Associate Professor Duy Ngo
Associate Professor
School of Engineering (Electrical and Computer Engineering)
- Email:duy.ngo@newcastle.edu.au
- Phone:(02) 4921 8947
From tin cans to Telstra towers
Adding to an international, fundamental knowledge base of wireless communications, Dr Duy Ngo is seeking to help commercial sectors capitalise on opportunities for 5G and beyond.
Dr Duy Ngo is tackling some of the most pertinent research questions within broadband wireless communications. This area requires multiple skill sets, including knowledge of complex international standards, practical features of real world systems and mathematical agility to solve extremely intricate, large scale optimisation problems. He's asking how and why, and what if, using mathematics to efficiently allocate the limited radio resources and maximise network performances. The winner of the 2015 Vice-Chancellor's Award for Research and Innovation Excellence for the Faculty of Engineering and Built Environment, is similarly employing optimisation theory to effectively manage signal interferences.
"There is an urgent need to substantially increase data throughput," he elaborates.
"We generate too much data currently so the communication network is overloaded."
"Every year the amount of data is doubled – how do we cope with that?"
"In 2020 it's projected this will jump by 1000 times."
Working to provide "faster, smarter and longer-lasting" wireless solutions, Duy acknowledges these problems are also chances for industry renewal and growth.
"It's about creating ideal trade-offs," he contends.
"Boosts in signal transmit power don't automatically mean boosts in data quantity."
Innovate and evaluate
Duy came to Australia in 2003, when he undertook a Bachelor of Engineering degree at the University of New South Wales. Four years later, the University medallist relocated to Canada, commencing a Master of Science degree at the University of Alberta.
"I followed up these academic efforts with a PhD at McGill University, where I was involved in a collaborative research and development project with Blackberry," he recalls.
"During this multi-year probe, I mathematically modelled the communication network and used optimisation theory to solve key issues related to interference management."
"Computers allowed me to generate large-scale numerical examples to verify my findings."
"In the end, I came up with several novel algorithms that were later published in the top journals of the Institute of Electrical and Electronics Engineers (IEEE)."
Down to the wire
Duy joined the University of Newcastle immediately after receiving his doctorate in 2013, signing on to become a lecturer within its School of Electrical Engineering and Computer Science. He's since spearheaded a number of research projects, most recently investigating the pros and cons of small-cell 5G networks.
"They've been suggested as one way of meeting widespread demand for pervasive wireless access," the expert explains.
"Basically, we would bring cell phones closer to the base station or access point."
"If we deploy a lot of them, however, signal interferences will be strong and unpredictable."
Of "significant" value, Duy's work in this area is set to benefit all leading telecommunication corporations, including Huawei and Qualcomm.
"I've successfully resolved several long-standing, non-convex combinatorial problems for power control and channel assignment," he affirms.
"For the first time, I've devised globally optimal radio resource management algorithms too."
"These are of extremely low complexity and offer very high throughput for large-scale networks."
A proven master at multitasking, Duy is also exploring the ins and outs of wireless energy harvesting. Contributing to the realisation of the 'Internet of Things,' he's proposing new power allocation and energy beamforming methods that maximise the amount of data transmitted to mobile devices whilst wirelessly and optimally charging those devices.
"We want to connect everything together, not just computers," the early career researcher asserts.
"This simultaneous wireless information and power transfer will assist many different fields."
"Heart-monitoring implants, biochip transponders and built-in car sensors would no longer need their batteries replaced, for example."
An active collaborator, Duy is in the process of identifying ways to "cut the last wire" as well.
"We're exploring options to make the wireless-powered network a reality," he states.
"It's very exciting."
In the loop
Similarly invested in vehicular networks, Duy has newly developed "advanced road safety communication solutions" too.
"I've created multi-hop transmission protocols that autonomously broadcast messages to all moving cars, trucks and buses with very low end-to-end delay and a very high success rate," he shares.
"These will be particularly useful and important when Google and Tesla rollout their self-driving vehicles in the future."
With "ups and downs" in this arena experienced over the last decade, Duy is promising to ensure Australia "keeps up" with what is happening abroad.
"I am a Chief Investigator in an Australian Research Council Linkage Grant with Ericsson AB in Sweden, the world's leading LTE network vendor," he advises.
"I'll be designing feedback control and optimisation algorithms for 5G."
"Work will begin in early 2016."
Related links
From tin cans to Telstra towers
Adding to an international, fundamental knowledge base of wireless communications, Dr Duy Ngo is seeking to help commercial sectors capitalise on opportunitie
Career Summary
Biography
Duy Trong Ngo came to Australia in 2003 for undergraduate study under the prestigious Australian Development Scholarship scheme. In March 2007, he received the B.Eng. degree (with First-class Honours and the University Medal) in Telecommunication Engineering from The University of New South Wales, Sydney. Seeking for more international research experience, he then relocated to Canada for graduate studies. At the University of Alberta, he worked with Prof. Chinthananda Tellambura under the Alberta Ingenuity Fund Scholarship and obtained the M.Sc. degree in Electrical Engineering (Communication) in November 2009. In the same year, he moved to Montreal, Quebec to attend McGill University as well as to experience French Canada. Advised by Prof. Tho Le-Ngoc and supported by the prestigious Alexander Graham Bell Canada Graduate Scholarship for Doctoral Studies, he received the Ph.D. degree in Electrical Engineering in November 2013.
He moved back to Australia in July 2013 to take up a tenured position at the School of Electrical Engineering and Computing, The University of Newcastle, where he is now an Associate Professor of Telecommunications. During 2013-14, he was awarded the honourary titles of "Natural Sciences and Engineering Research Council (NSERC) Postdoctoral Fellow" by the Government of Canada and "Fonds de recherche du Quebec - Nature et technologies (FQRNT) Postdoctoral Fellow" by the Government of Quebec. During October 2014, he was a Visiting Professor at the University of Alberta, Canada. During October 2015, he was a Visiting Research Professor at the Research Center for Wireless Energy Harvesting Communications, Sungkyunkwan University, South Korea. His broad research interest is in the design and optimisation for wireless communications networks.
At The University of Newcastle, Dr. Ngo received the Vice-Chancellor's Award for Research and Innovation Excellence for the top No.1 Engineering and Built Environment early-career researcher in 2015.
Within the Faculty of Engineering and Built Environment, Dr. Ngo received the Pro Vice-Chancellor's Award for Research Excellence in 2015, and the Pro Vice-Chancellor's Award for Teaching Excellence in 2017 for contributions to teaching and the support of learning that influence, motivate and inspire students to learn.
He is a proud Vietnamese-born Canadian Australian.
Research Expertise
At The University of Newcastle, he leads a research team that works on some currently most active areas of 5G/6G wireless networks, e.g., cell-free massive MIMO, wireless federated learning, LEO satellite communications, mobile edge computing, and vehicle-to-everything (V2X) communications for intelligent transportation systems.
Teaching Experience
Analog and Digital Communications; Telecommunications Networks; Wireless Communications; Signals and Systems; Digital Signal Processing; Embedded Systems; Electrical Engineering Design; Introduction to Engineering Practices.
Qualifications
- PhD (Electrical & Computer Eng), McGill University - Canada
- Bachelor of Engineering (Telecomunicat Eng)(Hons), University of New South Wales
- Master of Science (Communications), University of Alberta - Canada
Keywords
- 5G wireless networks
- 6G wireless networks
- applied machine learning
- intelligent transportation systems
- optimisation
- satellite communications
- signal processing
Languages
- English (Fluent)
- Vietnamese (Mother)
Fields of Research
Code | Description | Percentage |
---|---|---|
460609 | Networking and communications | 30 |
400602 | Data communications | 10 |
400608 | Wireless communication systems and technologies (incl. microwave and millimetrewave) | 60 |
Professional Experience
UON Appointment
Title | Organisation / Department |
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Associate Professor | University of Newcastle School of Electrical Engineering and Computing Australia |
Academic appointment
Dates | Title | Organisation / Department |
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19/10/2015 - 30/10/2015 | Visiting Research Professor | Sungkyunkwan University Research Center for Energy Harvesting Communications Korea, Republic of |
5/10/2014 - 20/10/2014 | Visiting Professor | University of Alberta Canada |
26/7/2013 - 31/12/2016 | Lecturer | University of Newcastle School of Electrical Engineering and Computing Australia |
Awards
Award
Year | Award |
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2018 |
Best Poster Award, AMSI Optimise Conference AMSI Australian Mathematical Sciences Institute |
2017 |
Pro Vice-Chancellor's Award for Teaching Excellence University of Newcastle - Faculty of Engineering & Built Environment |
Distinction
Year | Award |
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2007 |
University Medal University of New South Wales |
Prize
Year | Award |
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2006 |
NICTA Telecommunications Excellence Award NICTA (National Information and Communications Technology Australia) |
Recipient
Year | Award |
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2013 |
NSERC Postdoctoral Fellowship Natural Sciences and Engineering Research Council (NSERC) |
2013 |
FRQNT Postdoctoral Fellowship Fonds de recherche du Québec - Nature et technologies (FRQNT) |
Research Award
Year | Award |
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2015 |
Pro Vice-Chancellor's Award for Research Excellence University of Newcastle - Faculty of Engineering & Built Environment |
2015 |
Vice-Chancellor's Award for Research and Innovation Excellence The University of Newcastle |
Scholarship
Year | Award |
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2011 |
Alexander Graham Bell Canada Graduate Scholarship Government of Canada |
2009 |
McGill International Doctoral Award McGill University |
2009 |
Clifford Pang Doctoral Fellowship McGill University |
2009 |
McGill Engineering Doctoral Award McGill University |
2007 |
Alberta Ingenuity Fund Scholarship Alberta Ingenuity |
2007 |
iCORE Graduate Scholarship in ICT Informatics Circle of Research Excellence (iCORE) (former) |
2003 |
Australian Development Scholarship AusAID (Australian Agency for International Development) |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Book (1 outputs)
Year | Citation | Altmetrics | Link | ||
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2014 |
Ngo DT, Le-Ngoc T, Architectures of Small-Cell Networks and Interference Management, Springer, USA, 121 (2014) [A1]
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Chapter (3 outputs)
Year | Citation | Altmetrics | Link | ||
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2020 |
Gupta S, Khan J, Ngo D, 'A LTE-Direct Based Communication System for Safety Services in Vehicular Networks', Moving Broadband Mobile Communications Forward - Intelligent Technologies for 5G and Beyond, InTechOpen, Online 1-27 (2020) [B1]
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2014 | Javed MA, Ngo DT, Khan JY, 'Multimedia Communication for Emergency Services in Cooperative Vehicular Ad Hoc Networks', Multimedia Over Cognitive Radio Networks: Algorithms, Protocols and Experiments, CRC Press, Boca Raton, FL 319-346 (2014) [B1] | Nova | |||
2012 |
Ngo DT, Nguyen DHN, Le-Ngoc T, 'Intercell interference coordination: Towards a greener cellular network', Handbook of green information and communication systems, Academic Press (Elsevier), San Diego, CA / United States 147-182 (2012) [B1]
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Journal article (43 outputs)
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2024 |
Andrews ZC, Ngo DT, 'New Wireless Beacon Deployment for Maximum Coverage Efficiency in Indoor Localization', IEEE Sensors Letters, 8 1-4 (2024) [C1] In large-scale deployments of indoor positioning systems (IPSs), a major practical challenge is determining the placement of a minimal number of beacons to ensure full localizatio... [more] In large-scale deployments of indoor positioning systems (IPSs), a major practical challenge is determining the placement of a minimal number of beacons to ensure full localization coverage. In this letter, we propose a theoretically optimal design for the deployment of wireless sensors in localization applications. First, we mathematically derive the maximum coverage efficiency of frac{2}{pi sqrt{3}} approx 0.37 for the unique localization of any arbitrary region, where localization of a single point can be achieved by using two or three fixed-range beacons. We then propose a novel beacon placement structure according to the kagome lattice that achieves this maximum efficiency. Compared with recent existing methods, our proposed kagome beacon placement significantly reduces the required number of beacons by more than 15% when applied to randomly generated regions. Importantly, it does so while incurring a substantially lower computational complexity. The results of this letter are promising for pico-and femto-cell deployments with applications in localization of advanced industrial automation, health monitoring in complex infrastructure, and adaptive urban development in smart cities.
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2023 |
Nguyen BL, Nguyen DD, Nguyen HX, Ngo DT, Wagner M, 'Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach', IEEE Transactions on Emerging Topics in Computational Intelligence, (2023) [C1] Vehicular edge computing has emerged as a solution for enabling computation-intensive applications within Intelligent Transportation Systems (ITS), encompassing domains like auton... [more] Vehicular edge computing has emerged as a solution for enabling computation-intensive applications within Intelligent Transportation Systems (ITS), encompassing domains like autonomous driving and augmented reality. Despite notable progress in this domain, the efficient allocation of constrained computational resources to a spectrum of time-critical ITS tasks remains a substantial challenge. We address this challenge by devising an innovative task assignment scheme tailored for vehicles navigating a highway. Given the high speed of vehicles and the limited communication radius of roadside units (RSUs), the dynamic migration of computation tasks among multiple servers becomes imperative. We present a novel approach that formulates the task assignment challenge as a binary nonlinear programming (BNLP) problem, managing the allocation of computation tasks from vehicles to RSUs and a macrocell base station. To tackle the potentially large dimensionality of this optimization problem, we develop a distributed multi-agent regret-matching learning algorithm. Incorporating the method of regret minimization, our proposed algorithm employs a forgetting mechanism that enables a continuous learning process, thereby accommodating the high mobility of vehicle networks. We prove that this algorithm converges towards correlated equilibrium solutions for our BNLP formulation. Extensive simulations, grounded in practical parameter settings, underscore the algorithm's ability to minimize total delay and task processing costs, while ensuring equitable utility distribution among agents.
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2023 |
Tran LC, Le AT, Huang X, Dutkiewicz E, Ngo D, Taparugssanagorn A, 'Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs', IEEE Sensors Letters, 7 (2023) [C1] Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have tremendous potential applications due to their flexibility and rapid deployment. Hybrid time-of-arriv... [more] Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have tremendous potential applications due to their flexibility and rapid deployment. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization techniques are commonly used due to their high accuracy. The conventional TOA/AOA localization algorithms require both zenith and azimuth angle estimations at each agent. Since a zenith-and-azimuth AOA estimation requires an L-shape antenna array and complicated 2-D signal processing, conventional TOA/AOA algorithms lead to both hardware and computational complexity and high power consumption at each agent. This letter proposes a hybrid TOA/AOA localization algorithm, named $\text{T1A}_{a}$, to reduce the agents' complexity. $\text{T1A}_{a}$ only combines TOA-ranging with the azimuth angle estimation. Thereby, agents only require a 1-D antenna array, less complicated signal processing, and thus, lower power consumption. Such improvements are important for power-limited WSNs and Internet-of-Things (IoT) systems. Simulations are conducted to prove that the proposed $\text{T1A}_{a}$ technique can achieve similar performance as conventional TOA/AOA methods, while significantly simplifying agents' complexity.
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2022 |
Vu TT, Ngo HQ, Dao MN, Ngo DT, Larsson EG, Le-Ngoc T, 'Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations', IEEE Open Journal of the Communications Society, 3 2329-2346 (2022) [C1] This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (F... [more] This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization among users when executing each FL communication round, while the asynchronous design allows more flexibility for users to save energy by using lower computing frequencies. The session-based design splits the downlink and uplink phases in each FL communication round into separate sessions. In this design, we assign users such that one of the participating users in each session finishes its transmission and does not join the next session. As such, more power and degrees of freedom will be allocated to unfinished users, resulting in higher rates, lower transmission times, and hence, higher energy efficiency. In all three designs, we use zero-forcing processing for both uplink and downlink, and develop algorithms that optimize user assignment, time allocation, power, and computing frequencies to minimize the energy consumption at the base station and users, while guaranteeing a predefined maximum execution time of each FL communication round.
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2022 |
Nguyen BL, Ngo DT, Dao MN, Bao VNQ, Vu HL, 'Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks', IEEE Transactions on Intelligent Transportation Systems, 23 10322-10332 (2022) [C1] Infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications are often combined to extend the connectivity and coverage in the Intelligent Transportation System (IT... [more] Infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications are often combined to extend the connectivity and coverage in the Intelligent Transportation System (ITS) and its applications, e.g., augmented reality, real-time parking management and online shopping. Through multi-hop I2V and V2V communications, requesting vehicles are always connected to road side units (RSUs) even when they do not reside within the RSUs' coverage range. However, there may be not adequate network resource for several I2V and V2V links when multiple vehicles request services simultaneously. In this paper, we propose a joint frequency scheduling and power control scheme to enhance connectivity in multi-hop I2V/V2V networks. We associate I2V and V2V links with tuple-links, then formulate an NP-hard problem in which a frequency scheduler and a power controller are jointly designed for the tuple-links. The NP-hard problem is decomposed into two separate subproblems by employing the delayed column generation technique. Then, we employ a method for linear programming and a greedy algorithm to address these subproblems. Through numerical experiments with practical parameter settings, we demonstrate the proposed scheme outperforms several existing ones in terms of connectivity enhancement, measured by the service resumption number and average achieved throughput. Furthermore, the efficiency of our scheme is further enhanced when the number of available channels is high, and buffer size equipped to the requesting vehicles is large.
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2022 |
Nguyen BL, Ngo DT, Tran NH, Dao MN, Vu HL, 'Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement', IEEE Transactions on Intelligent Transportation Systems, 23 1236-1246 (2022) [C1] Automotive infotainment systems are expected to be first deployed on highways to service drivers travelling long distances, who are more likely to utilize the infotainment applica... [more] Automotive infotainment systems are expected to be first deployed on highways to service drivers travelling long distances, who are more likely to utilize the infotainment applications. In order to meet the stringent requirements of the infotainment systems, road side units (RSUs) are installed along the highway to facilitate a continuous vehicle-to-infrastructure (V2I) connectivity. Due to the long travelling distance and small coverage of the individual RSU, a more cost-effective solution would be to combine V2I with the vehicle-to-vehicle (V2V) communications to maintain the continuous connectivity. In this paper, we propose a new dynamic cooperation scheme that employs a dynamic forwarder selection strategy to generate an adaptive multi-hop V2V path for connectivity maintenance and throughput enhancement at a vehicle located outside of the RSU's coverage range. For the commonly assumed scenario that all vehicles travel in the same direction and at the same speed, we develop an analytical model and derive closed-formed expressions for the average out-of-range connection time, number of service resumptions and achieved throughput. The developed analytical model provides insights into the impacts of inter-RSU distance, vehicles' assistance willingness and the target vehicle's buffer size to the network performance. Simulation results with practical parameter settings show that our proposed scheme is effective in improving connectivity while offering a high throughput for the target vehicle. In particular, a high vehicle density, more assistance willingness by the forwarders and a large buffer size at the target vehicle are shown to be helpful in sparse RSU deployments.
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2022 |
Vu TT, Ngo DT, Ngo HQ, Dao MN, Tran NH, Middleton RH, 'Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO', IEEE Internet of Things Journal, 9 21736-21750 (2022) [C1]
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2021 |
Dao NN, Ngo DT, Dinh NT, Phan TV, Vo ND, Cho S, Braun T, 'Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems', IEEE Systems Journal, 15 5094-5097 (2021) [C1] This paper addresses the tradeoff problem between hit ratio and content quality in edge caching systems for multiuser adaptive bitrate streaming (ABS) services. A dynamic policy f... [more] This paper addresses the tradeoff problem between hit ratio and content quality in edge caching systems for multiuser adaptive bitrate streaming (ABS) services. A dynamic policy for cache decision and quality level selection for each ABS content during every cache cycle is proposed. Achieving this policy is NP-complete. For this, the considered problem is transformed into a nested multidimensional 0/1 knapsack optimization problem which is then resolved by a cooperative transfer learning-accelerated genetic algorithm. Performance evaluation demonstrates an adaptation of the proposed algorithm on various video stream popularity models in terms of algorithmic convergence and cache balancing.
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2021 |
Phan KT, Huynh P, Nguyen DN, Ngo DT, Hong Y, Le-Ngoc T, 'Energy-Efficient Dual-Hop Internet of Things Communications Network with Delay-Outage Constraints', IEEE Transactions on Industrial Informatics, 17 4892-4903 (2021) [C1] This article considers a dual-hop Internet of Things communications network where sensor nodes transmit data to a gateway either directly or via other nodes using dual-hop communi... [more] This article considers a dual-hop Internet of Things communications network where sensor nodes transmit data to a gateway either directly or via other nodes using dual-hop communications. Each node employs separate transmission buffers to store its own sensing data and data received from other nodes. End-to-end delay quality-of-service constraints in terms of the maximum acceptable delay-outage probabilities are imposed. We investigate energy-efficient adaptive resource allocation problems (i.e., joint link scheduling, rate, and power allocation) to support minimum data rates of the nodes. A novel approach is proposed exploiting asymptotic delay analysis to first determine the achieved delay exponents of the queue length tail distributions to satisfy the delay-outage constraints. Next, the relation between the delay exponents and resource allocation variables are derived. Last, the solutions to the resulting constrained optimization problems are obtained using the Lagrangian approach and convex optimization. Illustrative examples demonstrate the effects of the rate requirements and delay constraint stringency on the power consumption and routing configuration.
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2021 |
Nguyen TD, Balef AR, Dinh CT, Tran NH, Ngo DT, Anh Le T, Vo PL, 'Accelerating Federated Edge Learning', IEEE COMMUNICATIONS LETTERS, 25 3282-3286 (2021) [C1]
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2021 |
Dahrouj H, Douik A, El-Hajjar M, Kaneko M, Li Y, Ngo DT, et al., 'Editorial: Resource Allocation in Cloud-Radio Access Networks and Fog-Radio Access Networks for B5G Systems', Frontiers in Communications and Networks, 2 (2021)
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2020 |
Alvi SA, Zhou X, Durrani S, Ngo DT, 'Sequencing and Scheduling for Multi-User Machine-Type Communication', IEEE Transactions on Communications, 68 2459-2473 (2020) [C1]
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2020 |
Vu TT, Ngo DT, Tran NH, Ngo HQ, Dao MN, Middleton RH, 'Cell-Free Massive MIMO for Wireless Federated Learning', IEEE Transactions on Wireless Communications, 19 6377-6392 (2020) [C1]
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2020 |
Nguyen BL, Ngo DT, Dao MN, Duong Q-T, Okada M, 'A Joint Scheduling and Power Control Scheme for Hybrid I2V/V2V Networks', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 69 15668-15681 (2020) [C1]
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2020 |
Nguyen LV, Ngo DT, Tran NH, Swindlehurst AL, Nguyen DHN, 'Supervised and Semi-Supervised Learning for MIMO Blind Detection with Low-Resolution ADCs', IEEE Transactions on Wireless Communications, 19 2427-2442 (2020) [C1]
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2020 |
Jameel F, Javed MA, Ngo DT, 'Performance Analysis of Cooperative V2V and V2I Communications Under Correlated Fading', IEEE Transactions on Intelligent Reporting Systems, 21 3476-3484 (2020) [C1]
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2020 |
Vu TT, Ngo DT, Dao MN, Duong QT, Okada M, Nguyen-Le H, Middleton RH, 'Energy-efficient full-duplex enabled cloud radio access networks', IEICE Transactions on Communications, E103B 71-78 (2020) [C1]
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2019 |
Tun YK, Tran NH, Ngo DT, Pandey SR, Han Z, Hong CS, 'Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation', IEEE Journal on Selected Areas in Communications, 37 1794-1807 (2019) [C1]
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2019 |
LeAnh T, Tran NH, Ngo DT, Han Z, Hong CS, 'Orchestrating Resource Management in LTE-Unlicensed Systems with Backhaul Link Constraints', IEEE Transactions on Wireless Communications, 18 1360-1375 (2019) [C1]
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2018 |
Nguyen DT, Khan JY, Ngo DT, 'A Distributed Energy-Harvesting-Aware Routing Algorithm for Heterogeneous IoT Networks', IEEE Transactions on Green Communications and Networking, 2 1115-1127 (2018) [C1]
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2018 |
Gamage S, Khan JY, Ngo DT, 'Adaptive resource allocation with traffic peak duration prediction and admission control for cognitive Wi-Fi networks', Computer Networks, 142 240-252 (2018) [C1]
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2018 |
Tung TV, Duy TN, Minh ND, Durrani S, Middleton RH, 'Spectral and Energy Efficiency Maximization for Content-Centric C-RANs With Edge Caching', IEEE TRANSACTIONS ON COMMUNICATIONS, 66 6628-6642 (2018) [C1]
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2018 |
Vu TT, Ngo DT, Dao MN, Durrani S, Nguyen DHN, Middleton RH, 'Energy Efficiency Maximization for Downlink Cloud Radio Access Networks with Data Sharing and Data Compression', IEEE Transactions on Wireless Communications, 17 4955-4970 (2018) [C1]
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2017 |
Leanh T, Tran NH, Ngo DT, Hong CS, 'Resource Allocation for Virtualized Wireless Networks with Backhaul Constraints', IEEE Communications Letters, 21 148-151 (2017) [C1]
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2017 |
Tam HHM, Tuan HD, Ngo DT, Duong TQ, Poor HV, 'Joint Load Balancing and Interference Management for Small-Cell Heterogeneous Networks with Limited Backhaul Capacity', IEEE Transactions on Wireless Communications, 16 872-884 (2017) [C1] In this paper, new strategies are devised for joint load balancing and interference management in the downlink of a heterogeneous network, where small cells are densely deployed w... [more] In this paper, new strategies are devised for joint load balancing and interference management in the downlink of a heterogeneous network, where small cells are densely deployed within the coverage area of a traditional macrocell. Unlike existing work, the limited backhaul capacity at each base station (BS) is taken into account. Here, users (UEs) cannot be offloaded to any arbitrary BS, but only to ones with sufficient backhaul capacity remaining. Jointly designed with traffic offload, transmit power allocation mitigates the intercell interference to further support the quality of service of each UE. The objective here is either: 1) to maximize the network sum rate subject to minimum throughput requirements at individual UEs, or 2) to maximize the minimum UE throughput. Both formulated problems belong to the difficult class of mixed-integer nonconvex optimization problems. The inherently binary BS-UE association variables are strongly coupled with the transmit power variables, making the problems even more challenging to solve. New iterative algorithms are developed based on an exact penalty method combined with successive convex programming, where the binary BS-UE association problem and the nonconvex power allocation problem are dealt with one at a time. At each iteration of the proposed algorithms, only two simple convex problems need to be solved at the same time scale. It is proven that the algorithms improve the objective functions at each iteration and converge eventually. Numerical results demonstrate the efficiency of the proposed algorithms in both traffic offloading and interference mitigation.
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2017 |
Tam HHM, Tuan HD, Ngo DT, Nguyen HH, 'Precoding design for Han-Kobayashi's signal splitting in MIMO interference networks', IEICE Transactions on Communications, E100B 1010-1016 (2017) [C1] For a multiuser multi-input multi-output (MU-MIMO) multicell network, the Han-Kobayashi strategy aims to improve the achievable rate region by splitting the data information inten... [more] For a multiuser multi-input multi-output (MU-MIMO) multicell network, the Han-Kobayashi strategy aims to improve the achievable rate region by splitting the data information intended to a serviced user (UE) into a common message and a private message. The common message is decodable by this UE and another UE from an adjacent cell so that the corresponding intercell interference is cancelled off. This work aims to design optimal precoders for both common and private messages to maximize the network sum-rate, which is a highly nonlinear and nonsmooth function in the precoder matrix variables. Existing approaches are unable to address this difficult problem. In this paper, we develop a successive convex quadratic programming algorithm that generates a sequence of improved points. We prove that the proposed algorithm converges to at least a local optimum of the considered problem. Numerical results confirm the advantages of our proposed algorithm over conventional coordinated precoding approaches where the intercell interference is treated as noise.
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2017 |
Nguyen TD, Khan JY, Ngo DT, 'Energy harvested roadside IEEE 802.15.4 wireless sensor networks for IoT applications', AD HOC NETWORKS, 56 109-121 (2017) [C1]
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2017 |
Tuan HD, Ngo DT, Tam HHM, 'Joint power allocation for MIMO-OFDM full-duplex relaying communications', Eurasip Journal on Wireless Communications and Networking, 2017 (2017) [C1]
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2017 |
Nasir AA, Tuan HD, Ngo DT, Duong TQ, Vincent Poor H, 'Beamforming Design for Wireless Information and Power Transfer Systems: Receive Power-Splitting Versus Transmit Time-Switching', IEEE Transactions on Communications, 65 876-889 (2017) [C1] Information and energy can be transferred over the same radio-frequency channel. In the power-splitting (PS) mode, they are simultaneously transmitted using the same signal by the... [more] Information and energy can be transferred over the same radio-frequency channel. In the power-splitting (PS) mode, they are simultaneously transmitted using the same signal by the base station (BS) and later separated at the user (UE)'s receiver by a power splitter. In the time-switching (TS) mode, they are either transmitted separately in time by the BS or received separately in time by the UE. In this paper, the BS transmit beamformers are jointly designed with either the receive PS ratios or the transmit TS ratios in a multicell network that implements wireless information and power transfer (WIPT). Imposing UE-harvested energy constraints, the design objectives include: 1) maximizing the minimum UE rate under the BS transmit power constraint, and 2) minimizing the maximum BS transmit power under the UE data rate constraint. New iterative algorithms of low computational complexity are proposed to efficiently solve the formulated difficult nonconvex optimization problems, where each iteration either solves one simple convex quadratic program or one simple second-order-cone-program. Simulation results show that these algorithms converge quickly after only a few iterations. Notably, the transmit TS-based WIPT system is not only more easily implemented but outperforms the receive PS-based WIPT system as it better exploits the beamforming design at the transmitter side.
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2016 |
Nasir AA, Tuan HD, Ngo DT, Durrani S, Kim DI, 'Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks', IEEE Communications Letters, 20 1687-1690 (2016) [C1] We consider the joint design of transmit beamforming and receive signal-splitting ratios in the downlink of a wireless network with simultaneous radio frequency information and en... [more] We consider the joint design of transmit beamforming and receive signal-splitting ratios in the downlink of a wireless network with simultaneous radio frequency information and energy transfer. Under constraints on the signal-to-interference-plus-noise ratio at each user and the total transmit power at the base station, the design objective is to maximize either the sum harvested energy or the minimum harvested energy. We develop a computationally efficient path-following method to solve these challenging nonconvex optimization problems. We mathematically show that the proposed algorithms iteratively progress and converge to locally optimal solutions. Simulation results further show that these locally optimal solutions are the same as the globally optimal solutions for the considered practical network settings.
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2016 |
Tam HHM, Tuan HD, Ngo DT, 'Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks', IEEE Transactions on Communications, 64 2340-2353 (2016) [C1] This paper designs jointly optimal linear precoders for both base stations (BSs) and users in a multiuser multi-input multi-output (MU-MIMO) multicell network. The BSs are full-du... [more] This paper designs jointly optimal linear precoders for both base stations (BSs) and users in a multiuser multi-input multi-output (MU-MIMO) multicell network. The BSs are full-duplexing transceivers while uplink users and downlink users (DLUs) are equipped with multiple antennas. Here, the network quality-of-service (QoS) requirement is expressed in terms of the minimum throughput at the BSs and DLUs. We consider the problems of either QoS-constrained sum throughput maximization or minimum cell throughput maximization. Due to the nonconcavity of the throughput functions, the optimal solutions of these two problems remain unknown in both half-duplexing and full-duplexing networks. The first problem has a nonconcave objective and a nonconvex feasible set, whereas the second problem has a nonconcave and nonsmooth objective. To solve such challenging optimization problems, we develop iterative low-complexity algorithms that only invoke one simple convex quadratic program at each iteration. Since the objective value is proved to iteratively increase, our path-following algorithms converge at least to the local optimum of the original nonconvex problems. Due to their guaranteed convergence, simple implementation, and low complexity, the devised algorithms lend themselves to practical precoder designs for large-scale full-duplex MU-MIMO multicell networks. Numerical results demonstrate the advantages of our successive convex quadratic programming framework over existing solutions.
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2016 |
Nasir AA, Ngo DT, Zhou X, Kennedy R, Durrani S, 'Joint Resource Optimization for Multicell Networks with Wireless Energy Harvesting Relays', IEEE Transactions on Vehicular Technology, 65 6168-6183 (2016) [C1]
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2016 |
Yang L, Chen J, Zhang H, Jiang H, Vorobyov S, Ngo DT, 'Cooperative Wireless Multicast: Performance Analysis and Time Allocation', IEEE Transactions on Vehicular Technology, 65 5810-5819 (2016) [C1]
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2015 |
Javed MA, Ngo DT, Khan JY, 'Distributed spatial reuse distance control for basic safety messages in SDMA-based VANETs', Vehicular Communications, 2 27-35 (2015) [C1] The periodic generation and transmission of basic safety messages (BSM) place a heavy burden on the load of a vehicular ad hoc network (VANET), where there also remain multiple pa... [more] The periodic generation and transmission of basic safety messages (BSM) place a heavy burden on the load of a vehicular ad hoc network (VANET), where there also remain multiple packet collisions undetected due to the hidden terminals. In this paper, we propose a distributed scheme that controls the spatial reuse distance to improve the efficiency of BSM transmissions in space-division multiple access (SDMA) based VANETs. With the proposed SDMA structure, only vehicles located sufficiently far apart are allowed to reuse the same time slot to send their BSMs. The signal interference is thus reduced while the hidden-node problem is essentially alleviated. Multiple transmissions per SDMA road segment or 'cell' are also enabled using the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA), giving rise to a much better use of both space and bandwidth. To guarantee that the actual number of BSM transmissions does not exceed the maximum allowable in each SDMA cell, we further devise an adaptive scheme that adjusts the spatial reuse distance in accordance with the vehicle density. Because the global information of vehicle density is not available at individual vehicles, we propose a distributed algorithm that estimates the vehicle density and makes consensus to enhance the accuracy of spatial reuse distance estimation. As the transmission range is controlled accordingly, the mutual interference among the SDMA cells is further reduced. Importantly, the developed control algorithm can be distributively implemented by each vehicle with limited information exchange. To optimize the performance of the proposed solution, we also determine the optimal bandwidth utilization that maximizes the newly-defined criterion termed as 'safe range,' an important figure-of-merit in vehicular safety applications. Simulation results confirm the clear advantages of our proposal over the available approaches in terms of safety range, packet reception rate, end-to-end delay and BSM inter-arrival time in realistic network scenarios.
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2014 |
Ngo DT, Khakurel S, Le-Ngoc T, 'Joint subchannel assignment and power allocation for OFDMA femtocell networks', IEEE Transactions on Wireless Communications, 13 342-355 (2014) [C1] In this paper, we propose a joint subchannel and power allocation algorithm for the downlink of an orthogonal frequency-division multiple access (OFDMA) mixed femtocell/macrocell ... [more] In this paper, we propose a joint subchannel and power allocation algorithm for the downlink of an orthogonal frequency-division multiple access (OFDMA) mixed femtocell/macrocell network deployment. Specifically, the total throughput of all femtocell user equipments (FUEs) is maximized while the network capacity of an existing macrocell is always protected. Towards this end, we employ an iterative approach in which OFDM subchannels and transmit powers of base stations (BS) are alternatively assigned and optimized at every step. For a fixed power allocation, we prove that the optimal policy in each cell is to give each subchannel to the user with the highest signal-to-interference-plus-noise ratio (SINR) on that subchannel. For a given subchannel assignment, we adopt the successive convex approximation (SCA) approach and transform the highly nonconvex power allocation problem into a sequence of convex subproblems. In the arithmetic-geometric mean (AGM) approximation, we apply geometric programming to find optimal solutions after condensing a posynomial into a monomial. On the other hand, logarithmic and difference-of-two-concave-functions (D.C.) approximations lead us to solving a series of convex relaxation programs. With the three proposed SCA-based power optimization solutions, we show that the overall joint subchannel and power allocation algorithm converges to some local maximum of the original design problem. While a central processing unit is required to implement the AGM approximation-based solution, each BS locally computes the optimal subchannel and power allocation for its own servicing cell in the logarithmic and D.C. approximation-based solutions. Numerical examples confirm the merits of the proposed algorithm. © 2014 IEEE.
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2014 |
Javed M, Ngo D, Khan J, 'A multi-hop broadcast protocol design for emergency warning notification in highway VANETs', EURASIP Journal on Wireless Communications and Networking, 2014 1-15 (2014) [C1]
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Show 40 more journal articles |
Conference (48 outputs)
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2021 |
Vu TT, Ngo DT, Ngo HQ, Dao MN, Tran NH, Middleton RH, 'Straggler Effect Mitigation for Federated Learning in Cell-Free Massive MIMO', IEEE International Conference on Communications ICC 2021, Montreal, Canada (2021) [E1]
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2021 |
Gupta SK, Khan JY, Ngo DT, 'A 5G-Based Vehicular Network Architecture to Enhance Road Safety Applications', 2021 IEEE 94th Vehicular Technology Conference (VTC2021), Norman, OK (2021) [E1]
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2021 |
Vu TT, Ngo HQ, Ngo DT, Dao MN, Larsson EG, 'Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups', 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings, Madrid, Spain (2021) [E1]
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2020 |
Alvi SA, Zhou X, Durrani S, Ngo DT, 'Proportionally-Fair Sequencing and Scheduling for Machine-Type Communication', 2020 IEEE International Conference on Communications. Proceedings, Dublin, Ireland (2020) [E1]
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2019 |
Gamage S, Khan JY, Ngo DT, 'Performance comparison of channel sensing and geolocation database-based resource allocation techniques for cognitive radio networks', 2019 IEEE 89th Vehicular Technology Conference (VTC Spring), Kuala Lumpur, Malaysia (2019) [E1]
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2019 |
Tran TD, Le LB, Vu TT, Ngo DT, 'Stackelberg Game-Based Network Slicing for Joint Wireless Access and Backhaul Resource Allocation', 2019 IEEE International Conference on Communications (ICC), Shanghai, China (2019) [E1]
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2019 |
Vu TT, Ngo DT, Ngo HQ, Le-Ngoc T, 'Full-Duplex Cell-Free Massive MIMO', 53rd IEEE International Conference on Communications ICC 2019, Shanghai, China (2019) [E1]
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2019 |
Gupta SK, Khan JY, Ngo DT, 'A D2D multicast network architecture for vehicular communications', 2019 IEEE 89th Vehicular Technology Conference VTC2019, Kuala Lumpur, Malaysia (2019) [E1]
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2019 |
Gupta SK, Khan JY, Ngo DT, 'Clustered Multicast Protocols for Warning Message Transmissions in a VANET', 2019 IEEE Vehicular Networking Conference, VNC, Los Angeles, CA (2019) [E1]
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2019 |
Nguyen BL, Ngo DT, Tran NH, Vu HL, 'Combining V2I with V2V Communications for Service Continuity in Vehicular Networks', 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, NZ (2019) [E1]
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2018 |
Gupta SK, Khan JY, Ngo DT, 'Cluster-based D2D architecture for safety services in vehicular ad hoc networks', 2018 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2018, Barcelona, Spain (2018) [E1]
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2018 |
Gamage S, Ngo DT, Khan JY, 'Statistical Delay-QoS Driven Resource Allocation for Multiuser Cognitive Radio Networks', 2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), Barcelona, SPAIN (2018) [E1]
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2018 |
Nguyen LV, Ngo DT, Tran NH, Nguyen DHN, 'Learning methods for MIMO blind detection with low-resolution ADCs', 2018 IEEE International Conference on Communications (ICC), Kansas City, MO (2018) [E1]
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2018 |
Vu TT, Ngo DT, Dao MN, Durrani S, Nguyen DHN, Middleton RH, 'Energy-Efficient Design for Downlink Cloud Radio Access Networks', 2018 IEEE International Conference on Communications (ICC), Kansas City, MO (2018) [E1]
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2017 |
Nguyen TD, Khan JY, Ngo DT, 'A Self-Sustainable RF Energy Harvesting Algorithm for WSN-Based IoT Applications', GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, SINGAPORE, YourSingapore, Singapore (2017) [E1]
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2017 |
Vu TT, Ngo DT, Ong L, Durrani S, Middleton RH, 'Joint Optimization of User Association, Data Delivery Rate and Precoding for Cache-Enabled F-RANs', GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, YourSingapore, Singapore, SINGAPORE (2017) [E1]
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2017 |
Gamage S, Khan JY, Ngo DT, 'An adaptive resource allocation technique with admission control for cognitive Wi-Fi networks', 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017, Paris, France (2017) [E1]
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2017 |
Nguyen TD, Khan JY, Ngo DT, 'An effective energy-harvesting-aware routing algorithm for WSN-based IoT applications', 2017 IEEE International Conference on Communications, Paris, France (2017) [E1]
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2016 |
Nasir AA, Ngo DT, Tuan HD, Durrani S, 'Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system', 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (2016) [E1] Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs)... [more] Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.
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2016 |
Javed MA, Khan JY, Ngo DT, 'Joint space-division multiple access and adaptive rate control for basic safety messages in VANETs', IEEE Wireless Communications and Networking Conference, WCNC (2016) [E1] In a vehicular ad hoc network (VANET), basic safety messages (BSM) are exchanged among vehicles to provide cooperative awareness and support safety applications. While the periodi... [more] In a vehicular ad hoc network (VANET), basic safety messages (BSM) are exchanged among vehicles to provide cooperative awareness and support safety applications. While the periodic generation and transmission of such messages already place a heavy burden on the network load, the hidden nodes further complicate the network situation with packet collisions being undetectable. In this paper, we propose a space-division multiple access (SDMA) technique combined with an adaptive rate control mechanism to improve the efficiency of BSM transmissions. With SDMA to reduce the interference among the vehicles and address the hidden-node problem, only vehicles located sufficiently far apart are allowed to reuse the same time slot to send their BSMs. The developed SDMA approach permits multiple transmissions per road segment and uses Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) in each segment, giving rise to a much better use of both space and bandwidth. To guarantee that the actual number of BSM transmissions does not exceed the maximum allowable, we devise an adaptive scheme that optimally adjusts the individual packet generation rates in accordance to the vehicle density. Toward this end, we find an optimal bandwidth utilization that maximizes the newly-defined metric, termed as 'safety throughput' per vehicle. Such an optimal utilization allows a large number of BSM packets to be generated while maintaining a high reception probability. Our comprehensive simulation results confirm the clear advantages of our proposal over the existing techniques, in terms of safety range, BSM packet inter-arrival time, and safety throughput.
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2016 |
Tran LC, Lin Z, Safaei F, Mertins A, Ngo DT, 'Exact error performance analysis of binary space-time block coded cooperative communications systems in Rayleigh fading channels', International Conference on Advanced Technologies for Communications (2016) [E1] Cooperative communications using the Alamouti space-time block code (STBC) has been mentioned intensively. However, to our knowledge, an in-depth error performance analysis for a ... [more] Cooperative communications using the Alamouti space-time block code (STBC) has been mentioned intensively. However, to our knowledge, an in-depth error performance analysis for a space-time coded cooperative communications system, where each node acts as both a source node and a relay node for its partner, has not been reported. Intuitively, cooperative communications would not always be better than direct transmission, but only under certain conditions. This paper first derives an exact performance analysis of the Alamouti STBC cooperative communications for a Binary Phase Shift Keying (BPSK) constellation, which could be extended to a higher density modulation scheme. This mathematical analysis facilitates the source nodes to decide pro-actively whether cooperative communications or direct transmission should be used, depending on the channel conditions between the sources themselves and the channel conditions between the sources and the destination. The anterior knowledge of which transmission mode should be used before nodes actually engage in cooperation is useful to keep system operations as simple as possible, while assuring that cooperative communications is definitely beneficial once it is in place. The analytical error performances are then verified by simulations and in-depth discussions on the simulation results are presented.
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2016 |
Nasir AA, Ngo DT, Tuan HD, Durrani S, Kim DI, 'Secure beamforming for max-min SINR in multi-cell SWIPT systems', Proceedings of the IEEE Wireless Communications and Networking Conference, Doha, Qatar (2016) [E1]
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2016 |
Nguyen DT, Khan JY, Ngo DT, 'An adaptive MAC protocol for RF energy harvesting wireless sensor networks', 2016 IEEE Global Communications Conference (GLOBECOM), Washington DC, USA (2016) [E1]
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2016 |
Gamage S, Khan JY, Ngo DT, 'QoS controlled spectrum switching resource allocation technique for cognitive Wi-Fi networks', IEEE Wireless Communications and Networking Conference (WCNC 2016), Doha, Qatar (2016) [E1]
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2016 |
Tuan HD, Ngo DT, Tarn HHM, 'Joint power allocation for MIMO-OFDM communication with full-duplex relaying', 2016 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Proceedings, Gold Coast, QLD (2016) [E1]
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2016 |
Tam HHM, Tuan HD, Ngo DT, 'User association in small cell heterogeneous network with downlink sum rate', 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (2016) [E1] This paper is concerned with the optimal association of user equipments (UEs) to the base stations, which are either a macro base station or pico base stations, for the sum rate u... [more] This paper is concerned with the optimal association of user equipments (UEs) to the base stations, which are either a macro base station or pico base stations, for the sum rate utility in a cooperative heterogeneous network (HetNet). This is a nonconvex combinatorial problem. By recasting the problem as a d.c (difference of convex (d.c.)) program, the optimal association solution is sought by d.c iterations (DCI), each of which solves a simple convex quadratic problem over a convex set. Numerical simulation shows the efficiency of the proposed procedure in term of performance and computational time.
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2015 |
Nasir AA, Ngo DT, Durrani S, 'DC programming for power minimization in a multicell network with RF-powered relays', 2015 22nd International Conference on Telecommunications, ICT 2015 (2015) [E1] We consider a multicell network where an amplify-and-forward relay is deployed in each cell to help the base station (BS) serve its cell-edge user. We assume that each relay scave... [more] We consider a multicell network where an amplify-and-forward relay is deployed in each cell to help the base station (BS) serve its cell-edge user. We assume that each relay scavenges energy from all received radio signals to process and forward the information data from the BS to the corresponding user. For this, a power splitter and a wireless energy harvester are implemented in the relay. Our aim is to minimize the total power consumption in the network while guaranteeing minimum data throughput for each user. To this end, we develop a resource management scheme that jointly optimizes three parameters, namely, BS transmit powers, power splitting factors for energy harvesting and information processing at the relays, and relay transmit powers. As the formulated problem is highly nonconvex, we devise a successive convex approximation algorithm based on difference-of-convex-functions (DC) programming. The proposed iterative algorithm transforms the nonconvex problem into a sequence of convex problems, each of which is solved efficiently in each iteration. We prove that this path-following algorithm converges to an optimal solution that satisfies the Karush-Kuhn-Tucker (KKT) conditions of the original nonconvex problem. Simulation results demonstrate that the proposed joint optimization solution substantially improves the network performance.
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2015 |
Nguyen DT, Khan J, Ngo DT, 'Energy harvested IEEE 802.15.4 wireless body area network', Proceedings of the 10th EAI International Conference on Body Area Networks (BodyNets '15), Sydney, Australia (2015) [E1]
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2015 |
Gamage S, Khan JY, Ngo DT, 'Geolocation database-assisted QoS-aware cognitive network architecture', 2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings (2015) [E1] Cognitive networks (CN) introduce an adaptable network architecture which enables efficient sharing of transmission resources among heterogeneous networks. Traditional CN architec... [more] Cognitive networks (CN) introduce an adaptable network architecture which enables efficient sharing of transmission resources among heterogeneous networks. Traditional CN architecture requires each network devices to independently employ channel sensing mechanisms to discover free (or white) spectrum that can be temporarily borrowed for its own use. However, the distributed physical layer-based channel borrowing techniques cannot guarantee the quality-of-service (QoS) requirements of primary and secondary users in a CN due to the lack of channel availability information. On the other hand, the FCC regulations introduced in 2010 allowed the use of Geo-Location Database (GDB) as the primary means of determining white space availability. Using GDB-based CN network architecture could offer significant QoS advantages. In this paper, we propose a new GDB-based QoS-aware CN architecture and secondary channel allocation technique that guarantees predictable and stable QoS for the secondary users. The proposed channel allocation technique uses statistical QoS estimation to predict the radio resource requirements of secondary users. We also propose to deploy a centralized channel manager that uses both proactive and reactive resource allocation techniques to allocate the white spectrum among secondary users. An OMNeT++ based CN simulation model has been developed to evaluate the proposed secondary channel allocation technique for an IEEE802.11 based cognitive WiFi network. Simulation results show that the proposed secondary channel allocation technique offers significant QoS advantages and stability to secondary users compared to the conventional distributed channel sensing technique.
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2015 |
Nguyen TD, Khan JY, Ngo DT, 'An energy and QoS-aware packet transmission algorithm for IEEE 802.15.4 networks', IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (2015) [E1] With the increasing deployment of wireless sensor networks (WSNs), the demand for energy efficiency (EE) and Quality of Service (QoS) guarantee for such networks is on the rise. I... [more] With the increasing deployment of wireless sensor networks (WSNs), the demand for energy efficiency (EE) and Quality of Service (QoS) guarantee for such networks is on the rise. In a distributed WSN, the EE could be directly related to the operational expenditure (OPEX) due to the frequent replacement of batteries. An increasing EE helps prolong the network lifetime. Energy efficiency in a WSN can be improved by optimising PHY and MAC layer algorithms. In this paper, we introduce an adaptive energy efficiency algorithm, known as ABSD that changes the MAC parameters of the IEEE 802.15.4 sensor nodes in response to the queue occupancy level of sensor nodes and the offered traffic load conditions. By adapting the transmission parameters, the ABSD algorithm minimises the network contention which could in turn improve the energy efficiency as well as the throughput. The paper also presents a mathematical model to characterise the energy consumption processes controlled by the IEEE 802.15.4 MAC layer. Our ABSD algorithm is simulated by using an OPNET-based discrete event simulation model. Simulation results show that the proposed algorithm offers high EE and maintains high QoS for different offered load conditions.
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2015 |
Nasir AA, Ngo DT, Zhou X, Kennedy RA, Durrani S, 'Sum throughput maximization for heterogeneous multicell networks with RF-powered relays', IEEE International Conference on Communications (2015) [E1] This paper considers a heterogeneous multicell network where the base station (BS) in each cell communicates with its cell-edge user with the assistance of an amplify-and-forward ... [more] This paper considers a heterogeneous multicell network where the base station (BS) in each cell communicates with its cell-edge user with the assistance of an amplify-and-forward relay node. Equipped with a power splitter and a wireless energy harvester, the relay scavenges RF energy from the received signals to process and forward the information. In the face of strong intercell interference and limited radio resources, we develop a resource allocation scheme that jointly optimizes (i) BS transmit powers, (ii) power splitting factors for energy harvesting and information processing at the relays, and (iii) relay transmit powers. To solve the highly non-convex problem formulation of sum-rate maximization, we propose to apply the successive convex approximation (SCA) approach and devise an iterative algorithm based on geometric programming. The proposed algorithm transforms the nonconvex problem into a sequence of convex problems, each of which is solved very efficiently by the interior-point method. We prove that our developed algorithm converges to an optimal solution that satisfies the Karush-Kuhn-Tucker conditions of the original nonconvex problem. Numerical results confirm that our joint optimization solution substantially improves the network performance, compared to the existing solution wherein only the received power splitting factors at the relays are optimized.
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2015 |
Nguyen TD, Ngo DT, Nasir AA, Khan JY, 'Utility-based interference management for full-duplex multicell networks', IEEE International Conference on Communications (2015) [E1] This paper develops power allocation schemes to manage the signal interference in a multiuser multicell network, where full-duplex transceivers are implemented at all base station... [more] This paper develops power allocation schemes to manage the signal interference in a multiuser multicell network, where full-duplex transceivers are implemented at all base stations (BSs) and user equipment units (UEs). Beside the acute intracell and intercell interferences, the significant residual self-interference at the full-duplex receivers is the limiting factor for any network performance enhancement. To help control such severe interferences, we propose to associate each bidirectional full-duplex link with a net utility function, which consists of a utility and a flexible price. While the utility corresponds to the link throughput, the proposed logarithmic cost function allows for a moderate penalty. Our aim is to maximize the sum network utility subject to the power constraints at the BSs and UEs. To solve the highly nonconvex problem formulation, we propose two successive convex approximation (SCA) algorithms based on the difference-of-convex-functions programming and the geometric programming. In each algorithm, we specifically tailor the generic SCA framework and transform our formulated nonconvex problem into a sequence of convex power allocation programs. We prove that the developed iterative algorithms converge to locally optimal solutions that satisfy the Karush-Kuhn-Tucker conditions of the original problem. Numerical results confirm that our utility-based solutions markedly improve the network throughput by effectively managing the interferences.
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2015 |
Tam HHM, Tuan HD, Ngo DT, Che E, 'User pairing and precoder design with Han-kobayashi transmission strategy in MU-MIMO multicell networks', Proceedings - IEEE Global Communications Conference, GLOBECOM (2015) [E1] This paper considers the Han-Kobayashi transmission strategy that mitigates the downlink intercell interference in a multiuser multi-input multi-output (MU-MIMO) multicell network... [more] This paper considers the Han-Kobayashi transmission strategy that mitigates the downlink intercell interference in a multiuser multi-input multi-output (MU-MIMO) multicell network. The base station (BS) splits the transmitted data of a user (UE) into a common message and a private message, the former of which is then decoded by a paired UE in another cell so as to reduce the respective cross-cell interference. Our aim here is to develop (i) A pairing rule that determines pairs of UEs to share common messages, and (ii) Optimal precoders at the BSs that maximize either the minimum UE throughput or the network sum-rate. To solve the combinatoric UE pairing problem, we propose a heuristic that pairs UEs with the largest corresponding cross-cell channel gains. This approach ensures that the most significant source of intercell interference is eliminated through common message decoding. We then apply the Frank-and-Wolfe procedure of concave programming to solve the highly nonconvex precoder design problems. We show that this procedure generates a sequence of improved solutions and eventually converges to at least a local optimum. Numerical results confirm the advantages of our proposed solution over the conventional strategy where intercell interference is treated as noise.
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2014 |
Javed MA, Khan JY, Ngo DT, 'Multimedia Transmission for Emergency Services in VANETs', VTC Fall 2014, Vancouver, Canada (2014) [E1]
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2014 |
Javed MA, Khan JY, Ngo DT, 'A tone-based time-slotted protocol for multi-hop emergency message dissemination in VANETs', 2014 IEEE 79th Vehicular Access Technology (VTC2014 - Spring) Proceedings, Seoul, Korea (2014) [E1]
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2014 | Le DA, Vu HV, Tran NH, Duong TQ, Ngo DT, 'Numerical calculation of achievable rates for cognitive radio with dynamic frequency hopping under imperfect spectrum sensing', IEEE International Conference on Communications and Electronics Proceedings, Danang, Vietnam (2014) [E1] | Nova | |||||||||
2007 |
Ngo DT, Tuan HD, Nguyen HH, 'Jointly optimal signature sequences and power allocation for CDMA', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2007) The problems of designing signature sequences and power allocation policy for code-division multiple access (CDMA) are important and have been the subject of intensive research in... [more] The problems of designing signature sequences and power allocation policy for code-division multiple access (CDMA) are important and have been the subject of intensive research in recent years. Two different criteria adopted in such design problems are the user capacity and the information-theoretic capacity. Regarding the maximization of the information-theoretic capacity, most of the previous works only consider the optimizations of signature sequences and power allocation separately. In contrast, this paper presents a jointly optimal design of signature sequences and power allocation under the sum power constraint. The proposed design is of closed-form and applicable for the general case of correlated signals and colored noise. Numerical results verify the superiority of the proposed design over the existing ones. © 2007 IEEE.
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Show 45 more conferences |
Grants and Funding
Summary
Number of grants | 27 |
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Total funding | $1,844,770 |
Click on a grant title below to expand the full details for that specific grant.
20234 grants / $204,740
New communication methods to enable federated learning for bushfire prediction using LEO satellites$97,500
Funding body: University of Technology Sydney
Funding body | University of Technology Sydney |
---|---|
Project Team | Associate Professor Duy Ngo, Lachlan Drake, Associate Professor Lawrence Ong, Associate Professor Nguyen Tran |
Scheme | Connectivity Innovation Network PhD Scholarship |
Role | Lead |
Funding Start | 2023 |
Funding Finish | 2025 |
GNo | G2301034 |
Type Of Funding | Scheme excluded from IGS |
Category | EXCL |
UON | Y |
Performance optimization in wireless communication systems with antenna arrays: Massive MIMO and intelligent reflecting surfaces$55,000
Funding body: National Foundation for Science and Technology Development (NAFOSTED)
Funding body | National Foundation for Science and Technology Development (NAFOSTED) |
---|---|
Project Team | Ha Hoang Kha, Nguyen Dinh Long, Duy Ngo, Vo Que Son, Ta Quang Hung |
Scheme | Grant program for basic research in natural sciences |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2025 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
A Smart System for Monitoring and Quality Control of Dragon Fruit in Vietnam’s Cold Freight Trucks$50,000
Funding body: ATSE (Australian Academy of Technology and Engineering)
Funding body | ATSE (Australian Academy of Technology and Engineering) |
---|---|
Project Team | Associate Professor Duy Ngo, Quoc-Chi Nguyen, Associate Professor Lawrence Ong, Doctor Quan Vuong, Associate Professor James Welsh |
Scheme | Global Connections Fund: Bridging Grant |
Role | Lead |
Funding Start | 2023 |
Funding Finish | 2024 |
GNo | G2200738 |
Type Of Funding | C1500 - Aust Competitive - Commonwealth Other |
Category | 1500 |
UON | Y |
Augmented reality for Hunter Retrieval Service$2,240
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Lawrence Ong, Associate Professor Duy Ngo, Dr Torgrim Soeyland, Associate Professor James Welsh |
Scheme | Pilot Funding Scheme |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2023 |
GNo | G2300456 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20211 grants / $64,000
Automated farm-to-shop freight quality monitoring and assurance system$64,000
Funding body: iMOVE Australia Limited
Funding body | iMOVE Australia Limited |
---|---|
Project Team | Associate Professor Duy Ngo, Associate Professor Duy Ngo, Associate Professor Jamil Khan, Associate Professor Lawrence Ong, Doctor Quan Vuong, Mr Teran Wanniarachchi, Associate Professor Jamil Khan |
Scheme | End to End Freight Solution |
Role | Lead |
Funding Start | 2021 |
Funding Finish | 2024 |
GNo | G2100302 |
Type Of Funding | CRC - Cooperative Research Centre |
Category | 4CRC |
UON | Y |
20192 grants / $71,500
Improving secure performance of energy harvesting networks$70,000
Funding body: National Foundation for Science and Technology Development (NAFOSTED)
Funding body | National Foundation for Science and Technology Development (NAFOSTED) |
---|---|
Project Team | Vo Nguyen Quoc Bao, Pham Minh Quang, Tran Thien Thanh, Nguyen Luong Nhat, Duy Trong Ngo |
Scheme | Grant program for basic research in natural sciences |
Role | Investigator |
Funding Start | 2019 |
Funding Finish | 2021 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Faculty Travel Grant$1,500
Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Funding body | Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
---|---|
Project Team | Dr Duy Ngo |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2019 |
Funding Finish | 2019 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20181 grants / $4,000
Research Incentive Fund$4,000
Funding body: The University of Newcastle
Funding body | The University of Newcastle |
---|---|
Project Team | Duy Ngo |
Scheme | SEEC Research Incentive Fund |
Role | Lead |
Funding Start | 2018 |
Funding Finish | 2018 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20175 grants / $773,767
Enabling ultra-reliable and sustainable machine-to-machine communications$352,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Dr Salman Durrani; Dr Xiangyun Zhou; Dr Duy Ngo; Professor Halim Yanikomeroglu |
Scheme | Discovery Projects |
Role | Investigator |
Funding Start | 2017 |
Funding Finish | 2019 |
GNo | |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | N |
Early Career Researcher HDR Candidate Scholarship$215,467
Funding body: The University of Newcastle
Funding body | The University of Newcastle |
---|---|
Project Team | Dr Duy Ngo, Mr. Thanh Tung Vu |
Scheme | Early Career Researcher (ECR) Higher Degree by Research (HDR) Scholarships |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2020 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
High spectral efficiency transmissions for the next generation of broadband mobile communications: Technique development and collaboration networking$200,000
Funding body: Ministry of Science and Technology
Funding body | Ministry of Science and Technology |
---|---|
Project Team | Dr. Nguyen Le Hung, Dr. Vo Nguyen Quoc Bao, Dr. Nguyen Linh-Trung, Prof. Pierre Duhamel, Prof. Tho Le-Ngoc, Dr. Van Tam Nguyen, Dr. Duy Ngo, Dr. Nghi Tran |
Scheme | Foreign Talents STI Grants |
Role | Investigator |
Funding Start | 2017 |
Funding Finish | 2019 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Joint content reuse and radio resource management for cache-enabled fog radio access networks$4,800
Funding body: The University of Newcastle
Funding body | The University of Newcastle |
---|---|
Scheme | Research Incentive grant |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2017 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
Conference Travel Grant$1,500
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Dr Duy Ngo |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2017 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20164 grants / $32,949
Collaborative research with the University of Danang, Vietnam and the University of Newcastle, Australia on "Simultaneous Wireless Information and Power Transfer Techniques"$20,000
Funding body: Nara Institute of Science and Technology (Japan)
Funding body | Nara Institute of Science and Technology (Japan) |
---|---|
Scheme | Global Collaborative Project |
Role | Investigator |
Funding Start | 2016 |
Funding Finish | 2017 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Equipment Grant$9,388
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Dr. Duy Ngo |
Scheme | Equipment Grant |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
Research and Innovation Excellence$2,061
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Duy Ngo |
Scheme | VC's Award for Research and Innovation Excellence |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | G1501443 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Official research visit to Nara Institute of Science and Technology, Japan$1,500
Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Funding body | Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
---|---|
Project Team | Dr. Duy Ngo |
Scheme | Faculty Conference Travel Grant |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20155 grants / $537,314
Integrated Feedback Control in Future Wireless Communication Networks$365,114
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Emeritus Professor Rick Middleton, Dr Robert Karlsson, Associate Professor Duy Ngo, Dr Torbjorn Wigren, Associate Professor Kaushik Mahata, Ms Ying Sun, Dr Linda Brus |
Scheme | Linkage Projects |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2018 |
GNo | G1401341 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Integrated Feedback Control in Future Wireless Communication Networks$165,000
Funding body: Ericsson AB
Funding body | Ericsson AB |
---|---|
Project Team | Dr Linda Brus, Dr Robert Karlsson, Associate Professor Kaushik Mahata, Emeritus Professor Rick Middleton, Associate Professor Duy Ngo, Dr Torbjorn Wigren, Ms Ying Sun |
Scheme | Linkage Projects Partner Funding |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2017 |
GNo | G1500674 |
Type Of Funding | C3400 – International For Profit |
Category | 3400 |
UON | Y |
Simultaneous wireless information and power tranfer: Getting ready for the Internet of Things$5,000
Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Funding body | Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
---|---|
Project Team | Dr. Duy Ngo, Dr. Lawrence Ong, Prof. Richard Middleton |
Scheme | FEBE Strategic Pilot Grant |
Role | Lead |
Funding Start | 2015 |
Funding Finish | 2015 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
IEEE International Conference on Communications, London UK, 8-12 June 2015.$1,200
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Associate Professor Duy Ngo |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2015 |
Funding Finish | 2015 |
GNo | G1500339 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Pro Vice-Chancellor's Award for Research Excellence$1,000
Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Funding body | Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
---|---|
Scheme | Pro Vice-Chancellor's Award for Research Excellence |
Role | Lead |
Funding Start | 2015 |
Funding Finish | 2016 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20143 grants / $16,500
Radio resource management for hyper dense deployment of small-cell wireless heterogeneous networks$10,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Duy Ngo |
Scheme | Early Career Researcher Grant |
Role | Lead |
Funding Start | 2014 |
Funding Finish | 2014 |
GNo | G1301282 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Enabling radio resource management techniques for autonomous wireless networks$5,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Duy Ngo |
Scheme | New Staff Grant |
Role | Lead |
Funding Start | 2014 |
Funding Finish | 2014 |
GNo | G1301354 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Equipment Grant$1,500
Funding body: The University of Newcastle, Australia
Funding body | The University of Newcastle, Australia |
---|---|
Project Team | Dr Duy Ngo |
Scheme | Equipment Grant |
Role | Lead |
Funding Start | 2014 |
Funding Finish | 2014 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20132 grants / $140,000
Enabling optimization techniques for large-scale autonomous wireless networks$80,000
Funding body: Natural Sciences and Engineering Research Council of Canada
Funding body | Natural Sciences and Engineering Research Council of Canada |
---|---|
Project Team | Duy Ngo |
Scheme | Postdoctoral Fellowship |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2015 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Optimization techniques for large-scale autonomous wireless networks$60,000
Funding body: Fonds de recherche du Québec - Nature et technologies (FRQNT)
Funding body | Fonds de recherche du Québec - Nature et technologies (FRQNT) |
---|---|
Project Team | Duy Ngo |
Scheme | Postdoctoral Research Fellowship |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2015 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
Research Supervision
Number of supervisions
Current Supervision
Commenced | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2024 | PhD | Wireless Health Care Monitoring and Diagnosis using Channel State Information in Wireless Networks | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2023 | PhD | New Communication Methods To Enable Federated Learning For Bushfire Prediction Using LEO Satellites | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2021 | PhD | IoT-based Food Supply Chain Management Systems | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2021 | PhD | Cooperative Vehicle-to-Everything Communications for Intelligent Transportation System Applications | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2021 | PhD | 5G-Based Communication System for Future Vehicular Ad-Hoc Network | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2021 | PhD | Collaborative Processing and Radio Resource Management for Cloud-based Radio Access Networks | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2019 | PhD | Future Cognitive Network Architecture with Deterministic Resource Allocation Techniques | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2018 | PhD | Adaptive Packet Transmission Techniques for Energy-Efficient and Quality-of-Service Optimized Heterogeneous IoT Networks | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
Research Collaborations
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
Country | Count of Publications | |
---|---|---|
Australia | 79 | |
Canada | 26 | |
United Kingdom | 10 | |
Korea, Republic of | 9 | |
United States | 9 | |
More... |
News
News • 17 Aug 2015
ARC Linkage Project funding success
Professor Richard Middleton and team have been awarded $350,000 in ARC Linkage Project funding for their research project Integrated feedback control in future wireless communication networks.
Associate Professor Duy Ngo
Position
Associate Professor
School of Engineering
College of Engineering, Science and Environment
Focus area
Electrical and Computer Engineering
Contact Details
duy.ngo@newcastle.edu.au | |
Phone | (02) 4921 8947 |
Fax | (02) 4921 6993 |
Office
Room | EAG19 |
---|---|
Building | EA Building. |
Location | Callaghan University Drive Callaghan, NSW 2308 Australia |