Mr Shah Mahdi Hasan
Shah Mahdi Hasan received his Bachelor of Science (BSc) in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2015. Currently, he is pursuing his Doctor of Philosophy (PhD) in School of Electrical Engineering and Computing at the University of Newcastle (UoN), Australia. He is conducting his research on developing fast and low cost algorithm to be deployed in next generation wireless communication systems.
He has 5+ years of experience in R&D (Research and Development) in both industry and academia. Prior to start his PhD at UoN, he worked with Grameenphone, a subsidiary of Telenor. He received Best Paper Award for his debut publication on stochastic geometric analysis of OFDMA based LTE-A networks at IEEE Communication Society (ComSoc) student paper contest in 2015. In the same year, a team led by him won Runner-Up position in Cadence Xtensa Design Contest for designing Adaptive Beamformer for Microphone Array in non-stationary noise.
In UoN, he worked on parameter estimation problem in BiStatic Frequency Diverse Array (FDA) radar. Later, he worked on codebook design problem for uplink non-orthogonal multiple access (NOMA) systems. Specifically, he worked on designing robust and scalable Sparse Code Multiple Access (SCMA) codebook. These works were published in Elsevier and IEEE International Conference on Communication (ICC 2020), Dublin.
Currently, he is working on Dense Code Multiple Access (DCMA) sequence design problem. Also his work includes massive-overloading of grant-free NOMA systems. Several articles are under peer-review phase and rest of those are in development pipeline.
His research interest include estimation theory, statistical signal processing, information theory and statistical learning.
- Compressed Sensing
- Estimation Theory
- Information Theory
- Statistical Signal Processing
- Wireless Communication
- Bengali (Mother)
- English (Fluent)
|Dates||Title||Organisation / Department|
|1/10/2014 - 1/4/2015||
1. Designed Speech Identifier using Minimum Mean Square Short Time Amplitude Estimator (MMS-STSA)
2. Designed Direction of Incidence (DoI) estimator using Multi-Channel Cross Correlation (MCCC)
3. Designed adaptive beamformer using Frost Beamformer in presence of non-stationary pink noise
4. Deployed the end-to-end algorithm in a Xtensa simulator using C++
|Cadence Xtensa Design Contest Team 2015
|Dates||Title||Organisation / Department|
|1/10/2015 - 1/11/2017||
||Grameenphone Ltd (A Subsidiary of Telenor Group Norway)
Best Paper Award
IEEE Communication Society
The University of Newcastle Research Scholarship Central 50:50 (UNRSC50:50)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
The University of Newcastle International Postgraduate Research Scholarship (UNIPRS)
Faculty of Engineering and Built Environment- The University of Newcastle
Introduction to Procedural Programming
The University of Newcastle, Faculty of Engineering and built Environment, School of Electrical Engineering and Computing
|Casual Academic||1/2/2019 - 1/7/2019|
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (2 outputs)
Hasan SM, Mahata K, Hyder MM, 'Uplink Grant-Free NOMA with Sinusoidal Spreading Sequences', IEEE Transactions on Communications, 69 3757-3770 (2021)
Grant-access based legacy networks are unable to deliver Uplink (UL) dominated sporadic transmission of short packets with low signalling overhead, which are the requirements of M... [more]
Grant-access based legacy networks are unable to deliver Uplink (UL) dominated sporadic transmission of short packets with low signalling overhead, which are the requirements of Massive Machine Type Communication (mMTC). Hence, grant-free Non-Orthogonal Multiple Access (NOMA) techniques are more suited for mMTC. Due to the inherent sparsity in the user activity pattern in an mMTC system, the existing literature revolves around Compressive Sensing based Multi User Detection (CS-MUD) algorithms, which employ random or Zadoff-Chu spreading sequences for NOMA. In this paper we explore the utility of sinusoidal spreading sequences, which allow some non-iterative algorithms to be employed in the context of active user detection, channel estimation and data detection in a UL grant-free mMTC system. These algorithms do not need prior knowledge about the user behaviour statistics, noise statistics, and the level of sparsity in the user activity, which might be difficult to obtain at the Base Station (BS). We present a comprehensive performance and complexity analysis to assess the feasibility of our proposal. Extensive numerical trials demonstrate the utility of sinusoidal codes for mMTC.
Hasan SM, Mahata K, Hyder MM, 'Joint uplink SCMA codebook design for correlated fading channels', Physical Communication, 39 (2020) [C1]
Conference (3 outputs)
Hasan SM, Mahata K, Hyder MM, 'Sparse Code Multiple Access Codebook Design using Equiangular Tight Frames', 2020 IEEE International Conference on Communications. Proceedings, Dublin, Ireland (2020) [E1]
Hasan SM, Hayat MA, Hossain MF, 'On the downlink SINR and outage probability of stochastic geometry based LTE cellular networks with multi-class services', 2015 18th International Conference on Computer and Information Technology (ICCIT) (2015)
Hasan SM, Monjil MB, Mohsin F, Hayat MA, Rashid ABMH-U, 'Adaptive beamforming with a Microphone Array', 2015 18th International Conference on Computer and Information Technology (ICCIT) (2015)
Parameter Estimation in BiStatic Frequency Diverse Array (FDA) Radar 2017 - 2018
Robust and Scalable Codebook Design for Sparse Code Multiple Access 2018 - 2019
Fast Multiuser Detection in Uplink Grant-Free NOMA Systems for Static/Dynamic Random Access 2019 - 2020
Massive Overloading and Beyond by Hierarchical Sequence Detection for Machine Type Communication 2020 - 2021