Dr Basit Shahab

This letter studies the joint channel estimation and signal detection for the uplink power-domain non-orthogonal multiple access. The proposed technique performs both detection and estimation without the need of pilot symbols by using a clustering technique. We apply rotational-invariant coding to assist signal detection at the receiver without sending pilot symbols. We utilize Gaussian mixture model (GMM) to automatically cluster the received signals without supervision and optimize decision boundaries to improve the bit error rate (BER) performance. Simulation results show that the proposed scheme without using any pilot symbol achieves almost the same BER performance as that for the conventional maximum likelihood receiver with full channel state information.

Due to the increasing number of unmanned aerial vehicles (UAVs) with generally limited battery power, energy-efficient data transmission schemes with massive connectivity capabilities are required for future wireless networks. Nonorthogonal multiple access (NOMA) is a promising technique that provides such massive connectivity by allowing superposed data transmission of multiple users over the same resource block. This article presents a user pairing and power allocation technique for energy efficiency and Quality-of-Service (QoS)-based NOMA transmission for cellular-connected mobile UAVs and ground users (GUs) in a NOMA UAV network. The aim is to minimize the energy consumption of both aerial users (AUs) and GUs during uplink data transmission and guarantee their required transmission rates through efficient pairing and power optimization. Therefore, a joint pairing and power optimization problem is formulated as a nonconvex optimization problem under QoS constraints. Furthermore, a suboptimal solution is proposed to show that the proposed energy-efficient pairing technique effectively fulfills the QoS requirements of both GUs and AUs in a network with low complexity. The simulation results of the proposed technique show the performance gain in terms of energy efficiency, outage probability, and pairing complexity compared to the conventional channel condition and power-consumption-based NOMA pairing and power allocation techniques.

Uplink power domain non-orthogonal multiple access (PD-NOMA) allows multiple users to simultaneously transmit their data over the same resource block by using different power levels, which are exploited by the base station (BS) for multi-user detection (MUD). Conventional PD-NOMA receivers can perform MUD when the data streams from all the multiplexed users are continuous, and the received signal is always a superposition of symbols from each user. However, the data received from each user may not always be continuous due to sporadic activity, and may contain missed packets or moments of silence. In such scenarios, the BS needs to precisely identify the users whose data packets are received at a particular time to successfully recover their messages. In this context, this letter proposes multiple detectors to efficiently detect user activity and perform MUD in such situations. It is shown through simulations that the proposed detectors significantly outperform conventional PD-NOMA receivers in terms of the bit error rate.