The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity
and latency requirements. In order to resolve these challenges in 5G, non-orthogonal …

This paper addresses multi-user multi-cluster massive multiple-input-multiple-output (MIMO)
systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode, and …

Federated learning (FL) is an emerging machine learning technique that aggregates model
attributes from a large number of distributed devices. Compared with the traditional …

In this paper, we propose a novel joint radio resource allocation and successive interference
cancellation (SIC) ordering algorithm for the downlink scenario of a power-domain sparse …

In this work, user pairing and power allocation are proposed as a hybrid scheme to
maximise throughput and achieve system fairness in the non-orthogonal multiple access …

In this paper, we tackle the problem of optimizing user clustering, power, and resource (time
slot or bandwidth) allocation in the downlink of a hybrid non-orthogonal multiple access …

Non-orthogonal multiple access (NOMA) provides a significant impact on meeting high
capacity achievements of the fifth generation (5G) wireless cellular systems. In NOMA, an …

Due to the non-uniform distribution of users in a cellular area, there are users with similar
channel conditions. In non-orthogonal multiple access (NOMA) systems, a small difference …

In downlink non-orthogonal multiple access (NOMA) with multiuser clustering, a single
beamforming (BF) vector precodes the superimposed signal of strong and weak users. This …

In this work, we present a resource allocation scheme for managing trade-offs between total
throughput maximisation and system fairness in a non-orthogonal multiple access (NOMA) …