… for the sixthgeneration (6G) networks. This article focuses on applying NOMA in 6G networks,
with an … Starting with the basic NOMA principle, the importance of successive interference …

… works investigates fairness in massive MIMO-NOMA networks, and none of them have
considered … the performance of a massive MIMO-NOMA network under the impact of residual error …

… the network performance of an integrated UAV-NOMA and D2D cooperative network. The
… This section presents the evaluation results obtained from the ANNs methods for the testing …

… Moreover, by applying the zero-forcing beamforming method, the performance of the
multiple-input single-output (MISO)-NOMA systems was evaluated, where two greedy user …

… In the NOMA uplink, detection based on successive … However, there exists a tradeoff between
the NOMA cluster size … a novel online learning detection method for the NOMA uplink. We …

… In this subsection, we evaluate the performance of our learning-based approach when
compared to Algorithm 2, where L = 2. Each hidden layer contains 32 neurons and D contains 10 …

… Our simulation evaluated the performance of the proposed approach from multiple … and
learning rate through the numerical results. These results proved the superiority of the NOMA …

In this paper, we consider downlink power-domain non-orthogonal multiple access (NOMA)
in heterogeneous networks (HetNets) and propose resource allocation algorithms for …

… Research on V2V NOMA networks has identified both … traffic patterns, leading to optimized
NOMA utilization [10]. Additionally, … Performance evaluation of several MIMO-NOMA methods …

… In this subsection, we derive new channel statistics for the proposed RIS-aided NOMA
network, which will be used for evaluating the OPs and ergodic rates in the following subsections. …