… meeting the criteria for QoS on all links utilized by both DDPs and NOMA-based CUs. Here,
to evaluate network fairness, we estimate the FUF and fair scheduling (FS) for both CUs and …

… deep learning in enhancing NOMA performance. Specifically, we first present the deep neural
network … Performance evaluations of deep-learning-enhanced NOMA schemes with typical …

… In this study, a cooperative cellular scenario deploying NOMA is considered with respect to
performance evaluation for downlink as in Figure 1. Two transmission modes are introduced…

… We also demonstrate the advantage of the NOMA assisted … a DNN to learn the optimal
NOMA-transmission duration t … Our objective is to train the DNN to learn the optimal NOMA-…

… First, we evaluate the performance of the proposed LSTMs based task prediction algorithm.
We first generate the tasks’ popularity through a random walk model. Firstly, we produce the …

… Furthermore, the fairness between users is also an important evaluation metric for the NOMA
systems [24]. To ensure the fairness among users with diverse activation probabilities, the …

… We also evaluate the consumed energy for all the three algorithms. Figure 5 is the trends
of the normalized energy consumption with different arrival rates of the vehicle flow. When the …

… (NOMA), this article studies the resource allocation problem of a NOMA-MEC system in an
ultra-dense network (… are presented to evaluate the performance of the proposed algorithm for …

… (iii) To evaluate the proposed system, we provide comparable simulations to SIC. The CNN
method has a better error performance and lower computation complexity. The structure of …

… network metrics, ie aggregate throughput, network … learning (RL) approach can result helpful
in improving the performance this P-NOMA system, especially when a neural network (NN) …