… Also, it is clear that cooperative NOMA in cognitive … propose a novel cognitive NOMA-based
IoT-relay (C-NOMA-IoT) … To tackle this challenge, we design a deep learning framework for …

… We consider an underlay cognitive RIS-assisted NOMA communication scenario which is
under operation over the same spectrum of a primary network (PN). To this end, it is …

… for the outage probability (OP) of NOMA users and for the overall system … a deep learning
(DL) framework for the OP and system throughput prediction. Our results show that the deep …

… the block error rate (BLER) of the NOMA users, goodput, energy efficiency, latency… NOMA
users by optimizing power allocation coefficients. In addition, a novel multi-output deeplearning …

… These shortcomings are mitigated by the proposed Deep Learning (DL) schemes for signal
detection and Power Allocation (PA) in NOMA-based futuristic Cognitive Radio Networks (…

… In this section, we provide the simulation results, in order to investigate our deep learning-based
RA schemes for the heterogeneous IoTUs and MUs in the NOMA system. Practically, …

… Although the work in [10] studies an overlay CR NOMAbased … data-driven approach through
deep learning (DL) to estimate … system with an overlay cognitive NOMA scheme, wherein the …

… of an overlay cognitive radio (OCR) coupled with non-orthogonal multiple access (NOMA) …
Our findings manifest that the FD-based OCR-NOMA can comply with the non-ideal system …

… networks, and finally pointed out some challenges in CR-NOMA … The convergence of EH,
NOMA, and CR, known as EH-CR-NOMA… All results are obtained based on the deep learning …

… The possible applications namely hybrid NOMA, cognitive NOMA, cooperative NOMA, and
MIMO NOMA for improved 5G communications and open issues in their deployment were …