… cognitive NOMA-based IoT-relay (C-NOMA-IoT) network to … To tackle this challenge, we
design a deep learning framework … wireless-powered C-NOMA-IoT network, where cellular SNs …

… Motivated by the promising combination of CR, NOMA and … , and EC of RIS-aided cognitive
NOMA networks as well as to … evaluation of downlink cognitive RIS-assisted NOMA systems …

… , and review the state-of-the-art research efforts made in the domain of CRNs with NOMA.
Second, … techniques into CRNs, this article first provides a review of the state-of-theart research …

… -based hybrid spectrum access scheme for 6G-enabled cognitive IoT, and … network (DNN)
framework is designed for novel wireless powered cognitive NOMA-based IoT relay networks …

… of an overlay cognitive radio (OCR) coupled with non-orthogonal multiple access (NOMA) …
We further evaluate the system throughput and ergodic sum-rate (ESR) to assess the system…

… with one pair primary user and one pair cognitive user share … downlink NOMA transmission
in cognitive relay networks, … scheme of cognitive relay NOMA networks are derived. Both …

… In addition, the works of [29]–[33] only evaluated the performance of the NOMA systems …
may profess limitations on the ability of SPCs in NOMA networks. On the other hand, the works of …

… We evaluate the performance of the proposed DL approaches in terms of the RMSE and
run-time prediction. The RMSE is considered to determine the difference between the forecast …

… approach through deep learning (DL) … cognitive NOMA scheme, wherein the primary network
consists of a source node S, a near-user D1 and a faruser D2, while the secondary network …

… Deep Learning (DL) schemes for signal detection and Power Allocation (PA) in NOMA-based
futuristic Cognitive Radio Networks (… evaluated for its dominance over existing approaches. …