In this paper, we investigate an underlay cognitive non-orthogonal multiple access (NOMA)-based
coordinated direct and relay transmission network with imperfect successive …

… the NOMA users by optimizing power allocation coefficients. In addition, a novel multi-output
deeplearning (DL) framework is designed to … Furthermore, our designed multioutput DL also …

… 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 …

… Moreover, the key challenges are outlined to provide guidelines for the domain
researchers and designers to realize CRNs with NOMA. Finally, open issues are discussed. …

… To tackle this problem, we design a general DLF as a new alternative DLFs towards real-time
configurations for practical performance evaluation, especially in EC and ESC predictions, …

… Section III outlines the architecture of NOMA, CR, and CR-based NOMA networks and their
operating environments. In Section IV, we point out the main design challenges related to the …

… In addition, in order to prolong the battery life and improve the learning efficiency of the
DRL-based algorithm, we design an action adjuster, the principle of which is shown in Algorithm 1…

… Therefore, designing effective UP and RA schemes are significantly important to optimize …
it on the perspective of the cognitive radio network (CRN) [22]. Previously, CRNOMA was only …

… analysis of cognitive-inspired wireless-powered non-orthogonal multiple access (NOMA)
systems… For the second scheme, SS’ operation is considered with two relaying-encoding NOMA …

… -NOMA system design for maintaining beam alignment and enhancing system fairness. [23]
Grant free-NOMA exploits … [24] Deep multi task learning of NOMA design and examined. [25] …