… 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 …

… 1) We investigate a time-power EH mechanism in cooperative NOMA networks, where
TS is deployed at an information source and power splitting (PS) is used at relay nodes to …

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

… The performance of the FD-NOMA relay sharing method was evaluated considering outage
capacity, ergodic capacity, and outage probability. Simulation outputs demonstrated the FD-…

… 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 …

… ACO-Based Scheme in Edge Learning NOMA Networks the advantage from using NOMA,
we evaluate its performance against the maximum ratio combining (MRC) technique in terms …

… In CFmMIMO-NOMA systems, the effect of network … Most existing works on CFmMIMO-NOMA
systems [15]–[17] … optimization problems for both CFmMIMO-NOMA and COmMIMO-NOMA …

… We propose the use of Q-Learning and NOMA, alongside with a power control scheme, to …
work are: i) evaluation of the beneficial impact in RA of combining Q-Learning with NOMA; ii) a …

… Additionally, We utilize MSE loss function (12) to evaluate the accuracy of the training for
the target network. Therefore, the proposed loss function is based on θ and θ to check the …

… of the prominence of NOMA and DL and surveys several DL-enabled NOMA systems. This
… indicators of NOMA systems. In addition, we outline the integration of DL-based NOMA with …