… -generation (6G) networks. This study aims … NOMA-assisted MEC network by jointly optimizing
the computation offloading policy and channel resource allocation under dynamic network …

… learning (DRL) in the decision making for grant-free NOMA systems, to mitigate collisions and
improve the system throughput in an unknown network envi… In this section, we evaluate the …

… of one IoT node in a cellular network by employing the NOMA protocol. To characterize the
… and power transfer NOMA systems under time switching mechanism based on the IoT relay. …

… In this section, simulations have been executed to evaluate the performance of the PAUS
algorithm and the DNN-based power allocation scheme with IPM applied, by comparing their …

… In this paper, we survey the integration of PD-NOMA with the … the various requirements of
B5G networks. In particular, this paper … evaluations that show the potential of adopting NOMA …

… investigated the grant-free NOMA network for obtaining both … However, the reliability of the
grant-free NOMA network is not … SIC NOMA with the proposed D/L OFDM-NOMA detector. …

… , we design a reliable framework to learn NOMA-URLLC uplink communication environments
in terms of the long-term performance. With a reliable (n)-step learning framework, we first …

… In this paper, a NOMA based mmWave heterogeneous wireless networks with an intelligent
control center (Fig. 1) is … 8, we evaluate the EE of system achieved by different schemes. …

… As the signals of multiple users are superimposed in GF-NOMA systems, each user is …
maximization in GF-NOMA systems. We then design a deep reinforcement learning (DRL)- based …

… To achieve the further analysis of our proposed BLER-NOMA-AQL method, we evaluate this
convergence via the parameter total Q-value of all learning MTC devices, as depicted in Fig. …