A Two-Stage Relay Selection and Power Allocation Algorithm for NOMA-Based Multicast Cognitive Radio Networks

In this paper, the problem of joint relay selection and power allocation (J-RS-PA) for NOMA-based multicast cognitive radio networks is considered. In particular, the aim is to simultaneously maximize the SINR/SNR of the primary and secondary transmitter-receiver (TR) pairs, subject to quality-of-service (QoS) constraints. Communication between the primary and secondary TR pairs is performed over two-phases, namely, the broadcasting phase, and the cooperation phase. In the broadcasting phase, the primary and secondary transmitters broadcast their data symbols to the intermediate relays; while in the cooperation phase, the selected relay forwards the decoded symbols to their intended receivers. However, the J-RS-PA problem happens to be non-convex (i.e. computationally-prohibitive). Alternatively, an optimal low-complexity two-stage relay selection and power allocation (TS-RS-PA) algorithm is devised, which is based on the solution of intelligent linear programming problem formulations. Simulation results are presented to validate the proposed TS-RS-PA algorithm, which has been shown to yield the optimal SINRlSNR values for the primary and secondary TR pairs in comparison to the J-RS-PA scheme, but with lower computational complexity, while satisfying QoS constraints.