Users' grouping algorithm for fairness improvement of NOMA‐based multi‐beams satellite networks intended for 5G

Non-Orthogonal Multiple-Access (NOMA)-based Multibeam Satellite Networks (MBSNs) are intended for 5G implementation, and networks set the requirement both high system capacity as well reliability to all users, which is achieved via system's fairness. The NOMA network requires a user grouping algorithm (UGA), most existing UGAs 2-users NOMA-MBSNs, favor maximization with little regard Thus, this paper proposes UGA that maximizes fairness of NOMA-MBSNs. seeks group 2M users into M-pairs satisfying three requirements, (i) minimum channel-gain margin; (ii) channel-correlation coefficients; (iii) there amongst resulting pairs, in term their respective coefficients, increase users' system. To achieve this, split two sets M-far M-near based on channel gains pairing far near coefficients. It will turn it Bipartite Matching problem (BPMP) BPMP addressed by means Hungarian Method (HM) ensure pairs regarding proposed demonstrates superior compared UGAs.