The dynamic power allocation to maximize the achievable sum rate for massive MIMO?NOMA systems

The demand of mobile networks and quality service have recently increased to higher Spectral Efficiency (SE) or Energy (EE) massive connectivity for 5G wireless communications. concept beamforming Multiple-Input Multiple-Output (MIMO) is capable significantly reducing the amount required Radio Frequency Chains (RFCs) used by MIMO systems without remarkable performance loss. However, in existing beamformed MIMO, supported devices cannot be than RFCs using same time-frequency resources, it basic limit these systems. To address this issue, non-orthogonal multiple access (NOMA) has been recommended, which can accommodate covered via resource allocation. Nevertheless, power allocation a core factor NOMA scheme. maximizing sum rate problem based on Massive MIMO-NOMA scenarios non-convex non-linear, creates very challenging situation acquire closed-form approach. Thus, paper, an approach difficulty outlined maximize as convex linear problem. Simulation results suggested Beamformed (BMN) algorithm show that achievable achieved compared with usual MIMO.