Channel Aware Power Allocation and Diversity Gain Selection for Mimo Noma System

In recent communications, multiple-input-multiple-output (MIMO), orthogonal frequency division multiplexing (OFDM) and Non-Orthogonal Multiple Access (NOMA), and are major sub-system techniques of 5G wireless communications for optimization of latency, Bit Error Rate (BER) and improvement of throughput. In this paper, the proposed design, manages the resource allocations among the techniques to meet the requirements using NOMA and MIMO. The interactive waterfilling based PA in MIMO and NOMA to improve Quality of Service (QoS) and investigated NOMA cell free massive MIMO system by considering effect of linear and individual channel estimations. The proposed system also optimizes user pairing approach for group users that optimize downlink rate per user so that PA can be acceptable at cost of involvedness. Lastly, the proposed system demonstrates experimental results to different noisy channel to minimize the BER and latency that does not degraded in performance compared to the existing PA. The design is validated under single user, 2, 4, 8 users under different noisy channels. The proposed system also validated for up-link transmission under same channels by interactive waterfilling based PA in MIMO and NOMA. Based on obtained simulation results, BER is optimized by 8%, SNR, throughput and PAPR are optimally obtained by 5.5%, 7% and 6% respectively.