Performance Evaluation for Down link Nonorthogonal Multiple Access in 5G Network

Abstract

Non-orthogonalmultipleaccess(NOMA)asoneoftheupcomingandpromisingmultipleaccess technologies has a significant impact on the development of the 5G wireless communication systems, which states in. Non-orthogonal multiple access (NOMA) is a promising technique for the fifth generation (5G) mobile communication due to its capability of achieving high spectral efficiency and high data rate, SE, EE, fairness, and throughput varies as user location varies in a silgle cell BS. NOMA has been much studied in the literature from an informationtheoretic perspective in terms of data rate capacity. A systematic approach to analyze the differences between NOMA and OMA is provided as well. Non-orthogonal multiple access can support more connections than other systems and improve allocation of system capacity, SE, EE, throughput and fairness. Basically, NOMA schemes consist of two parts: power-domain multiplexing and codedomain multiplexing. The basic idea of NOMA for multiple access is to introduce different power allocation and channel assignment, which the previous generation of mobile networks have been relying only on the same time/frequency/code domain. Totally, Optimum NOMA system capacity and efficiency acheived. Down link power domain adaptive non-orthogonal multiple access (NOMA) enables power-domain multiplexing using successive interference cancellation (SIC) algorithm to cancel the interference of another user and noise propagating through channel. All of the above were used Okumura Hata model to model or estimate the channel between base station and random location in single cell down link power domain adaptive NOMA. The system will optimize channel assignment by assuming power allocation constant and vice versa. NOMA were optimized through data rate, SE, EE, throughput, and fairness efficient network. Then, energy of NOMA were 27.6 percent saved and the SE of NOMA were 92.88 percentspectralefficientand48.9percentoptimumdatarateachievedinNOMAthanOMAthan previous network generation all using different parameter in MAT LAB simulation. Therefore, the better performance power domain down link adaptive NOMA 5G network achieved in final result. The future work is included at the end of this thesis.