Improvement in BER Performance of Power Domain NOMA with Genetic Algorithm

Non-Orthogonal Multiple Access provides many benefits, such as higher spectral efficiency and extensive connectivity over the orthogonal multiple access technique. Because of the various advantages of NOMA, fifth-generation wireless communication systems have adapted the power domain and code domain NOMA to provide sparking performance. This paper presents a simulation of three user power domains, NOMA. The BER performance for a near and far user depends on the power assignment to the particular user. Power distribution to users is an optimization problem with a given power budget. This optimization problem has been solved with a genetic algorithm, and power has been assigned to each user for minimizing the total BER and maximizing throughput. The simulations were carried out in MATLAB 2021a, and the optimization results showed an improved BER performance and throughput for this configuration.