Power Allocation Optimization in NOMA System for User Fairness in 5G Networks

Abstract

Non-orthogonal multiple access (NOMA) has been presented as an alternative technology due to its ability to accommodate immense connectivity and enhances spectral efficiency in 5G and future wireless networks. NOMA, in contrast to orthogonal systems, allows numerous users to share the same radio resource at the same time, breaking the orthogonality of traditional multiple access. However, power allocation is a critical challenge in designing an effective NOMA system. In this work, the authors investigated fair power allocation and considered it pertinent to improve the scheme further. To ensure user fairness, we proposed an improved fair power algorithm that can be modified dynamically based on target rate requirements and channel state information. The simulation results show that the proposed improved fair power allocation performs better than other traditional schemes.