Hybrid ABC-JAYA Algorithm for Optimizing Resource Allocation in NOMA-Based Downlink Systems

Abstract

Achieving significant spectral efficiency and enabling massive connectivity are paramount for wireless communication systems in the fifth generation (5G) and beyond. Non-Orthogonal Multiple Access is currently an efficient multiple access method to achieve these objectives. NOMA provides a number of advantages, including enhanced sum rates, improved user fairness, and increased spectral efficiency. This is mainly due to allowing several users to share common resources simultaneously, as a result, the conventional orthogonal multiple access method’s orthogonality is disrupted. Instead, resource allocation remains the main issue in NOMA due to considering the coupling between power allocation and user pairing. In this article, we propose a methodical approach that involves refining the user pairing strategy and power allocation while adhering to constraints on power allocation and enhancing spectral efficiency. Specifically, our approach utilizes the most considerable user distance for the user grouping strategy. For power allocation, we propose a hybrid algorithm that combines the JAYA and Artificial Bee Colony (ABC) algorithms. Results of simulation indicate that our suggested approach outperforms conventional approaches, such as fractional and fixed power allocation, by enhancing spectral efficiency by at least 50bits/s/Hz and improving the bit-error rate performance. Furthermore, the research explores the impact of different modulation schemes on the proposed strategy.