فهرست نشریات علمی دسترسی آزاد ایران

The Nonorthogonal Multiple Access (NOMA) technique is one of the key enablers of next-generation cellular communications, facilitating the sharing of the same resources among users. The effectiveness of NOMA relies heavily on implementing a robust power allocation strategy that considers diverse influential factors. To address this challenge, we propose an innovative multi-objective power allocation scheme for downlink NOMA systems using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. This approach simultaneously optimizes users' sum data rates and average bit error rates (BERs). The performance of the proposed method is analyzed in comparison to two benchmark approaches of Fixed Power Allocation (FSPA) and Greedy Algorithm-based Power Allocation (GAPA). The results confirm that, although our method offers comparable performance to these approaches regarding energy efficiency and sum data rate, it provides remarkable BER gain compared to these benchmarks.