The ever-increasing demand for 5G networks necessitates innovative solutions to optimize network efficiency. In this study process, we approached conventional Random User Selection (RUS) and Maximum Channel Gain (MCG) based on which we developed a new method called Distance User Selection (DUS). In DUS, the users are selected based on the distance where the nearest user is chosen first and assigned to the available antennas at the base station. This method prioritizes users closer to the serving base station for association, exploiting stronger signal strength and reducing path loss. Additionally, it employs optimized antenna selection algorithms to improve the signal quality and resource allocation further. We evaluated the proposed method through simulations and compared its performance with conventional approaches regarding throughput, sumrate, and energy efficiency. Our results demonstrate significant improvements in network efficiency, highlighting the potential of DUS and antenna selection to enhance 5G network performance and user experience.
Borah et al. (2024) studied this question.