Optimizing Multi-Cell NOMA System Performance with Power Allocation and SIC Analysis

Abstract

A wireless communication multiplexing technology called Non-Orthogonal Multiple Access (NOMA) is consciously used to increase system capacity and spectrum efficiency. With this novel method, several users can effectively share the same frequency band at the same time, with allocations made based on each user's unique channel strengths. This strategy uses tried-and-true techniques like sequential interference cancellation (SIC) and superposition coding (SC). By combining these methods, resource efficiency is improved and user data rates are raised. Therefore, NOMA is a viable option for facilitating multi-user access in upcoming wireless network iterations. To fully realize the promise of NOMA, however, a number of crucial issues must be resolved. These issues include controlling inter-user interference, allocating power optimally, estimating channels accurately, scheduling users efficiently, and handling system complexity. Thus, a framework for the user sum rate maximization problem based on joint SIC ordering power allocation (JSPA) has been established in this study. Several minimal user rate demand values were taken into account when analyzing the outage likelihood across various user settings to evaluate the system's performance. Additionally, the NOMA system's performance was assessed in a range of scenarios, including JRPA, FRPA, and JSPA. This assessment was conducted using various settings and user rate requirements. The results of the simulation indicate that, in comparison to JSPA, FRPA causes a notable increase in downtime as the number of multiplexed users increases.