Enhancing Sum Rate Performance in Multi-User NOMA Systems: Mitigating Channel Estimation Errors through Advanced Signal Processing

This work focuses on optimizing the total data transmission rate in a multi-user non-orthogonal multiple access (NOMA) system, specifically when there are inaccuracies in estimating the communication channel. NOMA is a technology that shows potential to improve the efficiency of wireless communication by allowing several users to access the same time-frequency resources. Nevertheless, the efficacy of NOMA systems can be significantly compromised by inaccuracies in channel estimation. This study investigates the influence of these mistakes on the total data transmission rate of a multi-user Non-Orthogonal Multiple Access (NOMA) system. It presents an innovative method to alleviate this problem. Our approach utilizes sophisticated signal processing techniques to optimize the distribution of power and the sequence in which users decode information. The goal is to maximize the total rate of the system, even when the channel status information is not perfect. We assess the performance of the suggested methodology and compare it to existing methods using thorough simulations. The results clearly indicate that our solution effectively reduces the adverse effects of channel estimate errors and improves the overall sum rate performance in multi-user NOMA systems. This study makes a valuable contribution to improving the effectiveness and dependability of communication methods for upcoming wireless networks.