MITIGATING THE EFFECTS OF IMPERFECT SUCCESSIVE INTERFERENCE CANCELLATION (SIC) ON NON-ORTHOGONAL MULTIPLE ACCESS (NOMA) SYSTEMS

Abstract

The study delves into the impact of imperfect Successive Interference Cancellation (SIC) on Non-Orthogonal Multiple Access (NOMA) system performance in wireless communication. The study focused on evaluating the effects of imperfect SIC on metrics like achievable rate and bit error rate and seeks to mitigate these effects using a TDMA-NOMA approach. This approach combines NOMA and orthogonal methods and investigates user pairing based on distance in a TDMA-integrated context. The findings reveal that Single Carrier (SC) NOMA performs poorly compared to TDMA due to interference from loading users onto a single carrier. However, pairing near and far users significantly improves the sum rate, emphasizing the benefits of distinct channel conditions. Furthermore, the Near-Near and Far-Far pairings in NOMA outperform TDMA, indicating the significance of user pairing for system efficiency. For enhancing imperfect SIC management, the study suggests exploring machine learning algorithms for adaptive decision-making. The study introduced a TDMA-NOMA pairing technique and evaluated its performance in various fading channels, and underscores the importance of intelligent user pairing for optimizing wireless communication efficiency. The findings reveal that the Near - Far pairing performs 10.01% better than Near - Near, Far - Far pairing across all the SNR levels and all Transmit Power levels, , , and  underperforms  by 0.7743% in achievable data rate.