Enhancing 5G UDN Performance with Adaptive Successive Interference Cancellation Technique for Optimizing Success Probability and Ergodic Capacity

Ultra-Dense Networks (UDNs), which offer previously unheard-of connectivity and capacity, have emerged in Beyond 5G (B5G) systems as a result of the rapid evolution of wireless communication technology. On the other hand, substantial interference is introduced by the dense base station deployment in UDNs, creating severe performance problems. The Successive Interference Cancellation (SIC) method has drawn interest as a potential solution to improve system performance to overcome this problem. The possibility for SIC implementation in 5G UDNs is examined in this study. The main contributions of this work are as follows: First, to validate the theoretical analysis of Successive Interference Cancellation (SIC) in a multi-tier 5G Ultra-Dense Network (UDN), an enhanced SIC technique is developed. This method employs a stochastic geometry model that accurately simulates real-world conditions by accounting for the random distribution of users and base stations within the UDN. As a result, it improves the precision of calculations for Success Probability and Ergodic Capacity. Second, numerical simulations are run to show how the suggested SIC strategy outperforms conventional approaches in terms of effectiveness. The theoretical conclusions are validated by comparing the simulation results with Zero Forcing (ZF) and No-SIC to assess the concept's validity and application. The knowledge and use of SIC in UDNs are being furthered by this research, opening the door to enhanced network capacity and performance in next wireless communication systems.