Success Probability and Spectral Efficiency Estimation Using Successive Interference Cancellation for B5G Network

This research paper investigates the examination of Successive Interference Cancellation (SIC) implementation within ultra-dense 5G networks. The study focuses on the theoretical foundations of SIC, encompassing its system and channel models modified for Ultra-Dense Networks (UDNs). A mathematical model is formulated to assess critical network performance metrics such as Signal-to-Interference-plus-Noise Ratio (SINR), Success Probability and Spectral Efficiency after the application of SIC in the network. The effectiveness of SIC is evaluated through simulations and compared against existing interference mitigation techniques like Zero Forcing. The simulations results show that the proposed model has potential to subdue the interference-related issues, such as improved success and probability. By knowing the capabilities and limitations of SIC, network operators can make informed decisions to optimize network performance and provide enhanced user experiences. Through an exploration of SIC's principles and advantages, this study aims to shed light on its potential for effectively mitigating interference and improving the Success Probability and Spectral Efficiency of B5G networks in real-world scenarios.