Complexity Based Performance Analysis of WSSR Assisted SIC Detection For 5G and Beyond Power Domain NOMA Wireless System

Abstract

Successive interference cancellation (SIC) is fundamentally the important detection technique of power-domain non-orthogonal multiple access (pNOMA) in 5G and currently under intense research in beyond 5G (B5G) networks. However, it faces challenges in terms of error propagation, computational efficiency and scalability. Resonance based aiding algorithm techniques such as Woods–Saxon Stochastic Resonance (WSSR) and Classical Stochastic Resonance (CSR) based were proposed to aid the SIC to improve weak signal detection. This paper presents a comparative study using time and space complexity analysis of WSSR-assisted SIC (WSSR-SIC) and CSR-based SIC (CSR-SIC) as base line using Big O. We evaluate both the time and space complexities under realistic channel conditions. Simulation results demonstrate that CSR-SIC produces better latency of 0.35ms, good for uRLLC requirement. Equally, WSSR-SIC achieves superior weak signal detection presents better link reliability for rescuing weaker users (where system reliability trumps minimal latency; 0.85 ms, still < 1 ms 5G latency requirement). The findings highlight WSSR-SIC as a promising detection scheme for mMTC and eMBB to support next-generation NOMA systems for massive connectivity requirements of internet-of-thing (IoT) and internet-of-everything (IoET).