Evaluating BER and Throughput in 5G Networks Using Adaptive Modulation and Nakagami Fading

Abstract

The rapid advancements in 5G wireless communication have necessitated the development of robust and adaptive technologies to ensure reliable, secure, and high-quality data transmission. Adaptive Modulation and Coding (AMC) is a vital technology in 5G systems, allowing the modulation and coding schemes to dynamically adjust based on channel conditions. This paper focuses on the performance analysis of AMC under Nakagami fading channels, a widely recognized model for real-world wireless environments characterized by multipath propagation. By varying critical parameters such as the shape parameter m and scale parameter Ω, and leveraging diverse modulation and coding schemes, the bit error rate (BER) and throughput performance are evaluated. Simulation results reveal the optimal conditions for minimizing BER and maximizing throughput, demonstrating the resilience of QPSK modulation at m = 0.5 and Ω = 0.5. Additionally, potential security vulnerabilities inherent to adaptive wireless systems are acknowledged, emphasizing the need for integrating secure transmission mechanisms alongside performance optimization. The findings provide valuable insights for enhancing 5G network reliability, especially in urban and suburban settings.