2020/01/06 by Ravi Shankar, Shankar, Ravi, Lokesh Bhardwaj +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Wireless Communication Security Techniques #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2001.01406
openalex publication_date 2020/01/06 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In this work, we examine the performance of selective-decode and forward\n(S-DF) relay systems over kappa-mu fading channel condition. We discuss about\nthe probability density function (PDF), system model, and cumulative\ndistribution function (CDF) of kappa-mu distributed envelope and signal to\nnoise ratio (SNR) and the techniques to generate samples that follow kappa-mu\ndistribution. Specifically, we consider the case where the source-to-relay\n(SR), relay-to-destination (RD) and source-to-destination (SD) link is subject\nto the independent and identically distributed (i.i.d.) kappa-mu fading. From\nthe simulation results, the enhancement in the symbol error rate (SER) with a\nstronger line of sight (LOS) component is observed. This shows that S-DF\nrelaying systems can perform well even in the non-fading or LOS conditions.\nMonte Carlo simulations are conducted for various values of fading parameters\nand the outcomes closely match with theoretical outcomes which validate the\nderivations.\n