文章基本信息

标题：Log Likelihood Ratio Based Relay Selection Scheme for Amplify and Forward Relaying with Three State Markov Channel
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作者：Manish Sahajwani ; Alok Jain ; Radheyshyam Gamad 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2018
卷号：10
期号：9
页码：87-98
DOI：10.3390/fi10090087
出版社：MDPI Publishing
摘要：This paper presents log likelihood ratio (LLR) based relay selection scheme for a cooperative amplify and forward relaying system. To evaluate the performance of the aforementioned system model, a three state Markov chain based fading environment has been presented to toggle among Rayleigh, Rician, and Nakagami-m fading environment. A simulation is carried out while assuming that there is no possibility of direct transmission from the source and destination terminal. Simulation results on the basis of Bit Error Rate (BER), Instantaneous Channel Capacity, and Outage probability have been presented and compared for different cases. In each case, the best performance of the proposed algorithm is obtained with a Binary Phase Shift Keying (BPSK) modulation scheme.
关键词：cooperative communication; optimal relay selection; finite state markov channel; multiple input multiple output (mimo); cooperative diversity; log-likelihood ratio cooperative communication ; optimal relay selection ; finite state markov channel ; multiple input multiple output (mimo) ; cooperative diversity ; log-likelihood ratio