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Error rate analysis of AF-relay wireless networks under different SNR levels
Institution:1. School of information and technology, Hebei University of Economics and Business, China;2. School of Computer Science, University of Adelaide, Australia;3. School of Computer and Information Technology, Beijing Jiaotong University, China;1. School of Computing and Communications, University of Technology Sydney, Broadway NSW 2007, Australia;2. ICTR Institute, Faculty of Informatics, University of Wollongong, Australia;1. School of Communications Engineering, Hangzhou Dianzi University, Hangzhou, China;2. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia
Abstract:This paper presents a new method for analyzing the Bit Error Rate (BER) performance of two-hop Amplify-and-Forward Multiple Relay (AF-MR) networks. This paper considers, a flat-fading channel and a relay selection scheme to select a relay with the highest Signal-to-Noise Ratio (SNR). The method aims to unify the BER calculation under low, high and optimal SNR levels. Asymptotic BER (ABER) performance at high SNR value is calculated first, and standard expressions for exact BER (EBER) performance at low and optimal SNRs are then derived. The analytic method depends on the conventional BER (CBER) approach of one-hop communication systems. The optimal SNR is obtained by balancing energy efficiency and spectral efficiency. The proposed method is found to be effective for calculating the BER of AF-MR network performance under any SNR conditions. Moreover, it improves the accuracy of ABER performance by reducing disparity computation errors between ABER and EBER performances and this allows the BER of AF-MR networks to be accurately calculated using either ABER or EBER. The outcome expressions for the method are validated by simulation results.
Keywords:Amplify-and-forward  Asymptotic bit error rate  Exact bit error rate  Signal-to-noise ratio
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