Volume 12, Number 2, December 2016 - DOI: http://dx.doi.org/10.21700/ijcis.2016.274


Computing and Information Sciences is a peer reviewed journal that is committed to timely publication of original research, surveying and tutorial contributions on the analysis and development of computing and information science. The journal is designed mainly to serve researchers and developers, dealing with information and computing. Papers that can provide both theoretical analysis, along with carefully designed computational experiments, are particularly welcome. The journal is published 2-3 times per year with distribution to librarians, universities, research centers, researchers in computing, mathematics, and information science. The journal maintains strict refereeing procedures through its editorial policies in order to publish papers of only the highest quality. The refereeing is done by anonymous Reviewers. Often, reviews take four months to six months to obtain, occasionally longer, and it takes an additional several months for the publication process.

DOI: http://dx.doi.org/10.21700/ijcis.2016.125

Performance Analysis of Differential BLM Detector in AF Relay Networks with Time Varying Channels

Omar Gatera*,1 email: omargatera@itu.edu.tr
Haci Ilhan2
Ahmet H. Kayran3

1,3Department of Electronics and Communication Engineering, Istanbul Technical University

2Yildiz Technical University, Istanbul, Turkey



*Corresponding author

Received: 01 May 2016
Revised: 12 August 2016
Accepted: 10 September 2016
Published: 25 December 2016

Abstract: In this paper, we investigate the performance of differential Bayesian linear model (BLM) detector in AF relay networks with time varying channels. A first order autoregressive (AR) model is utilized to characterize the time varying nature of channels. We assume that channel state information (CSI) is available at the receiver. We consider that the original transmitted signal is corrupted by noise and other interference signals during transmission due to the nature of wireless channels and multipath fading effects. In this paper, differential BLM detector is proposed in multiple relays network with time varying channels in order to enhance the receiver detection performance. Analytical and simulation evaluations on receiver operating characteristics (ROCs), bit error rate (BER), capacity and outage probability of the system are presented. Comparative results have shown that the time varying channels affect the system performance compared to static channels. The proposed detection method can be effective and resistant on the channel variation, can provide minimum bit error rate, minimum outage probability and higher channel capacity when the number of relays increases.

Keywords: Amplify and Forward (AF) Relay Networks; Differential Bayesian Linear Model (BLM) Detector; Channel Capacity; Outage Probability; Receiver Operating Characteristics (ROC); Time Varying Channels..

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