Finite‐state Markov modelling for wireless cooperative networks. Issue 2 (1st June 2014)

• Record Type: Journal Article
• Authors: Luo, Yuanqian; Zhang, Ruonan; Cai, Lin; Xiang, Siyuan
• Is Part Of: IET networks. Volume 3:Issue 2(2014)
• Page Start: 119
• Page End: 128
• Publication Date: 2014-06-01
• Subjects: diversity reception -- fading channels -- higher order statistics -- Markov processes -- protocols -- radio networks -- time‐varying channels -- video streaming -- amplify and forward communication -- cooperative communication; finite‐state Markov modelling -- wireless cooperative networks -- FSMC models -- time‐varying fading channel -- wireless network protocol design -- multihop wireless system -- multipath wireless system -- amplify‐and‐forward cooperative system -- AF cooperative system -- selection combining -- MRC technique -- maximum ratio combining -- SC technique -- second‐order statistics -- level‐crossing rate -- average fade duration -- statistical properties -- received signal‐to‐noise ratio -- diversity combining scheme -- scalable video streaming; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2013.0045
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : Finite‐state Markov chain (FSMC) models can capture the essence of time‐varying fading channels and they are important tools for wireless network protocol design and performance study. How to build FSMC models for multi‐hop and multi‐path wireless systems remains an open issue. In this study, the FSMC models are developed for amplify‐and‐forward (AF) cooperative systems with selection combining (SC) and maximum ratio combining (MRC) techniques, respectively. First, the second‐order statistics, the level‐crossing rate and the average fade duration, are derived based on the statistical properties of each individual path, for the AF cooperative systems with SC and MRC, respectively. The results reveal that, in addition to improving the average received signal‐to‐noise ratio, the diversity combining schemes also improve its second‐order statistical properties. Simulation results are given to verify the accuracy of the developed FSMC models. Finally, the models are used to optimise the configuration for scalable video streaming in an AF cooperative network. Experimental results show the feasibility and advantage of applying the proposed FSMC models for assisting protocol design and optimisation in wireless cooperative networks.