Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Asymptotic Analysis of Large Cooperative Relay Networks Using Random Matrix Theory | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 235867 15 pages doi 2008 235867 Research Article Asymptotic Analysis of Large Cooperative Relay Networks Using Random Matrix Theory Husheng Li 1 Z. Han 2 and H. Poor3 1 Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN 37996-2100 USA 2 Department of Electrical and Computer Engineering Boise State University Boise ID 83725 USA 3 Department of Electrical Engineering Princeton University Princeton NJ 08544 USA Correspondence should be addressed to Husheng Li husheng@ Received 29 November 2007 Accepted 22 February 2008 Recommended by Andrea Conti Cooperative transmission is an emerging communication technology that takes advantage of the broadcast nature of wireless channels. In cooperative transmission the use of relays can create a virtual antenna array so that multiple-input multiple-output MIMO techniques can be employed. Most existing work in this area has focused on the situation in which there are a small number of sources and relays and a destination. In this paper cooperative relay networks with large numbers of nodes are analyzed and in particular the asymptotic performance improvement of cooperative transmission over direction transmission and relay transmission is analyzed using random matrix theory. The key idea is to investigate the eigenvalue distributions related to channel capacity and to analyze the moments of this distribution in large wireless networks. A performance upper bound is derived the performance in the low signal-to-noise-ratio regime is analyzed and two approximations are obtained for high and low relay-to-destination link qualities respectively. Finally simulations are provided to validate the accuracy of the analytical results. The analysis in this paper provides important tools for the understanding and the design of large cooperative wireless networks. Copyright 2008
