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Báo cáo hóa học: "Research Article End-to-End Joint Antenna Selection Strategy and Distributed Compress and Forward Strategy for Relay Channels"

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 Research Article End-to-End Joint Antenna Selection Strategy and Distributed Compress and Forward Strategy for Relay Channels | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 295418 12 pages doi 10.1155 2009 295418 Research Article End-to-End Joint Antenna Selection Strategy and Distributed Compress and Forward Strategy for Relay Channels Rahul Vaze and Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University of Texas at Austin 1 University Station C0803 Austin TX 78712-0240 USA Correspondence should be addressed to Rahul Vaze vaze@ece.utexas.edu and Robert W. Heath Jr. rheath@ece.utexas.edu Received 15 November 2008 Revised 3 March 2009 Accepted 11 May 2009 Recommended by Alejandro Ribeiro Multihop relay channels use multiple relay stages each with multiple relay nodes to facilitate communication between a source and destination. Previously distributed space-time codes were proposed to maximize the achievable diversity-multiplexing tradeoff however they fail to achieve all the points of the optimal diversity-multiplexing tradeoff. In the presence of a low-rate feedback link from the destination to each relay stage and the source this paper proposes an end-to-end antenna selection EEAS strategy as an alternative to distributed space-time codes. The EEAS strategy uses a subset of antennas of each relay stage for transmission of the source signal to the destination with amplifying and forwarding at each relay stage. The subsets are chosen such that they maximize the end-to-end mutual information at the destination. The EEAS strategy achieves the corner points of the optimal diversitymultiplexing tradeoff corresponding to maximum diversity gain and maximum multiplexing gain and achieves better diversity gain at intermediate values of multiplexing gain versus the best-known distributed space-time coding strategies. A distributed compress and forward CF strategy is also proposed to achieve all points of the optimal diversity-multiplexing tradeoff for a two-hop