tailieunhanh - Báo cáo hóa học: " Research Article Cooperative Multibeamforming in Ad Hoc Networks"

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 Cooperative Multibeamforming in Ad Hoc Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 310247 11 pages doi 2008 310247 Research Article Cooperative Multibeamforming in Ad Hoc Networks Chuxiang Li1 and Xiaodong Wang2 1 Marvell Semiconductor Inc. Santa Clara CA 95054 USA 2 Department of Electrical Engineering Columbia University New York NY 10027 USA Correspondence should be addressed to Xiaodong Wang wangx@ Received 24 April 2007 Revised 6 August 2007 Accepted 8 October 2007 Recommended by G. K. Karagiannidis We treat the problem of cooperative multiple beamforming in wireless ad hoc networks. The basic scenario is that a cluster of source nodes cooperatively forms multiple data-carrying beams toward multiple destination nodes. To resolve the hidden node problem we impose a link constraint on the receive power at each unintended destination node. Then the problem becomes to optimize the transmit powers and beam weights at the source cluster subject to the maximal transmit power constraint the minimal receive signal-to-interference-plus-noise ratio SINR constraints at the destination nodes and the minimal receive power constraints at the unintended destination nodes. We first propose an iterative transmit power allocation algorithm under fixed beamformers subject to the maximal transmit power constraint as well as the minimal receive SINR and receive power constraints. We then develop a joint optimization algorithm to iteratively optimize the powers and the beamformers based on the duality analysis. Since channel state information CSI is required by the sources to perform the above optimization we further propose a cooperative scheme to implement a simple CSI estimation and feedback mechanism based on the subspace tracking principle. Simulation results are provided to demonstrate the performance of the proposed algorithms. Copyright 2008 C. Li and X. Wang. This is an open access article distributed under the Creative Commons .

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