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Báo cáo hóa học: " Research Article Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data 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 Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 532607 14 pages doi 10.1155 2009 532607 Research Article Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data Networks Stefano Buzzi 1 H. Vincent Poor 2 and Daniela Saturnino1 1DAEIMI University ofCassino Via G. Di Biasio 43 03043 Cassino FR Italy 2 School of Engineering and Applied Science Princeton University Princeton NJ 08544 USA Correspondence should be addressed to Stefano Buzzi buzzi@unicas.it Received 1 February 2008 Revised 18 June 2008 Accepted 31 July 2008 Recommended by Christian Peel The issue of adaptive and distributed cross-layer resource allocation for energy efficiency in uplink code-division multiple-access CDMA wireless data networks is addressed. The resource allocation problems are formulated as noncooperative games wherein each terminal seeks to maximize its own energy efficiency namely the number of reliably transmitted information symbols per unit of energy used for transmission. The focus of this paper is on the issue of adaptive and distributed implementation of policies arising from this approach that is it is assumed that only readily available measurements such as the received data are available at the receiver in order to play the considered games. Both single-cell and multicell networks are considered. Stochastic implementations of noncooperative games for power allocation spreading code allocation and choice of the uplink linear receiver are thus proposed and analytical results describing the convergence properties of selected stochastic algorithms are also given. Extensive simulation results show that in many instances of practical interest the proposed stochastic algorithms approach with satisfactory accuracy the performance of nonadaptive games whose implementation requires much more prior information. Copyright 2009 Stefano Buzzi et al. This is an open access article distributed .