tailieunhanh - báo cáo hóa học:" Editorial Dynamic Spectrum Access for Wireless Networking"

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: Editorial Dynamic Spectrum Access for Wireless Networking | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 630912 2 pages doi 2009 630912 Editorial Dynamic Spectrum Access for Wireless Networking R. Chandramouli 1 Ananthram Swami 2 John Chapin 3 and K. P. Subbalakshmi1 1 Department ofECE Stevens Institute of Technology Hopkins NJ 07030 USA 2 . Army Research Laboratory Adelphi MD 20783 USA 3 Communication and Networking Group MIT Research Laboratory of Electronics Cambridge MA 02139 USA Correspondence should be addressed to R. Chandramouli mouli@ Received 31 December 2009 Accepted 31 December 2009 Copyright 2009 R. Chandramouli et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Reforms to the traditional command-and-control communication spectrum licensing policy are being considered worldwide in several countries. The flexibility offered by the new spectrum policies is expected to enable wireless devices to opportunistically access spectrum in both the licensed and unlicensed bands. Clearly the success of such an emerging dynamic spectrum access paradigm depends on the cross-disciplinary wireless technologies policies and standards. This special issue contains contributed and invited paper focusing on several key aspects of dynamic spectrum access wireless networks namely spectrum sensing user cooperation in spectrum access spectrum sharing security game theoretic modeling network coding and theoretical and experimental performance analysis of dynamic spectrum access networks. We would like to thank the Editor-in-Chief Philip Regalia for his support. We are also grateful to all the reviewers and the invited authors. . Kim and G. B. Giannakis discuss sequential spectrum sensing and model it as a stopping time problem in their invited paper. A suboptimal algorithm that has reduced

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