TAILIEUCHUNG - Báo cáo hóa học: " Review Article Comparison among Cognitive Radio Architectures for Spectrum Sensing"

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: Review Article Comparison among Cognitive Radio Architectures for Spectrum Sensing | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2011 Article ID 749891 18 pages doi 2011 749891 Review Article Comparison among Cognitive Radio Architectures for Spectrum Sensing Luca Bixio Marina Ottonello Mirco Raffetto and Carlo S. Regazzoni EURASIP Member Department of Biophysical and Electronic Engineering University of Genoa Via Opera Pia 11a 16145 Genova Italy Correspondence should be addressed to Luca Bixio Received 28 July 2010 Revised 25 November 2010 Accepted 7 February 2011 Academic Editor Jordi Perez-Romero Copyright 2011 Luca Bixio 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. Recently the growing success of new wireless applications and services has led to overcrowded licensed bands inducing the governmental regulatory agencies to consider more flexible strategies to improve the utilization of the radio spectrum. To this end cognitive radio represents a promising technology since it allows to exploit the unused radio resources. In this context the spectrum sensing task is one of the most challenging issues faced by a cognitive radio. It consists of an analysis of the radio environment to detect unused resources which can be exploited by cognitive radios. In this paper three different cognitive radio architectures namely stand-alone single antenna cooperative and multiple antennas are proposed for spectrum sensing purposes. These architectures implement a relatively fast and reliable signal processing algorithm based on a feature detection technique and support vector machines for identifying the transmissions in a given environment. Such architectures are compared in terms of detection and classification performances for two transmission standards IEEE and IEEE . A set of numerical .

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