báo cáo hóa học:" Research Article Optimization of Sensing Receiver for Cognitive Radio Applications"

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 Optimization of Sensing Receiver for Cognitive Radio Applications | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 309212 12 pages doi 2009 309212 Research Article Optimization of Sensing Receiver for Cognitive Radio Applications Hassan Zamat1 and Balasubramaniam Natarajan2 1 IBM Systems and Technology Group 4660 La Jolla Village Dr. Suite 300 San Diego CA 92127 USA 2 Director WiCom Research Group Department of Electrical Engineering Kansas State University Manhattan KS 66506 USA Correspondence should be addressed to Hassan Zamat zamat@ Received 14 February 2009 Revised 26 May 2009 Accepted 8 July 2009 Recommended by R. Chandramouli We propose an optimized dedicated broadband sensing receiver architecture for use in cognitive radios supporting delay sensitive applications. Specifically we first reason the need for a dedicated sensing receiver that employs a combination of coarse and fine scanning to reduce sensing time over a large bandwidth. We derive an expression for mean acquisition detection time as a function of a number of parameters including the number of coarse and fine frequency bins employed. We then determine the optimal number of coarse and fine bins that minimize the overall detection time required to identify idle channels under various system conditions. Using analytical and simulation results we quantify the dependence of optimal coarse and fine bin selection on system parameters such as 1 size of FFT used in scanning 2 probability of detection and false alarm of the underlying sensing algorithm 3 signal-to-noise ratio of the received signal and 4 expected number of available channels. The primary contribution of this work lies in a practical realization of an optimal broadband sensing receiver. Copyright 2009 H. Zamat and B. Natarajan. 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 .

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