Title :
Collaborative Spectrum Sensing in Cognitive Radio System - Performance Analysis of Weighted Gain Combining
Author :
Feng, T. ; Wang, G. ; Culver, S. ; Gidlund, M.
Author_Institution :
Univ. of British Columbia, Vancover, BC, Canada
Abstract :
Cognitive radio (CR) is a novel approach to improving the spectral efficiency of licensed radio frequency bands by opportunistically accessing unused portions of the band without introducing interference to a licensed user. To reliably identify unused portions in a dynamic environment, a collaborative spectrum sensing (CSS) approach is known to be advantageous. In this article we will consider a weighted energy fusion scheme for secondary users with different sensing channel conditions and to analyze the performance we suggest a numerical approach by utilizing a result from probability density function of the weighted sum of noncentral chi-square random variables are used. Simulation experiments are provided to confirm the viability of the proposed numerical approach.
Keywords :
cognitive radio; performance evaluation; probability; radio spectrum management; radiofrequency interference; random processes; spectral analysis; CR; CSS approach; cognitive radio system; collaborative spectrum sensing approach; dynamic environment; interference; licensed radio frequency bands; licensed user; noncentral chi-square random variables; performance analysis; probability density function; secondary users; sensing channel conditions; spectral efficiency; weighted energy fusion scheme; weighted gain combining; Collaboration; Detectors; Finite wordlength effects; Probability density function; Signal to noise ratio; Silicon; BER; SNR; Spectrum sensing;
Conference_Titel :
Communication Networks and Services Research Conference (CNSR), 2011 Ninth Annual
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-0040-8
Electronic_ISBN :
978-0-7695-4393-2
DOI :
10.1109/CNSR.2011.10
