Title :
Weighted decision fusion algorithm in cooperative spectrum sensing
Author :
Guo, Lili ; Zhang, Shibing
Author_Institution :
Sch. of Electron. & Inf., Nantong Univ., Nantong, China
Abstract :
Due to the geographical locations of cognitive users (namely secondary users, SUs) and the effect of shadowing and fading in channel, the primary user (PU) signal power received at SU is different from each other. In this paper, a weighted decision fusion (WDF) algorithm is proposed to improve the detection reliability. The weighted factors are calculated according to their received PU signal powers instead of their received signal-to-noise ratios (SNRs). Simulation results show that WDF algorithm performs better than traditional decision fusion schemes.
Keywords :
cognitive radio; cooperative communication; WDF algorithm; cognitive users; cooperative spectrum sensing; decision fusion schemes; detection reliability; geographical locations; primary user signal power; signal-to-noise ratios; weighted decision fusion algorithm; Algorithm design and analysis; Cognitive radio; Conferences; Sensors; Signal to noise ratio; Simulation; cooperation; energy detection; spectrum sensing; weighted decision fusion;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067761
