Title: CSS performance analysis and optimisation based on soft decision fusion

Authors: Mei-Ling Li; Zeng-Shou Dong

Addresses: School of Electronics and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China ' School of Electronics and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China

Abstract: A cooperative spectrum sensing (CSS) based on soft combine with decision fusion (SC-DF-CSS) is proposed and the detection performance is analysed further under the actual channel fading environment. The optimal algorithm to obtain the weighting vector for maximising the detection probability is given based on NP criterion. In order to reduce the complexity, the optimal algorithm for obtaining weighting vector based on modified deflection coefficient (MDC) is further given. The results show that only a little detection performance loss exists in SC-DF-CSS compared with CSS based on soft combine with data fusion, while the system bandwidth can be effectively saved by the former. In addition, it is also shown that the detection performance can be effectively improved by the optimal algorithm and the optimal algorithm based on MDC can achieve the same performance with the optimal algorithm based on NP criterion, which, however, reduces the computational complexity greatly.

Keywords: cooperative spectrum sensing; channel fading; weighting vector; CSS performance evaluation; optimisation; soft decision fusion; modified deflection coefficient; MDC; data fusion.

DOI: 10.1504/IJWMC.2014.062002

International Journal of Wireless and Mobile Computing, 2014 Vol.7 No.3, pp.246 - 252

Available online: 29 May 2014 *

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