CSS performance analysis and optimisation based on soft decision fusion Online publication date: Fri, 31-Oct-2014
by Mei-Ling Li; Zeng-Shou Dong
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 7, No. 3, 2014
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.
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