Implementation issues for optimized hard decision energy detector-based cooperative spectrum sensing

摘要

Recent studies in cooperative energy uddetection have focused on the optimization of the threshold value and udfusion center voting rule in an effort to minimize the sensing error udprobability. However, such studies operate under the assumption that theud signal to noise ratio is equal at every node, which is rarely the case udin practice. In this paper, generalized formulas for the optimal udthreshold value and optimal fusion center voting rule are derived for udhard decision energy detector-based spectrum sensing networks where the udsignal to noise ratio is distinct at each node. It is shown that the udimplementation of this solution requires more data to be transmitted udthan the optimal soft decision scheme, which is known to have superior udperformance.