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Optimal fusion rule for cooperative spectrum sensing in cognitive radio networks
Authors:, WANG Qian , YUE Dian-wu , YAN Qiu-na
Affiliation:1. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
2. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;National Mobile Communications Research Laboratory of Southeast University, Nanjing 210096, China
Abstract:In this paper,we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user(PU) link.Our objective is to minimize the average error probability(AEP) so that the link utilization in the considered link achieves its maximum.We derive a closed-form expression of AEP as well as the probability of interference(PoI) by classifying cognitive transmission into six events.Then,we consider the minimization of AEP over counting rules under the constraint of interference.As the solution,we develop an efficient algorithm to evaluate the optimal fusion rule.Finally,we verify our analysis in numerical results.
Keywords:cooperative spectrum sensing  cognitive radio network  average error probability  countering rule  probability of interference  spectrum usage
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