Optimizing Sensing Scheduling for Cooperative Spectrum Sensing in Cognitive Radio Networks

Tran-Nhut-Khai HOAN  Vu-Van HIEP  Insoo KOO  

IEICE TRANSACTIONS on Communications   Vol.E100-B   No.5   pp.884-892
Publication Date: 2017/05/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3187
Type of Manuscript: PAPER
Category: Terrestrial Wireless Communication/Broadcasting Technologies
cognitive radio,  sequential cooperative spectrum sensing,  throughput,  optimal sensing schedule,  

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In this paper, we consider optimal sensing scheduling for sequential cooperative spectrum sensing (SCSS) technique in cognitive radio networks (CRNs). Activities of primary users (PU) on a primary channel are captured by using a two states discrete time Markov chain process and a soft combination is considered at the FC. Based on the theory of optimal stopping, we propose an algorithm to optimize the cooperative sensing process in which the FC sequentially asks each CU to report its sensing result until the stopping condition that provides the maximum expected throughput for the CRN is satisfied. Simulation result shows that the performance of the proposed scheme can be improved by further shortening the reporting overhead and reducing the probability of false alarm in comparison to other schemes in literature. In addition, the collision ratio on the primary channel is also investigated.