[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6109/jicce.2015.13.4.221

Optimal Sensing Time for Maximizing the Throughput of Cognitive Radio Using Superposition Cooperative Spectrum Sensing

Vu-Van, Hiep (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)

Publication Information

Journal of information and communication convergence engineering / v.13, no.4, 2015 , pp. 221-227 More about this Journal

Abstract

Spectrum sensing plays an essential role in a cognitive radio network, which enables opportunistic access to an underutilized licensed spectrum. In conventional cooperative spectrum sensing (CSS), all cognitive users (CUs) in the network spend the same amount of time on spectrum sensing and waste time in remaining silent when other CUs report their sensing results to the fusion center. This problem is solved by the superposition cooperative spectrum sensing (SPCSS) scheme, where the sensing time of a CU is extended to the reporting time of the other CUs. Subsequently, SPCSS assigns the CUs different sensing times and thus affects both the sensing performance and the throughput of the system. In this paper, we propose an algorithm to determine the optimal sensing time of each CU for SPCSS that maximizes the achieved system throughput. The simulation results prove that the proposed scheme can signiﬁcantly improve the throughput of the cognitive radio network compared with the conventional CSS.

Keywords

Cognitive radio; Optimal sensing time; Superposition cooperative spectrum sensing; Throughput maximization;

Citations & Related Records

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