Paper Info
Title
Optimization algorithm of periodical cooperative spectrum sensing in cognitive radio
Abstract
AbstractTo decrease the interference to the primary user PU and improve the detected performance of cognitive radio CR, a single-band sensing scheme wherein the CR periodically senses the PU by cooperative spectrum sensing is proposed in this paper. In this scheme, CR first senses and then transmits during each period, and after the presence of the PU is detected, CR has to vacate to search another idle channel. The joint optimization algorithm based on the double optimization is proposed to optimize the periodical cooperative spectrum sensing scheme. The maximal throughput and minimal search time can be respectively obtained through the joint optimization of the local sensing time and the number of the cooperative CRs. We also extend this scheme to the periodical wideband cooperative spectrum sensing, and the joint optimization algorithm of the numbers of the sensing time slots and cooperative CRs is also proposed to obtain the maximal throughput of CR. The simulation shows that the proposed algorithm has lower computational quantity, and compared with the previous algorithms, when SNR=5dB, the throughput and search time of the proposed algorithm can respectively improve 0.3 kB and decrease 0.4 s. The simulation also indicates that the wideband cooperative spectrum sensing can achieve higher throughput than the single-band cooperative spectrum sensing. Copyright © 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/dac.2377
Periodicals
Keywords
Field
DocType
cognitive radio, energy detection, cooperative spectrum sensing, optimization
Wideband,Computer science,Idle,Communication channel,Real-time computing,Interference (wave propagation),Optimization algorithm,Throughput,Cognitive radio
Journal
Volume
Issue
ISSN
27
5
1074-5351
Citations 
PageRank 
References 
24
0.90
7
Authors
2
Name
Order
Citations
PageRank
Xin Liu1313.05
Xuezhi Tan28014.98