Paper Info
Title
Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
Abstract
The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends on the sensing mode, the sensing time and the number of cooperative users. In order to improve the sensing performance and reduce the interference to the primary user (PU), a periodic cooperative spectrum sensing model based on weight fusion is proposed in this paper. Moreover, the sensing period, the sensing time and the searching time are optimized, respectively. Firstly the sensing period is optimized to improve the spectrum utilization and reduce the interference, then the joint optimization algorithm of the local sensing time and the number of cooperative users, is proposed to obtain the optimal sensing time for improving the throughput of the cognitive radio user (CRU) during each period, and finally the water-filling principle is applied to optimize the searching time in order to make the CRU find an idle channel within the shortest time. The simulation results show that compared with the previous algorithms, the optimal sensing period can improve the spectrum utilization of the CRU and decrease the interference to the PU significantly, the optimal sensing time can make the CRU achieve the largest throughput, and the optimal searching time can make the CRU find an idle channel with the least time.
Year
DOI
Venue
2013
10.3390/s130405251
SENSORS
Keywords
Field
DocType
cognitive radio,energy sensing,cooperative spectrum sensing,sensing period,throughput
Idle,Cru,Communication channel,Fusion,Electronic engineering,Interference (wave propagation),Engineering,Throughput,Periodic graph (geometry),Cognitive radio
Journal
Volume
Issue
ISSN
13
4
1424-8220
Citations 
PageRank 
References 
4
0.43
15
Authors
4
Name
Order
Citations
PageRank
Min Jia115839.37
Xuemai Gu240.43
Xuezhi Tan38014.98
Xin Liu440.43