Paper Info
Title
Optimization of multiple-channel cooperative spectrum sensing in Rayleigh fading environment
Abstract
In this paper, we consider a cognitive radio network (CRN) where different secondary users (SUs) have the different detection signal-to-noise ratios for the same primary user channel in Rayleigh fading environment. We formulate the optimization problem of multi-channel cooperative spectrum sensing (CSS) to maximize the average throughput of the CRN by jointly optimizing the SUs assignment and the sensing time. Considering the optimization problem is non-convex, we transform the optimization problem to two subproblems: the SUs assignment and the sensing time setting. Specifically, a maximum cost function reduction algorithm and water-filling compensation algorithm are proposed to solve the SUs assignment. An iterative algorithm is used to optimize the sensing time. Numerical results show that the proposed algorithms can achieve the performance which is close to that of exhaustive algorithm. Moreover, the joint design can further improve the average throughput of the CRN.
Year
DOI
Venue
2013
10.1109/ICSPCS.2013.6723932
ICSPCS
Keywords
Field
DocType
rayleigh fading environment,water filling compensation algorithm,sensing time optimization,cooperative communication,maximum cost function reduction algorithm,cognitive radio,multiplechannel cooperative spectrum sensing,cognitive radio network,secondary user assignment,concave programming,iterative algorithm,nonconvex optimization problem,primary user channel,signal detection,rayleigh channels
Mathematical optimization,Rayleigh fading,Detection theory,Computer science,Iterative method,Communication channel,Throughput,Optimization problem,Compensation algorithm,Cognitive radio
Conference
Volume
Issue
ISSN
null
null
null
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Xiaoxiao Zhang185.97
Wanbin Tang213819.42
Huogen Yu3804.75
Shaoqian Li42276195.05