Title
Optimization of Cooperative Spectrum Sensing in Multiple-Channel Cognitive Radio Networks
Abstract
Cooperative spectrum sensing (CSS) is a promising technology in cognitive radio (CR) networks. Among the many existing CSS methods, the cooperation in a single channel is studied extensively. However, CR networks usually deal with multiple channels, therefore multi-channel CSS needs be studied. In this paper, we investigate the problems that how to optimally assign secondary users (SU) to cooperatively sense multiple channels and how to optimally set the sensing time and sensing thresholds. An optimization problem of multi-channel CSS is formulated to maximize the average throughput of CR networks subject to the constraints of probability of detection for each channel. An exhaustive algorithm and a greedy algorithm are proposed to obtain the optimal solutions of the optimization problem. Finally, both analytical and numerical results are presented to demonstrate the effectiveness of our proposed algorithms. It is also shown that the greedy algorithm with a low complexity achieves the same performance as the exhaustive algorithm.
Year
DOI
Venue
2011
10.1109/GLOCOM.2011.6133532
GLOBECOM
Keywords
Field
DocType
optimisation,probability of detection,cooperative sense multiple channels,cooperative communication,cognitive radio,exhaustive algorithm,greedy algorithm,optimization problem,wireless channels,greedy algorithms,multiple-channel cognitive radio networks,cooperative spectrum sensing optimization,multichannel css method,probability,cognitive radio network,algorithm design and analysis,sensors,algorithm design,optimization,throughput,cascading style sheets
Mathematical optimization,Algorithm design,Computer science,Cascading Style Sheets,Communication channel,Greedy algorithm,Throughput,Optimization problem,Statistical power,Cognitive radio
Conference
Volume
Issue
ISSN
null
null
1930-529X E-ISBN : 978-1-4244-9267-1
ISBN
Citations 
PageRank 
978-1-4244-9267-1
11
0.66
References 
Authors
10
3
Name
Order
Citations
PageRank
Huogen Yu1804.75
Wanbin Tang213819.42
Shaoqian Li32276195.05