NDLI: Optimal Cooperative Spectrum Sensing Under Faded and Bandwidth Limited Control Channels

Content Provider	Springer Nature Link
Author	Rakovic, Valentin Atanasovski, Vladimir Gavrilovska, Liljana
Copyright Year	2014
Abstract	Most of the cooperative spectrum sensing related research assumes system models with perfect control channel (i.e. with unlimited channel bandwidth and no channel errors). However, the assumption is not realistic and can lead to incorrect conclusions regarding the performance analysis of the cooperative spectrum sensing detection capabilities. This paper proposes a novel cooperative spectrum sensing framework that mitigates the imperfect control channel features, like the limited control channel bandwidth and error proneness, and achieves the detection performances of cooperative spectrum sensing under ideal control channel. It utilizes node clustering and multi-antenna spatial multiplexing (i.e. beamforming) and provides a generic framework that can be exploited by any cooperative spectrum sensing and fusion technique. The performance analysis shows that the proposed framework alleviates the control channel bandwidth limitation and significantly decreases the control channel error rate. The performance evaluation results also show that the proposed framework achieves the upper bound detection performances, i.e. achieves the same detection performances as the conventional cooperative spectrum sensing with ideal control channel.
Starting Page	1645
Ending Page	1666
Page Count	22
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	78
Issue Number	3
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2014-07-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Optimal cooperative spectrum sensing Beamforming Node clustering Faded control channel Bandwidth limited control channel Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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