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ICUMT
2009

Cooperative robust sequential detection algorithms for Spectrum Sensing in Cognitive Radio

11 years 3 months ago
Cooperative robust sequential detection algorithms for Spectrum Sensing in Cognitive Radio
Abstract-- We consider the problem of Spectrum Sensing in Cognitive Radio Networks. In our previous work we have developed DualCUSUM, a distributed algorithm for change detection and used it for cooperative spectrum sensing. The algorithm is based on sequential change detection techniques which optimally use the past observations. But DualCUSUM requires the knowledge of the channel gains for each of the secondary users. In this work we modify DualCUSUM to develop GLR-CUSUM which can work with imprecise estimates of the channel gains. Next we extend the algorithm to the case where the receiver noise power is also not known exactly. We show that the SNR wall problem encountered in this scenario is not experienced by our algorithm. We also analyze these algorithms theoretically. Keywords-Cognitive Radio, Cooperative Spectrum Sensing, Decentralized Sequential Detection, Robust Detection.
ArunKumar Jayaprakasam, Vinod Sharma
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICUMT
Authors ArunKumar Jayaprakasam, Vinod Sharma
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