NDLI: Development and performance evaluation of blind eigenvalue to noise power ratio detector for co-operative spectrum sensing

Content Provider	IEEE Xplore Digital Library
Author	Masal, A.A. Panda, G.
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Sci., Indian Inst. of Technol., Bhubaneswar, Bhubaneswar, India (Masal, A.A.; Panda, G.)
Abstract	Cognitive Radio (CR) is considered as a significant evolution in wireless communication. Spectrum sensing is one of the important issues of the CR. This paper proposes a blind technique for cooperative spectrum sensing in MIMO scenario. The proposed algorithm employs the ratio of maximum eigenvalue of sample covariance matrix to the estimated noise power, as test statistic for achieving improved spectrum sensing. The expression for probability of false alarm is calculated using random matrix theories (RMT). Based on this, expressions for threshold and probability of detection are formulated. Simulation results of proposed method are obtained and verified with other spectrum sensing methods. The comparison demonstrates superior performance of the proposed method over the other methods.
Starting Page	1
Ending Page	5
File Size	1349765
Page Count	5
File Format	PDF
e-ISBN	9781479923205
DOI	10.1109/ECS.2014.6892698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Sample covariance matrix Probability of false alarm (Pfa) Probability of detection (Pd) Co-operative spectrum sensing Random matrix theory (RMT) Cognitive radio (CR) Sensors Artificial intelligence
Content Type	Text
Resource Type	Article

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