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Distributed Nonparametric Sequential Spectrum Sensing under Electromagnetic Interference

Sahasranand, KR and Sharma, Vinod (2015) Distributed Nonparametric Sequential Spectrum Sensing under Electromagnetic Interference. In: IEEE International Conference on Communications (ICC), JUN 08-12, 2015, London, ENGLAND, pp. 7521-7527.

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We propose a distributed sequential algorithm for quick detection of spectral holes in a Cognitive Radio set up. Two or more local nodes make decisions and inform the fusion centre (FC) over a reporting Multiple Access Channel (MAC), which then makes the final decision. The local nodes use energy detection and the FC uses mean detection in the presence of fading, heavy-tailed electromagnetic interference (EMI) and outliers. The statistics of the primary signal, channel gain and the EMI is not known. Different nonparametric sequential algorithms are compared to choose appropriate algorithms to be used at the local nodes and the Fe. Modification of a recently developed random walk test is selected for the local nodes for energy detection as well as at the fusion centre for mean detection. We show via simulations and analysis that the nonparametric distributed algorithm developed performs well in the presence of fading, EMI and outliers. The algorithm is iterative in nature making the computation and storage requirements minimal.

Item Type: Conference Proceedings
Series.: IEEE International Conference on Communications
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Nonparametric tests; sequential detection; distributed detection; energy detector; electromagnetic interference; heavy-tailed distributions; shadowing-fading outliers
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 23 Apr 2016 07:50
Last Modified: 23 Apr 2016 07:50
URI: http://eprints.iisc.ac.in/id/eprint/53705

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