Consensus algorithms for distributed spectrum sensing based on goodness of fit test in cognitive radio networks

Djamel Teguig, Bart Scheers, Vincent Le Nir, Franois Horlin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we study a consensus algorithm for distributed spectrum sensing (DSS) in cognitive radio networks (CRN) integrating a Goodness of Fit based spectrum sensing scheme. Existing work in this area often applies energy detector as a local spectrum sensing method for DSS, however in this case one needs to make the assumption that the noise level is the same at every node in the network, otherwise the threshold can not be set properly. In GoF based spectrum sensing, the threshold for the binary test depends only on the desired false alarm probability and not on the local noise powers. Motivated by this nice feature of GoF based spectrum sensing, we consider the goodness of fit (GoF) test statistic to be exchanged among cognitive radio (CR) users (consensus variable) instead of the energy. Moreover, a weighted consensus based DSS scheme is proposed and compared to the conventional consensus based on DSS. Simulations are conducted to show the effectiveness of the consensus algorithm based on GoF test.

Original languageEnglish
Title of host publication2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788393484812
DOIs
Publication statusPublished - 14 Jul 2015
Event2015 International Conference on Military Communications and Information Systems, ICMCIS 2015 - Cracow, Poland
Duration: 18 May 201519 May 2015

Publication series

Name2015 International Conference on Military Communications and Information Systems, ICMCIS 2015

Conference

Conference2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
Country/TerritoryPoland
CityCracow
Period18/05/1519/05/15

Keywords

  • Cognitive Radio
  • Consensus Algorithms
  • Goodness of Fit test
  • Spectrum Sensing

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