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Weighted cooperative spectrum sensing based on D-S evidence theory and double-threshold detection

  • Xiaoqin Xing
  • , Weidong Wang
  • , Zhe Wang
  • , Kai Liu
  • China Academy of Railway Sciences
  • Beihang University

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

Abstract

To achieve fast and accurate detection of the limited spectrum resources and improve the utilization of idle spectrum in cognitive radio networks, a Dempster-Shafer evidence theory based cooperative spectrum sensing (CSS) algorithm with double-threshold is proposed. In order to enhance the reliability of secondary users' detection results in conventional double-threshold energy detection, a weighted evidence fusion rule on the basis of the statistical features of observed energy value is considered either. Simulation results show the proposed algorithm supplies preferable detection performance comparing with traditional CSS algorithms.

Original languageEnglish
Title of host publication2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013
Pages145-149
Number of pages5
DOIs
StatePublished - 2013
Event2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013 - Chengdu, China
Duration: 29 Oct 201331 Oct 2013

Publication series

Name2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013

Conference

Conference2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013
Country/TerritoryChina
CityChengdu
Period29/10/1331/10/13

Keywords

  • Cognitive radio networks
  • Cooperative spectrum sensing
  • Dempster-Shafer evidence theory
  • Double-threshold detection

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