Collaborative sensing for cognitive radio under log-normal shadowing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Spectrum sensing is an essential function in cognitive radio networks. It defines spectrum opportunities that can be used by secondary users to increase spectrum utilization. However, sensing performance is highly affected by shadowing. In this paper, sensing in a log-normal shadowing environment is investigated, where a closed-form for the probability of detection based on Gauss-Hermite integration is derived, and the accuracy of this form is studied. In addition, collaborative sensing in log-normal shadowing is addressed, where the performance of different soft combining schemes is evaluated via Complementary Receiver Operating Characteristic (CROC) curves.

Original languageEnglish
Title of host publication2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984220
DOIs
Publication statusPublished - Mar 12 2015
Event2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 - Muscat, Oman
Duration: Feb 1 2015Feb 4 2015

Publication series

Name2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015

Other

Other2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
Country/TerritoryOman
CityMuscat
Period2/1/152/4/15

Keywords

  • cognitive radio
  • collaborative sensing
  • hard (decision) combining
  • log-normal shadowing
  • probability of detection
  • soft (data) combining
  • spectrum sensing

ASJC Scopus subject areas

  • General Energy
  • General Engineering
  • General Computer Science

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