A comparison of fusion rules for collaborative sensing under log-normal shadowing

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

1 Citation (Scopus)

Abstract

Spectrum sensing performance is highly degraded due to log-normal shadowing, resulting in more interference to the primary user caused by secondary users. However, collaborative sensing provides diversity that helps to alleviate the effect of shadowing. In this paper, a closed-form of the probability of detection under log-normal shadowing is derived, and the performance of this closed-form in collaborative sensing is investigated via Complementary Receiver Operating Characteristic (CROC) curves for both hard fusion and soft fusion rules.

Original languageEnglish
Title of host publication2014 10th International Conference on Innovations in Information Technology, IIT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-109
Number of pages6
ISBN (Electronic)9781479972128
DOIs
Publication statusPublished - Dec 16 2014
Event2014 10th International Conference on Innovations in Information Technology, IIT 2014 - Abu Dhabi, Al-Ain, United Arab Emirates
Duration: Nov 9 2014Nov 11 2014

Publication series

Name2014 10th International Conference on Innovations in Information Technology, IIT 2014

Other

Other2014 10th International Conference on Innovations in Information Technology, IIT 2014
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi, Al-Ain
Period11/9/1411/11/14

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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