Optimum Cooperative Spectrum Sensing Technique for Multiuser Ultraviolet Wireless Communications

Sudhanshu Arya, Yeon Ho Chung, Zabih Ghassemlooy

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

3 Citations (Scopus)
17 Downloads (Pure)

Abstract

In this paper, we present a novel optimum cooperative spectrum sensing technique to mitigate multiuser interference for multiuser ultraviolet wireless communications over Málaga distributed turbulence channel. We consider the distributed decision fusion for the cooperative sensing. Based on the derived Málaga distribution, a mathematically-tractable expression for the average probability of detection is presented. An optimal voting rule is derived to minimize the average error rate. To verify this optimum voting rule, we use the energy detection technique. It is found that the formulated voting rule produces one optimal value only, which indeed confirms its optimum performance.

Original languageEnglish
Title of host publication2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages90-95
Number of pages6
ISBN (Electronic)9781728167435
ISBN (Print)9781728160511
DOIs
Publication statusPublished - 20 Jul 2020
Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
Duration: 20 Jul 202022 Jul 2020

Publication series

Name2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020

Conference

Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Country/TerritoryPortugal
CityPorto
Period20/07/2022/07/20

Keywords

  • Probability of detection
  • scattering
  • ultraviolet communication

Fingerprint

Dive into the research topics of 'Optimum Cooperative Spectrum Sensing Technique for Multiuser Ultraviolet Wireless Communications'. Together they form a unique fingerprint.

Cite this