Queuing model for cognitive radio vehicular network

Alfred Daniel, Anand Paul, Awais Ahmed

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

7 Scopus citations

Abstract

In the competitive era of impending technology, congestion and accidents are still a threat due to various reason, such as high mobility, short link lifetime, and spectrum efficiency in vehicular networks. One of the predominant factors is shortage of spectrum. Hence, the need of efficient management of spectrum in vehicular communication is important. Consequently, the role of cognitive radio (CR) in a vehicular network is essential. In order to exhibit the importance of spectral efficiency, an architecture has been proposed for vehicular communication in CR. The proposed architecture is to minimize both the spectrum inefficiency and spectrum scarcity issues. In addition, multi server queuing model is designed for CR vehicular network. The mathematical analysis shows that CR queuing model is effective in a vehicular network in term of reducing the average waiting time in a system, average waiting time in a queue for a vehicle, and utilization factor of the queuing model.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-10
Number of pages2
ISBN (Electronic)9781479918881
DOIs
StatePublished - 3 Apr 2015
Event2015 2nd International Conference on Platform Technology and Service, PlatCon 2015 - Jeju, Korea, Republic of
Duration: 26 Jan 201528 Jan 2015

Publication series

NameProceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015

Conference

Conference2015 2nd International Conference on Platform Technology and Service, PlatCon 2015
Country/TerritoryKorea, Republic of
CityJeju
Period26/01/1528/01/15

Keywords

  • cognitive radio (CR)
  • multi server queuing model
  • spectrum efficiency
  • spectrum scarcity

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