hig.sePublications
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MAC Layer Spectrum Sensing in Cognitive Radio Networks
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH. (Electronics)ORCID iD: 0000-0003-3860-5964
Blekinge Institute of Technology.
2013 (English)In: Self-Organization and Green Applications in Cognitive Radio Networks / [ed] Anwer Al-Dulaimi, John Cosmas, Abbas Mohammed, IGI Global, 2013, 1, p. 210-230Chapter in book (Refereed)
Abstract [en]

Efficient use of the available licensed radio spectrum is becoming increasingly difficult as the demand and usage of the radio spectrum increases. This usage of the spectrum is not uniform within the licensed band but concentrated in certain frequencies of the spectrum while other parts of the spectrum are inefficiently utilized. In cognitive radio environments, the primary users are allocated licensed frequency bands while secondary cognitive users can dynamically allocate the empty frequencies within the licensed frequency band, according to their requested quality of service specifications. In this chapter, the authors investigate and assess the performance of MAC layer sensing schemes in cognitive radio networks. Two performance metrics are used to assess the performance of the sensing schemes: the available spectrum utilization and the idle channel search delay for reactive and proactive sensing schemes. In proactive sensing, the adapted and non-adapted sensing period schemes are also assessed. Simulation results show that proactive sensing with adapted periods provides superior performance at the expense of higher computational cost performed by network nodes.

Place, publisher, year, edition, pages
IGI Global, 2013, 1. p. 210-230
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:hig:diva-13980DOI: 10.4018/978-1-4666-2812-0.ch010Scopus ID: 2-s2.0-84898261769ISBN: 9781466628120 (print)ISBN: 9781466628137 (print)OAI: oai:DiVA.org:hig-13980DiVA, id: diva2:612276
Available from: 2013-03-21 Created: 2013-03-21 Last updated: 2022-09-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Hamid, Mohamed

Search in DiVA

By author/editor
Hamid, Mohamed
By organisation
Electronics
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 968 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf