miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Hard Decision Cooperative Spectrum Sensing Based on Estimating the Noise Uncertainty Factor
Aswan University, Egypt.
Osaka University, Japan.
2015 (English)In: Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015, IEEE, 2015, p. 217-222Conference paper, Published paper (Refereed)
Abstract [en]

Spectrum Sensing (SS) comprises the most important component in Cognitive Radio (CR) systems. Cooperative Spectrum Sensing (CSS) is proposed as an effective approach to improve detection performance in fading environments. This paper introduces an efficient energy detection based hard decision CSS algorithm to alleviate the noise uncertainty effect. In the proposed algorithm, the decision threshold is dynamically switched between two levels based on a prior prediction of the Primary User (PU) activity. The two threshold levels are evaluated using an estimated value of the noise uncertainty factor to maximize the probability of detection and minimize the probability of false alarm. The proposed algorithm is studied theoretically to deduce the enhanced detection and false alarm probabilities. Moreover, simulation analysis is used to confirm the theoretical claims and prove the high potency of the proposed scheme compared to the conventional CSS using different fusion rules.

Place, publisher, year, edition, pages
IEEE, 2015. p. 217-222
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-31474DOI: 10.1109/ICCES.2015.7393049OAI: oai:DiVA.org:miun-31474DiVA, id: diva2:1135536
Conference
International Conference on Computer Engineering & Systems (ICCES 2015)
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-10-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Farag, Hossam

Search in DiVA

By author/editor
Farag, Hossam
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 12 hits
CiteExportLink to record
Permanent link

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