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A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks
Sudan University of Science and Technology, SDN.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Telecommunication Systems.
2012 (English)In: Self-Organization and Green Applications in Cognitive Radio Networks / [ed] Al-Dulaimi, Anwer; Cosmas, John; Mohammed, Abbas, IGI Global , 2012, p. 136-153Chapter in book (Other academic)
Place, publisher, year, edition, pages
IGI Global , 2012. p. 136-153
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17310DOI: 10.4018/978-1-4666-2812-0.ch007OAI: oai:DiVA.org:bth-17310DiVA, id: diva2:1264291
Available from: 2018-11-19 Created: 2018-11-19 Last updated: 2018-12-19Bibliographically approved
In thesis
1. Applications of Soft Computing Techniques for Wireless Communications
Open this publication in new window or tab >>Applications of Soft Computing Techniques for Wireless Communications
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented.

Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks.

This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-17314 (URN)978-91-7295-364-2 (ISBN)
Supervisors
Available from: 2018-12-19 Created: 2018-11-19 Last updated: 2019-01-17Bibliographically approved

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Publisher's full texthttp://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-2812-0.ch007

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Erman, MariaMohammed, Abbas

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CiteExportLink to record
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  • apa
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Output format
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