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Fuzzy Logic Applications in Wireless Communications
Responsible organisation
2009 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

A survey of fuzzy logic applications and principles in wireless communications is presented, with the aim of highlighting successful usage of fuzzy logic techniques in applied telecommunications and signal processing. To the best of our knowledge, this is the first such study of its kind. This paper will focus firstly on discerning prevalent fuzzy logic or fuzzy-hybrid approaches in the areas of channel estimation, channel equalization and decoding, and secondly outlining what conditions and situations for which fuzzy logic techniques are most suited for these approaches. Furthermore, after insights gained from isolating fuzzy logic techniques applied to real problems, this paper proposes areas for further research targeted to practice-oriented researchers.

Place, publisher, year, edition, pages
Lisbon: EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY , 2009.
Keywords [en]
Fuzzy Logic, Channel equalization, Channel Estimation, Wireless Communications
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8008ISI: 000279170600134Local ID: oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426ISBN: 978-989-95079-6-8 (print)OAI: oai:DiVA.org:bth-8008DiVA, id: diva2:835692
Conference
IFSA2009 / EUSFLAT09
Available from: 2012-09-18 Created: 2009-08-10 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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Erman, MariaRakus-Andersson, Elisabeth

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • 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