Applications of Soft Computing Techniques for Wireless Communications
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 ex...
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ndltd-UPSALLA1-oai-DiVA.org-bth-173142019-01-18T05:55:43ZApplications of Soft Computing Techniques for Wireless CommunicationsengErman, MariaBlekinge Tekniska Högskola, Institutionen för tillämpad signalbehandlingKarlskrona2019TelecommunicationsTelekommunikationThis 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. Licentiate thesis, comprehensive summaryinfo:eu-repo/semantics/masterThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:bth-17314urn:isbn:978-91-7295-364-2Blekinge Institute of Technology Licentiate Dissertation Series, 1650-2140 ; 1application/pdfinfo:eu-repo/semantics/openAccess |
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English |
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Telecommunications Telekommunikation |
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Telecommunications Telekommunikation Erman, Maria Applications of Soft Computing Techniques for Wireless Communications |
description |
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. |
author |
Erman, Maria |
author_facet |
Erman, Maria |
author_sort |
Erman, Maria |
title |
Applications of Soft Computing Techniques for Wireless Communications |
title_short |
Applications of Soft Computing Techniques for Wireless Communications |
title_full |
Applications of Soft Computing Techniques for Wireless Communications |
title_fullStr |
Applications of Soft Computing Techniques for Wireless Communications |
title_full_unstemmed |
Applications of Soft Computing Techniques for Wireless Communications |
title_sort |
applications of soft computing techniques for wireless communications |
publisher |
Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling |
publishDate |
2019 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17314 http://nbn-resolving.de/urn:isbn:978-91-7295-364-2 |
work_keys_str_mv |
AT ermanmaria applicationsofsoftcomputingtechniquesforwirelesscommunications |
_version_ |
1718814064101031936 |