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Applications of Soft Computing Techniques for Wireless Communications
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
2019 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Karlskrona: Blekinge Tekniska Högskola, 2019.
Serie
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17314ISBN: 978-91-7295-364-2 (tryckt)OAI: oai:DiVA.org:bth-17314DiVA, id: diva2:1264294
Veileder
Tilgjengelig fra: 2018-12-19 Laget: 2018-11-19 Sist oppdatert: 2019-01-17bibliografisk kontrollert
Delarbeid
1. Truncated pi-functions in Approximation of Multi-shaped Polygons
Åpne denne publikasjonen i ny fane eller vindu >>Truncated pi-functions in Approximation of Multi-shaped Polygons
2004 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

The studies of data, which result in sampled information in the form of finite fuzzy sets, give rise to the creation of polygons consisting of finite numbers of points tied together. Since the polygons are not formalized by some mathematical expressions, it would be desirable to find continuous functions approximating them rather thoroughly in spite of their irregular shapes. An approximation by the standard curves is sometimes too rough to be a reliable source of a further analysis of the polygons. To improve the accuracy of approximating we test a continuous function, which is composed of joined pi-class functions with seven parameters. The function, called by us “the sampled, truncated pi”, is very sensitive for each little deviation in the polygon’s shape, which allows us to classify it exactly without large errors usually accompanying a process of standard approximation.

sted, utgiver, år, opplag, sider
Warszawa: EXIT - the Polish Academy of Sciences, 2004
Emneord
truncated pi-functions, a polygon approximation, IP traffic characterization
HSV kategori
Identifikatorer
urn:nbn:se:bth-9549 (URN)oai:bth.se:forskinfoCB0BF618480D0527C1256FA3003832C3 (Lokal ID)83-87674-71-0 (ISBN)oai:bth.se:forskinfoCB0BF618480D0527C1256FA3003832C3 (Arkivnummer)oai:bth.se:forskinfoCB0BF618480D0527C1256FA3003832C3 (OAI)
Konferanse
EURO WG on Fuzzy Sets
Tilgjengelig fra: 2012-09-18 Laget: 2005-02-09 Sist oppdatert: 2018-12-19bibliografisk kontrollert
2. Pi-truncated Functions and Rough Sets in the Classification of Internet Protocols
Åpne denne publikasjonen i ny fane eller vindu >>Pi-truncated Functions and Rough Sets in the Classification of Internet Protocols
2005 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

The studies of Internet Protocol data give rise to the creation of polygons consisting of finite numbers of points tied together. Since the polygons are not formalized by some mathematical expressions, we suggest creating continuous functions, which approximate them thoroughly in spite of their irregular shapes. To warrant a high accuracy of approximating, otherwise impossible to obtain when using standard curves, we test a continuous function, which is composed of joined truncated pi-class functions with seven parameters. By operating with the functions representing polygons having unusual shapes, we attempt a classification of Internet traffic data, based on datagram sizes. We adopt rough sets to assign the members to an investigated Internet class even if their origin sometimes is unknown.

sted, utgiver, år, opplag, sider
Beijing, China: Tsinghua University Press - Springer, 2005
Emneord
truncated pi-functions, polygon approximation, indiscernibility relation, rough sets in IP traffic characterization
HSV kategori
Identifikatorer
urn:nbn:se:bth-9913 (URN)oai:bth.se:forskinfo706EBA0419C7295AC125705B004BF88C (Lokal ID)7-302-11377-7 (ISBN)oai:bth.se:forskinfo706EBA0419C7295AC125705B004BF88C (Arkivnummer)oai:bth.se:forskinfo706EBA0419C7295AC125705B004BF88C (OAI)
Konferanse
Eleventh International Fuzzy Systems Association World Congress - IFSA 2005
Tilgjengelig fra: 2012-09-18 Laget: 2005-08-12 Sist oppdatert: 2018-12-19bibliografisk kontrollert
3. Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix
Åpne denne publikasjonen i ny fane eller vindu >>Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix
2010 (engelsk)Inngår i: International Journal of General Systems, ISSN 0308-1079, E-ISSN 1563-5104, Vol. 39, nr 3, s. 291-304Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We explore the classical model of a two-player game to select the best strategies, where action is expected to maintain the values of a certain variable on the neutral level. By inserting fuzzy sets as payoff values in the game matrix, we facilitate the procedure of formulations of payoff expectations by players. Instead of making inconvenient decisions about the choice of accurate numerical entries of the matrix, the players are able to use words, which should simplify communication between them when designing the preliminaries of the game. The players also have the possibility of making a ranking of their favourite strategies. At the next stage of the play, we involve group decision-making in order to aggregate results coming from several paired games, when more than two players contradict each other.

sted, utgiver, år, opplag, sider
Taylor&Francis, 2010
Emneord
two-player game, fuzzy payoff matrix, weighted strategies, group decision-making
HSV kategori
Identifikatorer
urn:nbn:se:bth-7893 (URN)10.1080/03081070903552882 (DOI)000275196000006 ()oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (Lokal ID)oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (Arkivnummer)oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (OAI)
Eksternt samarbeid:
Tilgjengelig fra: 2012-09-18 Laget: 2010-01-26 Sist oppdatert: 2018-12-19bibliografisk kontrollert
4. Fuzzy Logic Applications in Wireless Communications
Åpne denne publikasjonen i ny fane eller vindu >>Fuzzy Logic Applications in Wireless Communications
2009 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Lisbon: EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY, 2009
Emneord
Fuzzy Logic, Channel equalization, Channel Estimation, Wireless Communications
HSV kategori
Identifikatorer
urn:nbn:se:bth-8008 (URN)000279170600134 ()oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (Lokal ID)978-989-95079-6-8 (ISBN)oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (Arkivnummer)oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (OAI)
Konferanse
IFSA2009 / EUSFLAT09
Tilgjengelig fra: 2012-09-18 Laget: 2009-08-10 Sist oppdatert: 2018-12-19bibliografisk kontrollert
5. ANFIS based Opportunistic power control for cognitive radio in spectrum sharing
Åpne denne publikasjonen i ny fane eller vindu >>ANFIS based Opportunistic power control for cognitive radio in spectrum sharing
2013 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Cognitive radio is an intelligent technology that helps in resolving the issue of spectrum scarcity. In a spectrum sharing network, where secondary user can communicate simultaneously along with the primary user in the same frequency band, one of the challenges is to obtain balance between two conflicting goals that are to minimize the interference to the primary users and to improve the performance of the secondary user. In our paper we have considered a primary link and a secondary link (cognitive link) in a fading channel. To improve the performance of the secondary user by maintaining the Quality of Service (Qos) to the primary user, we considered varying the transmit power of the cognitive user. For this we proposed ANFIS based opportunistic power control strategy with primary user's SNR and primary user's interference channel gain as inputs. By using fuzzy inference system, Qos of primary user is adhered and there is no need of complex feedback channel from primary receiver. The simulation results of the proposed strategy shows better performance than the one without power control.

sted, utgiver, år, opplag, sider
Khulna, Bangladesh: IEEE, 2013
Emneord
ANFIS, Fuzzy inference system, spectrum sharing
HSV kategori
Identifikatorer
urn:nbn:se:bth-6353 (URN)000342218600027 ()oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (Lokal ID)978-1-4799-2299-4 (ISBN)oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (Arkivnummer)oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (OAI)
Konferanse
International Conference on Electrical Information and Communication Technology (EICT)
Tilgjengelig fra: 2015-05-25 Laget: 2015-05-25 Sist oppdatert: 2018-12-19bibliografisk kontrollert
6. A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks
Åpne denne publikasjonen i ny fane eller vindu >>A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks
2012 (engelsk)Inngår i: Self-Organization and Green Applications in Cognitive Radio Networks / [ed] Al-Dulaimi, Anwer; Cosmas, John; Mohammed, Abbas, IGI Global , 2012, s. 136-153Kapittel i bok, del av antologi (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
IGI Global, 2012
HSV kategori
Identifikatorer
urn:nbn:se:bth-17310 (URN)10.4018/978-1-4666-2812-0.ch007 (DOI)
Tilgjengelig fra: 2018-11-19 Laget: 2018-11-19 Sist oppdatert: 2018-12-19bibliografisk kontrollert

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