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ANFIS based Opportunistic power control for cognitive radio in spectrum sharing
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
2013 (English)Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Khulna, Bangladesh: IEEE , 2013.
Keywords [en]
ANFIS, Fuzzy inference system, spectrum sharing
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-6353ISI: 000342218600027Local ID: oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7ISBN: 978-1-4799-2299-4 (print)OAI: oai:DiVA.org:bth-6353DiVA, id: diva2:833851
Conference
International Conference on Electrical Information and Communication Technology (EICT)
Available from: 2015-05-25 Created: 2015-05-25 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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Chakraborty, JoyrajJ.V.K.C., VarmaErman, Maria

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CiteExportLink to record
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Citation style
  • apa
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Output format
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