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ANFIS based Opportunistic power control for cognitive radio in spectrum sharing
Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för signalbehandling.
Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för signalbehandling.
Blekinge Tekniska Högskola, Sektionen för teknik, Avdelningen för signalbehandling.
2013 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Khulna, Bangladesh: IEEE , 2013.
Nyckelord [en]
ANFIS, Fuzzy inference system, spectrum sharing
Nationell ämneskategori
Telekommunikation Signalbehandling
Identifikatorer
URN: urn:nbn:se:bth-6353ISI: 000342218600027Lokalt ID: oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7ISBN: 978-1-4799-2299-4 (tryckt)OAI: oai:DiVA.org:bth-6353DiVA, id: diva2:833851
Konferens
International Conference on Electrical Information and Communication Technology (EICT)
Tillgänglig från: 2015-05-25 Skapad: 2015-05-25 Senast uppdaterad: 2018-12-19Bibliografiskt granskad
Ingår i avhandling
1. Applications of Soft Computing Techniques for Wireless Communications
Öppna denna publikation i ny flik eller fönster >>Applications of Soft Computing Techniques for Wireless Communications
2019 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Karlskrona: Blekinge Tekniska Högskola, 2019
Serie
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Nationell ämneskategori
Telekommunikation
Identifikatorer
urn:nbn:se:bth-17314 (URN)978-91-7295-364-2 (ISBN)
Handledare
Tillgänglig från: 2018-12-19 Skapad: 2018-11-19 Senast uppdaterad: 2019-01-17Bibliografiskt granskad

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Chakraborty, JoyrajJ.V.K.C., VarmaErman, Maria

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