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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 (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.
Keyword [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: diva2:833851
Conference
International Conference on Electrical Information and Communication Technology (EICT)
Available from: 2015-05-25 Created: 2015-05-25 Last updated: 2017-03-16Bibliographically approved

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