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Fuzzy Based power control system Using ANFIS and MIMO-OFDM Techniques in Cognitive Radio Networks
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Cognitive Radio technology is used for efficient utilization of the spectrum. There are two types of users, one is the Primary user (PU), and the second one is the Secondary user (SU). In those users, PU is having the license to use the spectrum. The SU does not have the license to use the spectrum. Cognitive Radio comprises of Spectrum sensing, Spectrum Management and Spectrum Mobility. In cognitive radio, optimal power control in spectrum sharing is main research issues. In the spectrum, sharing both PU and SU can access the spectrum simultaneously as long as there is no interference to PU’s of Quality of service (QOS). So we have to handle this interference to the PU and we have to improve the performance of the SU. For that power control is the main consternate to improve the performance of SU. In our thesis, we are divided into two parts, the first one is we used ANFIS (Adaptive Neuro Fuzzy Inference System) for optimizing power control in cognitive radio network Users (SU) by optimization of SNR & SINR at Primary User (PU) to maintain QOS of PU and improve the performance of SU and Channel capacity computation for various ISR tolerance levels at PU. In second part, we used implementation of MIMO (Multiple Input Multiple output)-OFDM (Orthogonal Frequency Division Multiplexing) transmission technique in CRN (Cognitive Radio networks) for it is use in emergency conditions where transmission requires reliability and high data rate. Then it is tested BER (Bit error rate) performance on MATLAB. Key words: Cognitive Radio, Power Control, the Fuzzy Interference System (FIS), ANFIS, “MIMO” (“Multiple Input Multiple Output”), “OFDM” (“Orthogonal Frequency Division Multiplexing”), AWGN, BER, SNR, Eb/N0

Place, publisher, year, edition, pages
2014. , 55 p.
Keyword [en]
Cognitive Radio, Power Control, the Fuzzy Interference System (FIS), ANFIS, “MIMO” (“Multiple Input Multiple Output”), “OFDM” (“Orthogonal Frequency Division Multiplexing”), AWGN, BER, SNR, Eb/N0
National Category
Signal Processing Telecommunications Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-2715Local ID: oai:bth.se:arkivex28111E2CCB3843BBC1257C8200697304OAI: oai:DiVA.org:bth-2715DiVA: diva2:830006
Uppsok
Technology
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Note
0723219413,0723219591Available from: 2015-04-22 Created: 2014-02-17 Last updated: 2015-06-30Bibliographically approved

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Signal ProcessingTelecommunicationsElectrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
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Citation style
  • apa
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