Frequency analysis and selection for cognitive radio using fuzzy logic system

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dc.contributor.authorMuhammad Tahir Mushtaq
dc.contributor.authorMuhammad Saleem Khan
dc.contributor.authorSarwar Ehsan
dc.contributor.authorG.Jaffar
dc.contributor.authorI.Khan
dc.contributor.authorS.B.Nasir
dc.contributor.authorKoudelka, Otto
dc.date.accessioned2014-04-10T11:21:35Z
dc.date.available2014-04-10T11:21:35Z
dc.date.issued2014
dc.description.abstractThe spectrum scarcity is a great challenge in the future development of wireless communication devices. The idea of Cognitive radio was proposed for the solution of this problem. The research work presented in this paper addresses the Frequency Analysis and Selection for Cognitive Radio (CR) using Fuzzy logic based Adaptive Control System. Fuzzy logic controller FLC is designed for this purpose to optimize the use of available radiofrequency (RF) spectrum resources while minimizing the chances of interference due to primary users. The FLC is used to deal with the incompleteness, uncertainty and heterogeneity of a cognitive radio scenario. Two cascaded fuzzy logic controllers are used. The first fuzzy inference system takes four inputs i.e. environment condition, distance between primary user and the secondary user, speed of secondary user and signal power received at SU (Psu). The only one output of FLC-1 is Psu, which is the signal power of secondary user (SU). The second fuzzy inference system FLC-2 will take four inputs i.e. transmission power of SU (Psu), signal to noise ratio (SNRpu), used frequency spectrum and duration of used frequency. The result of FLC-2 is appeared in the form of available frequency hole.en_US
dc.identifier.citationMushtaq, M. T., Khan, M. S., Ehsan, S., M.S.Khan, G.Jaffar, I.Khan, . . . Koudelka, O. (2014). Frequency Analysis and Selection for Cognitive Radio using Fuzzy Logic System. Pensee Journal, 76(1).en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1107
dc.language.isoenen_US
dc.publisherPensee Journalen_US
dc.subjectCognitive Radioen_US
dc.subjectFrequency Analysisen_US
dc.subjectAdaptive Controlen_US
dc.subjectFuzzy Logic Systemen_US
dc.titleFrequency analysis and selection for cognitive radio using fuzzy logic systemen_US
dc.typeArticleen_US
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