Frequency analysis and selection for cognitive radio using fuzzy logic system
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
Pensee Journal
Abstract
The 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.
Description
Keywords
Cognitive Radio, Frequency Analysis, Adaptive Control, Fuzzy Logic System
Citation
Mushtaq, 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).