A fuzzy logic based approach to spectrum assignment in cognitive radio networks

Author

Maheshwari, Pushp ; Singh, Awadhesh Kumar

Author_Institution

Comput. Eng. Dept., Nat. Inst. of Technol., Kurukshetra, India

fYear

2015

fDate

12-13 June 2015

Firstpage

278

Lastpage

281

Abstract

In cognitive radio networks (CRNs), the unlicensed nodes opportunistically access the unutilized spectrum that is owned by licensed nodes. The article presents a fuzzy logic based spectrum handoff and assignment approach that enhances the channel utilization and avoids frequent channel switching. The approach considers interference as well as bit error and signal strength in order to find quality channel. Based on generated fuzzy patterns of channel quality, the neural network is trained in order to estimate the channel gain. It is used to select the efficient spectrum in heterogeneous environment.

Keywords

channel allocation; cognitive radio; fuzzy logic; learning (artificial intelligence); radio spectrum management; radiofrequency interference; telecommunication computing; wireless channels; CRN; channel gain estimation; channel utilization enhancement; cognitive radio network; frequent channel switching avoidance; fuzzy logic based spectrum handoff; neural network training; spectrum assignment; Channel estimation; Cognitive radio; Fuzzy logic; Hidden Markov models; Interference; Neural networks; Sensors; Cognitive Radio Networks; Fuzzy Logic; Neural Network; Spectrum Handoff;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2015 IEEE International

Conference_Location

Banglore

Print_ISBN

978-1-4799-8046-8

Type

conf

DOI

10.1109/IADCC.2015.7154713

Filename

7154713