Review on Spectrum Sharing Approaches Based on Fuzzy and Machine Learning Techniques in Cognitive Radio Networks

Abdul Sikkandhar Rahamathullah (), Merline Arulraj () and Guruprakash Baskaran ()
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Abdul Sikkandhar Rahamathullah: Sethu Institute of Technology
Merline Arulraj: Sethu Institute of Technology
Guruprakash Baskaran: Sethu Institute of Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1615-1622 from Springer

Abstract: Abstract Recently Cognitive Radio Networks (CRN) are used for improving the efficiency of spectrum usage. It can select spectrum and operate in a adaptive manner. The spectrum sharing has to be allocated and used efficiently for knowing the performance of CRN. The paper analyzes the different spectrum techniques with its merits and limitations. The existing works namely centralized, distributed, cooperative and non cooperative schemes are investigated. From study it can be concluded that fuzzy based approaches in CRN are more efficient.

Keywords: CRN; Spectrum; Allocation; Slot (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_165

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DOI: 10.1007/978-3-030-41862-5_165

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