Fast Convergence Cooperative Dynamic Spectrum Access for Cognitive Radio Networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

13 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)3386-3394
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume14
Issue number8
Online published15 Dec 2017
Publication statusPublished - Aug 2018

Abstract

Cognitive radio and dynamic spectrum access can reform the way that radiofrequency spectrum is accessed. Problems of spectrum scarcity, coexistence and unreliable wireless communication that affect industrial wireless networks can be addressed. In this paper, a game theoretic dynamic spectrum access algorithm that improves upon on a hedonic coalition formation algorithm for spectrum sensing and access is presented. The modified algorithm is tailored for faster convergence and scalability and makes use of a novel simultaneous multi-channel sensing and access technique. Results to demonstrate the performance improvements of the adapted algorithm are presented and the use of different decision rules are investigated revealing that a conservative decision rule for exploiting spectrum opportunities performs better than an aggressive decision rule in most scenarios. The algorithm that was developed could be a key enabler for future cognitive radio networks.

Research Area(s)

  • Cognitive radio, cognitive radio, Convergence, Dynamic spectrum access, Game theory, Games, Heuristic algorithms, industrial wireless, Sensors, spectrum management