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Mobile Information Systems
Volume 2016, Article ID 3282505, 8 pages
http://dx.doi.org/10.1155/2016/3282505
Research Article

Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

1Department of Engineering Science, University of Greenwich, London, UK
2Department of Computer Science, University of Karbala, Karbala, Iraq
3School of Engineering and Informatics, University of Sussex, Brighton, UK
4Department of Electrical Engineering, Ajman University of Science & Technology, Ajman, UAE

Received 18 March 2016; Revised 15 June 2016; Accepted 10 July 2016

Academic Editor: Fernando Casadevall

Copyright © 2016 Soheil Rostami et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A novel aggregation-based spectrum assignment algorithm for Cognitive Machine-To-Machine (CM2M) networks is proposed. The introduced algorithm takes practical constraints including interference to the Licensed Users (LUs), co-channel interference (CCI) among CM2M devices, and Maximum Aggregation Span (MAS) into consideration. Simulation results show clearly that the proposed algorithm outperforms State-Of-The-Art (SOTA) algorithms in terms of spectrum utilisation and network capacity. Furthermore, the convergence analysis of the proposed algorithm verifies its high convergence rate.