Low-complexity energy-efficient spectrum allocation algorithm for cognitive radio networks

Abdelbaset S. Hamza, Jitender S. Deogun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In Cognitive Radio (CR) networks, Secondary Users (SUs) compete for the channels that are underutilized due to the erratic usage by Primary Users (PUs). One of the key objectives of CR networks is to maximize the network's utilization by increasing the number of SUs while reducing their interference experienced by PUs and SUs. In this paper, we investigate the energy-efficient channel allocation in CR networks. Energy efficiency is defined as the number of bits transmitted per Joule of energy. We propose an efficient algorithm, Maximum-SINR Algorithm (MaxEEA), which has a low time complexity O (N Slog(S)). MaxEEA exploits the information sent by SUs to perform energy-efficient spectrum allocation using a single parameter (i.e. SNR Reduction Factor). The performance of MaxEEA is compared with two greedy algorithms and a fine-tuned metaheuristic, Binary Harmony Search Algorithm (BHSA). Experimental results show that MaxEEA has performance within 1% of that of the fine-tuned BHSA, and better than two benchmark heuristics tested.

Original languageEnglish (US)
Title of host publicationInternational Conference on Informatics and Systems, INFOS 2016
PublisherAssociation for Computing Machinery
Pages260-266
Number of pages7
ISBN (Electronic)9781450340625
DOIs
StatePublished - May 9 2016
Event10th International Conference on Informatics and Systems, INFOS 2016 - Cairo, Egypt
Duration: May 9 2016May 11 2016

Publication series

NameACM International Conference Proceeding Series
Volume09-11-May-2016

Other

Other10th International Conference on Informatics and Systems, INFOS 2016
CountryEgypt
CityCairo
Period5/9/165/11/16

Keywords

  • Cognitive radio networks
  • Evolutionary algorithms
  • Harmony search
  • Spectrum allocation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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