Telecommunication Systems

, Volume 66, Issue 4, pp 589–601 | Cite as

On-demand ecology-inspired spectrum allocation mechanism for heterogeneous cognitive radio networks

  • Duzhong Zhang
  • Quan Liu
  • Lin Chen
  • Wenjun Xu
  • Kehao Wang
Article
  • 127 Downloads

Abstract

As increasing number of cognitive radio network (CRN) standards are developed in TV White Spaces band with incompatible communication patterns, heterogeneous CRNs coexistence problem could not be avoided. However, most solutions on this problem have not considered CRNs’ actual data transmission demands and weighted fairness simultaneously. Therefore, we would like to introduce a novel On-demand ecological Species Competition based HEterogeneous networks coexistence MEchanism (O-SCHEME) in this paper. Inspired by ecology species competition model, O-SCHEME utilizes an ecology based spectrum allocation mechanism for guaranteeing heterogeneous CRNs’ spectrum shares weighted fairness. And by employing CRNs’ communication spectrum requirement constraints, actual data transmission needs could be satisfied without wasted communication resources. Through both theoretical and simulation analyses, we demonstrate that O-SCHEME can achieve stable and fair spectrum allocations among coexisting networks with high communication efficiency.

Keywords

Cognitive radio networks Ecology based algorithm Networks coexistence Weighted fairness Communication resources demands 

Notes

Acknowledgements

This research is supported by National Natural Science Foundation of China (Grant Nos. 51675389 and 51475343), the International Science & Technology Cooperation Program, Hubei Technological Innovation Special Fund (Grant No. 2016AHB005), and the Fundamental Research Funds for the Central Universities (Grant No. 2017III5XZ).

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Duzhong Zhang
    • 1
    • 2
  • Quan Liu
    • 1
    • 2
  • Lin Chen
    • 3
  • Wenjun Xu
    • 1
    • 2
  • Kehao Wang
    • 1
    • 2
  1. 1.School of Information EngineeringWuhan University of TechnologyWuhanChina
  2. 2.Key Laboratory of Fiber Optic Sensing Technology and Information ProcessingMinistry of EducationWuhanChina
  3. 3.Lab. de Recherche Informatique (LRI-CNRS UMR 8623)Univ. Paris-SudOrsayFrance

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