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

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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.

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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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Authors and Affiliations

  1. School of Information Engineering, Wuhan University of Technology, Wuhan, China

    Duzhong Zhang, Quan Liu, Wenjun Xu & Kehao Wang

  2. Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan, China

    Duzhong Zhang, Quan Liu, Wenjun Xu & Kehao Wang

  3. Lab. de Recherche Informatique (LRI-CNRS UMR 8623), Univ. Paris-Sud, 91405, Orsay, France

    Lin Chen

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  1. Duzhong Zhang
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  2. Quan Liu
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Correspondence to Duzhong Zhang.

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Zhang, D., Liu, Q., Chen, L. et al. On-demand ecology-inspired spectrum allocation mechanism for heterogeneous cognitive radio networks. Telecommun Syst 66, 589–601 (2017). https://doi.org/10.1007/s11235-017-0311-6

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