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

Duzhong Zhang (), Quan Liu (), Lin Chen (), Wenjun Xu () and Kehao Wang ()
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Duzhong Zhang: Wuhan University of Technology
Quan Liu: Wuhan University of Technology
Lin Chen: Univ. Paris-Sud
Wenjun Xu: Wuhan University of Technology
Kehao Wang: Wuhan University of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2017, vol. 66, issue 4, No 2, 589-601

Abstract: 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 (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11235-017-0311-6

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