Location-based joint relay selection and channel allocation for cognitive radio networks

Fangyong Li, Bo Bai, Jun Zhang, Khaled Ben Letaief

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

14 Citations (Scopus)

Abstract

In cognitive radio networks (CRNs), dynamic spectrum access has been demonstrated as an effective way to improve the spectrum utilization. Spectrum holes can be exploited not only in certain time slots or frequency bands, but also at particular locations. In relay assisted CRNs, one relay at a certain location can help to identify and provide different spectrum holes over multiple channels. In this paper, a multi-dimensional combinatorial optimization problem is formulated for joint relay selection and channel allocation. We propose a weighted bipartite graph model and a minimum weighted assignment approach to efficiently get the optimal solution of the considered problem. Simulation results show that by applying this approach, spectrum efficiency, relay selection diversity and power efficiency can be improved simultaneously for the cognitive users. Besides, only the statistical channel state information is needed and the allocation results can be computed efficiently by using the proposed approach.

Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs
Publication statusPublished - 1 Dec 2011
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: 5 Dec 20119 Dec 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
CountryUnited States
CityHouston, TX
Period5/12/119/12/11

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Li, F., Bai, B., Zhang, J., & Ben Letaief, K. (2011). Location-based joint relay selection and channel allocation for cognitive radio networks. In 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011 [6134197] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2011.6134197