Location-aware spectrum sharing in cognitive radio networks - A semi-matching approach

Fangyong Li, Jun Zhang, Khaled Ben Letaief

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Cognitive radio can improve the spectrum efficiency by allowing multiple secondary users to access the idle licensed spectrum, for which efficient and fair spectrum sharing is one of the key challenges. In this paper, we investigate the multiuser multi-channel spectrum allocation problem in cognitive radio networks with the objective of maximizing the minimum throughput among all the cognitive pairs. In the proposed approach, all the secondary users will get the opportunity to access the channel and thus a good fairness can be achieved. We first introduce a weighted bipartite graph model for this design problem. A novel semi-matching based framework is then proposed to provide an efficient suboptimal solution, which only requires statistical channel state information. Simulation results will show that by applying this approach, max-min fairness can be improved for the secondary users.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781479930838
Publication statusPublished - 10 Nov 2014
Externally publishedYes
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511


Conference2014 IEEE Wireless Communications and Networking Conference, WCNC 2014

ASJC Scopus subject areas

  • Engineering(all)

Cite this