Matching theory for cognitive spectrum allocation in wireless networks

Raghed El-Bardan, Walid Saad, Swastik Brahma, Pramod Kumar Varshney

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

4 Scopus citations

Abstract

In this paper, a novel spectrum allocation approach for cognitive radio networks (CRNs) is proposed. Based on a measure of inference performance as well as on a measure of quality-of-service, the association between secondary users (SUs) in the network and frequency bands licensed to primary users (PUs) is investigated. The problem is formulated as a matching game between SUs and PUs. In this game, SUs employ hypothesis testing to detect PUs' signals and, eventually, rank them based on the logarithm of the a posteriori probability ratio. A valuation that captures the ranking metric and rate over the PU-owned frequency bands is proposed to PUs in the form of credit or rewards by SUs. Using this proposal, a PU evaluates a utility function that it uses to build its association preferences. A distributed algorithm that allows both SUs and PUs to interact and self-organize into a stable and optimal matching is presented. Simulation results show that the proposed algorithm can improve: i) the sum of SUs' rates by up to 20% and 60% relative to the deferred acceptance algorithm and random channel allocation approach respectively, and ii) the sum of PUs' payoffs by up to 25% compared to the deferred acceptance algorithm. The results also show an improved convergence time.

Original languageEnglish (US)
Title of host publication2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages466-471
Number of pages6
ISBN (Electronic)9781467394574
DOIs
StatePublished - Apr 26 2016
Event50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States
Duration: Mar 16 2016Mar 18 2016

Other

Other50th Annual Conference on Information Systems and Sciences, CISS 2016
CountryUnited States
CityPrinceton
Period3/16/163/18/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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    El-Bardan, R., Saad, W., Brahma, S., & Varshney, P. K. (2016). Matching theory for cognitive spectrum allocation in wireless networks. In 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016 (pp. 466-471). [7460547] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2016.7460547