Message-passing algorithms for optimal utilization of cognitive radio networks

Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad

Research output: Chapter in Book/Published conference outputConference publication


Cognitive Radio has been proposed as a key technology to significantly improve spectrum usage in wireless networks by enabling unlicensed users to access unused resource. We present new algorithms that are needed for the implementation of opportunistic scheduling policies that maximize the throughput utilization of resources by secondary users, under maximum interference constraints imposed by existing primary users. Our approach is based on the Belief Propagation (BP) algorithm, which is advantageous due to its simplicity and potential for distributed implementation. We examine convergence properties and evaluate the performance of the proposed BP algorithms via simulations and demonstrate that the results compare favorably with a benchmark greedy strategy.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Communications Workshops, ICC 2013
Number of pages5
ISBN (Print)978-1-4673-5753-1
Publication statusPublished - 2013

Bibliographical note

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.


Dive into the research topics of 'Message-passing algorithms for optimal utilization of cognitive radio networks'. Together they form a unique fingerprint.

Cite this