Fair resource allocation in downlink OFDM-based cognitive radio networks

Xu Wang, Sabit Ekin, Khalid Qaraqe, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work investigates the downlink resource allocation (RA) problem in orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks. The objective of this work is to develop a fair RA-Algorithm that maximizes the capacity of secondary users (SUs) and in the same time limits the interference caused to the primary users. The fairness condition is formulated as a minimal data condition at SUs. A relaxed version of the RA-problem is first reviewed without adopting the fairness and then a heuristic algorithm is proposed based on the results obtained for the relaxed problem. Computer simulation results illustrate that the proposed heuristic algorithm can achieve near-optimal performance.

Original languageEnglish
Title of host publicationISSCS 2017 - International Symposium on Signals, Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538606742
DOIs
Publication statusPublished - 12 Sept 2017
Externally publishedYes
Event2017 International Symposium on Signals, Circuits and Systems, ISSCS 2017 - Iasi, Romania
Duration: 13 Jul 201714 Jul 2017

Publication series

NameISSCS 2017 - International Symposium on Signals, Circuits and Systems

Conference

Conference2017 International Symposium on Signals, Circuits and Systems, ISSCS 2017
Country/TerritoryRomania
CityIasi
Period13/07/1714/07/17

Fingerprint

Dive into the research topics of 'Fair resource allocation in downlink OFDM-based cognitive radio networks'. Together they form a unique fingerprint.

Cite this