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 contribution

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 Sep 2017
Event2017 International Symposium on Signals, Circuits and Systems, ISSCS 2017 - Iasi
Duration: 13 Jul 201714 Jul 2017

Other

Other2017 International Symposium on Signals, Circuits and Systems, ISSCS 2017
CityIasi
Period13/7/1714/7/17

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

Wang, X., Ekin, S., Qaraqe, K., & Serpedin, E. (2017). Fair resource allocation in downlink OFDM-based cognitive radio networks. In ISSCS 2017 - International Symposium on Signals, Circuits and Systems [8034871] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSCS.2017.8034871