Fair Resource Allocation in Downlink OFDM-Based Cognitive Radio Networks Conference Paper

abstract

• 2017 IEEE. 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.

name of conference

• 2017 International Symposium on Signals, Circuits and Systems (ISSCS)

authors

• Ekin, Sabit
• Qaraqe, Khalid
• Serpedin, Erchin

published proceedings

• 2017 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS)

author list (cited authors)

• Wang, X. u., Ekin, S., Qaraqe, K., & Serpedin, E.

citation count

• 0

complete list of authors

• Wang, Xu||Ekin, Sabit||Qaraqe, Khalid||Serpedin, Erchin

publication date

• July 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• 4606 Distributed Computing And Systems Software
• 4613 Theory Of Computation

Digital Object Identifier (DOI)

• 10.1109/isscs.2017.8034871

International Standard Book Number (ISBN) 13

• 9781538606742

start page

• 1

end page

• 4

URL

• http://dx.doi.org/10.1109/isscs.2017.8034871