@inproceedings{668675341488403d974fffacffa1616a,
title = "Fair resource allocation in downlink OFDM-based cognitive radio networks",
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.",
author = "Xu Wang and Sabit Ekin and Khalid Qaraqe and Erchin Serpedin",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Symposium on Signals, Circuits and Systems, ISSCS 2017 ; Conference date: 13-07-2017 Through 14-07-2017",
year = "2017",
month = sep,
day = "12",
doi = "10.1109/ISSCS.2017.8034871",
language = "English",
series = "ISSCS 2017 - International Symposium on Signals, Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISSCS 2017 - International Symposium on Signals, Circuits and Systems",
address = "United States",
}