Research Article
Fair Adaptive Resource Allocation for Multiuser OFDM Cognitive Radio Systems
@INPROCEEDINGS{10.1109/CHINACOM.2007.4469341, author={Tao Qin and Cyril Leung}, title={Fair Adaptive Resource Allocation for Multiuser OFDM Cognitive Radio Systems}, proceedings={2nd International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2008}, month={3}, keywords={Bit error rate Bit rate Chromium Cognitive radio FCC Interference constraints OFDM Resource management Throughput Wireless communication}, doi={10.1109/CHINACOM.2007.4469341} }- Tao Qin
Cyril Leung
Year: 2008
Fair Adaptive Resource Allocation for Multiuser OFDM Cognitive Radio Systems
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469341
Abstract
Cognitive radio (CR) is a promising concept for improving the utilization of scarce radio spectrum resources. Orthogonal frequency division multiplexing (OFDM) is regarded as a technology which is well-matched for CR systems. Dynamic resource allocation is an important task in such systems. In this paper, novel multiuser resource allocation algorithms for OFDM CR systems are presented. The algorithms attempt to maximize the total transmit bit rate (system throughput) of a group of secondary (unlicensed or CR) users subject to (1) a total transmit power constraint for secondary users, (2) a maximum tolerable interference level which can be tolerated by primary (licensed) users. The algorithms are fair in the sense that they try to allocate bits to users who have not received their fair share of service as much as possible. Simulation results show that the proposed algorithm achieves a performance close to optimal. The effect on system throughput of changing various system parameter values is also examined.
