Research Article
Memetic Algorithms with Multi-local-search for Resource Allocation in Multiuser OFDM Based Cognitive Radio Systems
@INPROCEEDINGS{10.1109/CHINACOM.2008.4685018, author={Dong Huang and Chunyan Miao and Cyril Leung}, title={Memetic Algorithms with Multi-local-search for Resource Allocation in Multiuser OFDM Based Cognitive Radio Systems}, proceedings={ChinaCom2008-Wireless Communications and Networking Symposium}, publisher={IEEE}, proceedings_a={CHINACOM2008-WCN}, year={2008}, month={11}, keywords={Next Generation Wireless Systems and Technologies Power Line Communication}, doi={10.1109/CHINACOM.2008.4685018} }- Dong Huang
Chunyan Miao
Cyril Leung
Year: 2008
Memetic Algorithms with Multi-local-search for Resource Allocation in Multiuser OFDM Based Cognitive Radio Systems
CHINACOM2008-WCN
IEEE
DOI: 10.1109/CHINACOM.2008.4685018
Abstract
Cognitive Radio (CR) is a novel concept for improving spectrum utilization in wireless communication systems by permitting secondary (unlicensed) users to access those frequency bands which are not currently being used by primary (licensed) users. A CR user has the ability to change its transmit parameters rapidly according to the environment it senses. Orthogonal frequency division multiplexing (OFDM) modulation is a good candidate for CR systems due to its flexibility in allocating resources among secondary users. In this paper, the design of a fast and efficient method for dynamically allocating subcarriers, transmit powers and bits to secondary users in a multiuser (MU) OFDM-based CR system is considered. A memetic algorithm (MA) combined with multi-local-search methods (MLS-MA) is proposed and shown to provide an improved performance over previously reported algorithms.
