ChinaCom2008-Wireless Communications and Networking Symposium

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
Dong Huang1,*, Chunyan Miao1,*, Cyril Leung2,*
  • 1: School of Computer Engineering Nanyang Technological University Singapore 639798
  • 2: Department of Electrical and Computer Engineering University of British Columbia Vancouver, BC Canada V6T 1Z4
*Contact email: hu0013ng@ntu.edu.sg, ascymiao@ntu.edu.sg, cleung@ece.ubc.ca

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.