6th International ICST Conference on Communications and Networking in China

Research Article

Optimal Packet Size Design for Multimedia Transmissions in Cognitive Radio Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158268,
        author={Xin-Lin Huang and Gang Wang and Fei Hu and Sunil Kumar and Ye Zhang},
        title={Optimal Packet Size Design for Multimedia Transmissions in Cognitive Radio Networks},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={3},
        keywords={cognitive radio networks multi-class traffic multi-channel communications optimal packet size limited transmission power},
        doi={10.1109/ChinaCom.2011.6158268}
    }
    
  • Xin-Lin Huang
    Gang Wang
    Fei Hu
    Sunil Kumar
    Ye Zhang
    Year: 2012
    Optimal Packet Size Design for Multimedia Transmissions in Cognitive Radio Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158268
Xin-Lin Huang1, Gang Wang1,*, Fei Hu2, Sunil Kumar3, Ye Zhang4
  • 1: Communication Research Center, Harbin Institute of Technology
  • 2: Department of Electrical and Computer Engineering, The University of Alabama
  • 3: Department of Electrical and Computer Engineering, San Diego State University
  • 4: School of Electronics and Information Engineering, Harbin Institute of Technology
*Contact email: gwang51@hit.edu.cn

Abstract

This paper proposes an optimal packet size search method for multimedia transmission over multi-channel link in multi-class cognitive radio networks. Since the transmission power is limited for users, optimal packet size and corresponding power allocation is needed to maximize expected utility function. The performance is evaluated through the comparison with power-consuming method. Since our proposed method considers not only traffic pattern but also wireless channel characteristics over frequency channel, our simulation results show that the proposed scheme is more energy efficient.