8th International Conference on Communications and Networking in China

Research Article

Energy-aware Cooperative Multimedia Transmission Strategy for Relay-assisted Cellular Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694716,
        author={Dan Wu and Yueming Cai and Joel Rodrigues and Rose Qingyang Hu and Yi Qian},
        title={Energy-aware Cooperative Multimedia Transmission Strategy for Relay-assisted Cellular Networks},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={multimedia communications cooperative communication game theory behavior dynamics energy aware},
        doi={10.1109/ChinaCom.2013.6694716}
    }
    
  • Dan Wu
    Yueming Cai
    Joel Rodrigues
    Rose Qingyang Hu
    Yi Qian
    Year: 2013
    Energy-aware Cooperative Multimedia Transmission Strategy for Relay-assisted Cellular Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694716
Dan Wu1,*, Yueming Cai1, Joel Rodrigues2, Rose Qingyang Hu3, Yi Qian4
  • 1: Institute of Communications Engineering, PLA University of Science and Technology, China
  • 2: University of Beira Interior, Portugal
  • 3: Department of Electrical and Computer Engineering, Utah State University, USA
  • 4: Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, USA
*Contact email: wujing1958725@126.com

Abstract

In this work, the energy-aware cooperative multimedia transmission strategy for relay-assisted cellular networks is modeled as an evolutionary game. Its advantages are to incorporate the dynamics of environment and strategy decision into the multimedia transmission process without the knowledge of complete private information of all nodes. Specifically, the replicator dynamics is applied to model the cooperation strategy selection adaptation, and the evolutionarily stable strategy (ESS) is treated as the solution. We then prove that the resulting ESS under the replicator dynamics is unique, and the dynamics can converge to the ESS. We further develop a cooperation strategy selection evolutionary algorithm based on Q-learning approach, which helps the potential relay nodes obtain the ESS solely based on their own playing observations. Moreover, we focus on a more general game in which the dynamic cooperation strategy selection with delay is modeled, and the properties of the resulting ESS are also analyzed.