First International Workshop on Cognitive Cooperative Communications in Heterogeneous Wireless Networks

Research Article

Cognitive Cooperative Traffic Offloading Scheme over Heterogeneous Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417581,
        author={Dantong LIU and Yue Chen and Kok Keong Chai and Laurie Cuthbert and Tiankui Zhang},
        title={Cognitive Cooperative Traffic Offloading Scheme over Heterogeneous Networks},
        proceedings={First International Workshop on Cognitive Cooperative Communications in Heterogeneous Wireless Networks},
        publisher={IEEE},
        proceedings_a={C3HETNET},
        year={2013},
        month={2},
        keywords={cognitve; cooperative; traffic offloading; heterogeneous networks},
        doi={10.1109/ChinaCom.2012.6417581}
    }
    
  • Dantong LIU
    Yue Chen
    Kok Keong Chai
    Laurie Cuthbert
    Tiankui Zhang
    Year: 2013
    Cognitive Cooperative Traffic Offloading Scheme over Heterogeneous Networks
    C3HETNET
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417581
Dantong LIU1,*, Yue Chen1, Kok Keong Chai1, Laurie Cuthbert1, Tiankui Zhang2
  • 1: Queen Mary University of London
  • 2: Beijing University of Posts and Telecommunications
*Contact email: dantongliu.bupt@gmail.com

Abstract

Traffic offloading over heterogeneous networks allows the traffic to be offloaded between networks, in order to ease the strain on the overloaded network. In this paper, a cognitive cooperative traffic offloading scheme over heterogeneous networks is proposed. In the proposed scheme, the shifted users which are offloaded from the overloaded network to the under-loaded network are treated as the secondary users (SU) for the target under-loaded network, and the users in the under-loaded network are primary users (PU). SU cooperates with PU’s transmission with a reward of access to the PU’s spectrum. More importantly, Stackelberg game is applied to optimize the strategies of both under-loaded and overloaded networks, in order to ensure both of their utilities in terms of data rate and cost are maximized. Simulation results reveal that the proposed scheme improves the utility of the overloaded network, and enhances the user satisfaction and spectrum efficiency of the under-loaded network, which indicate the traffic is effectively offloaded from overloaded network to under-loaded network and at the same time the performance of under-loaded network is improved.