Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

A Semi-distributed Network Selection Scheme in Heterogeneous Wireless Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_29,
        author={Juan Fan and Sihai Zhang and Wuyang Zhou},
        title={A Semi-distributed Network Selection Scheme in Heterogeneous Wireless Networks},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={heterogeneous wireless networks semi-distributed access network selection fuzzy neural network},
        doi={10.1007/978-3-642-30493-4_29}
    }
    
  • Juan Fan
    Sihai Zhang
    Wuyang Zhou
    Year: 2012
    A Semi-distributed Network Selection Scheme in Heterogeneous Wireless Networks
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_29
Juan Fan1,*, Sihai Zhang,*, Wuyang Zhou1,*
  • 1: University of Science and Technology of China
*Contact email: rosa144@mail.ustc.edu.cn, shzhang@ustc.edu.cn, wyzhou@ustc.edu.cn

Abstract

Joint radio resource management (JRRM) mechanism helps to optimize the radio resource usage of heterogeneous wireless networks but the introduction of central new entity which manages the information of all networks in JRRM may require unbearable change to current network architecture. Aiming at easily integrating with existing and forthcoming heterogeneous wireless networks, this paper proposes a semi-distributed scheme without centralized entity, in which user terminal make decision on network selection through fuzzy neural network method based on local information and the selected network finishes the admission control to user terminal according to its actual resource condition. Our scheme is verified by the simulation in the UMTS/WLAN scenario and can effectively balance the load between the UMTS/WLAN networks while maintaining the level of blocking probability compared to traditional distributed WLAN-prefer algorithm.