A distributed ADMM approach for mobile data offloading in software defined network

Lanchao Liu, Xianfu Chen, Mehdi Bennis, Guoliang Xue, Zhu Han

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    12 Citations (Scopus)

    Abstract

    Mobile data offloading has been introduced to alleviate the congestion of cellular networks and to improve the quality of service for mobile end users. This paper presents a distributed mechanism for mobile data offloading in software defined network (SDN) at the network edge. In SDN, the data traffic of base stations (BSs) can be dynamically offloaded to access points (APs), which is enabled by the SDN controller. The SDN controller formulates a revenue maximization problem to optimize the data offloading decision, and solves the problem in a fully distributed fashion. The proposed mechanism is based on the proximal Jacobian multi-block alternating direction method of multipliers (ADMM). BSs and APs perform the offloading decision update concurrently, and are coordinated by the SDN controller through dual variables to reach a consensus on the offloading demand and supply. Numerical simulations validate the effectiveness of the proposed algorithm.
    Original languageEnglish
    Title of host publication2015 IEEE Wireless Communications and Networking Conference (WCNC)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages1748-1752
    ISBN (Electronic)978-1-4799-8406-0
    DOIs
    Publication statusPublished - 18 Jun 2015
    MoE publication typeA4 Article in a conference publication
    EventIEEE Wireless Communications and Networking Conference, WCNC 2015 - New Orleans, United States
    Duration: 9 Mar 201512 Mar 2015

    Conference

    ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2015
    Abbreviated titleWCNC 2015
    CountryUnited States
    CityNew Orleans
    Period9/03/1512/03/15

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    Base stations
    Controllers
    Quality of service
    Computer simulation

    Keywords

    • mobile communication
    • mobile computing
    • optimization
    • jacobian matrices
    • wireless networks
    • distributed databases
    • conferences

    Cite this

    Liu, L., Chen, X., Bennis, M., Xue, G., & Han, Z. (2015). A distributed ADMM approach for mobile data offloading in software defined network. In 2015 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1748-1752). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WCNC.2015.7127732
    Liu, Lanchao ; Chen, Xianfu ; Bennis, Mehdi ; Xue, Guoliang ; Han, Zhu. / A distributed ADMM approach for mobile data offloading in software defined network. 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers , 2015. pp. 1748-1752
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    title = "A distributed ADMM approach for mobile data offloading in software defined network",
    abstract = "Mobile data offloading has been introduced to alleviate the congestion of cellular networks and to improve the quality of service for mobile end users. This paper presents a distributed mechanism for mobile data offloading in software defined network (SDN) at the network edge. In SDN, the data traffic of base stations (BSs) can be dynamically offloaded to access points (APs), which is enabled by the SDN controller. The SDN controller formulates a revenue maximization problem to optimize the data offloading decision, and solves the problem in a fully distributed fashion. The proposed mechanism is based on the proximal Jacobian multi-block alternating direction method of multipliers (ADMM). BSs and APs perform the offloading decision update concurrently, and are coordinated by the SDN controller through dual variables to reach a consensus on the offloading demand and supply. Numerical simulations validate the effectiveness of the proposed algorithm.",
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    author = "Lanchao Liu and Xianfu Chen and Mehdi Bennis and Guoliang Xue and Zhu Han",
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    Liu, L, Chen, X, Bennis, M, Xue, G & Han, Z 2015, A distributed ADMM approach for mobile data offloading in software defined network. in 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers , pp. 1748-1752, IEEE Wireless Communications and Networking Conference, WCNC 2015, New Orleans, United States, 9/03/15. https://doi.org/10.1109/WCNC.2015.7127732

    A distributed ADMM approach for mobile data offloading in software defined network. / Liu, Lanchao; Chen, Xianfu; Bennis, Mehdi; Xue, Guoliang; Han, Zhu.

    2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers , 2015. p. 1748-1752.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    AU - Han, Zhu

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    AB - Mobile data offloading has been introduced to alleviate the congestion of cellular networks and to improve the quality of service for mobile end users. This paper presents a distributed mechanism for mobile data offloading in software defined network (SDN) at the network edge. In SDN, the data traffic of base stations (BSs) can be dynamically offloaded to access points (APs), which is enabled by the SDN controller. The SDN controller formulates a revenue maximization problem to optimize the data offloading decision, and solves the problem in a fully distributed fashion. The proposed mechanism is based on the proximal Jacobian multi-block alternating direction method of multipliers (ADMM). BSs and APs perform the offloading decision update concurrently, and are coordinated by the SDN controller through dual variables to reach a consensus on the offloading demand and supply. Numerical simulations validate the effectiveness of the proposed algorithm.

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    Liu L, Chen X, Bennis M, Xue G, Han Z. A distributed ADMM approach for mobile data offloading in software defined network. In 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Institute of Electrical and Electronic Engineers . 2015. p. 1748-1752 https://doi.org/10.1109/WCNC.2015.7127732