A network graph approach for network energy saving in small cell networks

Tao Chen, Xianfu Chen, Roberto Riggio

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


    Small cell networks are key components in 5G networks to boost the network capacity, improve spectrum and energy efficiency, and enable flexible and new services. Due to the flexible spectrum access among and flexible deployment of small cells, the inter- cell coordination becomes critical for the performance of the network. In this paper, based on the key concept in software defined networking (SDN) for Internet, we first introduce the network graph approach as a tool for the control and coordination among small cells. The network graph is constructed from the abstracted network state information extracted from underlying base stations. It shields the logical centralized control unit from implementation details of the underlying physical layer and thus reduces the control overhead in a centralized solution. We use the network graph for network energy saving in small cell networks, in which network graphs are used to decide the optimal set of small cells in the network. For cells outside this set we can switch them off for energy saving. We propose three types of network graphs with different network state details. Based on these graphs, we formulate the energy saving problem as an integer linear programming (ILP) problem, and propose the practical algorithms to solve the problem. The performance of the algorithms are studied by simulation. It shows the potential of the proposed network graph approach for the inter-cell resource coordination in small cell networks.
    Original languageEnglish
    Title of host publication2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages6
    ISBN (Electronic)978-1-5090-1698-3
    ISBN (Print)978-1-5090-1699-0
    Publication statusPublished - 2016
    MoE publication typeA4 Article in a conference publication
    EventIEEE Vehicular Technology Conference - Nanjing, China
    Duration: 15 May 201618 May 2016
    Conference number: 83


    ConferenceIEEE Vehicular Technology Conference
    Abbreviated titleVTC Spring


    • cells
    • energy conservation
    • energy efficiency
    • inductive logic programming (ILP)
    • integer programming
    • network layers
    • problem solving
    • centralized control
    • energy-saving problems
    • integer linear programming
    • inter-cell coordinations
    • network state information
    • resource coordinations
    • small cell networks
    • software defined networking (SDN)


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