Ecologically Inspired Load Balancing for LTE SON

Kumudu MUNASINGHE, Abbas Jamalipour

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    In an effort for reducing infrastructure configuration, operations and maintenance costs, the 3rd Generation Partnership Project (3GPP) has standardized a set of functions called Self Organizing Networks (SON) from Releases 8 onwards. Mobility Load Balancing Optimization (MLBO) is one such SON feature that has recently attracted much interest. According to 3GPP, a successful MLBO algorithm must be capable of optimizing the radio and transport network loads. Unfortunately, the existing proposals have not been able to successfully address this requirement. Therefore, for the first time, this paper proposes an MLBO algorithm fully capable of optimizing both radio and transport network loads of an eNodeB. The underlying algorithm uses an ecologically inspired graphical theory for equitable resource/load distribution in a multi-resource, multi-class environment. Optimal load levels required for the stability of the eNodeB could be accurately estimated by the proposed eco-inspired graphical theory. Analytical proof and simulation results are provided for supporting the above argument
    Original languageEnglish
    Title of host publicationIEEE 77th Vehicular Technology Conference (VTC Spring), 2013
    EditorsPeter Rost
    Place of PublicationNew York
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1-5
    Number of pages5
    ISBN (Electronic)9781467363372
    DOIs
    Publication statusPublished - 2013
    Event77th Vehicular Technology Conference (VTC 2013 Spring) - Dresden, Dresden, Germany
    Duration: 2 Jun 20135 Jun 2013

    Conference

    Conference77th Vehicular Technology Conference (VTC 2013 Spring)
    Abbreviated titleVTC 2013
    CountryGermany
    CityDresden
    Period2/06/135/06/13

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    MUNASINGHE, K., & Jamalipour, A. (2013). Ecologically Inspired Load Balancing for LTE SON. In P. Rost (Ed.), IEEE 77th Vehicular Technology Conference (VTC Spring), 2013 (pp. 1-5). New York: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VTCSpring.2013.6692529
    MUNASINGHE, Kumudu ; Jamalipour, Abbas. / Ecologically Inspired Load Balancing for LTE SON. IEEE 77th Vehicular Technology Conference (VTC Spring), 2013. editor / Peter Rost. New York : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 1-5
    @inproceedings{f380ecb8252348a68a27bb23550d9b27,
    title = "Ecologically Inspired Load Balancing for LTE SON",
    abstract = "In an effort for reducing infrastructure configuration, operations and maintenance costs, the 3rd Generation Partnership Project (3GPP) has standardized a set of functions called Self Organizing Networks (SON) from Releases 8 onwards. Mobility Load Balancing Optimization (MLBO) is one such SON feature that has recently attracted much interest. According to 3GPP, a successful MLBO algorithm must be capable of optimizing the radio and transport network loads. Unfortunately, the existing proposals have not been able to successfully address this requirement. Therefore, for the first time, this paper proposes an MLBO algorithm fully capable of optimizing both radio and transport network loads of an eNodeB. The underlying algorithm uses an ecologically inspired graphical theory for equitable resource/load distribution in a multi-resource, multi-class environment. Optimal load levels required for the stability of the eNodeB could be accurately estimated by the proposed eco-inspired graphical theory. Analytical proof and simulation results are provided for supporting the above argument",
    keywords = "LTE, SON, Resource Management",
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    }

    MUNASINGHE, K & Jamalipour, A 2013, Ecologically Inspired Load Balancing for LTE SON. in P Rost (ed.), IEEE 77th Vehicular Technology Conference (VTC Spring), 2013. IEEE, Institute of Electrical and Electronics Engineers, New York, pp. 1-5, 77th Vehicular Technology Conference (VTC 2013 Spring), Dresden, Germany, 2/06/13. https://doi.org/10.1109/VTCSpring.2013.6692529

    Ecologically Inspired Load Balancing for LTE SON. / MUNASINGHE, Kumudu; Jamalipour, Abbas.

    IEEE 77th Vehicular Technology Conference (VTC Spring), 2013. ed. / Peter Rost. New York : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 1-5.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    T1 - Ecologically Inspired Load Balancing for LTE SON

    AU - MUNASINGHE, Kumudu

    AU - Jamalipour, Abbas

    PY - 2013

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    N2 - In an effort for reducing infrastructure configuration, operations and maintenance costs, the 3rd Generation Partnership Project (3GPP) has standardized a set of functions called Self Organizing Networks (SON) from Releases 8 onwards. Mobility Load Balancing Optimization (MLBO) is one such SON feature that has recently attracted much interest. According to 3GPP, a successful MLBO algorithm must be capable of optimizing the radio and transport network loads. Unfortunately, the existing proposals have not been able to successfully address this requirement. Therefore, for the first time, this paper proposes an MLBO algorithm fully capable of optimizing both radio and transport network loads of an eNodeB. The underlying algorithm uses an ecologically inspired graphical theory for equitable resource/load distribution in a multi-resource, multi-class environment. Optimal load levels required for the stability of the eNodeB could be accurately estimated by the proposed eco-inspired graphical theory. Analytical proof and simulation results are provided for supporting the above argument

    AB - In an effort for reducing infrastructure configuration, operations and maintenance costs, the 3rd Generation Partnership Project (3GPP) has standardized a set of functions called Self Organizing Networks (SON) from Releases 8 onwards. Mobility Load Balancing Optimization (MLBO) is one such SON feature that has recently attracted much interest. According to 3GPP, a successful MLBO algorithm must be capable of optimizing the radio and transport network loads. Unfortunately, the existing proposals have not been able to successfully address this requirement. Therefore, for the first time, this paper proposes an MLBO algorithm fully capable of optimizing both radio and transport network loads of an eNodeB. The underlying algorithm uses an ecologically inspired graphical theory for equitable resource/load distribution in a multi-resource, multi-class environment. Optimal load levels required for the stability of the eNodeB could be accurately estimated by the proposed eco-inspired graphical theory. Analytical proof and simulation results are provided for supporting the above argument

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    MUNASINGHE K, Jamalipour A. Ecologically Inspired Load Balancing for LTE SON. In Rost P, editor, IEEE 77th Vehicular Technology Conference (VTC Spring), 2013. New York: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 1-5 https://doi.org/10.1109/VTCSpring.2013.6692529