Ecologically Inspired Load Balancing for LTE SON

Kumudu MUNASINGHE, Abbas Jamalipour

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)


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
Number of pages5
ISBN (Electronic)9781467363372
Publication statusPublished - 2013
Event77th Vehicular Technology Conference (VTC 2013 Spring) - Dresden, Dresden, Germany
Duration: 2 Jun 20135 Jun 2013


Conference77th Vehicular Technology Conference (VTC 2013 Spring)
Abbreviated titleVTC 2013


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