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LTE Load Balancing with Tx Power Adjustment and the Real Life Mobility Model

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Computer Networks (CN 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 860))

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Abstract

The load balancing in the LTE and LTE-A networks allows usage of the radio resources more effectively to improve client satisfaction. The paper provides analysis of the influence of complex user mobility patterns on the load balancing algorithm. The simulation models are used to evaluate the number of unsatisfied clients depending on the mobility model used. Two mobility models are used: RLMM and Random Waypoint. The Tx Power Adjustment method is evaluated, which is based on reconfiguration of a LTE eNodeB TX Power and was proposed by authors in their previous papers. Method proved to be effective and fairly easy in implementation, and the evaluation through series of simulation shown up to 50% rise in clients satisfaction with upholding the total network efficiency.

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Authors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Science, Bałtycka 5, 44-100, Gliwice, Poland

    Konrad Połys, Krzysztof Grochla & Michał Gorawski

Authors
  1. Konrad Połys
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  2. Krzysztof Grochla
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  3. Michał Gorawski
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Corresponding author

Correspondence to Konrad Połys .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Michał Sawicki

  3. University of Opole, Opole, Poland

    Grażyna Suchacka

  4. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

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Połys, K., Grochla, K., Gorawski, M. (2018). LTE Load Balancing with Tx Power Adjustment and the Real Life Mobility Model. In: Gaj, P., Sawicki, M., Suchacka, G., Kwiecień, A. (eds) Computer Networks. CN 2018. Communications in Computer and Information Science, vol 860. Springer, Cham. https://doi.org/10.1007/978-3-319-92459-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-92459-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92458-8

  • Online ISBN: 978-3-319-92459-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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