Fifth International Conference on Simulation Tools and Techniques

Research Article

Using OMNeT++ for Energy Optimization Simulations in Mobile Core Networks

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  • @INPROCEEDINGS{10.4108/icst.simutools.2012.247676,
        author={Martin Dr\aa{}xler and Frederic Beister and Stephan Kruska and J\o{}rg Aelken and Holger Karl},
        title={Using OMNeT++ for Energy Optimization Simulations in Mobile Core Networks},
        proceedings={Fifth International Conference on Simulation Tools and Techniques},
        publisher={ICST},
        proceedings_a={SIMUTOOLS},
        year={2012},
        month={6},
        keywords={omnet++ power model energy consumption mobile core network mobile access network},
        doi={10.4108/icst.simutools.2012.247676}
    }
    
  • Martin Dräxler
    Frederic Beister
    Stephan Kruska
    Jörg Aelken
    Holger Karl
    Year: 2012
    Using OMNeT++ for Energy Optimization Simulations in Mobile Core Networks
    SIMUTOOLS
    ICST
    DOI: 10.4108/icst.simutools.2012.247676
Martin Dräxler1,*, Frederic Beister1, Stephan Kruska2, Jörg Aelken2, Holger Karl1
  • 1: University of Paderborn
  • 2: Ericsson GmbH Eurolab R&D
*Contact email: martin.draexler@uni-paderborn.de

Abstract

Optimizing energy consumption in mobile core networks is one of the major challenges towards a greener, less energy consuming mobile network infrastructure. We developed a simulation model for mobile core networks which is able to handle large-scale scenarios including millions of users and the corresponding amount of network infrastructure and mobile core service nodes. It can be used to assess the impact of local and global optimization strategies in routing and power management. Since it encompasses multiple system levels, it is also possible to assess synergies of optimization done at different levels. To achieve reasonable performance, our OMNeT++-based simulator uses a flow-based traffic model instead of simulating individual packets. The simulator also includes a flexible power model that can describe the power consumption of atomic as well as modular devices. It can be populated with device datasheets and measurements from real-world devices. This allows realistic energy measurements on different levels of granularity, ranging from entire sites down to individual line cards.