Mobile Networks and Management. 8th International Conference, MONAMI 2016, Abu Dhabi, United Arab Emirates, October 23-24, 2016, Revised Selected Papers

Research Article

Generic Wireless Network System Modeler:

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  • @INPROCEEDINGS{10.1007/978-3-319-52712-3_10,
        author={Luis Diez and Sergio Izuel and Ram\^{o}n Ag\'{y}ero},
        title={Generic Wireless Network System Modeler:},
        proceedings={Mobile Networks and Management. 8th International Conference, MONAMI 2016, Abu Dhabi, United Arab Emirates, October 23-24, 2016, Revised Selected Papers},
        proceedings_a={MONAMI},
        year={2017},
        month={1},
        keywords={Network modeling Simulation LTE/LTE-A},
        doi={10.1007/978-3-319-52712-3_10}
    }
    
  • Luis Diez
    Sergio Izuel
    Ramón Agüero
    Year: 2017
    Generic Wireless Network System Modeler:
    MONAMI
    Springer
    DOI: 10.1007/978-3-319-52712-3_10
Luis Diez1,*, Sergio Izuel1,*, Ramón Agüero1,*
  • 1: University of Cantabria
*Contact email: ldiez@tlmat.unican.es, sergio.izuel@alumnos.unican.es, ramon@tlmat.unican.es

Abstract

Despite the huge research effort in the field of LTE networks, there is not a widely accepted methodology to conduct the corresponding analysis. Various approaches and tools are used, each of them having several advantages, but showing some drawbacks as well. One of the most limiting aspects is that they are not usually able to cope with network deployments having a large number of elements, as it would be in dense Heterogeneous Networks (HetNets). In other cases, they do not usually pay too much attention to the requirements that different types of services might have, overusing the so-called approach. In this paper we introduce the Generic Wireless Network System Modeler (GWNSyM), a flexible framework that allows the deployment of rather complex networks, which can be exploited to analyze a wide range of resource management techniques, solutions and, even, novel architectural approaches. The tool is validated over a high-dense network deployment, embracing different types of cells, users and services. Over such scenario, we assess the performance of CoMP techniques and we leverage the Network Virtualization Function paradigm.