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Cells Interrelation in Mobile Networks

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Computer Networks (CN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1039))

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Abstract

To better optimize a mobile network, it’s useful to have knowledge about the movement of users in the network. This can relatively easily be done via sending GPS coordinates calculated in a mobile terminal to network. However, this approach is, first of all, quite energy demanding, and secondly user dependent, as a user has to pose a mobile terminal supporting GPS and has to allow the usage of GPS. Another possibility is to make use of signaling data which is an essential and integral part of mobile network operations, plus it’s more or less user independent. By combining the signaling data together with the network coverage map, we can estimate users’ movements in the network. In this paper, we focus on cells interrelation in a network coverage map. We present a simplified cell graphical representation, using a so-called cell-vector, and we analyze the possible use of cell-vector position scenarios to predict whether a pair of cells are neighboring each other or not.

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Notes

  1. 1.

    An open platform that provides approximated and semantically enriched mobile network and WiFi access point topology data. http://www.openmobilenetwork.org.

  2. 2.

    Please notice that vector quantities are written in bold (i.e. \(\mathbf r =\overrightarrow{r}\)).

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Acknowledgments

This research work was supported by the Grant Agency of the Czech Technical University in Prague, grant no. SGS18/181/OHK3/3T/13.

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Correspondence to Iyad Khuder .

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Khuder, I., Bestak, R. (2019). Cells Interrelation in Mobile Networks. In: Gaj, P., Sawicki, M., Kwiecień, A. (eds) Computer Networks. CN 2019. Communications in Computer and Information Science, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-21952-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-21952-9_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21951-2

  • Online ISBN: 978-3-030-21952-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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