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|Title:||Disruptive events in high-density cellular networks|
|Authors:||Keeler, Paul; Jahnel, Benedikt; Maye, Oliver; Aschenbach, Daniel; Brzozowski, Marcin|
|Published in:||Preprint / Weierstraß-Institut für Angewandte Analysis und Stochastik , Volume 2469, ISSN 2198-5855|
|Publisher:||Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik|
|Abstract:||Stochastic geometry models are used to study wireless networks, particularly cellular phone networks, but most of the research focuses on the typical user, often ignoring atypical events, which can be highly disruptive and of interest to network operators. We examine atypical events when a unexpected large proportion of users are disconnected or connected by proposing a hybrid approach based on ray launching simulation and point process theory. This work is motivated by recent results  using large deviations theory applied to the signal-to-interference ratio. This theory provides a tool for the stochastic analysis of atypical but disruptive events, particularly when the density of transmitters is high. For a section of a European city, we introduce a new stochastic model of a single network cell that uses ray launching data generated with the open source RaLaNS package, giving deterministic path loss values. We collect statistics on the fraction of (dis)connected users in the uplink, and observe that the probability of an unexpected large proportion of disconnected users decreases exponentially when the transmitter density increases. This observation implies that denser networks become more stable in the sense that the probability of the fraction of (dis)connected users deviating from its mean, is exponentially small. We also empirically obtain and illustrate the density of users for network configurations in the disruptive event, which highlights the fact that such bottleneck behaviour not only stems from too many users at the cell boundary, but also from the near-far effect of many users in the immediate vicinity of the base station. We discuss the implications of these findings and outline possible future research directions.|
|Keywords:||Atypical network configurations; large deviations; ray launching|
|License:||This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.|
Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
|Appears in Collections:||Mathematik|
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Keeler, P., Jahnel, B., Maye, O., Aschenbach, D. and Brzozowski, M. (2018) Disruptive events in high-density cellular networks. Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik. doi: https://doi.org/10.20347/WIAS.PREPRINT.2469.
Keeler, P., Jahnel, B., Maye, O., Aschenbach, D., & Brzozowski, M. (2018). Disruptive events in high-density cellular networks (Version publishedVersion). Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik. https://doi.org/https://doi.org/10.20347/WIAS.PREPRINT.2469
Keeler P, Jahnel B, Maye O, Aschenbach D, Brzozowski M. Disruptive events in high-density cellular networks. Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik; 2018. doi:https://doi.org/10.20347/WIAS.PREPRINT.2469
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