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Cellular network traces towards 5G: Usage, analysis and generation

  • Francesco Malandrino*
  • , Carla Fabiana Chiasserini
  • , Scott Kirkpatrick
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Deployment and demand traces are a crucial tool to study today's LTE systems, as well as their evolution toward 5G. In this paper, we use a set of real-world, crowdsourced traces, coming from the WeFi and OpenSignal apps, to investigate how present-day networks are deployed, and the load they serve. Given this information, we present a way to generate synthetic deployment and demand profiles, retaining the same features of their real-world counterparts. We further discuss a methodology using traces (both real-world and synthetic) to assess (i) to which extent the current deployment is adequate to the current and future demand, and (ii) the effectiveness of the existing strategies to improve network capacity. Applying our methodology to real-world traces, we find that present-day LTE deployments consist of multiple, entangled, medium-to large-sized cells. Furthermore, although today's LTE networks are overprovisioned when compared to the present traffic demand, they will need substantial capacity improvements in order to face the load increase foreacasted between now and 2020.

Original languageEnglish
Article numberA2621
Pages (from-to)529-542
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume17
Issue number3
DOIs
StatePublished - 9 Aug 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Keywords

  • Cellular network traces
  • Computer networks
  • LTE

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