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 {\em 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 {\em 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.
http://hdl.handle.net/11583/2678006
Titolo: | Cellular Network Traces Towards 5G: Usage, Analysis and Generation |
Autori: | |
Data di pubblicazione: | 2018 |
Rivista: | |
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 {\em 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 {\em 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. |
Digital Object Identifier (DOI): | 10.1109/TMC.2017.2737011 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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File | Descrizione | Tipologia | Licenza | |
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TMC_2017_Scott_PostPrint.pdf | Articolo principale | 2. Post-print | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
TMC_Traces_2017.pdf | Articolo principale | 2. Post-print | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
TMC_2018_5GTraces.pdf | Articolo principale | 2a. Post-print Versione editoriale | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |