Passive monitoring and geo-based prediction of mobile network vehicle-to-server communication

Josef Schmid, Philipp Heß, Alfred Höß, Björn W. Schuller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Predicting mobile network parameters while driving is a challenge. The high dynamics and the mobility of the clients lead to spontaneous changes in the communication quality. There are different known approaches to predict the throughput of such mobile network connections. The paper presents a novel overview for the performance of different geographical prediction methods based on the same dataset. To generate the dataset, a tool for monitoring a vehicle-to-server communication in a passive way is presented, too. It does not only capture high level parameters like TCP throughput and round trip times, but also mobile network parameters, like RSSI or RSRQ. In addition, the data is recorded in real-time and augmented with GPS coordinates to analyze them location-dependent.

Original languageEnglish
Title of host publication2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1483-1488
Number of pages6
ISBN (Print)9781538620700
DOIs
StatePublished - 28 Aug 2018
Externally publishedYes
Event14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 - Limassol, Cyprus
Duration: 25 Jun 201829 Jun 2018

Publication series

Name2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

Conference

Conference14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Country/TerritoryCyprus
CityLimassol
Period25/06/1829/06/18

Keywords

  • cellular network
  • connectivity map
  • passive monitoring
  • throughput prediction
  • vehicle-to-everything communication

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