A deep learning approach for location independent throughput prediction

Josef Schmid, Mathias Schneider, Alfred Hoß, Bjorn Schuller

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

16 Scopus citations

Abstract

Mobile communication has become a part of everyday life and is considered to support reliability and safety in traffic use cases such as conditionally automated driving. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is still a challenging task while on the move. Whereas most approaches in this research field rely on historical data measurements, mapped to the corresponding coordinates in the area of interest, this paper proposes a throughput prediction method that focuses on a location independent approach. In order to compensate the missing positioning information, mainly used for spatial clustering, our model uses low-level mobile network parameters, improved by additional feature engineering to retrieve abstracted location information, e. g., surrounding building size and street type. Thus, the major advantage of our method is the applicability to new regions without the prerequisite of conducting an extensive measurement campaign in advance. Therefore, we embed analysis results for underlying temporal relations in the design of different deep neuronal network types. Finally, model performances are evaluated and compared to traditional models, such as the support vector or random forest regression, which were harnessed in previous investigations.

Original languageEnglish
Title of host publication2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728101422
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Graz, Austria
Duration: 4 Nov 20198 Nov 2019

Publication series

Name2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings

Conference

Conference8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019
Country/TerritoryAustria
CityGraz
Period4/11/198/11/19

Keywords

  • Cellular network
  • Deep learning
  • Throughput prediction

Fingerprint

Dive into the research topics of 'A deep learning approach for location independent throughput prediction'. Together they form a unique fingerprint.

Cite this