4G/LTE channel quality reference signal trace data set

Britta Meixner, Jan Willem Kleinrouweler, Pablo Cesar

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Mobile networks, especially LTE networks, are used more and more for high-bandwidth services like multimedia or video streams. The quality of the data connection plays a major role in the perceived quality of a service. Videos may be presented in a low quality or experience a lot of stalling events, when the connection is too slow to buffer the next frames for playback. So far, no publicly available data set exists that has a larger number of LTE network traces and can be used for deeper analysis. In this data set, we provide 546 traces of 5 minutes each with a sample rate of 100 ms. Thereof 377 traces are pure LTE data. We furthermore provide an Android app to gather further traces as well as R scripts to clean, sort, and analyze the data.

Original languageEnglish
Title of host publicationProceedings of the 9th ACM Multimedia Systems Conference, MMSys 2018
Place of PublicationNew York, NY , USA
PublisherAssociation for Computing Machinery (ACM)
Pages387-392
Number of pages6
ISBN (Electronic)978-1-4503-5192-8
DOIs
Publication statusPublished - 12 Jun 2018
EventMMSys 2018: 9th ACM Multimedia Systems Conference - Amsterdam, Netherlands
Duration: 12 Jun 201815 Jun 2018

Conference

ConferenceMMSys 2018: 9th ACM Multimedia Systems Conference
CountryNetherlands
CityAmsterdam
Period12/06/1815/06/18

Keywords

  • ASU
  • DBM
  • LTE data
  • Mobile phone
  • RSRP
  • RSRQ
  • Speed

Fingerprint Dive into the research topics of '4G/LTE channel quality reference signal trace data set'. Together they form a unique fingerprint.

  • Cite this

    Meixner, B., Kleinrouweler, J. W., & Cesar, P. (2018). 4G/LTE channel quality reference signal trace data set. In Proceedings of the 9th ACM Multimedia Systems Conference, MMSys 2018 (pp. 387-392). Association for Computing Machinery (ACM). https://doi.org/10.1145/3204949.3208132