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)
Number of pages6
ISBN (Electronic)978-1-4503-5192-8
Publication statusPublished - 12 Jun 2018
EventMMSys 2018: 9th ACM Multimedia Systems Conference - Amsterdam, Netherlands
Duration: 12 Jun 201815 Jun 2018


ConferenceMMSys 2018: 9th ACM Multimedia Systems Conference

    Research areas

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

ID: 46298437