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 language | English |
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Title of host publication | Proceedings of the 9th ACM Multimedia Systems Conference, MMSys 2018 |
Place of Publication | New York, NY , USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 387-392 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4503-5192-8 |
DOIs | |
Publication status | Published - 12 Jun 2018 |
Event | MMSys 2018: 9th ACM Multimedia Systems Conference - Amsterdam, Netherlands Duration: 12 Jun 2018 → 15 Jun 2018 |
Conference
Conference | MMSys 2018: 9th ACM Multimedia Systems Conference |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 12/06/18 → 15/06/18 |
Keywords
- ASU
- DBM
- LTE data
- Mobile phone
- RSRP
- RSRQ
- Speed