Beyond throughput: a 4G LTE dataset with channel and context metrics

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dc.contributor.authorRaca, Darijo
dc.contributor.authorQuinlan, Jason J.
dc.contributor.authorZahran, Ahmed H.
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2018-07-02T11:37:51Z
dc.date.available2018-07-02T11:37:51Z
dc.date.issued2018-06
dc.date.updated2018-07-02T11:31:25Z
dc.description.abstractIn this paper, we present a 4G trace dataset composed of client-side cellular key performance indicators (KPIs) collected from two major Irish mobile operators, across different mobility patterns (static, pedestrian, car, bus and train). The 4G trace dataset contains 135 traces, with an average duration of fifteen minutes per trace, with viewable throughput ranging from 0 to 173 Mbit/s at a granularity of one sample per second. Our traces are generated from a well-known non-rooted Android network monitoring application, GNetTrack Pro. This tool enables capturing various channel related KPIs, context-related metrics, downlink and uplink throughput, and also cell-related information. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 4G networks. To supplement our real-time 4G production network dataset, we also provide a synthetic dataset generated from a large-scale 4G ns-3 simulation that includes one hundred users randomly scattered across a seven-cell cluster. The purpose of this dataset is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the eNodeB environment and scheduling principle, to end user. In addition to this dataset, we also provide the code and context information to allow other researchers to generate their own synthetic datasets.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRaca, D., Quinlan, J. J., Zahran, A. H. and Sreenan, C. J. (2018) 'Beyond Throughput: a 4G LTE Dataset with Channel and Context Metrics', Proceedings of ACM Multimedia Systems Conference (MMSys 2018), Amsterdam, The Netherlands, 12-15 June. doi: 10.1145/3204949.3208123en
dc.identifier.doi10.1145/3204949.3208123
dc.identifier.endpage6en
dc.identifier.journaltitleProceedings of ACM Multimedia Systems Conference (MMSys 2018)en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/6400
dc.language.isoenen
dc.publisherAssociation for Computing Machinery, ACMen
dc.relation.ispartofProceedings of ACM Multimedia Systems Conference (MMSys 2018)
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/en
dc.relation.urihttp://www.mmsys2018.org
dc.rights© 2018 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution.en
dc.subjectDataseten
dc.subject4Gen
dc.subjectLTEen
dc.subjectns-3en
dc.subjectMobilityen
dc.subjectThroughputen
dc.subjectContext informationen
dc.subjectAdaptive video streamingen
dc.subjectInformation systemsen
dc.subjectMultimedia streamingen
dc.subjectNetworksen
dc.subjectPublic interneten
dc.subjectWireless access networksen
dc.subjectNetwork measurementen
dc.titleBeyond throughput: a 4G LTE dataset with channel and context metricsen
dc.typeConference itemen
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