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

Published: 12 June 2018 Publication History

Abstract

In 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, G-NetTrack 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.

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cover image ACM Conferences
MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference
June 2018
604 pages
ISBN:9781450351928
DOI:10.1145/3204949
  • General Chair:
  • Pablo Cesar,
  • Program Chairs:
  • Michael Zink,
  • Niall Murray
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 June 2018

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Author Tags

  1. 4G
  2. LTE
  3. adaptive video streaming
  4. context information
  5. dataset
  6. mobility
  7. ns-3
  8. throughput

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  • Research-article

Funding Sources

  • Science Foundation Ireland

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MMSys '18
Sponsor:
MMSys '18: 9th ACM Multimedia Systems Conference
June 12 - 15, 2018
Amsterdam, Netherlands

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Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

View all
  • (2024)MEDUSA: A Dynamic Codec Switching Approach in HTTP Adaptive StreamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365617520:10(1-23)Online publication date: 12-Sep-2024
  • (2024)SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video StreamingProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672260(613-644)Online publication date: 4-Aug-2024
  • (2024)MATURE: Multistage Throughput Prediction for Adaptive Video Streaming in Cellular NetworksProceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video10.1145/3651863.3651878(15-21)Online publication date: 15-Apr-2024
  • (2024)DashReStreamer: Framework for Creation of Impaired Video Clips under Realistic Network ConditionsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3640016Online publication date: 9-Jan-2024
  • (2024)QV4Proceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3647619(144-154)Online publication date: 15-Apr-2024
  • (2024)WIP: An Open Data Set about Multi-Provider Redundancy in Cellular Networks2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM60985.2024.00063(359-362)Online publication date: 4-Jun-2024
  • (2024)A Kalman Filter Based Low Complexity Throughput Prediction Algorithm for 5G Cellular NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.333964973:5(7089-7101)Online publication date: May-2024
  • (2024)FHVAC: Feature-Level Hybrid Video Adaptive Configuration for Machine-Centric Live StreamingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.337204635:5(780-795)Online publication date: May-2024
  • (2024)ALIVE: A Latency- and Cost-Aware Hybrid P2P-CDN Framework for Live Video StreamingIEEE Transactions on Network and Service Management10.1109/TNSM.2023.333519021:2(1561-1580)Online publication date: Apr-2024
  • (2024)Delay-Optimized Multi-User VR Streaming via End-Edge Collaborative Neural Frame InterpolationIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.329651111:1(284-298)Online publication date: Jan-2024
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