CRAWDAD srfg/lte-4g-highway-drive-tests-salzburg

Citation Author(s):
Stefan
Farthofer
Matthias
Herlich
Christian
Maier
Sabrina
Pochaba
Julia
Lackner
Peter
Dorfinger
Submitted by:
CRAWDAD Team
Last updated:
Thu, 01/13/2022 - 08:00
DOI:
10.15783/6gc4-y070
Data Format:
License:
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Abstract 

4G LTE long-term mobile communications drive test data set. DOI: https://doi.org/10.15783/6gc4-y070

A data set of active 4G LTE measurements via repeated drive tests that covers two years on a typical highway section of 25km length in Austria and contains 267198 data points in total. Each data point includes signal quality metrics, GPS position, GPS time, and instantaneous data rate.

institution :

Salzbury Research (SRFG)

version :

2022-01-18

external url :

https://github.com/mherlich/wireless-data-set

Traceset

drive-tests-traceset

  • files: SRFG-v1.csv
  • description: 4G LTE long-term mobile communications drive test traceset
  • tech description: A traceset of active 4G LTE measurements via repeated drive tests that covers two years on a typical highway section of 25km length in Austria and contains 267198 data points in total. Each data point includes signal quality metrics, GPS position, GPS time, and instantaneous data rate.
  • collection method: Custom-built Raspberry Pi~2 based measurement equipment is used to conduct a controlled drive test measurement campaign. Each Raspberry Pi is equipped with the same Huawei E3372 LTE network interface that provides the Huawei HiLink API for signal parameter monitoring. The measurement equipment constantly exchanges data at full load. Five TCP flows with 100MB HTTP traffic each are simultaneously transmitted and continuously restarted once a download is complete. Then, the data rate is monitored for each flow and averaged over 1 second. The overall data rate is the sum of the individual flow data rates. In addition, a GPS module simultaneously records the geographical position and the time. The Huawei HiLink API is used to monitor the signal parameters that are provided by the LTE network interface in a 1 second interval.
  • methodology limitations: The drive test measurements are derived from organized measurement drives without much privacy concerns and private drives where the vehicle was previously equipped with the measurement equipment (identififying data is removed in the trace set). Often the drive tests are conducted during rush hour when high cell loads are expected. But overall, conceptually there is no strict measurement schedule and there are drive tests at all times of day and during most of the year. Due to the absence of strict measurement scheduling the data points are not uniformly distributed over the year; especially during the summer months August and September there are fewer data points. Nonetheless, for each month there is a minimum of 2000 data points. Over the 2 year collection period the network infrastructure is not static, for example, new cells are installed or removed by the network operator. Due to this fact--and possible behavioral changes in the network users over the two year period--some network metrics significantly change as well. This traceset is not representative for general use of cellular networks. This traceset is, for example, based on commuting travel patterns, which might not be generally representative and gender-neutral.
  • sanitization: The drive test measurements are both sourced from organized measurement drives without much privacy concerns and private drives where the vehicle was previously equipped with the measurement system. To eliminate the possibility to create general movement profiles the traceset is restricted to a fixed geographical region. All identifying data, like measurement ids, is removed.
  • dataname: drive-tests-traceset
  • version: 2022-01-18
  • date/time of measurement start: 2018-01-01
  • date/time of measurement end: 2019-12-31

drive-tests-traceset Traces

    • SRFG-v1.csv: undefined
  • last modified: 2022-01-13
  • dataname: SRFG-v1.csv
  • url: /download/srfg/lte-4g-highway-drive-tests-salzburg/2022-01-18/drive-tests-traceset/SRFG-v1.csv
Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Stefan Farthofer, Matthias Herlich, Christian Maier, Sabrina Pochaba, Julia Lackner, Peter Dorfinger, CRAWDAD dataset srfg/lte‑4g‑highway‑drive‑tests‑salzburg (v. 2022‑01‑18), traceset: drive‑tests‑traceset, 

https://doi.org/10.15783/6gc4-y070, Jan 2022.

 

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These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

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