CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots

Kai Xu, Rajkarn Singh, Hakan Bilen, Marco Fiore, Mahesh K. Marina, Yue Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Mobile network traffic data offers unprecedented opportunities for innovative studies within and beyond networking. However, progress is hindered by the very limited access that the research community at large has to the real-world mobile network data that is needed to develop and dependably test mobile traffic data-driven solutions. As a contribution to overcome this barrier, we propose CartaGenie, a generator of realistic mobile traffic snapshots at city scale. Taking a deep generative modeling approach and through a tailored conditional generator design, CartaGenie can synthesize high-fidelity and artifact-free spatial traffic snapshots using only contextual information about the target geographical region that is easily found in public repositories. Hence, CartaGenie allows researchers to create their own realistic datasets of spatial traffic from open data about their region of interest. Experiments with real-world mobile traffic measurements collected in multiple metropolitan areas show that CartaGenie can produce dependable network traffic loads for areas where no prior traffic information is available, significantly outperforming a comprehensive set of benchmarks. Moreover, tests with practical case studies demonstrate that the synthetic data generated by CartaGenie is as good as real data in supporting diverse research-oriented mobile traffic data-driven applications.
Original languageEnglish
Title of host publicationProceedings of The 20th International Conference on Pervasive Computing and Communications (PerCom 2022)
PublisherInstitute of Electrical and Electronics Engineers
Pages119-129
Number of pages11
ISBN (Electronic)978-1-6654-1643-6
ISBN (Print)978-1-6654-1644-3
DOIs
Publication statusPublished - 27 Apr 2022
EventThe 20th International Conference on Pervasive Computing and Communications (PerCom 2022)
- Online
Duration: 21 Mar 202225 Mar 2022
Conference number: 20

Publication series

NameIEEE International Conference on Pervasive Computing and Communications (PerCom)
PublisherIEEE
ISSN (Print)2474-2503
ISSN (Electronic)2474-249X

Conference

ConferenceThe 20th International Conference on Pervasive Computing and Communications (PerCom 2022)
Abbreviated titlePerCom 2022
Period21/03/2225/03/22

Keywords / Materials (for Non-textual outputs)

  • Mobile network traffic data
  • Traffic snapshots
  • Synthetic data generation
  • Deep generative models

Fingerprint

Dive into the research topics of 'CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots'. Together they form a unique fingerprint.

Cite this