skip to main content
10.1145/3349623.3361681acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
keynote

Learning from Industrial Ixperimental Research

Published: 04 October 2019 Publication History

Abstract

In recent years, we observed an increased importance of experimental and empirical work on wireless research. In this talk we will thus describe industrial testbeds and operational environments and the research that can be done on them. Specifically, we will focus on Telefonica and Samsung research providing examples on operational cellular networks, mobile edge computing testbeds, and IoT labs. We will talk about the applications we tackled in this testbeds, analytics and machine learning algorithms we developed and measurements studies. Finally, we will overview 5G testbeds as well as, other open mobile testbeds.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WiNTECH '19: Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization
October 2019
58 pages
ISBN:9781450369312
DOI:10.1145/3349623
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2019

Check for updates

Author Tags

  1. analytics
  2. machine learning
  3. mobile networks
  4. testbeds

Qualifiers

  • Keynote

Conference

MobiCom '19
Sponsor:

Acceptance Rates

Overall Acceptance Rate 63 of 100 submissions, 63%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 45
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 14 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media