March 2026 | Conference Paper

Repurposing Cellular Reference Signals: Accurate RSRP Measurements with Mobile Phones

doi: 10.1109/DySPAN60163.2024.10632813

Cite This Publication

Max Hollingsworth ORCID logoGoogle Scholar logoScopus logo, Yaguang Zhang, Todd Schumann ORCID logoGoogle Scholar logoScopus logoWeb of Science logo, Christopher R. Anderson ORCID logoGoogle Scholar logoScopus logoWeb of Science logo, Michael Cotton, Seyeon Kim, Sangtae Ha, and Dirk Grunwald

Abstract:

Reference signals in both LTE and 5G cellular networks present an untapped and abundant signal of oppor-tunity for high quality radio frequency (RF) propagation measurements. Commercial-off-the-shelf mobile phones continuously capture and report Reference Signal Received Power (RSRP) measurements, making them an easily crowdsource-able data source for RF propagation modeling in path geometries and frequencies relevant to cellular network communications. However, it remains unclear whether crowdsourced mobile phone RSRP measurements can meet the stringent accuracy requirements of measured propagation data in support of empirical model validation and improvement. This investigation details an extensive measurement campaign and analysis to quantify the variability between, and accuracy of, RSRP measurements from nine unique mobile phone models. We find that 10% of the measured RSRP variance is due to the inherent differences between phone models. We also find, that the mean RSRP accuracy of the combined phones is within ± 1.5 in the most used frequency bands, suggesting that measurements from a diversity of mobile phone models, inherent to crowdsourced measurements, can be leveraged to estimate a highly accurate mean power.

Keywords: radio frequency; mobile communications; measurement uncertainties; accuracy; cellular networks; power measurement; systematics; mobile handsets

For technical information concerning this report, contact:

Todd Schumann
Institute for Telecommunication Sciences
(720) 552-7613
tschumann@ntia.gov

For funding information concerning this report, click this link.

Performing Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Institute for Telecommunication Sciences

325 Broadway

Boulder, CO 80305

https://ror.org/00mj5bc69

Funding Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Herbert C. Hoover Building

14th and Constitution Ave., N.W.

Washington, D.C. 20230

https://ror.org/032241511

Disclaimer:

Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

For questions or information on this or any other NTIA scientific publication, contact the ITS Publications Office at ITSinfo@ntia.gov or 303-497-3572.

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