May 2022 | Conference Paper

Cellular Signals-of-Opportunity for RF Propagation Measurements with SDRs

doi: https://doi.org/10.1109/I2MTC62753.2025.11079100

Cite This Publication

Max Hollingsworth ORCID logoGoogle Scholar logoScopus logo, Prasanth Prahladan, Michael G. Cotton ORCID logoGoogle Scholar logoScopus logoWeb of Science logo, and Dirk Grunwald

Abstract:

Cell towers broadcast reference signals that mobile phones measure and report as reference signal received power (RSRP). Phones use the reference signal measurements for connectivity and handover between towers. This study explores the use of software defined radios (SDRs) for precise measurement of the power levels of these reference signals, showing them to be a rich yet untapped source for high-quality radio frequency (RF) propagation measurements. Given the widespread availability of cell towers, these signals are well-suited to generating the extensive RF channel data required by deep learning and ray-tracing models. However, questions remain about whether SDRs can achieve the level of accuracy RF researchers need for propagation model validation and enhancement. We present sdrRSRP, an open-source SDR toolset offering comprehensive, low-level control over reference signal measurements. This study shows that, with proper calibration, an SDR can deliver reference signal power measurements with an accuracy of ±3.5 dB. Additionally, we compare reference signal measurements to the continuous-waveform measurement technique commonly used by RF propagation engineers, demonstrating that the two methods yield measurements with negligible differences (< 1 dB).

Keywords: radio propagation; software defined radio (SDR); SDR; signals-of-opportunity

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. National Science Foundation

Directorate for Computer & Information Science & Engineering

Spectrum Innovation Initiative: National Center for Wireless Spectrum Research (SII-Center)

415 Eisenhower Avenue

Alexandria, VA 22314

https://ror.org/021nxhr62

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.

Back to Search Results