MEDUSA

MEDUSA: Mid-band Environmental sensing capability for Detecting incUmbents during Spectrum shAring

This is a project awarded under National Science Foundation SWIFT Program (Nov 2022 - Oct 2025)

Project mission

Freeing up spectrum resources in the mid-band offers unprecedented opportunity to harness desirable frequencies for commercial 5G operators and for unlicensed use, although higher priority incumbents need to be reliably detected. As an example, the requirement of detecting naval ship-borne radar signals by the environmental sensing capability (ESC) sensors in the 3.55-3.7GHz Citizens Broadband Radio Service (CBRS) band severely limits the transmission power for 5G operators. Many unsolved challenges related to the timely detection of high-powered, mobile airborne and ground-radar have unfortunately stymied the opening of the remaining 3.1-3.55GHz band. The goal of this project called MEDUSA: Mid-band Environmental sensing capability for Detecting incUmbents during Spectrum shAring is to detect the presence of static/mobile radar and anomalous transmissions within concurrent and comparatively higher power 5G and 4G-LTE signals.It achieves this through machine learning (reacting to existing interference) and receiver antenna design (proactively avoiding interference).

Link to NSF website

Conference Publication

N. Soltani*, V. Chaudhury*, D. Roy, and K. R. Chowdhury, "Finding Waldo in the CBRS Band: Signal Detection and Localization in the 3.5 GHz Spectrum", In IEEE Global Communications Conference (GLOBECOM), Dec 2022.

Conference Publication

M. H. Rahman, G. Singh, and D. Roy, "Speclearn: Spectrum Learning in Shared Band under Extreme Noise Conditions," In IEEE International Symposium on Dynamic Spectrum Access Networks, May 2024.

Conference Publication

R. Hazari, G. Singh, D. Renjith, D. Krishnan, Pavanitha B, H. Olufowobi, D. Roy, "“Spec-SCAN: Spectrum Learning in Shared Channel using Neural Networks," In IEEE Consumer Communications & Networking Conference (CCNC) Workshop, 2025.

Conference Presentation

R. Agasti, S. Roach, M.Kelsoe, and J.E. Ruyle, “Design of an Additively Manufactured Filtenna with Enhanced Spectrum Sensing and Noise Mitigation Capabilities” in Proceedings of 2024 Allerton Antenna Applications Symposium, September 2024.

Journal Publication

G. Reus-Muns, P. Upadhyay, U. Demir, N. Stephenson, N. Soltani, V. Shah, K. R. Chowdhury "SenseORAN: O-RAN based Radar Detection in the CBRS Band," in IEEE Journal on Selected Areas in Communications, doi: 10.1109/JSAC.2023.3336152.

Conference Presentation

R. Agasti, E. Kim, C. C. Onwuchekwa, S. Azizi, J.E. Ruyle, and M. Rahaim, "Implementation of Software-Defined Antenna and Radio Test System for Congested Spectral Environments" in Proceedings of 13th GNU Radio Conference, September 2023.

Questions?

Contact [debashri.roy@uta.edu] to get more information about the project

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