DatasetDataset for Spectrum Coexistence in Passive Sensing and Wireless CommunicationAlam, Ahmed_Manavi Alam; Farhad, Md_Mehedi Farhad; Al-Qwider, Walaa Al-Qwider; Owfi, Ali Owfi; Koosha, Mohammad Koosha; Mastronarde, Nicholas Mastronarde; Afghah, Fatemeh Afghah; Marojevic, Vuk Marojevic; Kurum, Mehmet_ Kurum; Gurbuz, Ali GurbuzIn our ever-expanding world of advanced satellite and communications systems, there's a growing challenge for passive radiometer sensors used in the Earth observation like 5G. These passive sensors are challenged by risks from radio frequency interference (RFI) caused by anthropogenic signals. To address this, we urgently need effective methods to quantify the impacts of 5G on Earth observing radiometers. Unfortunately, the lack of substantial datasets in the radio frequency (RF) domain, especially for active/passive coexistence, hinders progress. Our study introduces a controlled testbed featuring a calibrated L-band radiometer and a 5G wireless communication system. In a controlled chamber, this unique setup allows us to observe and quantify transmission effects across different frequency bands. By creating a comprehensive dataset, we aim to standardize and benchmark both wireless communication and passive sensing. With the ability to analyze raw measurements, our testbed facilitates RFI detection and mitigation, fostering the coexistence of wireless communication and passive sensing technologies while establishing crucial standards.IEEE DataPort2024-01-0110559320https://doi.org/10.21227/968t-td342030157; 2030291; 2030047L-band radiometer5G Mobile Communications5G New RadioCellular MeasurementsCoverage ExtensionPacket CaptureVideo StreamingWireless CommunicationsEarth observationArtificial IntelligenceBig DataDatasetMachine LearningdatasetCreative Commons Attribution 4.0 InternationalNational Science Foundation