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A Physical Testbed and Open Dataset for Passive Sensing and Wireless Communication Spectrum Coexistence

Authors :
Ahmed Manavi Alam
Md Mehedi Farhad
Walaa Al-Qwider
Ali Owfi
Mohammad Koosha
Nicholas Mastronarde
Fatemeh Afghah
Vuk Marojevic
Mehmet Kurum
Ali C. Gurbuz
Source :
IEEE Access, Vol 12, Pp 131522-131540 (2024)
Publication Year :
2024
Publisher :
IEEE, 2024.

Abstract

As next-generation communication services and satellite systems expand across diverse frequency bands, there is a pressing need to use the spectrum as efficiently as possible. A possible strategy to achieve this is to facilitate the coexistence of different radio services, for example between telecommunication and microwave remote sensing systems. However, this approach could increase the risk of radio frequency interference (RFI) affecting passive microwave sensors, which are crucial for environmental and geoscience applications. Therefore, the availability of a testbed along with a dataset encompassing a diverse array of scenarios under a controlled environment is very important in order to study coexistence scenarios and reduce the risk of interference associated with them. This study presents a physical environmentally controlled testbed including a passive fully calibrated L-band radiometer with a digital back-end capable of collecting raw in-phase/quadrature (IQ) samples and an active fifth-generation (5G) wireless communication system with the capability of transmitting waveforms with advanced modulations. Various RFI situations such as in-band, transition band, and out-of-band transmission effects are quantified in terms of their effect on the measured brightness temperature. A detailed procedure and publicly accessible dataset are provided to help test the impact of wireless communication on passive sensing, enabling the scientific community to facilitate coexistence research and quantify interference effects on radiometers. This dataset includes publicly available raw radiometer and 5G communication samples along with preprocessed time-frequency representations and true brightness temperature data.

Details

Language :
English
ISSN :
21693536
Volume :
12
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.3ef5eef5146e4cbfa31840bafc3a0a8e
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2024.3453774