Terrestrial Radio Propagation Research Datasets Repository

Terrestrial Radio Propagation (TRP) involves radio wave propagation from one station to another over the surface of the earth. Radio communication systems have been deployed for broadcasting, mobile cellular, and public safety. Radio propagation planning plays a crucial role in designing and deployi...

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Published in:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS) Vol. 1; pp. 1 - 6
Main Authors: Adewole, Kayode S., Olagunju, Hawau, Faruk, Nasir, Imoize, Agbotiname Lucky, Alozie, Emmanuel, Sowande, Olugbenga A., Abdulkarim, Abubakar, Usman, Aliyu D., Olayinka Imam-Fulani, Yusuf, Oloyede, Abdulkarim A., Garba, Salisu, Baba, Bashir Abdullahi, Musa, Abdulwaheed, Adediran, Yinusa A., Taura, Lawan S.
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2023
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Summary:Terrestrial Radio Propagation (TRP) involves radio wave propagation from one station to another over the surface of the earth. Radio communication systems have been deployed for broadcasting, mobile cellular, and public safety. Radio propagation planning plays a crucial role in designing and deploying terrestrial radio networks. Radio propagation models (Path loss Models) are utilized during the link budget, coverage, and interference estimations. The models guide radio network engineers in choosing appropriate placements of radio network equipment, such as the base stations. However, the high cost attributed to TRP data collection, lack of open access, and accurate TRP datasets hinders the development of path loss models that can reliably predict outcomes for different use cases. To address this problem, this paper aims to present a robust TRP repository that provides a platform for hosting and disseminating TRP datasets, which the research community could use for path loss modeling. The repository was implemented using the latest technologies, and its performance was evaluated. The system has been deployed for public access.
DOI:10.1109/ICMEAS58693.2023.10379372