Maritme Dataset - 6G-NTN
Contributors
Description
Real-world open datasets play a pivotal role in the development of AI models addressing radio control optimization problems. As a matter of fact, acquiring suitable datasets can be arduous. Therefore, this dataset is part of the ones identified in by (https://doi.org/10.1109/FNWF58287.2023.10520488) which pertinent to real-world open datasets representing realistic traffic pattern, network performances and demand for fixed and dynamic user terminals, enabling a variety of uses cases.
This maritime dataset comprises of two mat files for each hour. Since each grid contains 100 x100 km haversian distance area, for the sake of generality, the first mat file (Coordinates) contains the coordinates of the central point of each grid. For instance, the central coordinates correspond to the points where the numbers are written in Figure Below. Whereas the second mat file (Density_Flow) is corresponding to these numbers themselves which means the number of vessels present within this 100 x100 km area at given hour. Both .mat files are with the dimensions of 17 x 35 and each cell of one file corresponds to the same cell of other file.
The name of the files means
xxx_Day_1_time_start_to_time_end_UTC.
time_start_to_time _end means that the file contain data from start hour to end hour
For Example
xxx_Day_1_00_to_01_UTC
means
this file belongs to day 1 (since we have 1 week data) from 12 am to 01 am in UTC time. Each day contains 24 files with 24 hours.
Files
Maritime_Data_Set.zip
Files
(501.7 kB)
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Additional details
Related works
- Documents
- Publication: 10.1109/FNWF58287.2023.10520488 (DOI)
Dates
- Collected
-
2024-08
References
- H. Shahid, M. Á. Vázquez, L. Reynaud, F. Parzysz and M. Shaat, "Open Datasets for AI-Enabled Radio Resource Control in Non-Terrestrial Networks," 2023 IEEE Future Networks World Forum (FNWF), Baltimore, MD, USA, 2023, pp. 1-6.