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5G Positioning Measurements

Citation Author(s):
Lorenzo Italiano (Politecnico di Milano)
Bernardo Camajori Tedeschini (Politecnico di Milano)
Mattia Brambilla (Politecnico di Milano)
Huiping Huang (Chalmers University of Technology)
Monica Nicoli (Politecnico di Milano)
Henk Wymeersch (Chalmers University of Technology)
Submitted by:
Lorenzo Italiano
Last updated:
DOI:
10.21227/smpm-wx08
Data Format:
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Abstract

The dataset contains 5G positioning measurements simulated using a MATLAB raytracer tool in realistic environments (outdoors and indoors).
Outdoor scenarios include static and dynamic users in the urban area of Città Studi, Milan, Italy, near the Politecnico di Milano - Campus Leonardo.
The indoor context is reconstructed using a LiDAR acquisition in the MADE Competence Center I4.0 located in Politecnico di Milano - Campus Durandò, Bovisa, Milan, Italy.
The datasets include:

  • Base station (BS) coordinates;
  • User equipment (UE) coordinates;
  • Raw measurements (TDOA/RTT/AOA/AOD).

Each measurement will be marked with an integer timestamp (1,...,1000) and a boolean value (0/1) to indicate if the BS is in line of sight (LOS) or not (NLOS).
The simulations comprehend a plethora of experiments. For instance, a comparison between the different numerologies (0, 1, 2, 3), methods (DL-TDOA, multi-RTT, UL-AOA, DL-AOD), and BS array (4x4, 8x8, 16x16).

Instructions:

The CSV files contain a table with the following columns:

  • BS coordinates (x, y, z);
  • UE coordinates (x, y, z);
  • Raw measurements (TDOA/RTT/AOA/AOD);
  • Timestamps (1, ... ,1000);
  • LOS/NLOS (1/0).

(Note that TDOA measurements have a NaN value in correspondence with the BS Master.)

Instead, the MATLAB (.mat) files have a 1xM array variable for each column of the table.

Very important information that helps me with my PhD thesis. Thanks

I'll be citing the dataset.

Andres Garcia Tue, 09/17/2024 - 22:59 Permalink