Published June 25, 2025 | Version v2

Supplementary Data and Software for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance"

  • 1. ROR icon Tampere University
  • 2. Ericsson Research, Helsinki, Finland
  • 3. Ericsson Researach
  • 4. KTH, Stockholm, Sweden

Description

The file includes supplementary data for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance". If you would like to re-use the software provided please cite the following two items.

R. Klus, J. Talvitie, J. Equi, G. Fodor, J. Torsner, and M. Valkama, “Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and
Performance,” IEEE Transactions on Vehicular Technology, 2024.

R Klus et al. (2024). Supplementary materials for “Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance”. version v1, 25.06.2024, [Online]. Available: https://doi.org/10.5281/zenodo.12204892

If you have any questions about this package, please do not hesitate to contact Roman Klus (roman.klus@tuni.fi).

Files

Supplementary_Data_and_Software.pdf

Files (1.1 GB)

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md5:00ffb0740b66fbddbd62ca3a20fbc0bc
508.4 kB Preview Download
md5:08145b2c82622f2fdacb96f36d40d2ad
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Additional details

Software

Programming language
MATLAB , Python