Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks

Ahmed Al-Tahmeesschi, Jukka Talvitie, Miguel López-Benítez, Laura Ruotsalainen. Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks. In Jari Nurmi, Elena Simona Lohan, Joaquín Torres-Sospedra, Heidi Kuusniemi, Aleksandr Ometov, editors, 2022 International Conference on Localization and GNSS, ICL-GNSS 2022, Tampere, Finland, June 7-9, 2022. pages 1-7, IEEE, 2022. [doi]

@inproceedings{Al-TahmeesschiT22,
  title = {Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks},
  author = {Ahmed Al-Tahmeesschi and Jukka Talvitie and Miguel López-Benítez and Laura Ruotsalainen},
  year = {2022},
  doi = {10.1109/ICL-GNSS54081.2022.9797017},
  url = {https://doi.org/10.1109/ICL-GNSS54081.2022.9797017},
  researchr = {https://researchr.org/publication/Al-TahmeesschiT22},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {2022 International Conference on Localization and GNSS, ICL-GNSS 2022, Tampere, Finland, June 7-9, 2022},
  editor = {Jari Nurmi and Elena Simona Lohan and Joaquín Torres-Sospedra and Heidi Kuusniemi and Aleksandr Ometov},
  publisher = {IEEE},
  isbn = {978-1-6654-0575-1},
}