Deep learning-based signal strength prediction using geographical images and expert knowledge

J Thrane, B Sliwa, C Wietfeld… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …
被引用次数：66 相关文章
[PDF] archive.org

[PDF][PDF] Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld, HL Christiansen - scholar.archive.org
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …
[PDF] tu-dortmund.de

[PDF][PDF] Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld, HL Christiansen - cni.etit.tu-dortmund.de
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld, H Christiansen - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld… - 2020 IEEE Global …, 2020 - orbit.dtu.dk
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld… - arXiv preprint arXiv …, 2020 - arxiv.org
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge

J Thrane, B Sliwa, C Wietfeld… - GLOBECOM 2020-2020 …, 2020 - dl.acm.org
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …