Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz

J Thrane, D Zibar, HL Christiansen - Ieee Access, 2020 - ieeexplore.ieee.org
Accurate channel models are essential to evaluate mobile communication system
performance and optimize coverage for existing deployments. The introduction of various …
被引用次数：166 相关文章

[引用][C] Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

J Thrane, D Zibar, HL Christiansen - IEEE Access, 2020 - ui.adsabs.harvard.edu
Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication
Systems at 2.6 GHz - NASA/ADS Now on home page ads icon ads Enable full ADS view …

[引用][C] Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

J Thrane, D Zibar, HL Christiansen - IEEE Access, 2020 - cir.nii.ac.jp
Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication
Systems at 2.6 GHz | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz

J Thrane, D Zibar, HL Christiansen - IEEE Access, 2020 - orbit.dtu.dk
Accurate channel models are essential to evaluate mobile communication system
performance and optimize coverage for existing deployments. The introduction of various …