Deep-learning-based radio map reconstruction for V2X communications

S Roger, M Brambilla, BC Tedeschini… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Radio environment map (REM) reconstruction based on large-scale channel measurements
is a promising technology for future mobility services involving vehicle-to-everything (V2X) …
被引用次数：5 相关文章
[PDF] uv.es

[PDF][PDF] Deep-Learning-Based Radio Map Reconstruction for V2X Communications

S Roger, M Brambilla, BC Tedeschini… - IEEE TRANSACTIONS …, 2024 - roderic.uv.es
Radio environment map (REM) reconstruction based on large-scale channel measurements
is a promising technology for future mobility services involving vehicle-to-everything (V2X) …

[引用][C] Deep-Learning-Based Radio Map Reconstruction for V2X Communications

S Roger, M Brambilla, BC Tedeschini… - IEEE …, 2023 - re.public.polimi.it
Deep-Learning-Based Radio Map Reconstruction for V2X Communications IRIS IRIS Home
Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Tipologia Data di pubblicazione IT Italiano …

Deep-Learning-Based Radio Map Reconstruction for V2X Communications

S Roger, M Brambilla, BC Tedeschini… - IEEE Transactions on …, 2024 - trid.trb.org
Radio environment map (REM) reconstruction based on large-scale channel measurements
is a promising technology for future mobility services involving vehicle-to-everything (V2X) …
[PDF] uv.es

[PDF][PDF] Deep-Learning-Based Radio Map Reconstruction for V2X Communications

S Roger, M Brambilla, BC Tedeschini… - IEEE TRANSACTIONS …, 2024 - roderic.uv.es
Radio environment map (REM) reconstruction based on large-scale channel measurements
is a promising technology for future mobility services involving vehicle-to-everything (V2X) …