A multi-task learning model for super resolution of wireless channel characteristics

X Wang, Z Zhang, D He, K Guan, D Liu… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Channel modeling has always been the core part in communication system design and
development, especially in 5G and 6G era. Traditional approaches like stochastic channel …

Graph Neural Network enabled Propagation Graph Method for Channel Modeling

X Wang, K Guan, D He, A Hrovat, R Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Channel modeling is considered as a fundamental step in the design, deployment, and
optimization of vehicular wireless communication systems. For typical vehicular …

Super resolution of wireless channel characteristics: A multi-task learning model

X Wang, K Guan, D He, Z Zhang… - … on Antennas and …, 2023 - ieeexplore.ieee.org
Channel modeling has always been the core part of the design and development of
communication system, especially in the sixth-generation (6G) era. Traditional approaches …

Super-resolution of Ray-tracing Channel Simulation via Attention Mechanism based Deep Learning Model

H Zhang, D He, X Wang, W Wang… - 2023 XXXVth General …, 2023 - ieeexplore.ieee.org
As an emerging approach, deep learning plays an increasingly influential role in channel
modeling. Traditional ray tracing (RT) methods of channel modeling tend to be inefficient …