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 …

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 …

A ray-tracing and deep learning fusion super-resolution modeling method for wireless mobile channel

Z Zhang, D He, X Wang, K Guan… - 2023 17th European …, 2023 - ieeexplore.ieee.org
Mobile channel modeling has always been the core part for design, deployment and
optimization of communication system, especially in 5G and beyond era. Deterministic …

LSRN: A recurrent residual learning framework for continuous wireless channel estimation using super-resolution concept

S Zhang, Y Liu, Q Shi, S Xu, S Cao - IEEE Access, 2020 - ieeexplore.ieee.org
As only a few parts of wireless resources can be utilized for pilot transmission, channel
estimation, especially the interpolation process, has often been recognized as a challenging …

Performance evaluations of channel estimation using deep-learning based super-resolution

D Maruyama, K Kanai, J Katto - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
Thanks to breakthrough and evolution of deep learning in computer vision areas, adaptation
of deep learning into communication systems are getting lots of attention to researchers …

Area Restoration of Channel Impulse Response with Time Decomposition based Super-Resolution Method

S Wang, S Gao, W Yang, TH Loh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the application and development of the fifth-generation (5G) communications, it is
essential to gain insight understanding of the multi-antenna wireless channel …

Deep Learning-Based channel estimation with SRGAN in OFDM Systems

S Zhao, Y Fang, L Qiu - 2021 IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning-based channel estimation scheme in an
orthogonal frequency division multiplexing (OFDM) system. The channel response with …

Deep learning-based channel estimation

M Soltani, V Pourahmadi, A Mirzaei… - IEEE …, 2019 - ieeexplore.ieee.org
In this letter, we present a deep learning algorithm for channel estimation in communication
systems. We consider the time-frequency response of a fast fading communication channel …

Model-driven channel estimation for OFDM systems based on image super-resolution network

X Ru, L Wei, Y Xu - 2020 IEEE 5th International Conference on …, 2020 - ieeexplore.ieee.org
Reliable channel estimation is a crucial task for orthogonal frequency division multiplexing
(OFDM) systems to achieve high data rate. In this paper, a deep learning-based channel …

Deep learning enabled channel estimation for RIS-aided wireless systems

W Shen, Z Qin, A Nallanathan - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Channel Estimation is one of the essential tasks to realize a reconfigurable intelligent
surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication …