Federated generative adversarial networks based channel estimation
With the rapid growth of connectivity and demands on reliable communications, channel
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
Channel estimation enhancement with generative adversarial networks
Improving the accuracy of channel estimation is a significant topic in the context of wireless
communications. For training-based channel estimations, increasing the length of a training …
communications. For training-based channel estimations, increasing the length of a training …
Federated Generative-Adversarial-Network-Enabled Channel Estimation
Accurately estimating channel state information is essential for meeting the quality-of-service
requirements of modern applications and scenarios. Deep learning techniques have proven …
requirements of modern applications and scenarios. Deep learning techniques have proven …
A Joint Channel Estimation and Compression Method Based on GAN in 6G Communication Systems
Y Du, Y Li, M Xu, J Jiang, W Wang - Applied Sciences, 2023 - mdpi.com
Due to the increasing popularity of communication devices and vehicles, the channel
environment becomes more and more complex, which makes conventional channel …
environment becomes more and more complex, which makes conventional channel …
Low complexity channel estimation with neural network solutions
D Luan, J Thompson - WSA 2021; 25th International ITG …, 2021 - ieeexplore.ieee.org
Research on machine learning for channel estimation, especially neural network solutions
for wireless communications, is attracting significant current interest. This is because …
for wireless communications, is attracting significant current interest. This is because …
Score-based generative models for robust channel estimation
Channel estimation is a critical task in digital communications that greatly impacts end-to-
end system performance. In this work, we introduce a novel approach for multiple-input …
end system performance. In this work, we introduce a novel approach for multiple-input …
Scenario-Aware Learning Approaches to Adaptive Channel Estimation
The growth of frequency bandwidths and applications with the forthcoming generations of
wireless networks will give rise to a multitude of wireless transmission scenarios, topologies …
wireless networks will give rise to a multitude of wireless transmission scenarios, topologies …
An effective generative model based channel estimation method with reduced overhead
B Zhang, D Hu, J Wu, Y Xu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The traditional channel estimation for OFDM systems suffers from big overheads caused by
pilots. Current channel estimation methods only consider the correlation among pilots within …
pilots. Current channel estimation methods only consider the correlation among pilots within …
Deep learning for channel estimation: Interpretation, performance, and comparison
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …
communication systems, especially under some imperfect environments. However, even …
ChanEstNet: A deep learning based channel estimation for high-speed scenarios
Y Liao, Y Hua, X Dai, H Yao… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Aiming at the problem that the downlink channel estimation performance is limited due to the
fast time-varying and non-stationary characteristics in the high-speed mobile scenarios, we …
fast time-varying and non-stationary characteristics in the high-speed mobile scenarios, we …