Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems

X Zheng, V Lau - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …

Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems

X Zheng, VKN Lau - IEEE Transactions on Signal Processing, 2022 - repository.ust.hk
In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …

[引用][C] Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive MIMO Systems

X Zheng, V Lau - IEEE Transactions on Signal Processing, 2022 - ui.adsabs.harvard.edu
Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive
MIMO Systems - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive MIMO Systems

X Zheng, V Lau - IEEE Transactions on Signal Processing, 2022 - dl.acm.org
In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …