Channel estimation for FDD massive MIMO OFDM systems
D Hu, L He - 2017 IEEE 86th Vehicular Technology Conference …, 2017 - ieeexplore.ieee.org
For frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO)
systems, it is challenging for the base station (BS) to acquire downlink channel state …
systems, it is challenging for the base station (BS) to acquire downlink channel state …
Downlink channel prediction for time-varying FDD massive MIMO systems
Accurate channel estimation is important for massive multiple-input multiple-output (mMIMO)
to ensure good performance. Considering mMIMO application in 5G, frequency division …
to ensure good performance. Considering mMIMO application in 5G, frequency division …
Deep generative models for downlink channel estimation in FDD massive MIMO systems
J Mirzaei, SS Panahi, RS Adve… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It is well accepted that acquiring downlink channel state information in frequency division
duplexing (FDD) massive multiple-input multiple-output (MIMO) systems is challenging …
duplexing (FDD) massive multiple-input multiple-output (MIMO) systems is challenging …
Downlink training overhead reduction technique for FDD massive MIMO systems
In this letter, a novel minimum mean square error (MSE) based channel estimation
framework is proposed to reduce the downlink channel training overhead in frequency …
framework is proposed to reduce the downlink channel training overhead in frequency …
Deep learning-based downlink channel estimation for FDD massive MIMO systems
B Xiang, D Hu, J Wu - IEEE Wireless Communications Letters, 2023 - ieeexplore.ieee.org
This letter is concerned with the downlink channel estimation in frequency division duplex
(FDD) massive multiple-input multiple-output (MIMO) system. With the number of antennas …
(FDD) massive multiple-input multiple-output (MIMO) system. With the number of antennas …
DL CSI acquisition and feedback in FDD massive MIMO via path aligning
Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL)
channels are not reciprocal anymore in the case of frequency-division duplexing (FDD) …
channels are not reciprocal anymore in the case of frequency-division duplexing (FDD) …
Downlink channel estimation with limited feedback for FDD multi-user massive MIMO with spatial channel correlation
Massive multiple input multiple output (MIMO) systems are a promising technology for next
generation wireless communications due to their ability to increase capacity and enhance …
generation wireless communications due to their ability to increase capacity and enhance …
Deep learning based downlink channel covariance estimation for FDD massive MIMO systems
Z Linfu, P Zhiwen, J Huilin, L Nan… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Obtaining the downlink channel state information in frequency division duplexing (FDD)
massive multi-input multi-output (MIMO) systems is challenging due to the overwhelming …
massive multi-input multi-output (MIMO) systems is challenging due to the overwhelming …
FDD Massive MIMO: How to Optimally Combine UL Pilot and Limited DL CSI Feedback?
In frequency-division duplexing (FDD) multiple-input multiple-output (MIMO) systems,
obtaining accurate downlink channel state information (CSI) for precoding is vastly …
obtaining accurate downlink channel state information (CSI) for precoding is vastly …
CAnet: Uplink-aided downlink channel acquisition in FDD massive MIMO using deep learning
In frequency-division duplexing systems, the downlink channel state information (CSI)
acquisition scheme leads to high training and feedback overhead. In this work, we propose …
acquisition scheme leads to high training and feedback overhead. In this work, we propose …