Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems

X Rao, VKN Lau - IEEE Transactions on Signal Processing, 2014 - ieeexplore.ieee.org
To fully utilize the spatial multiplexing gains or array gains of massive MIMO, the channel
state information must be obtained at the transmitter side (CSIT). However, conventional …

Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO

Z Gao, L Dai, Z Wang, S Chen - IEEE transactions on signal …, 2015 - ieeexplore.ieee.org
This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …

Structured compressive sensing-based spatio-temporal joint channel estimation for FDD massive MIMO

Z Gao, L Dai, W Dai, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive MIMO is a promising technique for future 5G communications due to its high
spectrum and energy efficiency. To realize its potential performance gain, accurate channel …

Joint CSIT acquisition based on low-rank matrix completion for FDD massive MIMO systems

W Shen, L Dai, B Shim, S Mumtaz… - IEEE Communications …, 2015 - ieeexplore.ieee.org
Channel state information at the transmitter (CSIT) is essential for frequency-division
duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming …

Compressed channel feedback for correlated massive MIMO systems

MS Sim, J Park, CB Chae… - … of Communications and …, 2016 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising approach for cellular
communication due to its energy efficiency and high achievable data rate. These …

Exploiting burst-sparsity in massive MIMO with partial channel support information

A Liu, VKN Lau, W Dai - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
How to obtain accurate channel state information at the base station (CSIT) is a key
implementation challenge behind frequency-division duplex massive MIMO systems …

Deep learning and compressive sensing-based CSI feedback in FDD massive MIMO systems

P Liang, J Fan, W Shen, Z Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To fully utilize multiplexing and array gains of massive multiple-input multiple-output (MIMO),
the downlink channel state information (CSI) must be acquired at the base station (BS). In …

Joint channel training and feedback for FDD massive MIMO systems

W Shen, L Dai, Y Shi, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising
technology for future 5G wireless communication systems. To achieve the theoretical …

Exploiting dynamic sparsity for downlink FDD-massive MIMO channel tracking

L Lian, A Liu, VKN Lau - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
Accurate channel tracking with a small pilot overhead is vital for real-time massive multiple-
input and multiple-output (MIMO) communication over a dynamic channel. Recently …

FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification

MB Khalilsarai, S Haghighatshoar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …