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 …

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 …

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 …

Channel estimation for millimeter-wave massive MIMO with hybrid precoding over frequency-selective fading channels

Z Gao, C Hu, L Dai, Z Wang - IEEE Communications Letters, 2016 - ieeexplore.ieee.org
This letter proposes a multi-user uplink channel estimation scheme for mmWave massive
MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle …

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 …

Tensor-based channel estimation for massive MIMO-OFDM systems

DC Araújo, ALF De Almeida, JPCL Da Costa… - IEEE …, 2019 - ieeexplore.ieee.org
Channel estimation is a crucial problem for massive multiple input multiple output (MIMO)
systems to achieve the expected benefits in terms of spectrum and energy efficiencies …

Dictionary learning-based sparse channel representation and estimation for FDD massive MIMO systems

Y Ding, BD Rao - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …

Low-rank covariance-assisted downlink training and channel estimation for FDD massive MIMO systems

J Fang, X Li, H Li, F Gao - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
We consider the problem of downlink training and channel estimation in frequency division
duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large …

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 …

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 …