Multi-user linear precoding for multi-polarized massive MIMO system under imperfect CSIT

J Park, B Clerckx - IEEE Transactions on Wireless …, 2015 - ieeexplore.ieee.org
The space limitation and channel acquisition prevent Massive MIMO from being easily
deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use …

Compressed CSI acquisition in FDD massive MIMO: How much training is needed?

JC Shen, J Zhang, E Alsusa… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) is a promising technique for providing
unprecedented spectral efficiency. However, it has been well recognized that the excessive …

Grant-free massive MTC-enabled massive MIMO: A compressive sensing approach

K Senel, EG Larsson - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
A key challenge of massive MTC (mMTC), is the joint detection of device activity and
decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) …

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Y Gu, YD Zhang, NA Goodman - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
As a new emerging technology for wireless communications, massive multiple-input multiple-
output (MIMO) faces a significant challenge to deploy a separate receiver chain of front-end …

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 …

Compressed sensing-aided downlink channel training for FDD massive MIMO systems

Y Han, J Lee, DJ Love - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
There is much discussion in industry and academia about possible technical solutions to
address the growth in demand for wireless broadband. Massive multiple-input multiple …

Deep learning for massive MIMO CSI feedback

CK Wen, WT Shih, S Jin - IEEE Wireless Communications …, 2018 - ieeexplore.ieee.org
In frequency division duplex mode, the downlink channel state information (CSI) should be
sent to the base station through feedback links so that the potential gains of a massive …

Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO

M Ke, Z Gao, Y Wu, X Gao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper considers massive access in massive multiple-input multiple-output (MIMO)
systems and proposes an adaptive active user detection and channel estimation scheme …

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 …

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 …