Downlink compressive channel estimation with phase noise in massive MIMO systems

R Zhang, B Shim, H Zhao - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Phase noise (PN) introduced by the oscillator at the base station and user side severely
degrades the channel estimation performance. This paper investigates the impact of PN on …

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

X Rao, VKN Lau, X Kong - 2014 IEEE International conference …, 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 …

Time-varying massive MIMO channel estimation: Capturing, reconstruction, and restoration

M Li, S Zhang, N Zhao, W Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To estimate time-varying MIMO channel at base station, traditional downlink (DL) channel
restoration schemes usually require the reconstruction for the covariance of downlink …

Angular-domain selective channel tracking and Doppler compensation for high-mobility mmWave massive MIMO

G Liu, A Liu, R Zhang, M Zhao - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this paper, we consider a mmWave massive multiple-input multiple-output (MIMO)
communication system with one static base station (BS) serving a fast-moving user, both …

Low-complexity channel estimation in 5G massive MIMO-OFDM systems

OA Saraereh, I Khan, Q Alsafasfeh, S Alemaishat… - Symmetry, 2019 - mdpi.com
Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …

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) …

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 …

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 …

Bayesian channel estimation in multi-user massive MIMO with extremely large antenna array

Y Zhu, H Guo, VKN Lau - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …

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 …