Domain selective precoding in 3-D massive MIMO systems

Y Song, C Liu, W Wang, N Cheng… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Three-dimensional multiple input multiple output (3-D MIMO) with a large number of active
antennas equipped in a uniformly rectangular antenna array has a significant potential in …

Impact of RF mismatches on the performance of massive MIMO systems with ZF precoding

H Wei, D Wang, J Wang, X You - Science China Information Sciences, 2016 - kar.kent.ac.uk
Thanks to the channel reciprocity, the time division duplex (TDD) operation is more preferred
in massive multiple-input multiple-output (MIMO) systems. Avoiding the heavy feedback of …

A framework to connect IoT edge networks through 3D Massive MIMO

T Younas, Y Zhao, G Jeon, G Farid, S Tahir… - Wireless …, 2023 - Springer
Abstract Three-Dimensional (3D) Massive multiple-input-multiple-output (MIMO) is a new
and impressive concept. The beamforming in elevation and azimuth domains can reduce …

Optimal training design for MIMO systems with general power constraints

S Wang, S Ma, C Xing, S Gong, J An… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Training design for general multiple-input multiple-output (MIMO) systems is investigated in
this paper. Unlike prior designs that are applicable only for centralized MIMO systems with …

Iterative LMMSE individual channel estimation over relay networks with multiple antennas

J Ma, S Zhang, H Li, N Zhao… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we investigate the individual channel estimation over the three-node one-way
relay network, where all the nodes are equipped with multiple antennas. We first examine …

Analog–digital hybrid transceiver optimization for data aggregation in IoT networks

H Liu, S Wang, X Zhao, S Gong… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Data aggregation is a promising technology in the Internet-of-Things (IoT) network for a wide
range of applications, eg, environmental monitoring, traffic control, and real-time …

A framework of hybrid transceiver Optimizations with eigenvalue constraints for multi-hop networks

X Zhao, C Xing, S Gong, L Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a general framework on the hybrid analog-digital transceiver
design for multi-hop communications. For the inclusive purpose, a transceiver model …

Beamforming design with partial channel estimation and feedback for FDD RIS-assisted systems

X Ge, S Yu, W Shen, C Xing… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Beamforming design with partial channel estimation and feedback for frequency-division
duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in …

Robust superimposed training designs for MIMO relaying systems under general power constraints

B Rong, Z Zhang, X Zhao, X Yu - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate the superimposed training matrix designs for the channel
estimation of amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying …

A unified joint optimization of training sequences and transceivers based on matrix-monotonic optimization

C Xing, T Yu, J Song, Z Zheng, L Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Channel estimation and data transmission constitute the most fundamental functional
modules of multiple-input multiple-output (MIMO) communication systems. The underlying …