Tensor decompositions in wireless communications and MIMO radar
The emergence of big data and the multidimensional nature of wireless communication
signals present significant opportunities for exploiting the versatility of tensor …
signals present significant opportunities for exploiting the versatility of tensor …
Tensor-based channel estimation for millimeter wave MIMO-OFDM with dual-wideband effects
We consider the channel estimation problem in millimeter wave (mmWave) multiple-input
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems with …
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems with …
Tensor-based joint channel estimation and symbol detection for time-varying mmWave massive MIMO systems
J Du, M Han, Y Chen, L **… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, a tensor-based joint channel parameter estimation and information symbol
detection scheme is developed for millimeter wave (mmWave) massive multiple-input …
detection scheme is developed for millimeter wave (mmWave) massive multiple-input …
Robust low-rank tensor recovery via nonconvex singular value minimization
L Chen, X Jiang, X Liu, Z Zhou - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Tensor robust principal component analysis via tensor nuclear norm (TNN) minimization has
been recently proposed to recover the low-rank tensor corrupted with sparse noise/outliers …
been recently proposed to recover the low-rank tensor corrupted with sparse noise/outliers …
Spectrum cartography via coupled block-term tensor decomposition
Spectrum cartography aims at estimating power propagation patterns over a geographical
region across multiple frequency bands (ie, a radio map)-from limited samples taken …
region across multiple frequency bands (ie, a radio map)-from limited samples taken …
FDD massive MIMO uplink and downlink channel reciprocity properties: Full or partial reciprocity?
Z Zhong, L Fan, S Ge - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
One challenge for FDD massive MIMO communication system is how to obtain the downlink
channel state information (CSI) at the base station. Except for traditional codebook feedback …
channel state information (CSI) at the base station. Except for traditional codebook feedback …
An ESPRIT-based supervised channel estimation method using tensor train decomposition for mmWave 3-D MIMO-OFDM systems
This paper focuses on the downlink supervised channel estimation problem for the
millimeter wave three-dimensional multiple-input multiple-output orthogonal frequency …
millimeter wave three-dimensional multiple-input multiple-output orthogonal frequency …
Dual-polarized reconfigurable intelligent surface-based antenna for holographic MIMO communications
Holographic multiple-input-multiple output (HMIMO) technology, which is enabled by large-
scale antenna arrays with quasi-continuous apertures, is expected to be an important …
scale antenna arrays with quasi-continuous apertures, is expected to be an important …
Linear polarization optimization for wideband MIMO systems with reconfigurable arrays
Reconfigurable arrays mold the propagation environment to benefit wireless systems. We
use single-port polarization-reconfigurable antennas in a wideband multiple-input multiple …
use single-port polarization-reconfigurable antennas in a wideband multiple-input multiple …
Distributed manufacturing of flexible products: Technical feasibility and economic viability
Distributed manufacturing even at the household level is now well established with the
combined use of open source designs and self-replicating rapid prototyper (RepRap) 3-D …
combined use of open source designs and self-replicating rapid prototyper (RepRap) 3-D …