Model-based learning network for 3-D localization in mmWave communications

J Yang, S Jin, CK Wen, J Guo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new
opportunities for accurate cooperative localization, in which large bandwidths and antenna …

3-D positioning and environment mapping for mmWave communication systems

J Yang, S Jin, CK Wen, J Guo, M Matthaiou - arXiv preprint arXiv …, 2019 - arxiv.org
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new
opportunities for accurate cooperative localization, in which large bandwidths, large antenna …

Analysis of localization performance in mm-wave 5G network under channel uncertainties

A Sellami, L Nasraoui, L Najjar - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This letter investigates localization exploiting mm-waves and massive multiple antennas
configuration. The particularity of this work is to consider channel estimation errors to …

Millimeter-wave based localization using a two-stage channel estimation relying on few-bit ADCs

K Li, M El-Hajjar, L Yang - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Benefiting from the high resolution in beamspace, millimeter wave (mmwave)
communication has been regarded as a high-accuracy localization solution, where the …

Joint localization and environment sensing by harnessing NLOS components in RIS-aided mmWave communication systems

Y Huang, J Yang, W Tang, CK Wen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave
(mmWave) communication systems for joint localization and environment sensing. The radar …

Single-anchor two-way localization bounds for 5G mmWave systems

Z Abu-Shaban, H Wymeersch… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recently, millimeter-wave (mmWave) 5G localization has been shown to be to provide
centimeter-level accuracy, lending itself to many location-aware applications, eg, connected …

Learning to localize with attention: From sparse mmwave channel estimates from a single BS to high accuracy 3D location

Y Chen, N González-Prelcic, T Shimizu… - arXiv preprint arXiv …, 2023 - arxiv.org
One strategy to obtain user location information in a wireless network operating at millimeter
wave (mmWave) is based on the exploitation of the geometric relationships between the …

Performance analysis for AOA-based localization under millimeter-wave wireless networks

J He, YJ Chun - IEEE access, 2022 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) communication is a promising solution for achieving high data
rate and low latency in 5G wireless networks. Since directional beamforming and antenna …

Channel estimation and localization for mmWave systems: A sparse bayesian learning approach

F Zhu, A Liu, VKN Lau - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) systems have potential advantages for high accuracy
localization due to their large bandwidth and highly directional and sparse channel. The …

Localization based on improved sparse Bayesian learning in mmWave MIMO systems

J Fan, X Dou, W Zou, S Chen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In the existing millimeter-wave (mmWave) wireless positioning systems, the method based
on sparse Bayesian learning (SBL) uses the channel sparsity to estimate the parameters …