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 …

User-Centric Phaseless Beam and Blockage Prediction Empowering 5G mmWave Systems

J Zhang, H **e, H Wang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication stands as a crucial technology for X-reality and
cloud gaming due to its extensive bandwidth. Nevertheless, its user experience suffers from …

Deep learning for fast beam tracking using RSRP in millimeter wave MIMO systems

J Zhang, H Wang, G Du, H **e - 2022 IEEE 95th Vehicular …, 2022 - ieeexplore.ieee.org
Compressive channel estimation is an effective way to reduce the number of measurements
for fast beam tracking in millimeter wave (mmWave) communications. However in some …

Enhanced Cooperative Compressive Spectrum Sensing in Cognitive Radio Networks

HA Benzater, D Teguig… - Transactions on Emerging …, 2024 - Wiley Online Library
The demand for bandwidth in cognitive radio networks (CRNs) is growing as applications
become increasingly data intensive. Techniques such as compressed spectrum sensing …

Optimization of the quality‐to‐power ratio of scalable video code video transmission in millimeter‐wave massive multiple‐input multiple‐output systems

P Zhang, L Zhao, B Cheng… - Transactions on Emerging …, 2022 - Wiley Online Library
Consider a millimeter‐wave (mmWave) massive multiple‐input multiple‐output (MIMO)
system, where a base station (BS) relying on discrete lens antenna (DLA) array transmits …

Measurement and analysis of the scattering properties of cement surfaces of urban environment in the millimeter waveband

C Hou, Z Wu, J Wu, C Lu, R Zhang, L Lin… - Transactions on …, 2022 - Wiley Online Library
The use of the low‐frequency scattering coefficient leads to inaccurate receiving‐power
predictions in the millimeter‐wave band. The inaccurate signal will hinder optimization of the …

Iterative Newton hard thresholding‐based approach for cosparse recovery of mmWave massive MIMO channels

M Hajjaj - International Journal of Communication Systems, 2022 - Wiley Online Library
Millimeter wave (mmWave) massive multiple‐input multiple‐output (MIMO) channels are
cosparse in nature. These cosparse channels share common cosparsity properties, which is …

Joint dictionary and deep learning for cosparse recovery of the millimeter wave massive MIMO channels

M Hajjaj - The Journal of Engineering, 2022 - Wiley Online Library
The channel estimation (CE) for millimeter wave (mmW) massive multiple input multiple
output (mMIMO) is a challenging task because of the important number of transmit and …

Graph‐colouring based pilot assignment to mitigate downlink pilot contamination for cell‐free massive MIMO systems

W Haj Hmida, V Meghdadi, A Bouallegue… - IET …, 2021 - Wiley Online Library
In cell‐free massive multiple‐input‐multiple‐output (CF‐MMIMO) systems, a massive
number of access points, mastered by central processing units are distributed in a coverage …

[PDF][PDF] Performance Analysis of Channel Estimation in 5G millimeter-Wave-MIMO Heterogeneous Systems

S Chopra, A Kakkar, P TIET - 2021 - researchgate.net
Abstract Millimeter Wave (mm-Wave)-massive Multiple-Input Multiple-Output (MIMO)
technology has been a subject of today's growing interest in both industry and academia for …