Why companies switch from ERP modules and manual work Traditional systems require manual scanning, take months to implement, and still deliver inaccurate
VOCAL Technologies offers custom designed, sophisticated transmit beamforming and beam tracking solutions in 5G systems. Our custom implementations of such
Different from prior works, this paper studies the co-operative sensing-assisted predictive beam tracking for a mobile device/sensing target1 in MIMO-OFDM networked ISAC systems.
This article presents an overview of the current AI-based ML beam tracking (BT) techniques used in mmWave/THz bands for 5G and future networks, highlighting the essential features of an effective
Then, to obtain the initial value and derivative of the beam changes, we add the ordinary differential equation (ODE) solver to the LSTM module and the proposed LSTM_ODE beam training
Abstract Beam prediction and tracking (BPT), as one of the most important techniques in high-frequency communications, e.g., the millimeter wave and Terahertz communications, play a key
A complex optical trajectory tracing model of the five-dimensional processing system was established using the vector method, and the impact of the mutual motion of each optical module on
Abstract we propose a d ns. Beam tracking is employed for transmitting the known symbols using the sounding beams and tra pment (UE) device varies rapidl s communication. Thus, models that can
The five-dimensional processing system designed in this article consists of multiple complex optical structures such as offset module, beam expansion module, scanning module and
Recently, mmWave beam tracking was addressed in the literature via either analytical approaches or machine learning (ML) models. For example, beam tracking approaches using
Similarly, radar-based beam tracking model showed that radar measurements combined with machine learning could efficiently predict beam directions. In UAV scenarios, learning-based
However, this approach produces additional insertion loss due to transmission through a beamsplitter and tracking loss due to inevitable boresighting errors between the quadrant detector
Onboard drone AI tracking modules — how to choose between 1 TOPS and 6 TOPS, mono and dual sensors, and visible-only or thermal-paired configurations.
By combining millimeter wave (mmWave) with abundant spectral resources and advanced directional beamforming technology, mmWave aerial base stations (mAeBSs) can provide
Beam tracking is particularly important for the sensing-aided mmWave communicatons systems as the latency of capturing and processing the
Beamforming is the core principle used for communication in mmWave bands to overcome the excessive pathloss experienced at these bands. Usage of narrow beams results in a large number of
It includes processes like beamforming, beam selection, beam switching, and beam tracking, which aim to maintain high-quality communication links despite
In particular, we classify different BPT methods based on the underlying learning techniques and briefly analyze their strengths and weaknesses. Then, we analyze the key challenges of applying machine
Beam-based V2X communications mainly suffer from blockage and pointing misalignment issues. This work focuses on the latter case, which is
Index Terms—Beam tracking, collaborative sensing, inte-grated sensing and communication (ISAC), parameter estima-tion. I. INTRODUCTION Wireless communication and radar sensing have been
In this paper, we propose a multimodal UAV beam tracking model that utilizes both image and GPS sensor data while incorporating sequential information to enable optimal beam tracking,
However, most studies are focused on single-modal data assistance without considering multi-modal calibration or the impact of inference latency of different sub-modules. Thus, in this
Consequently, we propose schemes based on deep learning for beam prediction tracking in this paper. On the basis of received signals from both the present and previous beam training, we apply long
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