January 1, 2025Open Access

Wireless communication and sensing

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HRHernangómez, Rodrigo

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Implication

Integration approach improves target detection in radar sensing using machine learning and beamforming techniques in 5G systems, highlighting potential for advanced applications.

Key Points

Significantly enhances target detection by combining radar sensing with machine learning techniques, including deep learning.
Achieves improved beamforming methods for reducing self-interference in 5G mobile networks, enhancing communication quality.
Analysis of various neural-network architectures is conducted to optimize radar sensing tasks and domain adaptation across systems.
Highlights the necessity for efficient data collection procedures when deploying machine learning in integrated sensing and communication frameworks.

Cite This Study

Hernangómez, Rodrigo (2025) studied this question.

synapsesocial.com/papers/6925573bc0ce034ddc35b05c https://doi.org/10.14279/depositonce-24678

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Implication

Integration approach improves target detection in radar sensing using machine learning and beamforming techniques in 5G systems, highlighting potential for advanced applications.

Wireless communication and sensing

Discussion

Member takes

Implication

Key Points

Cite This Study

Wireless communication and sensing

Discussion

Member takes

Implication

Key Points

Cite This Study

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