August 18, 2025Nature CommunicationsOpen Access

A physics-informed Airy beam learning framework for blockage avoidance in sub-terahertz wireless networks

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Authors

HCHaoze ChenPrinceton University AKAtsutse KludzePrinceton University YGYasaman GhasempourPrinceton University

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Implication

Experimental results demonstrate optimized Airy beam trajectories enhance link budgets in sub-terahertz wireless networks, indicating effective blockage solutions.

Key Points

Optimized Airy beam trajectories significantly improve link budgets under high-blockage conditions, enhancing coverage.
Airy beams offer unique self-accelerating properties that enable curved beam trajectories for blockage avoidance.
Machine learning techniques were applied to physics-informed models for effective Airy beam shaping and trajectory optimization.
The findings suggest that using Airy beams can lead to substantial blind-spot reduction in wireless communication environments.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68af4322ad7bf08b1ead1fde https://doi.org/10.1038/s41467-025-62443-0

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Implication

Experimental results demonstrate optimized Airy beam trajectories enhance link budgets in sub-terahertz wireless networks, indicating effective blockage solutions.

A physics-informed Airy beam learning framework for blockage avoidance in sub-terahertz wireless networks

Discussion

Member takes

Implication

Key Points

Cite This Study

A physics-informed Airy beam learning framework for blockage avoidance in sub-terahertz wireless networks

Discussion

Member takes

Implication

Key Points

Cite This Study

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