Fig. 4: Performance of predicted Airy configurations in blockage mitigation. | Nature Communications

Fig. 4: Performance of predicted Airy configurations in blockage mitigation.

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

Fig. 4

Measured near-field radiation patterns are shown for both AI-optimized beams and baseline beams. The received power is calculated by integrating over the red receiving aperture and is marked within each measurement figure. The measured wave propagations are in agreement with simulation results. Comparison with conventional Gaussian beam steering and beam focusing indicates the achieved power gain realized by the AI-optimized Airy beam. a An obstruction in the line-of-sight path moves along a linear trajectory shown with a yellow dashed line. As seen, even a slight movement of the blocker may result in a completely different prediction of the curved beam trajectory. b A receiver walks into the shadow region of an obstruction. The proposed AI framework adapts the Airy beam parameters to maximize receiver power under each setting.

Back to article page