Computer‐Vision‐Assisted Intelligent Wireless Communication with Programmable Metasurface for Self‐Adaptive Moving‐Target Tracking and Signal Enhancement

Programmable metasurfaces have emerged as one of the most promising technologies for next‐generation wireless communication due to their powerful capabilities of dynamically controlling electromagnetic waves. Here, an intelligent wireless communication system is proposed, assisted by programmable metasurfaces and computer‐vision to achieve self‐adaptive signal enhancement of the moving users. In this system, high‐speed adaptive beam tracking for moving users is achieved, which recognizes users’ posture and detects the position of their hands by a monocular camera through a computer‐vision algorithm based on a convolutional neural network. A prototype is fabricated and measured indoors and outdoors, which demonstrates that, without human intervention, the received power and signal‐to‐interference‐plus‐noise ratio of the moving user with different moving speeds can be significantly enhanced. The proposed system is expected to promote the development and application of programmable metasurfaces in future intelligent wireless communication.