Towards Smart Beamforming Utilizing Neural- Networked Programmable Metasurfaces

In this article we outline a beamforming architecture based on the programmable metasurfaces with memory for applications in future device-to-device wireless communications. Programmable metasurfaces have emerged as versatile photonic tools for controlling wave fronts and performing nearly-instantaneous operations on the angular spectrum of propagating electromagnetic waves. The ultimate goal of our research is to implement parts of the signal processing associated with the formation and tracking of the communication beams within such smart, programmable metasurface layers. Here, we discuss the ongoing work towards this goal and present related mathematical models and realization strategies.