Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces

Understand

Reconfigurable Intelligent Surfaces (RISs) comprised of tunable unit elements have been recently considered in indoor communication environments for focusing signal reflections to intended user locations.

• However, the current proofs of concept require complex operations for the RIS configuration, which are mainly realized via wired control connections.
• In this paper, we present a deep learning method for efficient online wireless configuration of RISs when deployed in indoor communication environments.
• According to the proposed method, a database of coordinate fingerprints is implemented during an offline training phase.