A Novel Partitioning Scheme for RIS Identification and Beamforming

TL;DR

This paper proposes a dynamic partitioning scheme for reconfigurable intelligent surfaces that optimizes resource allocation between identification and beamforming, improving SNR and performance.

Contribution

It introduces a novel dynamic partitioning algorithm for RISs that balances identification and beamforming tasks, enhancing overall system performance.

Findings

Significant SNR improvement demonstrated through simulations

Efficient resource management between identification and beamforming

Theoretical analysis confirms scheme validity

Abstract

This letter introduces a novel partitioning scheme for reconfigurable intelligent surfaces (RISs) that simultaneously consider RIS identification and beamforming. The proposed scheme dynamicly and efficiently allocates RIS elements between identification and beamforming users, considering the different performance metrics associated with each of them. By employing a dynamic partitioning algorithm that efficiently manage the RIS resources (elements), the scheme significantly enhances the signal-to-noise ratio (SNR) while maintaining reliable identification performance. Finally, theoretical analysis and computer simulations are provided to demonstrate the validity of the proposed scheme.