A Novel Partitioning Scheme for RIS Identification and Beamforming
Yarkın Gevez, Aymen Khaleel, Ertugrul Basar
TL;DR
This work addresses joint RIS identification and beamforming by introducing a dynamic, channel-aware partitioning of the RIS elements into a beamforming set and an identification set. The method leverages element sorting by instantaneous CSI to assign high-gain elements to beamforming, while remaining elements support RIS identification, and analyzes outage via a Gil-Pelaez-based framework. Theoretical results for unsorted and sorted partitions are derived using random-variable decompositions where the beamforming term is modeled as a non-central and the interference as a central Chi-square, with misses kept in check. Simulations confirm up to order-of-magnitude improvements in outage probability and SNR without sacrificing RIS identification reliability, highlighting the practical impact for dynamic RIS-enabled networks.
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.