RIS-aided ISAC with $K$-Rydberg Atomic Receivers

TL;DR

This paper proposes a RIS-assisted ISAC framework with Rydberg atomic receivers, optimizing communication and sensing performance through advanced algorithms, demonstrating significant improvements over conventional methods for 6G applications.

Contribution

It introduces a unified signal model and a joint optimization framework for RIS-assisted ISAC with Rydberg atomic receivers, enhancing system performance.

Findings

Outperforms conventional approaches in simulations

Effectively balances communication and sensing tasks

Highlights potential for 6G applications

Abstract

In this paper, we investigate a reconfigurable intelligent surface (RIS)-assisted integrated sensing and communications (ISAC) framework equipped with multiple Rydberg atomic receiver (RAR)-aided users. By leveraging the reference-assisted reception mechanism of RARs, we develop a unified signal model that jointly captures downlink multi-user communication with RARs and monostatic radar sensing. To explicitly balance communication performance and sensing accuracy, we formulate a Cramer-Rao bound (CRB)-constrained utility maximization problem. To address these challenges, we propose a joint optimization framework that combines fractional programming (FP), majorization-minimization (MM), and the alternating direction method of multipliers (ADMM). Simulation results demonstrate that the proposed framework consistently outperforms the conventional approach over a wide range of system environments, thereby highlighting the importance of the proposed framework in unlocking the potential of RARs for 6G.