Rate-Splitting Multiple Access for Secure Near-Field Integrated Sensing and Communication

TL;DR

This work tackles secure, high-precision near-field ISAC under hardware constraints by introducing an RSMA-based transmit scheme that leverages the common stream for flexible interference management, sensing-sequence embedding, and artificial-noise-like secrecy. A penalty-based block-coordinate-descent algorithm, augmented with WMMSE, quadratic transforms, and Taylor expansions, jointly designs analog/digital beamformers while enforcing CRB-based sensing accuracy. The approach yields near fully digital performance with significantly reduced RF chains and outperforms conventional beamfocusing and far-field security schemes in secrecy and sensing fidelity. The findings indicate strong practical potential for secure, high-precision NF-ISAC with HAD architectures in future high-frequency networks.

Abstract

Near-field integrated sensing and communication (ISAC) leverages distance-dependent channel variations for joint distance and angle estimation. However, full-digital architectures have prohibitive hardware costs, making hybrid analog-digital (HAD) designs the primary alternative. Nevertheless, such architectures compromise beamfocusing precision and lead to energy leakage, which exacerbates inter-user interference and increases eavesdropping risks. To address these challenges, this paper proposes a rate-splitting multiple access (RSMA)-enhanced secure transmit scheme for near-field ISAC. For the first time, it exploits the common stream in RSMA to concurrently (i) flexibly manage interference, (ii) act as artificial noise to suppress eavesdropping, and (iii) serve as sensing sequences. The objective is to maximize the minimum secrecy rate while satisfying the angle and distance Cramer-Rao Bound (CRB) constraints. This results in a hard, non-convex optimization problem, and we employ block coordinate descent to decompose it into three sub-problems with lower computational complexity. In the first stage of optimizing fully digital beamfocusers, we develop an iterative solution using weighted minimum mean-squared error (WMMSE), quadratic transform, and Taylor expansion methods, thus avoiding conventional semidefinite relaxation. In the second and third stages, the analog and digital beamfocusers are optimized in closed form. Simulation results show that the proposed scheme (1) achieves near full-digital beamfocusing performance with a 16-fold reduction in RF chains, (2) provides superior secrecy performance compared to conventional beamfocusing-only and far-field security schemes, and (3) enables high-accuracy sensing with negligible loss in secrecy performance.

Figures (6)

• Figure 1: RSMA-enhanced secure near-field ISAC networks.
• Figure 2: Max-min secrecy rate versus transmit power threshold.
• Figure 3: Max-min secrecy rate versus the number of users.
• Figure 4: Max-min rate versus the number of transmit antennas.
• Figure 5: Max-min rate versus RCRB for distance.