# ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design

arXiv: https://arxiv.org/abs/2602.06399 · HTML: https://mlsanity.com/paper/2602.06399/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 13 references that are in the map.
- First posted on arXiv 6 Feb 2026.

## Builds on (most cited first, 6 of 6)

- [Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications](https://mlsanity.com/paper/2103.07914/) (2021)
- [Enhancing Robustness and Security in ISAC Network Design: Leveraging Transmissive Reconfigurable Intelligent Surface with RSMA](https://mlsanity.com/paper/2407.06767/) (2024)
- [Joint Transceiver Beamforming and Reflecting Design for Active RIS-Aided ISAC Systems](https://mlsanity.com/paper/2302.10616/) (2023)
- [Optimal Beamforming for MIMO DFRC Systems with Transmit Covariance Constraints](https://mlsanity.com/paper/2303.02888/) (2023)
- [Rate-Splitting Multiple Access for Simultaneous Multi-User Communication and Multi-Target Sensing](https://mlsanity.com/paper/2306.06458/) (2023)
- [Robust Secure ISAC: How RSMA and Active RIS Manage Eavesdropper's Spatial Uncertainty](https://mlsanity.com/paper/2407.15113/) (2024)

## Abstract (arXiv)

This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overcome the fairness bottleneck in multi-target sensing under obstructed line-of-sight environments. Beamforming at the transceiver and ARIS, along with rate splitting, are optimized to maximize the minimum multi-target echo signal-to-interference-plus-noise ratio under multi-user rate and power constraints. The intricate non-convex problem is decoupled into three subproblems and solved iteratively by majorization-minimization (MM) and sequential rank-one constraint relaxation (SROCR) algorithms. Simulations show our scheme outperforms nonorthogonal multiple access, space-division multiple access, and passive RIS baselines, approaching sensing-only upper bounds.