{
  "annotation_id": "91b96f65-90cd-41d8-b5b9-f6f4ee4923f6",
  "date_created": "2026-02-17T05:53:08.729000Z",
  "date_modified": "2026-02-17T05:53:08.729000Z",
  "file_hash": "5328190d1f556daaf4519617d58f02decb3c3fa13d61e86e9e5645eb6812c31a",
  "private": false,
  "record": {
    "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.",
    "arxiv_id": "2601.06809",
    "authors": [
      "Hong-Bae Jeon",
      "Chan-Byoung Chae"
    ],
    "categories": [
      "eess.SP"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "RIS-aided ISAC with $K$-Rydberg Atomic Receivers",
    "url": "https://arxiv.org/abs/2601.06809",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "87859ab5-4da7-4ff6-be95-ad92ac14182f",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}