{
  "abstract": "Wireless digital twins (WDTs) are promising enablers for developing and evaluating AI-native radio access networks, yet constructing a high-fidelity WDT typically requires substantial manual effort to integrate heterogeneous information and infer unknown propagation-related parameters. This paper proposes Agentic WDT (AWDT), an end-to-end agentic framework for autonomous WDT construction and calibration using readily available environmental information and measurements readily obtainable from commercial smartphones. AWDT comprises three agents: EnvAgent constructs the propagation environment, OpAgent infers BS and sector configurations, and MatAgent calibrates radio material properties. The agents iteratively refine the WDT using discrepancies between LTE/NR reference signal received power (RSRP) measurements and ray-tracing predictions. Real-world experiments show that AWDT reduces the RSRP prediction MAE from 11.46 to 5.25 dB, demonstrating a substantial improvement in ray-tracing fidelity. Evaluation with an independent measurement system further demonstrates cross-device transferability with lightweight device-specific bias adaptation, highlighting the potential of agentic AI for scalable WDT construction and calibration with limited prior knowledge.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.01437",
  "author_total": 6,
  "authors": [
    {
      "name": "Fan-Hao Lin"
    },
    {
      "name": "Kun-Li Shih"
    },
    {
      "name": "Chu-Hsiang Huang"
    },
    {
      "name": "Hui Chen"
    },
    {
      "name": "Chao-Kai Wen"
    },
    {
      "name": "Henk Wymeersch"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bgdrn37kfvbak.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.01437",
  "fulltext_url": null,
  "id": "bgdrn37kfvbak",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.01437",
  "language": null,
  "licence": "CC-BY-NC-SA-4.0",
  "licence_label": "CC BY-NC-SA 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.IT"
    ],
    [
      "arxiv",
      "math.IT"
    ],
    [
      "openalex",
      "2208|Millimeter-Wave Propagation and Modeling"
    ]
  ],
  "openalex": "W7216157314",
  "pdf_url": "https://arxiv.org/pdf/2610.01437",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bgdrn37kfvbak.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:26:07Z",
      "native_id": "2610.01437",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.01437"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "Agentic Wireless Digital Twin Construction and Calibration Using Real-World Measurements",
  "title_text": "Agentic Wireless Digital Twin Construction and Calibration Using Real-World Measurements",
  "type": "preprint",
  "updated_at": "2026-10-30T12:26:07Z",
  "url": "https://research.draconitic.com/paper/bgdrn37kfvbak",
  "venue": "arXiv",
  "versions": []
}