{
  "abstract": "Emerging 6G industrial IoT architectures require wireless networked control systems capable of stabilizing diverse control loops over tightly constrained radio resources. Conventional periodic and Age-of-Information (AoI) based scheduling guarantees bounded staleness at the cost of persistent channel saturation. Conversely, pure event-triggered (PureET) strategies minimize transmissions but risk catastrophic silent deterioration when local sensor-side thresholds fail to reflect critical state evolution. To bridge this gap, we propose a communication-control co-design framework governed by a 6G Semantic Layer that independently arbitrates uplink and downlink resources. Instead of relying on freshness, our architecture evaluates the actual control impact of a packet using the state-to-error ratio (SER). We unify this control confidence with channel reliability in terms of signal-to-noise ratio (SNR) to orchestrate a threshold-based sensor push and a state-aware controller pull mechanism. To ensure equitable resource allocation across dynamically heterogeneous plants, the proposed framework explicitly scales actuation deadbands according to local plant dynamics. Simulations over Rayleigh-faded channels demonstrate that this approach fundamentally shifts the Pareto frontier between transmission rate and control quality. The proposed scheme achieves tracking accuracy comparable to periodic schedulers at a reduced communication overhead, while mitigating the estimation errors characteristic of PureET.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.21566",
  "author_total": 6,
  "authors": [
    {
      "name": "Muhammad Azeem Khan"
    },
    {
      "name": "Yuriy Zacchia Lun"
    },
    {
      "name": "Aamir Mahmood"
    },
    {
      "name": "Piergiuseppe Di Marco"
    },
    {
      "name": "Mikael Gidlund"
    },
    {
      "name": "Fortunato Santucci"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bjekmnk54bma3.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.21566",
  "fulltext_url": null,
  "id": "bjekmnk54bma3",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.21566",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.IT"
    ],
    [
      "arxiv",
      "math.IT"
    ],
    [
      "openalex",
      "1705|Age of Information Optimization"
    ]
  ],
  "openalex": "W7213955810",
  "pdf_url": "https://arxiv.org/pdf/2609.21566",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bjekmnk54bma3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:07Z",
      "native_id": "2609.21566",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.21566"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "Goal-Oriented Communication and Control Co-Design via Semantic Push-Pull in Industrial IoT",
  "title_text": "Goal-Oriented Communication and Control Co-Design via Semantic Push-Pull in Industrial IoT",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:07Z",
  "url": "https://research.draconitic.com/paper/bjekmnk54bma3",
  "venue": "arXiv",
  "versions": []
}