{
  "abstract": "Global channel state information (CSI) acquisition is essential for cooperative precoding in distributed multiple-input multiple-output (DMIMO) systems, but uploading full instantaneous CSI from all distributed antennas creates heavy fronthaul overhead. This paper proposes a fronthaul-efficient acquisition framework based on graph neural network (GNN) reconstruction and task-driven antenna selection. Each transmission and reception point (TRP) uploads only selected antenna CSI, while the centralized unit (CU) reconstructs the full global CSI from partial observations. A universal mask-conditioned GNN is trained with random upload masks, used to evaluate antenna subsets under a fronthaul budget, and then fine-tuned for the selected deployment mask. Simulation results show improved CSI reconstruction accuracy with lower fronthaul and pilot overhead.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.23365",
  "author_total": 6,
  "authors": [
    {
      "name": "Haojin Li"
    },
    {
      "name": "Kaiqian Qu"
    },
    {
      "name": "Anbang Zhang"
    },
    {
      "name": "Chen Sun"
    },
    {
      "name": "Wenqi Zhang"
    },
    {
      "name": "Haijun Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8drfd8g9hsgew.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.23365",
  "fulltext_url": null,
  "id": "8drfd8g9hsgew",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.23365",
  "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",
      "2208|Advanced MIMO Systems Optimization"
    ]
  ],
  "openalex": "W7214028148",
  "pdf_url": "https://arxiv.org/pdf/2609.23365",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-20",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8drfd8g9hsgew.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:27Z",
      "native_id": "2609.23365",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.23365"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "GNN-Based Global CSI Reconstruction for Fronthaul-Limited Distributed MIMO Systems",
  "title_text": "GNN-Based Global CSI Reconstruction for Fronthaul-Limited Distributed MIMO Systems",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:27Z",
  "url": "https://research.draconitic.com/paper/8drfd8g9hsgew",
  "venue": "arXiv",
  "versions": []
}