{
  "abstract": "In unmanned aerial vehicle (UAVs) networks, joint communication and sensing (JCAS) is emerging as a key enabler to support extended and continuous communication and sensing capabilities for sixth-generation (6G) services among UAVs operating in swarms. Within this framework, aerial corridors provide a structured environment for supporting coordinated and reliable operations. In this paper, a comprehensive frame- work is presented to investigate the JCAS coverage probability (CP) of a UAV-base station (BS) in an aerial corridor populated by UAV-user equipments (UEs). The corridor is modeled as a finite cylinder, within which a fixed number of UAV-UEs are spatially distributed according to a three-dimensional (3D) binomial point process (BPP). The UAV-BS is assumed to be equipped with a realistic 3D third generation partnership project (3GPP) antenna pattern and exploits radar sensing capabilities to track a known UAV-UE. Subsequently, the tracked UAV-UE is assumed to perform uplink communication with the UAV-BS. Accordingly, the JCAS CP at the UAV-BS is analyzed under the presence of clutter and uplink communication interference, and exact-form analytical expressions are derived. To the best of our knowledge, this is the first work to develop a stochastic geometry framework for the rigorous analysis of JCAS performance in aerial corridors, with UAV-UE locations modeled as a 3D BPP. Among several insights, results show that increasing the directivity of the UAV-BS antenna beams leads to notable JCAS performance gains, particularly for shorter UAV corridors.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.01359",
  "author_total": 4,
  "authors": [
    {
      "name": "Harris K. Armeniakos"
    },
    {
      "name": "Petros S. Bithas"
    },
    {
      "name": "Athanasios G. Kanatas"
    },
    {
      "name": "Harpreet S. Dhillon"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9vxbhh5jmkdt0.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.01359",
  "fulltext_url": null,
  "id": "9vxbhh5jmkdt0",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.01359",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.IT"
    ],
    [
      "arxiv",
      "math.IT"
    ],
    [
      "openalex",
      "2202|UAV Applications and Optimization"
    ]
  ],
  "openalex": "W7216188245",
  "pdf_url": "https://arxiv.org/pdf/2610.01359",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9vxbhh5jmkdt0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:26:07Z",
      "native_id": "2610.01359",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.01359"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "Joint Communication and Sensing in Aerial Corridors: A Novel Stochastic Geometry Framework",
  "title_text": "Joint Communication and Sensing in Aerial Corridors: A Novel Stochastic Geometry Framework",
  "type": "preprint",
  "updated_at": "2026-10-30T12:26:07Z",
  "url": "https://research.draconitic.com/paper/9vxbhh5jmkdt0",
  "venue": "arXiv",
  "versions": []
}