{
  "abstract": "Integrated sensing and communication (ISAC) enables simultaneous communication and environmental sensing in unmanned aerial vehicle (UAV) networks, but its performance is constrained by the physical antenna aperture and residual self-interference (SI) in full-duplex (FD) sensing. To address these issues, we propose a shared-aperture ISAC architecture in which a sparse co-prime array (CPA) is embedded in a uniform linear array (ULA) grid for FD sensing, while the remaining antenna positions support time-division duplexing (TDD) communication. We characterize the sensing performance through an order-wise Cramer-Rao bound (CRB) analysis, showing that the CPA achieves a stronger asymptotic sensing gain than the partitioned ULA benchmark in both single-target and nondegenerate multi-target scenarios. We further reveal a space-time sampling tradeoff under the same physical aperture. Based on the proposed architecture, we formulate a non-convex joint resource allocation problem that maximizes the weighted downlink-uplink sum rate by jointly designing the sensing transmit covariance, downlink precoder, and uplink receive beamformers under sensing accuracy, BS transmit-power, communication QoS, and residual SI constraints. An alternating-optimization-based algorithm is developed. Simulations demonstrate consistent performance gains over the considered baselines and confirm the complementary benefits of the CPA virtual aperture and sensing covariance optimization.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.01979",
  "author_total": 5,
  "authors": [
    {
      "name": "Jing Zhang"
    },
    {
      "name": "Yuxiao Liu"
    },
    {
      "name": "Jiayi Sun"
    },
    {
      "name": "Junliang Ye"
    },
    {
      "name": "Derrick Wing Kwan Ng"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/afz8yx8ggx1wq.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.01979",
  "fulltext_url": null,
  "id": "afz8yx8ggx1wq",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.01979",
  "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",
      "2202|Radar Systems and Signal Processing"
    ]
  ],
  "openalex": "W7207622925",
  "pdf_url": "https://arxiv.org/pdf/2609.01979",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/afz8yx8ggx1wq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:20Z",
      "native_id": "2609.01979",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.01979"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "ISAC with Co-Prime Arrays: Virtual-Aperture Sensing and uplink downlink communications",
  "title_text": "ISAC with Co-Prime Arrays: Virtual-Aperture Sensing and uplink downlink communications",
  "type": "preprint",
  "updated_at": "2026-10-30T12:18:20Z",
  "url": "https://research.draconitic.com/paper/afz8yx8ggx1wq",
  "venue": "arXiv",
  "versions": []
}