{"ID":2878916,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.17354","arxiv_id":"2508.17354","title":"Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead","abstract":"Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental perception and data exchange across aerial-ground systems. In this article, we first explore the roles of ISAC in LAWNs from both node-level and network-level perspectives. We highlight the performance gains achieved through hierarchical integration and cooperation, wherein key design trade-offs are demonstrated. Apart from physical-layer enhancements, emerging LAWN applications demand broader functionalities. To this end, we propose a multi-functional LAWN framework that extends ISAC with capabilities in control, computation, wireless power transfer, and large language model (LLM)-based intelligence. We further provide a representative case study to present the benefits of ISAC-enabled LAWNs and the promising research directions are finally outlined.","short_abstract":"Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental perception and data exchange across aerial-ground systems. In this article, we first explore the roles of ISAC in LAWNs from both node-level an...","url_abs":"https://arxiv.org/abs/2508.17354","url_pdf":"https://arxiv.org/pdf/2508.17354v1","authors":"[\"Jun Wu\",\"Weijie Yuan\",\"Xiaoqi Zhang\",\"Yaohuan Yu\",\"Yuanhao Cui\",\"Fan Liu\",\"Geng Sun\",\"Jiacheng Wang\",\"Dusit Niyato\",\"Dong In Kim\"]","published":"2025-08-24T13:21:52Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}