Toward Multi-Functional LAWNs With ISAC: Opportunities, Challenges, and the Road Ahead

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Authors: Jun Wu, Weijie Yuan, Xiaoqi Zhang, Yaohuan Yu, Yuanhao Cui, Fan Liu, Geng Sun, Jiacheng Wang, Dusit Niyato, Dong In Kim
Cited by: 9

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.

Fields of Study & Subjects

Natural Language Processing Techniques Intelligent Tutoring Systems and Adaptive Learning Underwater Vehicles and Communication Systems

Publication details

Journal / source
IEEE Wireless Communications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Pages
1–8
Publication date
1 January 2026
Language
EN