Advancing the control of low-altitude wireless networks: architecture, design principles, and future directions
Abstract This article presents a control-oriented low-altitude wireless network (LAWN) that integrates near-ground communications with remote system state estimation, enabling reliable networked control in dynamic aerial-ground environments. We introduce the network’s modular architecture, key performance metrics, and core design trade-offs across control, communication, and estimation layers. A case study demonstrates closed-loop coordination, and we outline future directions for scalable, resilient LAWN deployments in resource-constrained scenarios.
Authors
- Jun Wu (ORCID: https://orcid.org/0000-0001-9424-1056)
- Maria Greco (ORCID: https://orcid.org/0000-0002-3804-2949)
- Abbas Jamalipour (ORCID: https://orcid.org/0000-0002-1807-7220)
- Xianbin Wang
- Haijia Jin (ORCID: https://orcid.org/0009-0001-3791-9948)
- Weijie Yuan
- Sumei Sun
- Yi Gong
- Zhiyun Lin
- George K. Karagiannidis
- Jiacheng Wang
- Dusit Niyato
- Dong In Kim
- Athina Petropulu
Institutions
- Rutgers, The State University of New Jersey (US)
- University of Pisa (IT)
- Western University (CA)
- The University of Sydney (AU)
- Nanyang Technological University (SG)
- Tohoku University (JP)
- Aristotle University of Thessaloniki (GR)
- Institute for Infocomm Research (SG)
- Southern University of Science and Technology (CN)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- npj Wireless Technology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1038/s44459-025-00010-1
- Citations
- 1
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 104.69