UAV Communication in Space–Air–Ground Integrated Networks (SAGINs): Technologies, Applications, and Challenges
With the continuous advancement of 6G technology, SAGINs provide seamless coverage and efficient connectivity for future communications by integrating terrestrial, aerial, and satellite networks. Unmanned aerial vehicles (UAVs), owing to their high maneuverability and flexibility, have emerged as a critical component of the aerial layer in SAGINs. In this paper, we systematically review the key technologies, applications, and challenges of UAV-assisted SAGINs. First, the hierarchical architecture of SAGINs and their dynamic heterogeneous characteristics are elaborated on, and this is followed by an in-depth discussion of UAV communication. Subsequently, the core technologies of UAV-assisted SAGINs are comprehensively analyzed across five dimensions—routing protocols, security control, path planning, resource management, and UAV deployment—highlighting the progress and limitations of existing research. In terms of applications, UAV-assisted SAGINs demonstrate significant potential in disaster recovery, remote network coverage, smart cities, and agricultural monitoring. However, their practical deployment still faces challenges such as dynamic topology management, cross-layer protocol adaptation, energy-efficiency optimization, and security threats. Finally, we summarize the applications and challenges of UAV-assisted SAGINs and provide prospects for future research directions.
Authors
- Lizhuang Tan (ORCID: https://orcid.org/0000-0001-6826-4596)
- Shengpeng Chen (ORCID: https://orcid.org/0009-0007-0558-3275)
- Guilong Wang (ORCID: https://orcid.org/0000-0002-9195-9350)
- Xiujue Zheng (ORCID: https://orcid.org/0000-0002-7038-1692)
- Peiying Zhang (ORCID: https://orcid.org/0000-0002-0990-5581)
- Ruixin Wang (ORCID: https://orcid.org/0000-0002-4395-8492)
- Jian Wang (ORCID: https://orcid.org/0000-0002-4316-932X)
- Peiyan Li (ORCID: https://orcid.org/0000-0001-8440-0674)
Institutions
- Qilu University of Technology (CN)
- Qingdao Academy of Intelligent Industries (CN)
- Institute of Software (CN)
- Shandong Academy of Sciences (CN)
- China University of Petroleum, East China (CN)
Publication Details
- Journal
- Drones
- Published
- 2025-02-01
- DOI
- https://doi.org/10.3390/drones9020108
- Citations
- 17
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 84.89
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Shandong Academy of Sciences
- Qilu University of Technology