Spatial Resource Allocation for Optical IRS-Aided HAP-Assisted Multi-UAV Networks
This paper investigates resource allocation for optical intelligent reflecting surfaces (OIRS) on high-altitude platforms (HAPs) supporting multiple UAV-mounted base stations. We propose a rate-optimized spatial resource allocation (R-SRA) scheme that first maximizes the number of QoS-guaranteed UAVs, then allocates remaining OIRS elements to boost the total system rate. Numerical results show R-SRA outperforms conventional methods, even with UAV mobility.
Authors
- Chuyen T. Nguyen (ORCID: https://orcid.org/0000-0001-7264-1024)
- V. Vuong (ORCID: https://orcid.org/0000-0002-3309-0239)
- Anh T. Pham (ORCID: https://orcid.org/0000-0002-5143-1498)
- Khanh D. Dang (ORCID: https://orcid.org/0000-0002-8604-464X)
- Hoang D. Le (ORCID: https://orcid.org/0009-0000-9350-2840)
Institutions
- University of Bradford (GB)
- University of Aizu (JP)
- Hanoi University of Science and Technology (VN)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174814
- Citations
- 1
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 4.99