2020_WCL_UAV_vehicular_opt.pdf (1.24 MB)
Robust cooperative communication optimization for multi-UAV-aided vehicular networks
journal contribution
posted on 2023-06-09, 22:22 authored by Songge Zhang, Jianshan Zhou, Daxin Tian, Zhengguo ShengZhengguo Sheng, Xuting Duan, Victor C M LeungAerial-ground cooperative vehicular networks are envisioned as a novel paradigm in B5G/6G visions. In this letter, the challenge of optimizing the global energy-efficiency (EE) of multi-UAV-aided vehicular networks in the presence of uncertain air-to-ground (A2G) channels is addressed. Specifically, we propose a maximin paradigm to characterize the system, which aims to maximize its global EE meanwhile satisfying Quality-of-Service (QoS)-oriented data rate requirements in the worst-case situation. We theoretically derive a closed-form optimal solution for an embedded minimization subproblem under a parametric channel uncertainty set and thus develop a computationally tractable robust counterpart, which leads to a robust EE optimization design. Simulation results show that the proposed method significantly outperforms conventional EE schemes in terms of achieving higher global system performance and better robustness under random uncertain environments.
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Wireless Communications LettersISSN
2162-2337Publisher
IEEEExternal DOI
Issue
4Volume
10Page range
780-784Department affiliated with
- Engineering and Design Publications
Notes
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2020-12-07First Open Access (FOA) Date
2021-01-12First Compliant Deposit (FCD) Date
2020-12-07Usage metrics
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