Robust cooperative communication optimization for multi-UAV-aided vehicular networks

Zhang, Songge, Zhou, Jianshan, Tian, Daxin, Sheng, Zhengguo, Duan, Xuting and Leung, Victor C M (2021) Robust cooperative communication optimization for multi-UAV-aided vehicular networks. IEEE Wireless Communications Letters, 10 (4). pp. 780-784. ISSN 2162-2337

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Abstract

Aerial-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.

Item Type: Article
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Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 07 Dec 2020 07:59
Last Modified: 11 Feb 2022 14:30
URI: http://sro.sussex.ac.uk/id/eprint/95540

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