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UAV-Relay-Aided Secure Maritime Networks Coexisting With Satellite Networks: Robust Beamforming and Trajectory Optimization

  • Yu Yao
  • , Wenqi Xiao
  • , Pu Miao
  • , Gaojie Chen
  • , Haitao Yang
  • , Chan Byoung Chae
  • , Kai Kit Wong
  • Hainan University
  • Qingdao University
  • Sun Yat-Sen University
  • Yonsei University
  • University College London

科研成果: 期刊稿件文章同行评审

39 引用 (Scopus)

摘要

Hybrid satellite-uncrewed aerial vehicle (UAV)-terrestrial networks (SUTNs) can provide maritime users with ubiquitous communication services. However, eavesdropping poses a significant challenge to the secure communications of SUTNs due to their wide-area coverage. In this paper, we propose a novel secure scheme for maritime communications, where a terrestrial-UAV integrated network coexists with marine satellite (MS) systems in the presence of an eavesdropper (Eve). Considering imperfect channel state information (CSI) for both the MS and Eve, we focus on the collaborative design of beamforming for the terrestrial base station (TBS), UAV, and MS, as well as the UAV’s trajectory. A robust optimization problem is formulated to maximize the worst-case secrecy rate, subject to constraints on worst-case communication quality for each user, UAV locations, and TBS backhaul throughput. To tackle this intractable non-convex problem, we leverage the S-procedure, general sign-definiteness, and successive convex approximation (SCA) to propose a security solution that efficiently optimizes all variables using convex optimization techniques. Numerical results validate the effectiveness of the proposed solution, illustrating the impact of CSI errors and the secure performance enhancements achieved through joint trajectory and beamforming optimization.

源语言英语
页(从-至)2342-2358
页数17
期刊IEEE Transactions on Wireless Communications
25
DOI
出版状态已出版 - 2026

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 14 - 水下生物
    可持续发展目标 14 水下生物

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