Robust Resource Allocation Algorithm for Secure Communication in LEO-Based Satellite Communication Systems

XU Yong-jun; LU Cheng-zhuang; DONG Yi-heng; ZHAO Tao; ZHOU Ji-hua; FU Xiao-jian

doi:10.12263/DZXB.20240743

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Robust Resource Allocation Algorithm for Secure Communication in LEO-Based Satellite Communication Systems

PAPERS | 更新时间：2025-08-18

- Robust Resource Allocation Algorithm for Secure Communication in LEO-Based Satellite Communication Systems
- ACTA ELECTRONICA SINICA Vol. 53, Issue 5, Pages: 1482-1490(2025)
- 作者机构：
  
  1.重庆邮电大学通信与信息工程学院，重庆 400065
  2.航天新通科技有限公司，重庆 401332
  3.东南大学毫米波全国重点实验室，江苏南京 210096
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.62271094(62271094;U23A20279);Natural Science Foundation of Chongqing(CSTB2022NSCQ-LZX0009;CSTB2023NSCQ-LZX0079;CSTB2023NSCQ-BSX0007);Science and Technology Research Program of Chongqing Municipal Education Commission(KJZD-K202200601)
- DOI：10.12263/DZXB.20240743
  CLC： TN927+.2
- Received：08 August 2024，
  
  Revised：2025-03-08，
  
  Published：25 May 2025
- 稿件说明：
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徐勇军, 鲁承壮, 董燚恒, 等. 低轨卫星通信系统面向安全通信的鲁棒资源分配算法[J]. 电子学报, 2025, 53(05): 1482-1490.

XU Yong-jun, LU Cheng-zhuang, DONG Yi-heng, et al. Robust Resource Allocation Algorithm for Secure Communication in LEO-Based Satellite Communication Systems[J]. Acta Electronica Sinica, 2025, 53(05): 1482-1490.
徐勇军, 鲁承壮, 董燚恒, 等. 低轨卫星通信系统面向安全通信的鲁棒资源分配算法[J]. 电子学报, 2025, 53(05): 1482-1490. DOI：10.12263/DZXB.20240743

XU Yong-jun, LU Cheng-zhuang, DONG Yi-heng, et al. Robust Resource Allocation Algorithm for Secure Communication in LEO-Based Satellite Communication Systems[J]. Acta Electronica Sinica, 2025, 53(05): 1482-1490. DOI：10.12263/DZXB.20240743

摘要

为了解决低轨卫星通信系统因广域覆盖特性导致用户信息极易被截获和窃听的问题，以及由于反馈延迟等因素导致的信道状态信息难以准确获取的问题，本文构建了存在信道不确定性的低轨卫星通信系统模型.根据用户最小安全速率约束、波束赋形功率阈值约束以及信道不确定性约束建立联合优化卫星波束赋形矢量、人工噪声矢量和功率分配因子的鲁棒优化问题.针对该含不确定性的非凸问题，提出一种基于连续凸近似、S-procedure、半正定松弛等方法的迭代鲁棒资源分配算法.仿真结果表明，所提算法满足概率较传统非鲁棒算法可提升9.62%.

Abstract

In order to solve the problem that user information is easily intercepted and eavesdropped on because of the wide area coverage of the low earth orbit satellite communication systems

as well as the problem of the difficulty of accurately obtaining channel status information due to factors such as feedback delays

etc.

this paper constructs a model of the low earth orbit (LEO) satellite communication system in the presence of channel uncertainty. Firstly

a robust resource allocation problem that jointly optimizes the satellite beamforming vectors

artificial noise vectors

and power allocation factors is established based on the minimum security rate constraint

the beamforming power threshold constraint

and the channel uncertainty constraint. Then

for this non-convex problem with uncertainty

we propose an iterative robust resource allocation algorithm based on S-procedure

semi-positive definite relaxation and successive convex approximation. Simulation results show that the proposed algorithm can improve the satisfaction probability by 9.62% compared with the traditional non-robust algorithm.

关键词

Keywords

references

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