STARS辅助ISCAP系统的鲁棒资源分配优化

赵伟; 宋翱; 陶瑞鑫; 赵建立; 张智娟

doi:10.11959/j.issn.1000-0801.DXKX260490

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STARS辅助ISCAP系统的鲁棒资源分配优化

研究与开发 | 更新时间：2026-09-30

- STARS辅助ISCAP系统的鲁棒资源分配优化
- Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems
- 电信科学 2026年
- 作者机构：
  
  华北电力大学电气与电子工程学院，保定 071003
- 作者简介：
  
  赵伟，andyzhaoster@163.com
  宋翱（2004−），男，华北电力大学电气与电子工程学院研究生，主要研究方向通信、感知、计算一体化的隐蔽通信。
  陶瑞鑫（2003−），女，华北电力大学电气与电子工程学院研究生，主要研究方向通信、感知、计算与控制一体化技术。
  赵建立（1973−），男，华北电力大学电气与电子工程学院讲师、研究生导师，主要研究方向电力通信网综合网络管理，智能电网通信技术，认知无线电通信技术等。
  张智娟（1971−），女，华北电力大学电气与电子工程学院副教授、研究生导师，主要研究方向功率变换器控制及负载拓扑结构、无限功率传输能量采集。
- 基金信息：
  
  国家自然科学基金项目(62471181);河北省自然科学基金项目(F2022502020)
- DOI：10.11959/j.issn.1000-0801.DXKX260490
  中图分类号： TP929
- 收稿：2026-07-17，
  
  修回：2026-08-19，
  
  录用：2026-09-01，
- 稿件说明：
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赵伟, 宋翱, 陶瑞鑫, 等. STARS辅助ISCAP系统的鲁棒资源分配优化[J/OL]. 电信科学, 2026.

ZHAO Wei, SONG Ao, TAO Ruixin, et al. Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems[J/OL]. Telecommunications Science, 2026.
赵伟, 宋翱, 陶瑞鑫, 等. STARS辅助ISCAP系统的鲁棒资源分配优化[J/OL]. 电信科学, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260490.

ZHAO Wei, SONG Ao, TAO Ruixin, et al. Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260490.

摘要

针对可同时透射与反射智能表面(simultaneously transmitting and reflecting surface，STARS)辅助的感知、通信与能量传输一体化(integrated sensing

communication

and power transfer，ISCAP)系统中的感知精度、通信安全与能量捕获之间的性能权衡问题，提出一种基于Stackelberg博弈的元软演员-评论家（stackelberg game-based meta soft actor-critic，ST-Meta-SAC）算法的鲁棒资源分配方案。首先，基于感知信道状态信息（channel state information，CSI）误差的约束下，推导了安全传输速率与能量捕获效率的闭式表达式。其次，在最小捕获能量的约束下，构建了一个最大化通信安全传输速率并最小化感知克拉美-罗界（Cramer-Rao bound，CRB）矩阵行列式的多目标优化问题，通过联合优化STARS透射与反射系数矩阵、感知信号协方差矩阵及信号波束成形矢量进行求解。最后，考虑到所提优化问题具有多级非凸性，传统算法难以求解，为此提出ST-Meta-SAC算法进行求解。仿真结果表明，所提方法相比基准方案具有更快的收敛速度，验证了该方法的有效性与优越性。

Abstract

To address the trade-off among communication security

sensing accuracy

and harvested energy in a simultaneously transmitting and reflecting surface (STARS)-assisted integrated sensing

communication

and power transfer (ISCAP) system

a robust resource allocation scheme based on a stackelberg game-based meta soft actor-critic (ST-Meta-SAC) algorithm is proposed. First

closed-form expressions for the secrecy rate (SR) and harvested energy are derived under the sensing channel state information (CSI) errors constraints. Subsequently

we formulate a multi-objective optimization problem that maximizes the communication secrecy rate while minimizing the determinant of the sensing Cramer-Rao bound (CRB) matrix subject to the minimum harvested energy constraint

by jointly optimizing the STARS reflection and transmission coefficient matrices

the sensing signal covariance matrix

and the signal beamforming vector. Finally

since the high-dimensional

multi-level

and non-convex nature of the problem makes it intractable for conventional methods

we propose a ST-Meta-SAC algorithm to obtain an efficient solution. Simulation results show that our proposed method outperforms benchmark schemes in terms of convergence speed

demonstrating its effectiveness.

关键词

Keywords

references

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