Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems

ZHAO Wei; SONG Ao; TAO Ruixin; ZHAO Jianli; ZHANG Zhijuan

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

Chinese

您当前的位置：

首页 >

文章列表页 >

Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems

更新时间：2026-09-30

- Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems
- Telecommunications Science (2026)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(62471181);Natural Science Foundation of Hebei Province(F2022502020)
- DOI：10.11959/j.issn.1000-0801.DXKX260490
  CLC： TP929
- Received：17 July 2026，
  
  Revised：2026-08-19，
  
  Accepted：01 September 2026，
- 稿件说明：
移动端阅览
ZHAO Wei, SONG Ao, TAO Ruixin, et al. Robust Resource Allocation for STARS-Assisted Secure ISCAP Systems[J/OL]. Telecommunications Science, 2026.
DOI：

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

CHEN Y , REN Z , XU J , et al . Integrated sensing, communication, and powering: Toward multi-functional 6G wireless networks [J ] . IEEE Communications Magazine , 2025 , 63 ( 8 ): 146 - 153 .

DAI J , LIU C , PAN C , et al . Secure downlink transmission for integrated sensing, energy, and communication systems [J ] . IEEE Communications Letters , 2024 , 28 ( 9 ): 1996 - 2000 .

LIU Z , LI X , JI H , et al . Exploiting STAR-RIS for physical layer security in integrated sensing and communication networks [C ] // Proceedings of the 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) . Piscataway : IEEE Press , 2023 : 1 - 6 .

KUMAR V , CHAFII M . Green integration of sensing, communication, and power transfer via STAR-RIS [C ] // 2025 IEEE International Conference on Communications (ICC) . Montreal, Canada : IEEE , 2025 : 2894 - 2899 .

YASWANTH J , KATWE M , SINGH K , et al . Toward green communication: Power-efficient beamforming for STAR-RIS-aided SWIPT [J ] . IEEE Transactions on Green Communications and Networking , 2024 , 8 ( 4 ): 1545 - 1563 .

YANG Y , GAO H , YANG X , et al . Joint beamforming for RIS-assisted integrated communication, sensing and power transfer systems [J ] . IEEE Wireless Communications Letters , 2024 , 13 ( 2 ): 288 - 292 .

REN Z , ZHANG S , LI X , et al . Secure communications in near-field ISCAP systems with extremely large-scale antenna arrays [C ] // Proceedings of the 2024 19th International Symposium on Wireless Communication Systems (ISWCS) . Piscataway : IEEE Press , 2024 : 1 - 6 .

ZHOU Z , LI X , ZHU G , et al . Integrating sensing, communication, and power transfer: Multiuser beamforming design [J ] . IEEE Journal on Selected Areas in Communications , 2024 , 42 ( 9 ): 2228 - 2242 .

CHEN X , FENG Z , ZHANG J A , et al . Sensing-aided uplink channel estimation for joint communication and sensing [J ] . IEEE Wireless Communications Letters , 2023 , 12 ( 3 ): 441 - 445 .

WANG X , FEI Z , LIU P , et al . Sensing-aided covert communications: Turning interference into allies [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 9 ): 10726 - 10739 .

LUO C , HU J , XIANG L , et al . Reconfigurable intelligent sensing surface aided wireless powered communication networks: A sensing-then-reflecting approach [J ] . IEEE Transactions on Communications , 2024 , 72 ( 3 ): 1835 - 1848 .

WANG Z , MU X , LIU Y . STARS enabled integrated sensing and communications [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 10 ): 6750 - 6765 .

BOSHKOVSKA E , NG D W K , ZLATANOV N , et al . Robust resource allocation for MIMO wireless powered communication networks based on a non-linear EH model [J ] . IEEE Transactions on Communications , 2017 , 65 ( 5 ): 1984 - 1999 .

ZHANG Z , WU Z , ZHANG H , et al . Meta-learning-based deep reinforcement learning for multiobjective optimization problems [J ] . IEEE Transactions on Neural Networks and Learning Systems , 2023 , 34 ( 10 ): 7978 - 7991 .

MOON S , LIU H , HWANG I . Joint beamforming for RIS-assisted integrated sensing and secure communication in UAV networks [J ] . Journal of Communications and Networks , 2024 , 26 ( 5 ): 502 - 508 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

智慧风控自助建模平台研发

面向用户的多维技术服务体系及应用

AI赋能工单与投诉自动化分类的研究与实践

一种融合声纹验证的实时语音识别方法

数字化产品服务体验感知评价体系在通信运营商的研究

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰