协作速率分割多址接入辅助的多站通感一体化波束赋形设计

李若光; 王琰; 陈颖玚; 韩光洁

doi:10.12263/DZXB.20250323

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协作速率分割多址接入辅助的多站通感一体化波束赋形设计

学术论文 | 更新时间：2025-08-18

- 协作速率分割多址接入辅助的多站通感一体化波束赋形设计
- Beamforming Design for Coordinated RSMA Assisted Multi-Static Integrated Sensing and Communication
- 电子学报 2025年53卷第5期页码：1491-1499
- 作者机构：
  
  1.河海大学信息科学与工程学院，江苏常州 213200
  2.暨南大学信息科学技术学院，广东广州 510632
- 作者简介：
  
  [ "李若光男，1990年12月出生于甘肃省兰州市.现为河海大学信息科学与工程学院副教授，硕士生导师.主要研究方向为通感一体化、信道知识地图、低空智联网.中国电子学会会员编号：E190159643M.E-mail: ruoguangli@hhu.edu.cn" ]
  [ "王琰女，2004年10月出生于河南省周口市.现为河海大学信息科学与工程学院本科生.主要研究方向为无人机通感一体化.E-mail: 2262310105@hhu.edu.cn" ]
  [ "陈颖玚女，1990年7月出生于重庆市.现为暨南大学信息科学技术学院副教授，硕士生导师.主要研究方向为新型多址接入、移动边缘智能、低空智联网.E-mail: chenyy@jnu.edu.cn" ]
  [ "韩光洁男，1972年8月出生于黑龙江省绥化市.现为河海大学信息科学与工程学院院长，教授，博士生导师.主要研究方向为水声通信与组网、水利智能物联网、人工智能、网络与安全等.中国电子学会会员编号：E190157962M.E-mail: hanguangjie@gmail.com" ]
- 基金信息：
  
  国家自然科学基金(62301157);江苏省自然科学基金(BK20230823);广东省基础与应用基础研究基金(2023A1515012892;2024B1515020002)
- DOI：10.12263/DZXB.20250323
  中图分类号： TN929.5;
- 收稿：2025-04-23，
  
  修回：2025-05-10，
  
  纸质出版：2025-05-25
- 稿件说明：
移动端阅览
李若光, 王琰, 陈颖玚, 等. 协作速率分割多址接入辅助的多站通感一体化波束赋形设计[J]. 电子学报, 2025, 53(05): 1491-1499.

LI Ruo-guang, WANG Yan, CHEN Ying-yang, et al. Beamforming Design for Coordinated RSMA Assisted Multi-Static Integrated Sensing and Communication[J]. Acta Electronica Sinica, 2025, 53(05): 1491-1499.
李若光, 王琰, 陈颖玚, 等. 协作速率分割多址接入辅助的多站通感一体化波束赋形设计[J]. 电子学报, 2025, 53(05): 1491-1499. DOI：10.12263/DZXB.20250323

LI Ruo-guang, WANG Yan, CHEN Ying-yang, et al. Beamforming Design for Coordinated RSMA Assisted Multi-Static Integrated Sensing and Communication[J]. Acta Electronica Sinica, 2025, 53(05): 1491-1499. DOI：10.12263/DZXB.20250323

摘要

本文提出了一种协作速率分割多址接入（Coordinated Rate-Splitting Multiple Access，CoRSMA）辅助的多站通信感知一体化（Integrated Sensing And Communication，ISAC）波束优化方案，以更为灵活地实现定制化的通信和感知业务.本文建立了各基站（Base Station，BS）公有流和私有流的接收信号模型，以及感知回波信号模型，分析波束赋形向量与通信速率和感知信噪比（Signal-to-Noise Ratio，SNR）之间的关系.在保证特定区域感知性能的条件下，以最大化最差情况下用户设备（User Equipment，UE）的通信和速率为优化目标，对所有BS的波束赋形向量进行联合优化.为了有效求解所构建的优化问题，通过引入辅助变量，并结合连续凸逼近（Successive Convex Approximation，SCA）方法对原始优化问题的非凸目标和约束进行松弛转换，进一步利用半正定规划（Semi-Definite Programming，SDP）技术得到最优波束赋形.仿真结果显示，所提出的CoRSMA-ISAC系统在通信和感知性能上均优于基于空分多址接入（Spatial Division Multiple Access，SDMA）与非正交多址接入（Non-Orthogonal Multiple Access，NOMA）辅助的ISAC系统.

Abstract

To achieve customized communication and sensing service more flexibly

a beamforming optimization for coordinated rate-splitting multiple access (CoRSMA) assisted multi-static integrated sensing and communication (ISAC) is proposed in the paper. The received signal of common stream

private stream

and sensing echo from each base station (BS) is modeled

and the relationship between the beamforming vector and communication rate/sensing signal-to-noise ratio (SNR) is analyzed. Aiming to maximize the sum communication rate of the worst-case user equipment (UE) under the constraints of sensing performance requirement within a prescribed region

the beamforming vectors of all BSs are jointly optimized. To efficiently solve the formulated problem

the non-convex objective and constraints are relaxed into convex ones by introducing auxiliary variables and applying successive convex approximation (SCA) technique

and then the optimal beamforming vectors can be obtained via semi-definite programming (SDP) technique. Simulation results demonstrate that our proposed CoRSMA-ISAC system outperforms the ISAC system with spatial division multiple access (SDMA) and non-orthogonal multiple access (NOMA) in terms of both communication and sensing performance.

关键词

Keywords

references

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