| 摘要: |
| 针对智能电网中移动用户（如远程巡检设备、移动维护设备等）在窃听威胁下的数据传输问题，提出了一种基于空地一体化的无人机（Unmanned Aerial Vehicle,UAV）辅助智能电网移动用户通信系统。该系统利用混合智能反射表面（Hybrid Reconfigurable Intelligent Surfaces,HRIS）与UAV协同工作，通过优化基站（Base Station,BS）的波束赋形和HRIS的反射系数矩阵，并采用双深度确定性策略梯度（Twin Deep Deterministic Policy Gradient,TDDPG）算法进行求解，在满足系统总能耗和通信服务质量（Quality of Service,QoS）要求的约束下，最大化通信系统的保密能效（Secrecy Energy Efficiency,SEE），确保移动设备的数据传输安全性和通信质量。仿真结果验证了所提模型和通信策略的有效性，保密速率相较于传统方案提升约36.8%，从物理层显著提高了智能电网中移动业务通信的安全性和能效。 |
| 关键词: 智能电网 无人机 混合智能反射表面 联合优化 双深度确定性策略梯度 |
| DOI：10.20079/j.issn.1001-893x.241025006 |
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| 基金项目: |
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| Smart Grid Mobile Safe Communication Strategy Based on Air-Ground Integration |
| LIU Chengjiang,LI Yan,YIN Pancheng,YANG Liu,SUN Wenxue |
| (1.State Grid Corporation of China Southwest Branch,Chengdu 610040,China;2.School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China) |
| Abstract: |
| To address the communication security challenges faced by mobile users in smart grids such as remote inspection devices and mobile maintenance equipment,an unmanned aerial vehicle(UAV)-assisted mobile user communication system for smart grids based on air-ground integration is proposed.The system utilizes hybrid reconfigurable intelligent surfaces(HRIS) working in coordination with UAVs.By optimizing the beamforming at the base station(BS) and the reflection coefficient matrix of the HRIS,and employing a twin deep deterministic policy gradient(TDDPG) algorithm to solve the problem,the secrecy energy efficiency(SEE) of communication system is maximized under the constraints of total system energy consumption and quality of service(QoS) requirements so as to ensure the security and quality of data transmission for mobile services in the presence of eavesdroppers.Simulation results verify the effectiveness of the proposed model and communication strategy,with the achievable secrecy rate increased by approximately 36.8% compared with that of traditional schemes,significantly improving the security and energy efficiency of mobile service communication in smart grids. |
| Key words: smart grid unmanned aerial vehicle hybrid reconfigurable intelligent surface joint optimization twin deep deterministic policy gradient |
《电讯技术》编辑部 