通信学报 ›› 2022, Vol. 43 ›› Issue (3): 172-179.doi: 10.11959/j.issn.1000-436x.2022046

• 学术论文 • 上一篇    下一篇

基于并行CNN的RIS辅助D2D保密通信系统资源分配算法

朱政宇1,2, 侯庚旺1, 黄崇文3, 孙钢灿1, 郝万明1, 梁静4   

  1. 1 郑州大学信息工程学院,河南 郑州 450001
    2 郑州大学电子材料与系统国际联合研究中心,河南 郑州 450001
    3 浙江大学信息与电子工程学院,浙江 杭州 310027
    4 郑州大学电气工程学院,河南 郑州 450001
  • 修回日期:2022-01-20 出版日期:2022-03-25 发布日期:2022-03-01
  • 作者简介:朱政宇(1988- ),男,河南鹿邑人,博士,郑州大学副教授,主要研究方向为智能反射面技术、物理层安全技术、无线通信与信号处理等
    侯庚旺(1996- ),男,河南林州人,郑州大学硕士生,主要研究方向为物理层安全技术与机器学习
    黄崇文(1986- ),男,浙江杭州人,博士,浙江大学研究员,主要研究方向为智能超表面、深度学习、B5G/6G 通信等
    孙钢灿(1977- ),男,河南濮阳人,博士,郑州大学教授,主要研究方向为深度学习、机器学习、无线通信、物理层安全技术等
    郝万明(1988- ),男,河南林州人,博士,郑州大学副研究员,主要研究方向为毫米波通信、大规模 MIMO 技术、物理层安全技术等
    梁静(1981- ),女,河南兰考人,博士,郑州大学教授,主要研究方向为计算智能、智能优化及机器学习等
  • 基金资助:
    国家自然科学基金资助项目(61922072);国家自然科学基金资助项目(62101499);国家自然科学基金资助项目(62101492);国家重点研发计划基金资助项目(2019QY0302);国家重点研发计划基金资助项目(2019YFB1803200);国家重点研发计划基金资助项目(2021YFA1000500);中国博士后科学基金资助项目(2020M682345);河南省博士后经费资助项目(202001015);郑州市重大科技创新专项基金资助项目(2019CXZX0037);浙江省自然科学基金资助项目(LR22F010002)

Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN

Zhengyu ZHU1,2, Gengwang HOU1, Chongwen HUANG3, Gangcan SUN1, Wanming HAO1, Jing LIANG4   

  1. 1 School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
    2 National Center for International Joint Research of Electronic Materials and Systems, Zhengzhou University, Zhengzhou 450001, China
    3 School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
    4 School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
  • Revised:2022-01-20 Online:2022-03-25 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(61922072);The National Natural Science Foundation of China(62101499);The National Natural Science Foundation of China(62101492);The National Key Research and Development Program of China(2019QY0302);The National Key Research and Development Program of China(2019YFB1803200);The National Key Research and Development Program of China(2021YFA1000500);China Postdoctoral Science Foundation Funded Project(2020M682345);Henan Postdoctoral Foundation(202001015);Science and Technology Innovation Project of Zhengzhou(2019CXZX0037);The Natural Science Foundation of Zhejiang Province(LR22F010002)

摘要:

为满足智能信号处理和物理层安全需求,针对频谱资源紧缺问题,提出了一种智能超表面辅助设备到设备(D2D)通信的资源分配算法。D2D 用户通过复用蜂窝用户频谱资源实现通信,考虑 D2D 传输速率、基站发射功率和RIS发射相移约束,构建了用户保密速率最大化问题。为了解决该非线性规划问题,提出了一种并行卷积神经网络算法,以得到最佳资源分配方案。仿真结果表明,所提算法能够有效提高系统保密速率,且明显优于其他基准算法。

关键词: D2D通信, 智能超表面, 资源分配, 保密速率, 卷积神经网络

Abstract:

To meet the requirements of intelligent signal processing and physical layer security, aiming at the shortage of spectrum resources, a resource allocation algorithm for reconfigurable intelligent surface (RIS)-assisted the device to device (D2D) communication was proposed.D2D users communicated by multiplexing the spectrum resources of cellular users.Considering the constraints of D2D transmission rate, base station transmission power and RIS transmission phase shift, the problem of maximizing user security rate was formulated.To solve the nonlinear programming problem, a parallel convolutional neural network (CNN) algorithm was proposed to obtain the optimal resource allocation scheme.Simulation results show that the parallel CNN algorithm can effectively improve the secrecy rate and it is significantly better than other benchmark algorithms.

Key words: D2D communication, reconfigurable intelligent surface, resource allocation, secrecy rate, convolutional neural network

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