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; 侯庚旺; 黄崇文; 孙钢灿; 郝万明; 梁静

doi:10.11959/j.issn.1000-436x.2022046

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基于并行CNN的RIS辅助D2D保密通信系统资源分配算法

学术论文 | 更新时间：2024-06-05

- 基于并行CNN的RIS辅助D2D保密通信系统资源分配算法
- Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN
- 通信学报 2022年43卷第3期页码：172-179
- 作者机构：
  
  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
- 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" ]
- 基金信息：
  
  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)
- DOI：10.11959/j.issn.1000-436x.2022046
  中图分类号： TN92
- 网络首发：2022-03，
  
  纸质出版：2022-03-25
- 稿件说明：
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朱政宇, 侯庚旺, 黄崇文, 等. 基于并行CNN的RIS辅助D2D保密通信系统资源分配算法[J]. 通信学报, 2022,43(3):172-179.

Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, et al. Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN[J]. Journal on Communications, 2022, 43(3): 172-179.
朱政宇, 侯庚旺, 黄崇文, 等. 基于并行CNN的RIS辅助D2D保密通信系统资源分配算法[J]. 通信学报, 2022,43(3):172-179. DOI： 10.11959/j.issn.1000-436x.2022046.

Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, et al. Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN[J]. Journal on Communications, 2022, 43(3): 172-179. DOI： 10.11959/j.issn.1000-436x.2022046.

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。

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.

关键词

Keywords

references

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