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

Zhengyu ZHU; Gengwang HOU; Chongwen HUANG; Gangcan SUN; Wanming HAO; Jing LIANG

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

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

Papers | 更新时间：2024-06-05

- Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN
- Journal on Communications Vol. 43, Issue 3, Pages: 172-179(2022)
- 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：
- 基金信息：
  
  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 Re-search 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 Post-doctoral Science Foundation Project(2020M682345);Henan Postdoctoral Foundation Program(202001015);Major Science and Technology Innovation Project of Zhengzhou(2019CXZX0037);The Natural Science Foundation of Zhejiang Province(LR22F010002)
- DOI：10.11959/j.issn.1000-436x.2022046
  CLC： TN92
- Online First：2022-03，
  
  Published：25 March 2022
- 稿件说明：
移动端阅览
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：

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.

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references

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