基于并行CNN的RIS辅助D2D保密通信系统资源分配算法

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

Abstract

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

CLC Number:

TN92

Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, Gangcan SUN, Wanming HAO, Jing LIANG. Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN[J]. Journal on Communications, 2022, 43(3): 172-179.

Figures/Tables 10

References 29

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参数	取值
RIS-D2D小区半径/m	500
D2D最大通信距离/m	10~50
D2D用户数	[8,20]
BS最大发射功率/dBm	25
D2D发射功率/dBm	10
噪声功率密度/(dBm?Hz^-1)	-116
路径损失指数	2
路径损失常数	1
阴影衰落/dB	8
D2D用户最低SINR/dB	7
学习率	0.01
Dropout	0.5
优化器	Adam
Batch size	16

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

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