基于DDPG算法的数据传输研究
Research on data transmission based on DDPG algorithm
闫丹婷 1焦新泉1
作者信息
- 1. 中北大学仪器与电子学院仪器科学与动态测试教育部重点实验室,山西太原 030051
- 折叠
摘要
针对目前数据传输系统可靠性差、传输速率低的情况,利用FPGA和UDP协议设计了一款数据传输系统.系统采用FPGA为主控芯片,Flash为存储介质,通过上位机发送指令控制系统进行数据的存取,采用千兆以太网进行数据通信与指令接收,增加了数据重传机制以及流量控制模块,以保证数据高速可靠传输.为提高带宽利用率、降低网络时延,加入了改进的深度确定性策略梯度算法(Deep Deterministic Policy Gradient,DDPG)进行拥塞控制.实验测试结果表明,采用该算法能够显著降低网络时延,系统传输速率可达912 Mb/s,且系统可靠性高、成本低,具有移植性和实际的推广价值,也便于升级维护.
Abstract
Aiming at the poor reliability and low transmission rate of the current data transmission system,a data transmission system is designed using FPGA and UDP protocol.The system adopts FPGA as the main controller chip and Flash as the storage medium,and sends commands to control the system through the host computer to access the data,adopts Gigabit Ethernet to be in charge of data communication and command reception,and adds a data retransmission mechanism as well as a flow control module to ensure the high-speed and reliable transmission of data.In order to improve bandwidth utilization and reduce network delay,an improved Deep Deterministic Policy Gradient(DDPG)algorithm is added for congestion control.The experimental test results demonstrate that the algorithm presented in this paper can markedly reduce network latency.The system transmission rate can reach 912 Mb/s,and the system enjoys high reliability,low cost,portability,and practical promotion value.It is also conve-nient for upgrading and maintenance.
关键词
数据传输/深度强化学习算法/FPGA/可靠传输/DDPG算法/千兆以太网Key words
data transmission/deep reinforcement learning algorithms/FPGA/reliable transmission/DDPG algorithm/Gigabit Ethernet引用本文复制引用
出版年
2025
NETL
NSTL
万方数据