检索结果-南通市图书馆

Intelligent throughput stabilizer for UDP-based rate-control communication system

Intelligent and Converged Networks 2021年第3期2卷 205-212页

作者： michiko harayama Noboru Miyagawa Department of Electric Electronics and Informatics Faculty of EngineeringGifu UniversityGifu 501-1193Japan Department of Intelligence Science and Engineering Graduate School of Natural Science and TechnologyGifu UniversityGifu 501-1193Japan

michiko harayama*and Noboru Miyagawa Abstract:In view of the successful application of deep learning,mainly in the field of image recognition,deep learning applications are now being explored in the fields of communication and computer *** these fields,systems have been developed by use of proper theoretical calculations and ***,due to the large amount of data to be processed,proper processing takes time and deviations from the theory sometimes occur due to the inclusion of uncertain ***,deep learning or nonlinear approximation by neural networks may be useful in some *** have studied a user datagram protocol(UDP)based rate-control communication system called the simultaneous multipath communication system(SMPC),which measures throughput by a group of packets at the destination node and feeds it back to the source node *** comparing the throughput with the recorded transmission rate,the source node detects congestion on the transmission route and adjusts the packet transmission ***,the throughput fluctuates as packets pass through the route,and if it is fed back directly,the transmission rate fluctuates greatly,causing the fluctuation of the throughput to become even *** addition,the average throughput becomes even *** this study,we tried to stabilize the transmission rate by incorporating prediction and learning performed by a neural *** prediction is performed using the throughput measured by the destination node,and the result is learned so as to generate a stabilizer.A simple moving average method and a stabilizer using three types of neural networks,namely multilayer perceptrons,recurrent neural networks,and long short-term memory,were built into the transmission controller of the *** results showed that not only fluctuation reduced but also the average throughput ***,the results demonstrated that deep learning can be used to predict and output stable v

关键词： throughput stabilizer rate control communication congestion control neural network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：