6G网络设计中基于信号强度的降雨分类机器智能方法

Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse
{"title":"6G网络设计中基于信号强度的降雨分类机器智能方法","authors":"Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse","doi":"10.1109/TELECOM56127.2022.10017308","DOIUrl":null,"url":null,"abstract":"As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.","PeriodicalId":359231,"journal":{"name":"2022 30th National Conference with International Participation (TELECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Intelligence Method for Rain Classification by Using Signal Strength for Designing of 6G Networks\",\"authors\":\"Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse\",\"doi\":\"10.1109/TELECOM56127.2022.10017308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.\",\"PeriodicalId\":359231,\"journal\":{\"name\":\"2022 30th National Conference with International Participation (TELECOM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th National Conference with International Participation (TELECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELECOM56127.2022.10017308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th National Conference with International Participation (TELECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELECOM56127.2022.10017308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于一些基本需求,包括更高的数据速率、更大的容量、更低的延迟和更好的QoS,科学家、移动提供商行业代表和学术界已经开始研究6G通信网络(服务质量)的进步(技术)。为了创建6G移动通信的技术基础,最近开发了许多涉及重要移动基础设施供应商、学术界和全球网络运营商的研究计划或项目。本文提出了一种基于人工神经网络的智能模型。该模型的测量精度为97.6%,高于其他模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Machine Intelligence Method for Rain Classification by Using Signal Strength for Designing of 6G Networks
As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deploying Different Lightweight Kubernetes on Raspberry Pi Cluster Teaching Mechatronic Systems based on a Physical Model of an Elevator Hazardous Gas Evaluation in the Atmosphere of an Open Pit Mine Using Wireless Technology Z-shape EBG Structure Improving the Phased Antenna Array Radiation Pattern with Autonomous Aerial Vehicle Navigation Application Evaluation of the Transient Process of a Buck DC - DC Converter, using FFT Analysis of the Output Voltage
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1