Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment

IF 6.6 1区计算机科学 Q1 Multidisciplinary

Tsinghua Science and Technology Pub Date : 2024-06-20 DOI:10.26599/TST.2024.9010005

Ashish Bagwari;Jaganathan Logeshwaran;M. Raja;P. Devisivasankari;Jyotshana Bagwari;Vikas Rathi;Asma Mohammed Elbashir Saad

{"title":"Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment","authors":"Ashish Bagwari;Jaganathan Logeshwaran;M. Raja;P. Devisivasankari;Jyotshana Bagwari;Vikas Rathi;Asma Mohammed Elbashir Saad","doi":"10.26599/TST.2024.9010005","DOIUrl":null,"url":null,"abstract":"Currently, the 4G network service has caused massive digital growth in high use. Video calling has become the go-to Internet application for many people, downloading even huge files in minutes. Everyone is looking for and buying only 4G Subscriber Identity Module (SIM)-capable mobiles. In this case, the expectation of 5G has increased in line with 2G, 3G, and 4G, where the G stands for generation, and it does not indicate Internet or Internet speed. 5G includes next-generation features that are more advanced than those available in 4G network services. The main objective of 5G is uninterrupted telecommunication service in hybrid energy storage system. This paper proposes an intelligent networking model to obtain the maximum energy efficiency and Artificial Intelligence (AI) automation of 5G networks. There is currently an issue where the signal cuts out when crossing an area with one tower and traveling to an area with another tower. The problem of “call drop”, where the call is disconnected while talking, is not present in 5G. The proposed Intelligent Computational Model (ICM) model obtained 96.31% network speed management, 90.63% battery capacity management, 92.27% network device management, 93.57% energy efficiency, and 88.41% AI automation.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"29 6","pages":"1728-1751"},"PeriodicalIF":6.6000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10566004","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tsinghua Science and Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10566004/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}

引用次数: 0

Abstract

Currently, the 4G network service has caused massive digital growth in high use. Video calling has become the go-to Internet application for many people, downloading even huge files in minutes. Everyone is looking for and buying only 4G Subscriber Identity Module (SIM)-capable mobiles. In this case, the expectation of 5G has increased in line with 2G, 3G, and 4G, where the G stands for generation, and it does not indicate Internet or Internet speed. 5G includes next-generation features that are more advanced than those available in 4G network services. The main objective of 5G is uninterrupted telecommunication service in hybrid energy storage system. This paper proposes an intelligent networking model to obtain the maximum energy efficiency and Artificial Intelligence (AI) automation of 5G networks. There is currently an issue where the signal cuts out when crossing an area with one tower and traveling to an area with another tower. The problem of “call drop”, where the call is disconnected while talking, is not present in 5G. The proposed Intelligent Computational Model (ICM) model obtained 96.31% network speed management, 90.63% battery capacity management, 92.27% network device management, 93.57% energy efficiency, and 88.41% AI automation.

查看原文本刊更多论文

面向 5G 通信环境中网络设备能效和人工智能自动化的智能计算模型

目前，4G 网络服务已引起大量数字增长，使用率很高。视频通话已成为许多人的首选网络应用，即使下载巨大的文件也只需几分钟。每个人都在寻找和购买只支持 4G 用户身份模块（SIM）的手机。在这种情况下，人们对 5G 的期望值与 2G、3G 和 4G 一致，其中 G 代表一代，并不表示互联网或互联网速度。5G 包括比 4G 网络服务更先进的下一代功能。5G 的主要目标是在混合储能系统中提供不间断的电信服务。本文提出了一种智能网络模型，以获得 5G 网络的最大能效和人工智能（AI）自动化。目前存在的一个问题是，当穿过一个信号塔所在区域并到达另一个信号塔所在区域时，信号会中断。5G 不存在 "掉线 "问题，即通话过程中断开连接。所提出的智能计算模型（ICM）获得了 96.31% 的网络速度管理、90.63% 的电池容量管理、92.27% 的网络设备管理、93.57% 的能源效率和 88.41% 的人工智能自动化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

10.20

自引率

10.60%

发文量

2340

期刊介绍： Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.