From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Author:

Mahdi Mohammed NajahORCID,Ahmad Abdul Rahim,Qassim Qais SaifORCID,Natiq HayderORCID,Subhi Mohammed Ahmed,Mahmoud MoaminORCID

Abstract

Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next ten years. Many references suggested that the 6G wireless network standard may arrive around 2030. Therefore, this paper presents a critical analysis of 5G wireless networks’, significant technological limitations and reviews the anticipated challenges of the 6G communication networks. In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning. To this end, we present our vision on how the 6G communication networks should look like to support the applications of these domains. This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore. The main contribution of this work is to provide a more comprehensive perspective, challenges, requirements, and context for potential work in the 6G communication standard.

Funder

Universiti Tenaga Nasional (UNITEN), Innovation and Research Management Center

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference405 articles.

1. 6G White Paper on Validation and Trials for Verticals towards 2030’s; 6G Research Visionshttps://www.6gchannel.com/items/6g-white-paper-validation-trials/

2. IMT Vision–Framework and overall objectives of the future development of IMT for 2020 and beyond;Series;Recomm. ITU Geneva,2015

3. Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach

4. Integration of Energy, Computation and Communication in 6G Cellular Internet of Things

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3