5G 和 6G 在医疗环境中的新兴趋势和应用调查

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Shamsher Ullah, Jianqiang Li, Jie Chen, IKRAM ALI, Salabat Khan, Abdul Ahad, Farhan Ullah, Victor Leung
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引用次数: 0

摘要

无线连接的延迟、中断或故障会对无线连接医疗设备的性能产生重大影响。研究人员提出了最快的技术创新和产业变革来解决这些问题,并改善信息和通信技术的应用。区块链技术、人工智能(AI)、虚拟现实(VR)和物联网(IoT)的应用极大地促进了 6G 通信基础设施的发展。在本文中,我们全面讨论了 6G 技术的提升、其基本架构、难点以及与之相关的其他问题。此外,我们的研究成果有助于使 6G 技术更适用于现实世界的医疗环境。本研究最重要的贡献是解释了未来研究的方向和当前的技术水平。本研究可作为未来有兴趣研究 6G 技术发展可能性的学术界研究人员的跳板。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Emerging Trends and Applications of 5G and 6G to Healthcare Environments
A delay, interruption, or failure in the wireless connection has a significant impact on the performance of wirelessly connected medical equipment. Researchers presented the fastest technological innovations and industrial changes to address these problems and improve the applications of information and communication technology. The development of the 6G communication infrastructure was greatly aided by the use of Block-chain technology, artificial intelligence (AI), virtual reality (VR), and the Internet of Things (IoT). In this paper, we comprehensively discuss 6G technologies enhancement, its fundamental architecture, difficulties, and other issues associated with it. In addition, the outcomes of our research help make 6G technology more applicable to real-world medical environments. The most important thing that this study has contributed is an explanation of the path that future research will take and the current state of the art. This study might serve as a jumping-off point for future researchers in the academic world who are interested in investigating the possibilities of 6G technological developments.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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