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5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-09-04 , DOI: arxiv-2009.02131
Wei Duan, Yancheng Ji, Yan Zhang, Guoan Zhang, Valerio Frascolla and Xin Li

Currently, many countries are facing the problems of aging population, serious imbalance of medical resources supply and demand, as well as uneven geographical distribution, resulting in a huge demand for remote e-health. Particularly, with invasions of COVID-19, the health of people and even social stability have been challenged unprecedentedly. To contribute to these urgent problems, this article proposes a general architecture of the remote e-health, where the city hospital provides the technical supports and services for remote hospitals. Meanwhile, 5G technologies supported telemedicine is introduced to satisfy the high-speed transmission of massive multimedia medical data, and further realize the sharing of medical resources. Moreover, to turn passivity into initiative to prevent COVID-19, a broad area epidemic prevention and control scheme is also investigated, especially for the remote areas. We discuss their principles and key features, and foresee the challenges, opportunities, and future research trends. Finally, a node value and content popularity based caching strategy is introduced to provide a preliminary solution of the massive data storage and low-latency transmission.

中文翻译:

基于 5G 技术的远程电子健康:架构、应用和解决方案

当前,许多国家面临人口老龄化、医疗资源供需严重失衡、地域分布不均等问题,导致远程电子医疗需求巨大。特别是随着COVID-19的入侵,人们的健康乃至社会稳定都受到了前所未有的挑战。为了解决这些紧迫的问题,本文提出了远程电子医疗的总体架构,其中城市医院为远程医院提供技术支持和服务。同时,引入支持远程医疗的5G技术,满足海量多媒体医疗数据的高速传输,进一步实现医疗资源共享。此外,将被动变为主动以预防 COVID-19,还研究了大面积的疫情防控方案,特别是针对偏远地区。我们讨论了它们的原理和主要特征,并预见了挑战、机遇和未来的研究趋势。最后,引入基于节点价值和内容流行度的缓存策略,为海量数据存储和低延迟传输提供初步解决方案。
更新日期:2020-09-07
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