Role of 5G Networks in Healthcare Management System

Author:

Prasad Durga,Kudva Vidya,Singh Ashish,Hegde Roopa B.,Rukmini Pradyumna Gopalakrishna

Abstract

The present-day healthcare system operates on a 4G network, where the data rate needed for many IoT devices is impossible. Also, the latency involved in the network does not support the use of many devices in the network. The 5G-based cellular technology promises an effective healthcare management system with high speed and low latency. The 5G communication technology will replace the 4G technology to satisfy the increasing demand for high data rates. It incorporates higher frequency bands of around 100 MHz using millimetre waves and broadband modulation schemes. It is aimed at providing low latency while supporting real-time machine-to-machine communication. It requires a more significant number of antennas, with an average base station density three times higher than 4G. However, the rise in circuit and processing power for multiple antennas and transceivers deteriorates energy efficiency. Also, the data transmission power for 5G is three times higher than for 4G technology. One of the advanced processors used in today's mobile equipment is NVIDIA Tegra, which has a multicore system on chip (SoC) architecture with two ARM Cortex CPU cores to handle audio, images, and video. The state-of-the-art software coding using JAVA or Python has achieved smooth data transmission from mobile equipment, desktop or laptop through the internet with the support of 5G communication technology. This paper discusses some key areas related to 5G-based healthcare systems such as the architecture, antenna designs, power consumption, file protocols, security, and health implications of 5G networks.

Publisher

Begell House

Subject

Biomedical Engineering

Reference60 articles.

1. Agrawal J, Patel R, Mor P, Dubey P, Keller JM. Evolution of mobile communication network: From 1G to 4G. IJMCR. 2015; 3:1100-3.

2. Keywishg. How IoT is transforming The future of healthcare [white paper]. Available from: https://www.keysight.com/in/en/assets/3120-1073/white-papers/How-IoT-is-Transforming-the-Future-of-Healthcare.pdf.

3. Ahad A, Tahir M, Yau KLU. 5G-based smart healthcare network: Architecture, taxonomy, challenges and future research directions. IEEE Access. 2019;7:100747-62.

4. Istepanaian RS, Zhang YT. Guest editorial. Introduction to the special section: 4G health-the long-term evolution of m-Health. IEEE Trans Inf Technol Biomed. 2012;16(1):1-5.

5. Neufeld E, Kuster N. Systematic derivation of safety limits for time-varying 5G radiofrequency exposure based on analytical models and thermal dose. Health Phys. 2018;115(6):705-11.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advanced AODV Technique to Improve Communications in a 4G Telecommunication Network and Related Issues;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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