5G-Network-Enabled Smart Ambulance: Architecture, Application, and Evaluation

Yunkai Zhai, Xing Xu, Baozhan Chen, Huimin Lu, Yichuan Wang, Shuyang Li, Xiaobing Shi, Wenchao Wang, Lanlan Shang, Jie Zhao

Research output: Contribution to journalArticlepeer-review

Abstract

As the fifth generation (5G) network comes to the fore, the realization of 5G-enabled service has attracted much attention from both healthcare academics and practitioners. In particular, 5G-enabled emergency ambulance service allows to connect a patient and an ambulance crew at an accident scene or in transit with the awaiting emergency department team at the destination hospital seamlessly so as to improve the rescue rate of patients. However, the application of the 5G network in ambulance service currently lacks a reliable solution and simulation testing of performance in the existing literature. To achieve this end, the primary aim of this study is to propose a 5G-enabled smart ambulance service and then test the quality of service of the proposed solution in experimental settings. We also consider emergency scenarios to investigate the task completion and accuracy of 5G-enabled smart ambulance, and to verify the superiority of our proposed solution. Our study explores the value of a 5G-en-abled smart ambulance and provides practical insights for 5G network construction, business development, and network optimization of smart ambulance service.

Original languageEnglish
Article number9354923
Pages (from-to)190-196
Number of pages7
JournalIEEE Network
Volume35
Issue number1
Early online date16 Feb 2021
DOIs
Publication statusPublished - 1 Mar 2021

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of '5G-Network-Enabled Smart Ambulance: Architecture, Application, and Evaluation'. Together they form a unique fingerprint.

Cite this