Open Access5G‐based smart healthcare system designing and field trial in hospitals
Author(s) -
Tang Xiaoyong,
Zhao Lijun,
Chong Jing,
You Zhengpeng,
Zhu Lei,
Ren Haiying,
Shang Yuxiang,
Han Yantao,
Li Gong
Publication year - 2022
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/cmu2.12300
Subject(s) - computer science , cloud computing , software deployment , key (lock) , health care , default gateway , edge computing , field (mathematics) , enhanced data rates for gsm evolution , big data , computer security , telecommunications , software engineering , data mining , operating system , mathematics , pure mathematics , economics , economic growth
With the 5G worldwide deployment, the scale of vertical applications is innovated benefit from 5G technologies including MEC (Multi‐access Edge Computing), network slicing, etc. Especially for healthcare, 5G had been used for COVID‐19 protection and intelligent medical processing. However, limited by the hospital's traditional information infrastructures, those 5G‐based healthcare applications are hard to be deployed and most only for demonstration, also isolated from the existing medical systems. So what is the next generation of smart healthcare information infrastructures is the key issue for the long‐term development of 5G healthcare applications. Even though the standardized 5G MEC framework has been widely used in many vertical scenarios, it is also hard to satisfy hospital‐specific requirements such as hospital‐dedicated deployment, medical data security, and various network connections, etc. This paper proposes a 5G‐based architecture for smart healthcare information infrastructure, a new network element iGW (industry gateway) is defined, and the smart healthcare dedicated cloud platform iMEP (industry multi‐access edge platform) is also introduced here, making it possible to satisfy both the hospital‐specific requirements and the long‐term evolution. Meanwhile, the implementation methodology and the corresponding field test results are presented, which show the significant network performance gain achieved by the proposed new system structure.