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5G-Enabled Healthcare in Mobile Scenarios: Challenges and Implementation Considerations.
Qureshi, Haneya Naeem; Manalastas, Marvin; Farooq, Muhammad Umar Bin; Imran, Ali; Liu, Yongkang; Al Kalaa, Mohamad Omar.
Afiliação
  • Qureshi HN; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Manalastas M; AI4Networks Research Center, School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA.
  • Farooq MUB; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Imran A; AI4Networks Research Center, School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA.
  • Liu Y; AI4Networks Research Center, School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA.
  • Al Kalaa MO; AI4Networks Research Center, School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, USA.
IEEE Netw ; 37(6): 141-149, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38765241
ABSTRACT
Wireless connectivity delay, disruption, or failure can significantly affect the performance of wireless-enabled medical devices, which in turn causes potential risks to the patient. Notably, the challenges related to connectivity provisioning are exacerbated in the fifth-generation (5G)-enabled healthcare use cases where mobility is utilized. In this article, we describe relevant 5G-enabled healthcare use cases involving mobility and identify the connectivity challenges that they face. We then illustrate practical implementation considerations, tradeoffs, and future research directions for enabling reliable 5G healthcare transmissions. This is done through simulation of connected ambulances as an example use-case.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Netw Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Netw Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos