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A comprehensive analysis on network slicing for smart hospital applications

  • University College Dublin
    ,
  • University of Oulu
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Network slicing (NS) is technology that enables emerging smart applications and use cases in Fifth Generation (5G) and beyond networks. One such application is smart hospitals, which has diverse network requirements for applications ranging from Augmented Reality (AR) and robot assisted surgeries to connecting large numbers of medical wearables and sensors. NS can be performed in smart hospitals under different strategies based on dynamicity, ownership, and application. This paper investigates how these strategies can be utilized in different smart hospital applications. The performance of each slicing strategy in a hospital network is analyzed under three matrices: bandwidth utilization, handover count, and block count.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 276-279 (4 pages)

Publication milestones

  • Published - 10/02/2022

Publication status

Published - 10/02/2022

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publisher name: Institute of Electrical and Electronics Engineers Inc.
    Publication series name: Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
    ISSN (Print): 2331-9860

ISBN (Electronic)

9781665431613

External Publication IDs

  • handle.net: 10547/625782
  • Scopus: 85135729101

Host publication title

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

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