Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. Deployment Options of 5G Network Slicing for Smart Healthcare
 
  • Details
Options

Deployment Options of 5G Network Slicing for Smart Healthcare

Author(s)
De Silva, Rakshitha  
Siriwardhana, Yushan  
Samarasinghe, Tharaka  
Liyanage, Madhusanka  
Ylianttila, Mika  
Uri
http://hdl.handle.net/10197/25924
Date Issued
2022-01-11
Date Available
2024-05-13T09:43:30Z
Abstract
Network slicing enables the creation of multiple logical independent networks on physical networking infrastructure. Network slice deployment in a Fifth Generation (5G) mobile network can be classified as vertical and horizontal slicing. The paper compares the performance of the two slicing methods through solving two convex optimization problems, considering several smart hospital scenarios that differ from each other based on their medical speciality. The results are used to draw insights on the most appropriate slicing approach for each setup.
Other Sponsorship
Academy of Finland in 6Genesis Flagship
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2022 IEEE
Subjects

5G

Network Slicing

Smart Hospital

Telehealth

DOI
10.1109/ccnc49033.2022.9700516
Language
English
Status of Item
Peer reviewed
Journal
2022 IEEE 19th Annual Consumer Communications and Networking Conference, (CCNC), Proceedings
ISBN
978-1-6654-3161-3
ISSN
2331-9860
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

IEEE_CCNC_2022___H_vs_V_Slicing__2_Page_Poster_.pdf

Size

192.54 KB

Format

Adobe PDF

Checksum (MD5)

547b98b3825512d8c12ec66639de0554

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement