A comprehensive analysis on network slicing for smart hospital applications
Wijethilaka, Shalitha; Porambage, Pawani; de Alwis, Chamitha; Liyanage, Madhusanka (2022-02-10)
S. Wijethilaka, P. Porambage, C. de Alwis and M. Liyanage, "A Comprehensive Analysis on Network Slicing for Smart Hospital Applications," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2022, pp. 276-279, doi: 10.1109/CCNC49033.2022.9700535.
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2023042037776
Tiivistelmä
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.
Kokoelmat
- Avoin saatavuus [31657]