The 5G network slicing using SDN based technology for managing network traffic

Daifallah Alotaibi*, Vijey Thayananthan, Javad Yazdani

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)
8 Downloads (Pure)

Abstract

Applications of fifth-generation (5G) slices enhance the services according to availability, which depends on the priority of urgent situations and users' preferences. Managing network traffic is still in significant demand during peak times because many users try to access the available services. This demand increases network traffic, reduces the services' speed, and prevents the accessing facilities from the service providers. In network management, the basic requirements of three slice types standardized by the Enhanced Mobile Broadband (eMBB), Internet of Things (IoT), and Ultra-Reliable, and Low Latency Communications (URLLC) 5G slice committees allow us to determine the availability of 5G slices. Network slice algorithms based on rate, latency, and connectivity simplify these problems through system modeling. According to the demand for accessing problems, we can enhance the availability in the following three ways. Firstly, the rate levels are prioritized for improving the availability of service, which may not depend on the latency and connectivity. Secondly, latency levels are prioritized for improving the availability of service, which may not depend on the rate and connectivity. Finally, the levels of connectivity are prioritized to improve the availability of service, which may not depend on the latency and rate. To resolve the problems, we can employ the software-defined network (SDN) technology such as SDN based multiple access, which provides flexible configurations when users deploy the different services and applications. This strategic research paper aims to investigate novel slice algorithms of the network traffic system based on software-defined multiple access (SoDeMa) for enhancing network traffic performance. Using this system modeling, we can improve 5G slices' availability depended on the average response time against the services.

Original languageEnglish
Pages (from-to)114-121
Number of pages8
JournalProcedia Computer Science
Volume194
DOIs
Publication statusPublished - 3 Dec 2021
Externally publishedYes
Event18th International Learning and Technology Conference 2021 - Virtual, Online, Saudi Arabia
Duration: 28 Jan 202128 Jan 2021
Conference number: 18th

Keywords

  • 5G network
  • Network slice algorithm
  • Network traffic
  • Software-defined multiple access

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