AI-Native for 6G Core Network Configuration

Abdullah Ridwan Hossain, Weiqi Liu, Nirwan Ansari, Abbas Kiani, Tony Saboorian

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

3GPP envisions exploiting AI-Native for the day-to-day operations of 6G core networks (CNs). As opposed to 5G CNs whose uses for artificial intelligence (AI) are limited and not yet standardized, 6G CNs seek a revolutionary redesign where AI will no longer simply be an overlaid service but rather the foundation upon which all network functions run, i.e., AI-Native. By leveraging knowledge of the CN control plane, we utilize an AI framework to optimize our three proposed CN configurations and minimize the CN execution time which is imperative for end-to-end routing in the user plane.

Original languageEnglish (US)
Pages (from-to)255-259
Number of pages5
JournalIEEE Networking Letters
Volume5
Issue number4
DOIs
StatePublished - Dec 1 2023

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Information Systems
  • Communication
  • Hardware and Architecture

Keywords

  • 6G
  • AI-Native
  • control plane
  • core network
  • network function
  • network slicing

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