Towards an intelligent 6G architecture: the case of jointly Optimised handover and Orchestration

Xenofon Vasilakos*, Sharday Olowu, Reza Nejabati, Dimitra Simeonidou

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

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Abstract

Modern communication networks are intrinsically softwarised and programmable, hence essentially agile. However, critical functionality comes from legacy generations, limiting agility and posing performance and other considerations for demanding 5G services and - in the future - 6G services. This paper discusses issues with legacy functionality and envisions high-level intrinsically intelligent design toward a 6G architecture. We focus on the case of machine learning model-based network functionality that can jointly optimise both user handover and service resource orchestration, rather than engaging in costly and uncertain prediction-based actions to accommodate the stringent requirements of 6G services. Moreover, we discuss this paradigm as a design pilot for other intrinsically intelligent 6G network functions.
Original languageEnglish
Number of pages8
Publication statusPublished - 23 Jun 2022
Event47th Wireless World Research Forum - Bristol, United Kingdom
Duration: 21 Jun 202223 Jun 2022
Conference number: 47
https://www.wwrf.ch/

Conference

Conference47th Wireless World Research Forum
Abbreviated titleWWRF47
Country/TerritoryUnited Kingdom
CityBristol
Period21/06/2223/06/22
Internet address

Keywords

  • 6G
  • Machine learning
  • SDN orchestration
  • Mobility

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