Demonstrating fluid connectivity for Computing Anywhere with 6G Cloud Networks
conference paper
Anticipating a highly customized and flexible virtual service portfolio of 6G networks, unprecedented complexity will challenge network manageability if left to human operators. Automation and autonomy are key enablers of next generation cloud networks. With this in mind, we present a demonstrator of ML-assisted user plane resource management and orchestration. We considered a static resource management policy and implemented an intelligent agent that manages a virtual router location with the goal to minimize the latency of mobile users in a distributed network. The demonstrator illustrates a bottom-up way forward to develop an artificial network engineer that will improve the manageability of next generation cloud networking starting from small scale within network partitions, but effectively creating a fluid wide-area connectivity for computing anywhere with 6G cloud networks. We identify key open questions that need to be answered in order for the solution to scale to the incoming 6G cloud networks. (C) 2022 IEEE.
Topics
6G Cloud NetworkCloud resource management and orchestrationNetwork Function ManagementReinforcement LearningNatural resources managementNext generation networksResource allocationVirtual realityWide area networks6g cloud networkCloud networksCloud resource management and orchestrationHuman operatorNetwork function managementNetwork functionsReinforcement learningsResource managementService portfolioVirtual serviceReinforcement learning
TNO Identifier
982030
ISBN
9781665459754
Publisher
Institute of Electrical and Electronics Engineers Inc.
Source title
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
Pages
61-66
Files
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