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Augmented Reality App with AI-based Pervasive Latency Monitoring of RAN and Programmable Metro Packet-Optical Networks

Authors: Alhamed, Faris; Guaitolini, Michelangelo; González Pacheco, Pol; Berozashvili, Revaz; Ismail, Layal; Shakespear Miles, Hailey Josephine; Barzegar, Sima; +5 Authors

Augmented Reality App with AI-based Pervasive Latency Monitoring of RAN and Programmable Metro Packet-Optical Networks

Abstract

Deep data plane programmability is exploited at different future 6G network technological segments to realize end-to-end application delay telemetry. For the first time, data analytics obtained by RAN controllers and metro network collectors are processed by a Multi Agent System running AI algorithms with the aim of detecting latency anomalies and their location in the network, suggesting the most appropriate recovery countermeasure. The demo is shown applied to Augmented Reality application with extreme low latency requirements.

The research leading to these results has received funding from the Smart Networks and Services Joint Undertaking under the European Union’s Horizon Europe research and innovation program under G.A. No.101096466 (DESIRE6G).

Peer Reviewed

Countries
Spain, Italy
Keywords

Multi-agent system, Programmable data plane, SDN-based network control, Programmable Data Plane , SDN-based Network Control , Multi-Agent System , 6G Pervasive Monitoring, 6G pervasive monitoring, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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