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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
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
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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