US US20260222308A1
This invention provides system to judicially select user plane function (UPF) from a plurality of user plane functions (UPFs) in a high-speed 6G core network comprising network data analytics function (NWDAF) unit to collect historical energy consumption data of each of the UPFs registered in the network and managing a plurality of user application flows, an energy efficiency module (EEM) integrated within said NWDAF unit to execute a predictive learning process over the collected historical energy consumption data and predict a future energy consumption for each of the UPFs, and selecting that UPF among the plurality of UPF for which the predicted energy consumption is least. The SMF unit provides information of energy consumption of each of the UPFs to the NWDAF unit and further implements a flow allocation mechanism with establishing connection in control plane to anchor a particular UPF for a new flow request as predicted by the EEM which will consume the least energy in a subsequent time interval.
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