Telefonaktiebolaget Lm Ericsson (publ)

Viktor Berggren

Henrik Rydén

Michael Liljenstam

Embodiments include methods for managed machine learning (ML) in a communication network, such as by one or more first network functions (NFs) of the communication network. Such methods include determining whether processing of an ML model in the communication network should be distributed to one or more user equipment (UEs) operating in the communication network, based on characteristics of the respective UEs. Such methods also include, based on determining that the processing of the ML model should be distributed to the one or more UEs, establishing trusted execution environments (TEEs) in the respective UEs and distributing the ML model for processing in the respective TEEs. Other embodiments include complementary methods for UEs, as well as UEs and NFs (or communication networks) configured to perform such methods.

Network controlled machine learning in user equipment

A routing system, and an associated method, for routing a call to a multi-mode transceiver. Selection of a service subscription pursuant to which calls are to be routed to the transceiver is made at the transceiver, and information related to the selected service subscription is transmitted to a service node and stored at the service node. When an originating party desires to place a call to the transceiver, the originating party accesses the information stored at the service node. Responsive to the information stored at the service node, the call is routed to the transceiver pursuant to the selected service subscription.

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Sollentuna, Sweden

Viktor Berggren