Study on 5G system support for AI/ML-based services
This Technical Report will study, based on requirements as specified in clauses 6.40 and 7.10 of TS 22.261 [2], 5GS assistance to support Artificial Intelligence (AI) / Machine Learning (ML) model distribution, transfer, training for various applications, e.g. video/speech recognition, robot control, automotive, etc.
The scope of this study is on how the AI/ML service providers could leverage 5GS as the platform to provide the intelligent transmission support for application layer AI/ML operation based on the following objectives.
1. Study the possible architectural and functional extensions to support the Application layer AI/ML operations defined in TS 22.261 [2], more specifically:
a. Support monitoring of network resource utilization in the 5G system relevant to the UE in order to support Application AI/ML operation.
b. Whether and how to extend 5GS information exposure for 5GC NF(s) to expose UE and/or network conditions and performance prediction (e.g. location, QoS, load, congestion, etc.) to the UE and/or to the authorized 3rd party to assist the Application AI/ML operation.
c. Enhancements of external parameter provisioning to 5GC (e.g. expected UE activity behaviours, expected UE mobility, etc.) based on Application AI/ML operation.
d. Investigate the enhancements of other 5GC features that could be used to assist the Application AI/ML operations as described in clause 6.40 of TS 22.261 [2].
2. Study possible QoS, Policy enhancements to support Application AI/ML operational traffic while supporting regular (non Application-AI/ML) 5GS user traffic.
3. Study whether and how 5GS provides assistance to AF and the UE for the AF and UE to manage the Federated Learning (FL) operation and model distribution/redistribution (i.e. FL members selection, group performance monitoring, adequate network resources allocation and guarantee) to facilitate collaborative Application AI/ML based Federated Learning operation between the application clients running on the UEs and the Application Servers.