Abstract: Methods and systems for online services applications and application functions to provide User Equipment (UE)-generated information to network data analytics to support network automation and optimization are provided. According to one aspect of the present disclosure, a method for an online services application or Application Function (AF) to provide UE-Generated Information (UGI) to support network automation and optimization comprises, at a Network Data Analytics (NWDA) function: receiving UGI that was collected by a UE or by an online services AF; generating network automation and optimization information based on at least some of the received UGI; and sending the network automation and optimization information to a Radio Access Network (RAN).

Abstract: Methods and systems for online services applications and application functions to provide User Equipment (UE)-generated information to network data analytics to support network automation and optimization are provided. According to one aspect of the present disclosure, a method for an online services application or Application Function (AF) to provide UE-Generated Information (UGI) to support network automation and optimization comprises, at a Network Data Analytics (NWDA) function: receiving UGI that was collected by a UE or by an online services AF; generating network automation and optimization information based on at least some of the received UGI; and sending the network automation and optimization information to a Radio Access Network (RAN).

Abstract: Methods and systems for End-to-End (E2E) User Equipment (UE) trajectory network automation are herein provided. According to one aspect, a network node for E2E UE trajectory network automation, such as a Network Data Analytics Function (NWDAF), receives, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location; calculates a E2E mobility trajectory prediction for the identified future E2E UE trajectory; and sends, to the requesting entity, the calculated E2E mobility trajectory prediction. The requesting entity may be a trusted entity or an untrusted entity, such as a Third Party Provider (3PP) outside of the trusted domain of the network. If the requesting entity selects a mobility trajectory, the network node sends mobility management and optimization information to a Radio Access Network node.

Abstract: Methods and systems for End-to-End (E2E) User Equipment (UE) trajectory network automation are herein provided. According to one aspect, a network node for E2E U E trajectory network automation, such as a Network Data Analytics Function (NWDAF), receives, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location; calculates a E2E mobility trajectory prediction for the identified future E2E UE trajectory; and sends, to the requesting entity, the calculated E2E mobility trajectory prediction. The requesting entity may be a trusted entity or an untrusted entity, such as a Third Party Provider (3PP) outside of the trusted domain of the network. If the requesting entity selects a mobility trajectory, the network node sends mobility management and optimization information to a Radio Access Network node.