UE Behavior Parameter Provisioning for Accurate Mobility Optimization
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Solution Overview
Problem
Existing UE moving trajectory information lacks timing, velocity, acceleration, and periodicity details, leading to incorrect mobility optimization in network devices like AMF, and insufficient support for RAN optimization.
Innovation Solution
Provisioning of UE behavior parameters with timing information, including locations, timestamps, duration, velocity, and periodicity, to enhance mobility and session management in network devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If UE moving trajectory information is provided without timing, velocity, acceleration, and periodicity details, then the provisioning process is simple, but mobility optimization in network devices becomes incorrect
Solution Approach 1:
The patent extends the UE moving trajectory parameter set by adding timing information (timestamp, duration, time of day), velocity, acceleration, and periodicity parameters. This transforms the trajectory data from simple location points to rich behavioral profiles that enable accurate mobility optimization while maintaining the same provisioning interface.
2Device complexity
If UE moving trajectory includes only location information, then the data structure is simple, but timing and duration information for network optimization is lost
Solution Approach 1:
The patent segments the UE behavior parameters into distinct components: location information (tracking area, cell ID), timing information (timestamp, duration, time of day), motion parameters (velocity, acceleration), and periodicity information. This structured segmentation preserves all necessary information while organizing it in a manageable format for network processing.
3Ease of operation
If basic UE location trajectory is used, then network device processing is straightforward, but RAN optimization support is insufficient
Solution Approach 1:
The enhanced UE behavior parameter structure serves multiple functions simultaneously: it provides location tracking for mobility management, timing information for session management, velocity and acceleration for predictive routing, and periodicity patterns for resource allocation. This multi-functional parameter set enables both AMF and RAN optimizations from a single data source.
Data Source
AI summary
Embodiments of the present disclosure provide methods and apparatuses for user equipment (UE) behaviour parameters provisioning. A method at a server may comprise obtaining one or more expected UE behaviour parameters having timing information of one or more or a group of UEs; and sending to a network exposure entity a first parameter provisioning message including the one or more expected UE behaviour parameters having timing information of one or more or a group of UEs.


