Session Management Function Derived RAN Parameters
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing session-related parameters across radio access networks, leading to suboptimal network behavior and increased UE state transitions.
Innovation Solution
The implementation of a session management function derived core network assisted radio access network, which receives and stores session management function-derived parameters to determine expected session activity behavior, allowing for optimized UE behavior prediction and network configuration adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If session management function derived core network assisted radio access network parameters are implemented, then network behavior optimization and UE activity prediction accuracy are improved, but system complexity and parameter management overhead increase
Solution Approach 1:
The patent introduces a session management function as an intermediary component that derives core network assisted radio access network parameters. This intermediary layer processes and manages the complex parameter relationships, isolating the complexity from the core network and radio access network while providing optimized parameters for improved network behavior and UE activity prediction.
Solution Approach 2:
The patent segments the parameter management functionality by separating session management parameters from radio access network parameters. The session management function derives and manages these parameters independently, allowing for specialized optimization without overwhelming the entire system with complexity.
2Use of energy by moving object
If session management function derived parameters are used to determine expected session activity behavior, then power savings and resource allocation efficiency are improved, but parameter storage and processing requirements increase
Solution Approach 1:
The session management function performs preliminary derivation of core network assisted radio access network parameters before they are needed for UE activity prediction. By pre-processing and pre-storing these parameters in an organized manner, the system enables efficient power management and resource allocation without requiring excessive storage capacity during actual operation.
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for session management function derived core network assisted radio access network parameters. One method includes receiving session management function derived core network assisted radio access network parameters from a session management function. The method includes storing the session management function derived core network assisted radio access network parameters in a protocol data unit session level context. The method includes using the session management function derived core network assisted radio access network parameters to determine an expected session activity behavior parameter set.


