5G Network Slicing Registration State Management
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Solution Overview
Problem
Current 5G systems face challenges in implementing enhanced features and functionalities for network slicing, particularly in managing registration and connection states between User Equipment (UE) and Access and Mobility Management Function (AMF) entities, which affects efficient resource allocation and service delivery.
Innovation Solution
The implementation of advanced registration and connection management mechanisms within the 5G core network, including enhanced state models and call flows, enables seamless registration, connection establishment, and resource allocation for UE, optimizing network slicing and service-based interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advanced registration and connection management mechanisms are implemented, then service delivery efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the registration and connection management process into distinct state models (registered, connected, disconnected) with specific transition rules. Each state has defined behaviors and conditions, allowing the complex management mechanism to be broken down into manageable, predictable components that improve service delivery while maintaining organizational clarity.
Solution Approach 2:
The patent implements dynamic state transitions between registered, connected, and disconnected states based on real-time network conditions and UE behavior. The state model adapts to changing conditions through defined transition triggers, enabling efficient resource allocation and service delivery while managing complexity through structured dynamic behavior.
2Productivity
If network slicing is optimized, then resource allocation is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation to network slicing by creating distinct state models for different connection states, each with specific resource allocation rules. This divides the complex network slicing problem into state-specific sub-problems that can be managed independently, improving resource allocation efficiency while controlling system complexity through modular state handling.
Solution Approach 2:
The patent utilizes parameter changes in state transitions to optimize resource allocation across different network slices. By defining specific parameters that trigger state changes and resource reallocation, the system dynamically adapts to varying network conditions and service requirements, improving resource allocation efficiency while managing complexity through parameter-driven control.
Data Source
AI summary
A method can include receiving, by a first base station from a second base station, a next generation radio access network (NG-RAN) node configuration update message. The message can include a slice identifier of a first network slice supported by a cell of the second base station; and a second served cell information NR IE indicating that the cell of the second base station is in a second closed access group (CAG). The method can also include sending, to the second base station, an NG-RAN configuration update acknowledge message comprising a first served cell information NR IE indicating that a cell of the first base station is in a first CAG. The method can further include sending, to the second base station, a handover request message to handover a wireless device to the cell of the second base station.