Dynamic UE State Machine and Tunnel Configuration for 5G Resource Efficiency
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Solution Overview
Problem
In next-generation 5G networks, the existing single UE state machine and tunnel model lead to inefficient resource utilization due to unnecessary signaling waste and complexity in maintaining UE states, especially when different communication scenarios require dynamic and flexible tunnel selection to support varying mobility levels and traffic types.
Innovation Solution
A method to dynamically configure a UE's mobility state machine and tunnel type based on its attributes, including mobility limitations, models, and reachability requirements, allowing for efficient resource allocation by determining appropriate NAS mobility states and transmission tunnel types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single UE state machine and tunnel model are used in legacy networks, then the system is simple to maintain, but resource utilization efficiency deteriorates due to unnecessary signaling waste and inability to adapt to different mobility scenarios
Solution Approach 1:
The patent implements dynamic configuration of UE state machines and tunnel models based on real-time mobility attributes and communication scenarios. The network can dynamically select between different state machine types (legacy EPS, 5GS, power-saving) and tunnel models (per-bearer, per-PDU-session, per-QoS-class, SDN-based) to match UE mobility levels, transforming the static single-model approach into a dynamic multi-model system that adapts to varying network conditions and UE requirements
Solution Approach 2:
The patent changes the parameter of UE configuration from fixed to variable by introducing mobility attributes (mobility limitation, mobility model, reachability requirement) as determining factors. Based on these parameters, the system selects appropriate state machine types and tunnel models, enabling flexible adaptation to different mobility scenarios while optimizing resource utilization and reducing unnecessary signaling
2Productivity
If different tunnel models are configured for different UE scenarios, then resource utilization improves, but signaling overhead and configuration complexity increase
Solution Approach 1:
The patent uses mobility attributes (mobility limitation, mobility model, reachability requirement) as key parameters to determine the appropriate tunnel model configuration. By changing the configuration parameter from static to dynamic based on UE attributes, the system selects optimal tunnel models (per-bearer, per-PDU-session, per-QoS-class, or SDN-based) that match specific mobility scenarios, reducing unnecessary signaling overhead while improving resource utilization
Solution Approach 2:
The UE participates in the configuration process by reporting its mobility attributes and capabilities to the network. The network then uses this self-reported information to automatically select and configure the appropriate tunnel model, reducing manual configuration overhead and enabling the system to self-adapt to different UE requirements without excessive signaling
3Device complexity
If a single UE state machine is used for all UEs, then configuration is simplified, but adaptability to different mobility levels and communication scenarios deteriorates
Solution Approach 1:
The patent implements a universal configuration framework that supports multiple state machine types (legacy EPS, 5GS, power-saving) and tunnel models within a single system. The network can universally apply the same configuration process to different UE types while adapting the specific configuration parameters based on UE mobility attributes, achieving multi-functionality without increasing fundamental system complexity
Solution Approach 2:
The system maintains configuration simplicity by using parameter-based selection rather than structurally different configurations. By changing the configuration approach from multiple fixed state machines to a single flexible configuration mechanism that adapts parameters based on UE mobility attributes, the system achieves both simplicity and adaptability across different mobility scenarios
Data Source
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AI summary
Disclosed are a network configuration method and a network device for dynamically selecting a mobility state machine and a tunnel type matching a terminal and increasing resource utilization efficiency. The method comprises: when a terminal accesses a network, determining an attribute of the terminal; determining, on the basis of the attribute of the terminal, a configuration parameter corresponding to the terminal; and directing or configuring, on the basis of the configuration parameter, the terminal and/or directing or configuring a related network function entity or node at a network side.