UE Group Mobility Parameter Optimization
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Solution Overview
Problem
Existing self-optimization methods for mobile communication systems fail to completely address load balance issues due to varying resource requirements of different User Equipments (UEs), leading to potential negative effects on some UEs during handover trigger adjustments between cells, especially across different access systems.
Innovation Solution
A self-optimizing method that adjusts mobility parameters of UE groups based on practical cell and UE conditions, allowing base stations to optimize parameters like handover triggers and load balance, using interfaces like X2 and S1 to exchange information and adjust settings according to specific UE group requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If handover trigger parameters are adjusted generally for all UEs to achieve load balance between cells, then load balance is improved, but some UEs with different resource requirements experience negative effects
Solution Approach 1:
The patent segments UEs into different groups based on their service requirements and resource needs. Each UE group receives customized handover trigger parameter adjustments rather than a uniform adjustment applied to all UEs. This segmentation allows the system to achieve load balance while preserving the service quality of individual UE groups with different characteristics.
Solution Approach 2:
The patent applies local quality by configuring different handover trigger parameters for different UE groups according to their specific service requirements. Instead of using a single global parameter setting, the system tailors the parameters locally for each UE group, ensuring that UEs with different resource requirements receive appropriate treatment that maintains their service quality while contributing to overall load balance.
2Productivity
If self-optimization is performed for the entire SAE system to improve overall performance, then system-wide performance is improved, but the complexity of parameter configuration and optimization increases
Solution Approach 1:
The patent divides the complex system-wide optimization problem into smaller, manageable UE group-specific optimization tasks. By segmenting the optimization scope into discrete UE groups with similar characteristics, the system can perform self-optimization more efficiently without being overwhelmed by the complexity of optimizing for every individual UE with unique requirements.
Solution Approach 2:
The patent creates universal UE group configurations that can be applied to multiple UEs with similar service requirements. Instead of configuring parameters individually for each UE, the system defines universal parameter sets for different UE group types, reducing the overall configuration complexity while maintaining appropriate customization for different service scenarios.
3Productivity
If mobility parameters are adjusted to optimize load balance between different access systems, then load distribution is improved, but handover robustness for some UE groups may deteriorate
Solution Approach 1:
The patent applies local quality by configuring specific mobility parameters for each UE group based on their service requirements and handover characteristics. UEs with different robustness needs receive tailored parameter adjustments, ensuring that load balance optimization does not compromise the handover reliability of vulnerable UE groups while still achieving improved load distribution across access systems.
Data Source
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AI summary
The present application discloses a self-optimizing method for a UE group, which includes: a. a base station of a cell in the system adjusts mobility parameters of a specified UE group from the cell to another cell, and notifies the base station that the another cell belongs to of a relative value of mobility parameter change of the specified UE group in the cell; or, the base station of the cell requests base station of the another cell to adjust the mobility parameters of the specified UE group to the cell, and carry the relative value of mobility parameter change; b. the base station of the another cell determines which manner to take to adjust the mobility parameters of the specified UE group according to the relative value of the mobility parameter change received.