SCG Handover Failure Categorization in MR-DC
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Solution Overview
Problem
Current Multi-Radio Dual Connectivity (MR-DC) systems lack a method to categorize Secondary Cell Group (SCG) handover failures, specifically too late, too early, or wrong cell handover, which hinders fine-tuning of handover parameters to reduce failure rates.
Innovation Solution
A system and method that categorize SCG handover failures by analyzing Radio Link Failure (RLF) messages and NR measurement results, allowing the Control Unit-Control Plane (CU-CP) to determine if a handover failure was too early, too late, or wrong cell, enabling fine-tuning of handover parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SCG handover failures are not categorized, then the system operates with existing handover mechanisms, but handover parameter fine-tuning cannot be performed to reduce failure rates
Solution Approach 1:
The patent implements a feedback mechanism where the UE reports RLF information including measurement results to the network. The network then analyzes this feedback to categorize handover failures and adjust parameters accordingly, creating a closed-loop system that continuously improves handover reliability based on actual failure data
Solution Approach 2:
The patent introduces an intermediary categorization mechanism that sits between the raw RLF detection and the parameter adjustment process. This intermediary analyzes RLF reports, determines failure categories (too early, too late, wrong cell), and translates raw failure data into actionable insights for parameter optimization
2Measurement precision
If RLF detection and categorization mechanisms are implemented for SCG, then handover failure categorization becomes possible, but system complexity increases
Solution Approach 1:
The patent leverages the existing universal RLF detection and measurement reporting mechanisms already present in the system for MCG handovers. By making these existing multi-functional mechanisms work for both MCG and SCG scenarios, the patent achieves precise failure detection without adding significant new complexity
Solution Approach 2:
The patent copies the proven MCG RLF detection and measurement reporting framework and applies it to SCG handovers. This copying approach allows precise failure detection to be achieved by reusing existing well-tested mechanisms rather than creating new complex systems from scratch
3Productivity
If SCG handover failure categorization is implemented, then targeted parameter fine-tuning can reduce failures, but implementation effort and time are required
Solution Approach 1:
The patent performs preliminary actions by establishing the failure categorization framework and measurement reporting mechanisms in advance. This preparation work enables rapid parameter fine-tuning and network optimization once failures are detected, as the infrastructure for analysis and categorization is already in place
Solution Approach 2:
The patent implements self-service mechanisms where the system automatically detects, categorizes, and reports handover failures without requiring manual intervention. The automated analysis and parameter adjustment capabilities enable continuous network optimization with minimal human time investment
Data Source
AI summary
With MR-DC, UE is connected to both MCG and SCG. When an MCG handover failure occurs, there is a defined method to categorize the handover failures and take corrective actions, however, for SCG handover failures, there are no defined categorizations and corresponding corrective actions currently available. The current method facilitates identification and categorization of SCG handover failures to be categorized as too early, too late and wrong cell handovers. By fine-tuning the handover parameters (based on the SCG handover failure type) SCG handover failure rates would be reduced significantly.