Handover Optimizer Function for Qualitative Failure Categorization
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Solution Overview
Problem
Current mobile communication systems face inefficiencies in handover control, particularly in categorizing and addressing the severity of handover failures, which leads to suboptimal handover parameter adjustments and slower convergence of mobility optimization algorithms due to the lack of qualitative information on failure causes.
Innovation Solution
The implementation of a handover optimizer function that receives qualitative handover information reports from user equipment, mapping failure cause information into sets of qualified failure types based on the extent of failure causes, and using these reports to adjust handover parameters, incorporating fuzzy membership functions and root-cause analysis for dynamic optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If handover failure information is collected without qualitative categorization, then data collection is simple, but optimization accuracy and convergence rate deteriorate
Solution Approach 1:
The patent segments handover failure information into distinct qualitative categories (too early handover, too late handover, ping-pong handover, other failures) based on failure cause analysis. This segmentation transforms raw failure data into structured, actionable insights that enable precise optimization while maintaining manageable processing complexity through systematic classification.
Solution Approach 2:
The patent introduces an intermediary processing layer that collects raw handover failure information from user equipment and transforms it into qualitative categorized data before feeding it to the optimization algorithm. This intermediary layer acts as a mediator that enhances optimization accuracy by providing structured input while managing the complexity of information processing through standardized categorization rules.
2Productivity
If detailed qualitative failure information is processed, then optimization convergence rate improves, but information processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-defining qualitative failure categories and classification criteria before the optimization process begins. Failure information is pre-categorized into standard types (too early, too late, ping-pong, other) as it is collected, rather than requiring complex post-processing analysis. This preliminary categorization accelerates the optimization convergence rate by providing immediately usable structured data while minimizing additional processing time.
3Reliability
If handover parameter adjustments are made without qualitative failure analysis, then parameter adjustment is simple, but handover performance optimization deteriorates
Solution Approach 1:
The patent applies local quality by adjusting handover parameters based on the specific type of failure identified in the qualitative analysis. Different failure categories trigger different parameter adjustment strategies: too early handovers adjust one set of parameters, too late handovers adjust another set, and ping-pong handovers adjust yet another set. This localized, targeted approach improves handover performance by addressing specific failure modes while maintaining manageable control complexity through rule-based differentiation.
Data Source
AI summary
Apparatuses and methods for handover control are disclosed. Handover information reports are received from user equipment and a qualitative handover information report for input to a handover optimizer function is generated on the reports. The generating includes mapping failure cause information in the received handover information reports to sets of qualified failure types based on the extend of the failure causes. The qualitative handover information report including information of the generated sets of qualified failure types is signalled to the handover optimizer function. At least one handover parameter can be controlled based on the aggregated information of the sets of qualified failure types.