Dynamic Cell Type Configuration for Handover Robustness
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Solution Overview
Problem
The existing Mobility Robustness Optimization (MRO) mechanism is inadequate for scenarios with dynamic cell coverage ranges, particularly with the introduction of active antenna systems, leading to inaccurate detection results due to changing cell parameter settings.
Innovation Solution
A method and apparatus that dynamically configure cell types and handover triggering conditions based on changing coverage ranges, allowing for real-time adjustment of antenna parameters to match traffic demands, involving the exchange of relevant information between base stations and user equipment to determine cell types and absolute times of handover failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If active antenna systems dynamically adjust antenna parameters to meet traffic demands, then adaptability is improved, but measurement precision deteriorates due to changing cell parameter settings
Solution Approach 1:
The patent applies dynamics by enabling base stations to dynamically adjust antenna parameters (such as beamforming weights, tilt angles, or transmission power) of active antenna systems to adapt to changing traffic demands. This allows the cell coverage range to be flexibly modified, improving adaptability while the system continuously updates handover parameters based on current cell boundaries to maintain detection accuracy
Solution Approach 2:
The patent implements parameter changes by modifying antenna parameters of the active antenna system to dynamically adjust cell coverage ranges. When cell boundaries change due to parameter adjustments, the system updates handover triggering conditions and parameters accordingly, ensuring that detection accuracy is maintained despite the changes in cell configuration
2Adaptability or versatility
If handover parameters are adjusted frequently to adapt to dynamic cell ranges, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent applies feedback by implementing a mechanism where base stations continuously monitor handover performance and cell coverage changes, then automatically adjust handover parameters and antenna parameters accordingly. This closed-loop feedback system enables adaptive optimization without requiring complex manual configuration or intervention
Solution Approach 2:
The patent implements self-service by enabling the network to automatically detect cell boundary changes and adjust handover parameters without external intervention. The system autonomously manages the complexity of dynamic parameter adjustment through automated detection and optimization algorithms
Data Source
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AI summary
Embodiments of the present disclosure provide an information acquiring method, parameter optimizing method and apparatuses thereof and a system. The method includes: receiving, by a first base station, information transmitted by user equipment, or a second base station, or a third base station; wherein, the information comprises relevant information used by a network side to determine cell types of the first base station and the second base station when handover initiation or link failure occurs, or comprises an absolute time when handover initiation or link failure occurs in the user equipment. With this method, cell types corresponding to coverage ranges of cells may be configured according to dynamically adjusted parameter ranges, thereby further configuring triggering conditions corresponding to the cell types, and satisfying traffic demands when the cell ranges change dynamically.