Wireless Handover Parameter Configuration for Radio Network Optimization
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Solution Overview
Problem
Current methods for configuring handover parameters in radio networks are not accurate enough, leading to unnecessary handovers and waste of network resources, as they apply the same parameters to all terminals in a cell, causing terminals that do not need handovers to be transferred to neighboring cells.
Innovation Solution
A method and device that recognize individual terminals causing network handover or load performance issues, prioritize them based on their impact, and configure specific handover parameters to optimize handovers, avoiding unnecessary inter-cell transfers and enhancing network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the base station configures the same handover parameter for all terminals in a cell, then the configuration process is simple, but the handover parameter accuracy is insufficient causing unnecessary handovers
Solution Approach 1:
The patent segments the cell into multiple regions based on signal strength and quality characteristics. Different handover parameters are configured for terminals in different regions, allowing accurate parameter configuration while maintaining manageable complexity through automated region-based grouping
Solution Approach 2:
The patent applies different handover parameters to different terminals based on their local channel conditions and service requirements. Terminals experiencing poor signal quality receive different parameters than those with good signal quality, optimizing handover performance for each local condition
2Measurement precision
If the base station configures different handover parameters for different terminals, then the handover parameter accuracy is improved, but the configuration complexity increases
Solution Approach 1:
The patent dynamically adjusts handover parameters based on terminal-specific measurements including signal strength, signal quality, and service type. The base station modifies parameters such as handover threshold, hysteresis, and time-to-trigger according to real-time conditions, achieving high accuracy through adaptive parameter changes
Solution Approach 2:
The patent implements self-service mechanisms where terminals report their channel conditions and the base station automatically determines appropriate parameters without manual intervention. The system self-optimizes by monitoring handover performance and adjusting parameters autonomously, reducing configuration complexity
3Productivity
If terminals meet handover measurement condition with inaccurate parameters, then handover frequency increases, but network resources are wasted
Solution Approach 1:
The patent implements feedback mechanisms where the base station monitors handover performance metrics including handover success rate, ping-pong handover ratio, and network load. Based on this feedback, the system adjusts handover parameters to optimize the balance between handover frequency and resource efficiency, preventing unnecessary handovers while maintaining service quality
Data Source
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AI summary
The present invention provides a method, a device, and a system for optimizing a radio network.The method provided in the present invention includes: recognizing a terminal that needs optimization processing; according to a degree of influencing a network handover performance indicator or network load performance indicator by each terminal that needs optimization processing, performing handover priority sorting on the terminal that needs optimization processing to obtain a sorted handover priority result; according to the sorted handover priority result, and based on a configuration rule that a smaller handover parameter value is configured for a terminal with a higher handover priority, configuring a handover parameter for the terminal that needs optimization processing; and sending the handover parameter to a corresponding terminal. The present invention is applicable to the communications field and is used to perform optimization processing on a radio network.