Soft Handover Rate Control via Signal Strength Mapping
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Solution Overview
Problem
Existing wireless communication systems face challenges in optimizing the soft handover rate, leading to either excessive resource usage or communication interruptions, as the preset soft handover rate during cell planning does not adapt to the actual system status.
Innovation Solution
An apparatus and method that dynamically adjust the soft handover rate by determining signal strength differences between cells, calculating probability distributions from measurement reports, and mapping these to soft handover parameters, allowing for real-time adjustments to optimize system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a higher soft handover rate is set, then communication quality is improved, but system capacity is reduced due to excessive resource occupation
Solution Approach 1:
The patent implements dynamic adjustment of soft handover parameters based on real-time system status. The network device monitors system load, resource usage, and communication quality metrics, then dynamically modifies soft handover rates and related parameters to adapt to changing conditions, resolving the contradiction between maintaining high communication quality and preserving system capacity.
Solution Approach 2:
The patent changes soft handover parameters (such as handover thresholds, active set sizes, and resource allocation ratios) based on system status. By adjusting these parameters dynamically rather than using fixed preset values, the system can optimize the balance between communication quality and system capacity under different operating conditions.
2Productivity
If an excessively low soft handover rate is set, then system resources are conserved, but communication interruption occurs and call drop rate increases
Solution Approach 1:
The patent implements feedback mechanisms where the network device continuously monitors communication quality metrics, handover success rates, and call drop rates. Based on this feedback, the system adjusts soft handover parameters to prevent communication interruptions while optimizing resource usage. The feedback loop ensures that resource conservation does not compromise communication continuity.
Solution Approach 2:
The system dynamically adjusts soft handover rates based on real-time monitoring of communication continuity metrics. When call drop rates increase or interruptions are detected, the system automatically increases soft handover resources to maintain reliability, while during stable periods it can reduce resources to improve efficiency.
3Device complexity
If a preset soft handover rate is used during cell planning, then system configuration is simplified, but the system cannot adapt to actual running status
Solution Approach 1:
The patent enables the system to self-adjust soft handover parameters automatically based on its own monitoring data. The network device performs self-optimization by analyzing its own performance metrics and making parameter adjustments without requiring external intervention or complex manual reconfiguration, thus maintaining simplicity while improving adaptability.
Solution Approach 2:
The patent implements preliminary configuration of soft handover parameters during cell planning for simplicity, then adds automatic adjustment mechanisms that activate during operation. This preliminary setup provides a baseline configuration that is simple to establish, while the subsequent automatic adjustments provide the needed adaptability to actual running status.
Data Source
AI summary
This disclosure provides an apparatus and a method for controlling a soft handover rate. A distribution of cell signal strengths that is received by user equipment is obtained through analysis of measurement reports of the user equipment, a mapping relationship between soft handover parameters and air interface quality is determined, and the soft handover parameters are adjusted according to the mapping relationship. Adjusting soft handover parameters of a cell according to signal quality of the cell can reduce a soft handover rate and increase a capacity on a premise that communication quality is maintained. Further, after the soft handover rate is adjusted according to the air interface quality, monitoring of the air interface quality, and by modifying specific cell handover parameters, communication quality of the user equipment that performs a soft handover is maintained, and a balance between increasing the system capacity and maintaining the communication quality is achieved.