Self-Organizing Network Base Station Parameter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless cellular telecommunication networks require extensive manual planning and parameter adjustment, leading to complexity and increased operational expenses due to the need for precise setting of base station operating parameters to avoid network failures and ensure optimal signal quality and interference reduction.
Innovation Solution
A self-organizing network (SON) method where a server auto-configures base stations using location data and measurement feedback from mobile terminals to determine and optimize operating parameters, reducing manual intervention and improving network management efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual planning and parameter adjustment is performed for base stations, then network reliability and signal quality are improved, but device complexity and operational expenses increase
Solution Approach 1:
The patent implements self-organizing network (SON) functionality where base stations automatically configure their own operating parameters including frequency selection, antenna orientation, and transmission intensity. The system performs autonomous network optimization through self-diagnosis and self-adjustment mechanisms, eliminating the need for manual planning and parameter tuning while maintaining network reliability
Solution Approach 2:
The patent employs measurement equipment and control systems that continuously monitor network performance parameters and provide feedback to the base stations. This feedback loop enables automatic adjustment of operating parameters to optimize signal quality and reduce interference, replacing manual intervention with automated closed-loop control
2Object-affected harmful factors
If manual parameter adjustment is performed for each base station, then interference reduction and signal quality are improved, but loss of time and operational expenses increase
Solution Approach 1:
The patent implements preliminary configuration of base station parameters through automated templates and pre-defined operating modes. Base stations are pre-programmed with candidate configurations that can be rapidly deployed, eliminating the need for time-consuming manual parameter adjustment while maintaining optimal interference reduction performance
Solution Approach 2:
The patent enables dynamic parameter optimization where base stations automatically adjust operating parameters such as transmission frequency, antenna orientation, and power intensity based on real-time network conditions. This automated parameter tuning achieves interference reduction without requiring manual intervention, significantly reducing network setup and optimization time
3Manufacturing precision
If extensive measurements and simulations are performed for network planning, then manufacturing precision of network parameters is improved, but device complexity and operational expenses increase
Solution Approach 1:
The patent replaces traditional mechanical measurement systems and simulation software with automated electronic measurement equipment and algorithm-based optimization. Base stations use electronic sensors and processors to automatically measure network parameters and compute optimal configurations, substituting complex manual planning processes with streamlined electronic automation
Solution Approach 2:
The patent implements self-configuration capabilities where base stations automatically perform measurements of their operating environment and autonomously determine optimal parameters. The system uses built-in measurement equipment and algorithms to conduct precision parameter configuration without external planning tools, reducing both complexity and cost while maintaining high precision
Data Source
AI summary
The present invention relates to wireless cellular telecommunication networks and, in particular, to control and management of self organizing wireless cellular telecommunication network. A method for network planning and frequency optimization in LTE networks by determining the optimal base station configuration parameters, comprises a base station initialization, an initial base station configuration, an iterative measurement procedure, an optimization process, a verification of operation, and a periodical maintenance procedure.