Wireless Parameter Adjustment Using E-Greedy Performance Feedback
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Solution Overview
Problem
Existing wireless communication systems require significant human resources for manual parameter adjustments, leading to inaccuracies in parameter selection.
Innovation Solution
A method and server for automatically adjusting parameters by acquiring index values, searching for superiority of candidate values based on these indices, and selecting the most suitable value using an E greedy algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parameter adjustment is performed by network optimization engineers, then parameter selection can be customized according to specific requirements, but significant human resources are consumed and parameter selection accuracy may be compromised
Solution Approach 1:
The system enables self-service through automated parameter adjustment. The network optimization system automatically acquires performance index values, searches for superior candidate values, and selects optimal parameters without requiring network optimization engineers to manually perform these tasks, thereby eliminating human resource consumption while maintaining or improving accuracy
Solution Approach 2:
The patent replaces the mechanical manual adjustment process with an automated electronic system. The network optimization system uses computer algorithms to acquire performance data, evaluate candidate parameters, and automatically adjust base station parameters, substituting human manual operations with automated computational processes
2Productivity
If manual parameter adjustment is performed, then some level of parameter customization is achieved, but the process is time-consuming and resource-intensive
Solution Approach 1:
The network optimization system implements continuous parameter optimization by automatically and continuously acquiring performance index values and adjusting parameters based on real-time or periodic performance data, eliminating the intermittent and discontinuous nature of manual adjustment processes
Solution Approach 2:
The patent replaces manual mechanical adjustment operations with automated electronic control systems that can rapidly process performance data and implement parameter changes, dramatically increasing adjustment speed and productivity while reducing time consumption
3Adaptability or versatility
If more parameters are provided for flexibility and personalization, then the base station can meet special scenario requirements, but the complexity of base station design and parameter management increases
Solution Approach 1:
The network optimization system provides universal adaptability by automatically handling diverse parameter adjustment scenarios through a unified automated framework. The system can accommodate different base station types, scenarios, and requirements through standardized automated processes, eliminating the need for complex manual configuration for each specific case
Solution Approach 2:
The system uses feedback mechanisms to manage parameter complexity. By continuously acquiring performance index values and automatically adjusting parameters based on observed performance, the system simplifies parameter management through closed-loop control, eliminating the need for complex manual planning and reducing the burden of managing multiple parameters
Data Source
AI summary
Provided are a parameter adjustment method, a server, and a storage medium. The parameter adjustment method comprises: acquiring an index value of a first performance index of a device; searching for superiority of each of a plurality of candidate values for a target operation parameter of the device on the basis of the index value of the first performance index, wherein the superiority of each of the plurality of candidate values refers to a superiority level of each of the plurality of candidate values that each of the plurality of candidate values is set to the target operation parameter on the basis of the index value of the first performance index; and selecting one candidate value as a set value of the target operation parameter after the adjustment according to the searched superiority of each of the plurality of candidate values.


