Base Station Autoconfiguration Using Neural Network Prediction

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Solution Overview

Problem

Configuring base stations in communications networks is prone to errors and inefficiencies due to the manual setting of multiple parameters, which can lead to malfunctions and suboptimal network operation.

Innovation Solution

An automated method using artificial intelligence, specifically neural networks and machine learning, to predict and configure base station parameters based on data from similar active base stations, incorporating network planning data to ensure accurate and efficient autoconfiguration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual parameter setting is used for base station configuration, then configuration flexibility and control are maintained, but configuration errors increase and efficiency decreases

Engineering Contradiction:

Improvebase station configuration efficiencyVSAvoidconfiguration accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The base station configuration system performs self-service by automatically determining and applying configuration parameters. The system extracts relevant parameters from network planning data and actively configures the base station without requiring manual intervention, thereby improving both efficiency and accuracy simultaneously

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical configuration process with an automated information processing system. Instead of manual parameter entry, the system uses computational algorithms to process network planning data and automatically generate correct configuration parameters, eliminating human error while maintaining configuration flexibility

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If multiple configuration parameters are manually set, then detailed control over base station settings is achieved, but the complexity and time required for configuration increases

Engineering Contradiction:

Improveconfiguration simplicityVSAvoidconfiguration time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-processing network planning data to extract and prepare all necessary configuration parameters before the actual base station configuration. This advance preparation eliminates the need for manual parameter selection during configuration, significantly reducing configuration time while maintaining simplicity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent applies extraction by selectively extracting only the relevant configuration parameters from the comprehensive network planning data. The system identifies and isolates the specific parameters needed for base station configuration, separating them from unnecessary information, which simplifies the configuration process and reduces the time required

Inventive Principle:

Principle #2Taking out (Extraction)

3Reliability

If manual configuration is used, then configuration customization is possible, but configuration errors and malfunctions increase

Engineering Contradiction:

Improveconfiguration correctnessVSAvoidconfiguration process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system incorporates feedback mechanisms that continuously verify configuration correctness by comparing extracted parameters against network planning data and validation rules. This feedback loop detects and prevents configuration errors before they cause malfunctions, ensuring reliability while automating the complexity management

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent introduces an intermediary processing layer between the network planning data and the base station configuration. This intermediary system (the parameter extraction and validation module) acts as a mediator that translates complex planning data into correct, actionable configuration parameters, filtering out errors and simplifying the overall process

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20240163695A1Autoconfiguration of base stations of a communications network

Publication Date: 2024.05.16 ELISA OYJ

AI summary

A computer implemented method for autoconfiguration of a first base station of a communications network. The method comprises: obtaining (320), from the network, base station configuration data, wherein the base station configuration data comprises parameter values from plurality of active base stations and/or cells of the communications network; obtaining (330) network planning data; predicting (340) autoconfiguration parameters for the first base station based on the obtained base station configuration data and the obtained network planning data; and configuring (360) the first base station using the predicted autoconfiguration parameters.