Base Station Network State Control Parameter Model Selection
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Solution Overview
Problem
The quality of communication services provided by base stations can be significantly degraded if the central server calculates inappropriate values for network state control parameters, leading to unreliable and unstable service, which is sensitive to user reactions and requires high-level reliability and safety in model application.
Innovation Solution
An electronic device controls a state control parameter for a base station network by obtaining information from the base station, performing simulations using multiple models, selecting the best model based on simulation results, and transmitting the calculated parameter to update the network state, ensuring safety through historical performance evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single model is used for calculating state control parameters, then the calculation process is simple, but the reliability and safety of network state adjustment is insufficient
Solution Approach 1:
The patent segments the model selection process by dividing multiple candidate models into distinct options and selecting the most appropriate model based on current network conditions. This segmentation allows the system to evaluate different models separately and choose the optimal one, thereby improving reliability without requiring all models to be simultaneously active, thus managing complexity effectively.
Solution Approach 2:
The patent changes the parameter of model selection by dynamically choosing different models based on network state conditions. Instead of using a fixed single model, the system adjusts which model is applied according to varying parameters such as network load, traffic patterns, and performance metrics, thereby enhancing reliability while adapting to different operational contexts.
2Reliability
If multiple models are considered for parameter calculation, then the reliability and safety improve, but the complexity of model selection and application increases
Solution Approach 1:
The patent applies preliminary action by pre-evaluating and selecting the appropriate model before actual network state adjustment occurs. The system performs model selection in advance based on current conditions, ensuring that the most suitable model is ready for application. This preliminary selection process improves safety and reliability by avoiding ad-hoc model choices, while the pre-established selection criteria help manage the complexity of having multiple models available.
3Productivity
If a central server calculates parameter values, then the network state can be optimized, but the quality of service may be significantly degraded if inappropriate values are calculated
Solution Approach 1:
The patent implements feedback mechanisms where the central server calculates state control parameters using selected models and then monitors the actual network performance outcomes. This feedback loop allows the system to evaluate whether the calculated parameters achieved the desired optimization without degrading service quality. If degradation is detected, the feedback information is used to adjust future parameter calculations, thereby maintaining both productivity and reliability.
Data Source
AI summary
A method, performed by an electronic device, of controlling a state control parameter for adjusting a state of a network of a base station, using any one of a plurality of models, includes: obtaining information related to the state of the network from the base station, performing simulation on each of the plurality of models based on the obtained information related to the state of the network, selecting any one model from among the plurality of models based on a result of the performed simulation, and transmitting a value of the state control parameter, calculated using the selected any one model, to the base station to update the state control parameter.