Base Station Communication Quality Prediction
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Solution Overview
Problem
Communication quality in wireless systems mounted on vehicles, drones, and construction machinery is significantly affected by changes in the surrounding environment, leading to issues with throughput, delay, continuity, and stability, which existing technologies fail to predict and manage effectively.
Innovation Solution
A communication system that uses a base station with a management unit, object detection unit, and communication quality learning unit to predict future communication quality by analyzing surrounding environmental information from cameras and sensors, and machine learning models to generate predictions based on base station management and object information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless communication is used in mobile devices, then mobility and flexibility are improved, but communication quality becomes unstable due to environmental changes
Solution Approach 1:
The system performs preliminary actions by detecting objects and predicting communication quality in advance before actual communication degradation occurs. The object detection unit identifies potential obstacles, and the communication quality prediction unit forecasts future communication states, allowing the system to take preventive measures before communication quality deteriorates.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring current communication quality, comparing it with predicted future quality, and using this information to adjust communication parameters. The base station receives feedback about actual communication quality and uses it to refine predictions and adjust transmission parameters dynamically.
2Measurement precision
If environmental factors are monitored in real-time, then communication quality prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the complex monitoring task into distinct functional units: an object detection unit that identifies environmental objects, a communication quality measurement unit that assesses current quality, and a prediction unit that forecasts future quality. This segmentation allows each unit to focus on a specific function, improving overall accuracy while managing complexity through modular design.
Solution Approach 2:
The system introduces an intermediary prediction model that bridges environmental observations and communication quality assessment. Instead of directly correlating all environmental factors with communication quality, the prediction unit acts as an intermediary that processes object detection data and environmental information to generate quality predictions, simplifying the overall system architecture.
Data Source
AI summary
An object is to provide a communication system and a base station capable of predicting future communication quality in order to enable variations in communication quality due to variations in environment to be addressed. A communication system and a base station according to the invention learn an input and output relationship from surrounding environment information of the base station that can be acquired by a camera, a sensor, or the like, terminal information such as position information of a terminal and current communication quality to generate a learning model, and predict future communication quality using the learning model, the surrounding environment information, and the terminal information.