Communication Terminal Predicting Quality via Environmental Sensing
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Solution Overview
Problem
In wireless communication systems, especially in vehicles, drones, construction machinery, and robots, the communication quality is significantly affected by changes in the surrounding environment, leading to variations in throughput, delay, continuity, and stability.
Innovation Solution
A communication system that predicts future communication quality by using information from cameras, sensors, and other environmental data collection devices. This system includes an object detection unit, a communication quality learning unit, and a communication prediction unit, which work together to generate a learning model that forecasts communication quality based on environmental and terminal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication is used in vehicles, drones, and robots, then connectivity and data transmission are enabled, but communication quality varies significantly due to environmental changes such as shielding objects and propagation conditions
Solution Approach 1:
The system performs preliminary actions by detecting current environmental factors (shielding objects, propagation conditions) and predicting future communication quality before actual degradation occurs. This allows proactive adjustment of communication parameters or switching to alternative communication modes to maintain reliability despite environmental variations.
2Measurement precision
If environmental sensing and prediction functions are added to terminals, then future communication quality can be predicted, but device complexity increases
Solution Approach 1:
The terminal integrates multiple functions into a unified system: environmental sensing units detect both communication quality metrics and physical environment factors, the prediction unit processes this data to forecast future quality, and the control unit adjusts communication parameters accordingly. This multi-functional integration reduces overall system complexity compared to separate dedicated systems for each function.
Data Source
AI summary
An object is to provide a communication system and a terminal 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 terminal according to the present invention learn an input and output relationship from terminal information such as surrounding environment information of the terminal that can be acquired by a camera, a sensor, or the like, and position information of the 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.