Wireless Attenuation Estimation for Weather-Adaptive Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in maintaining line quality due to weather conditions, as they require additional equipment for weather sensing and rely on accurate external rainfall information, which complicates the system and increases costs, and struggle with sudden local weather changes and high processing loads.
Innovation Solution
A wireless communication control device that estimates future radio field intensity attenuation based on historical data from another wireless communicator, allowing for adaptive control of communication parameters without additional equipment, using machine learning methods to predict and mitigate the effects of weather changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor is added to acquire weather information, then wireless line quality control is improved, but device complexity and cost increase
Solution Approach 1:
The system uses its own existing reception quality measurements to estimate future attenuation, eliminating the need for external weather sensors. The wireless communication device serves itself by utilizing its received signal strength information to predict and compensate for weather-related attenuation.
Solution Approach 2:
The reception quality measurement unit, originally designed for basic signal monitoring, is repurposed to provide attenuation estimation data. Existing components perform multiple functions: the reception quality measurement serves both standard communication monitoring and weather-related attenuation prediction.
2Measurement precision
If external rainfall information is obtained and image processing is used for estimation, then attenuation prediction accuracy is improved, but processing load increases
Solution Approach 1:
The invention extracts only the necessary attenuation information directly from reception quality measurements, discarding the need for complex external rainfall data acquisition and image processing. Only the essential signal strength data is retained and used for attenuation estimation.
Solution Approach 2:
Complex image processing and external data acquisition systems are replaced with a simpler computational approach that uses basic reception quality measurements and mathematical estimation to achieve attenuation prediction.
3Measurement precision
If rainfall information is obtained from outside in advance, then attenuation estimation is improved, but adaptability to local sudden weather changes deteriorates
Solution Approach 1:
The system continuously monitors reception quality in real-time, maintaining up-to-date measurements that immediately reflect current weather conditions. This continuous preliminary monitoring enables rapid adaptation to sudden local weather changes without relying on advance external rainfall forecasts.
Solution Approach 2:
The system uses real-time reception quality feedback to continuously update attenuation estimates. The measured reception quality directly feeds into the attenuation estimation process, creating a closed-loop system that automatically adapts to changing weather conditions.
Data Source
AI summary
An object of the present invention is to provide a wireless communication control method and a device, and a wireless communication apparatus which can control wireless line quality appropriately according to a weather change without adding special equipment.Therefore, in the present invention, a wireless communication control device includes an attenuation amount estimation unit to estimate a future attenuation amount from history of an attenuation amount of radio field intensity to a wireless communicator from another wireless communicator, and a control unit to control the wireless communicator based on the estimated attenuation amount.