Mobile Unit Radio Bearer Selection Using Location Prediction
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Solution Overview
Problem
Current methods for selecting the best radio bearer in radio transmission systems for mobile objects are inadequate as they do not account for future signal quality, leading to inaccurate decisions due to unpredictable changes in bearer quality and the object's movement speed.
Innovation Solution
A method where a mobile unit predicts the expected quality of radio bearers based on its location and speed, using stored historical data and real-time measurements to select the best bearer and report errors, thereby optimizing bearer selection and preventing premature switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bearer selection is based only on current measured quality parameters, then the selection process is simple and fast, but the accuracy of bearer selection deteriorates due to lack of future quality information
Solution Approach 1:
The patent applies preliminary action by storing historical quality parameters of radio bearers in advance during previous traversals of the route. This pre-collected data is then used to predict future bearer quality, enabling more accurate bearer selection decisions without requiring complex real-time analysis of future conditions.
Solution Approach 2:
The patent implements feedback by continuously comparing currently measured quality parameters with stored historical values and using this comparison to update and refine the stored quality information. This feedback mechanism improves measurement precision over time while maintaining a manageable level of system complexity through iterative learning.
2Reliability
If bearer switching is performed frequently to maintain optimal quality, then transmission quality is improved, but system stability deteriorates due to premature and unnecessary switching
Solution Approach 1:
The patent uses preliminary action by predicting future bearer quality based on stored historical data before actually switching bearers. This allows the system to anticipate quality improvements and avoid premature switching by waiting until the predicted quality threshold is genuinely met, thereby stabilizing bearer selection while maintaining transmission quality.
Solution Approach 2:
The patent applies preliminary anti-action by using predicted future quality information to counteract the tendency toward premature bearer switching. The system proactively identifies when switching would be unnecessary by comparing current bearer quality with predicted future quality, thereby preventing unstable switching behavior before it occurs.
3Measurement precision
If historical quality data is stored and used for prediction, then bearer selection accuracy is improved, but information storage requirements increase
Solution Approach 1:
The patent applies the taking out principle by extracting and storing only the essential quality parameters of radio bearers at specific route locations, rather than storing complete raw measurement data. This selective extraction of critical information maintains prediction accuracy while significantly reducing the volume of stored data.
Solution Approach 2:
The patent uses partial action by storing quality information for only the most relevant parameters and locations along the route, rather than comprehensively storing all possible measurement data. This partial storage approach provides sufficient prediction accuracy for bearer selection while keeping information storage requirements manageable.
Data Source
AI summary
A method and an apparatus for selection of a radio carrier from a number of available radio carriers in radio transmission systems are provided. The respective best radio carrier is selected in a mobile unit as a function of the location of the mobile unit, with the selection being made on the basis of the information currently determined by and already available in the mobile unit, relating to the quality of the available radio carriers.