Mobile Reception Quality Prediction With Neighboring-Region Correction
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Solution Overview
Problem
Existing methods for predicting reception quality in mobile communication systems, such as RSRP, are inaccurate due to the complexity of radio propagation, especially in regions where no valid measurements are available, and rely solely on channel modeling which is not sufficiently precise.
Innovation Solution
A method combining measurement and channel modeling to predict reception quality by using a grid of adjacent regions, determining delta values between measured and calculated qualities, and applying weighted averaging of delta values from neighboring regions to correct calculated reception qualities where no measurements are available, utilizing different channel models based on radio environment characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel modeling alone is used to predict reception quality, then the prediction can be made without measurements, but the accuracy of the prediction is insufficient due to the complexity of radio propagation
Solution Approach 1:
The patent combines channel modeling with measurement data from neighboring regions to predict reception quality. The prediction for a target region is calculated by correcting the channel model prediction using delta values derived from measurements in adjacent regions, thereby improving accuracy while managing complexity through selective data integration.
Solution Approach 2:
The patent introduces delta values as intermediary parameters that capture the difference between measured and calculated reception qualities in neighboring regions. These delta values serve as correction factors that mediate between the theoretical channel model predictions and actual measured data, improving prediction accuracy for regions without measurements.
2Measurement precision
If measurements are taken in all regions to improve prediction accuracy, then the prediction accuracy improves, but the measurement effort and system complexity increase significantly
Solution Approach 1:
The patent applies local quality by using measurements only from neighboring regions that have similar radio propagation characteristics to the target region. The system selectively applies delta values from adjacent regions rather than requiring measurements from all regions, thereby improving accuracy where needed while reducing overall measurement requirements.
Solution Approach 2:
The patent performs preliminary measurements in neighboring regions and pre-calculates delta values that can be applied to target regions. This preliminary action in adjacent areas enables accurate predictions in regions without direct measurements, reducing the total number of measurements needed while maintaining high accuracy.
3Measurement precision
If delta values from multiple neighboring regions are used to correct predictions, then the prediction accuracy for regions without measurements improves, but the calculation complexity increases
Solution Approach 1:
The patent uses partial action by selecting only the most relevant neighboring regions for delta value calculation rather than using all available neighbors. The system applies corrections from a subset of adjacent regions that have the strongest influence on the target region, improving accuracy while avoiding the computational overhead of processing all possible neighboring data.
Data Source
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AI summary
Examples relate to a method, a computer program, and an apparatus for predicting a reception quality in a mobile communication system. The method (10) for predicting a reception quality in a mobile communication system comprises considering (11) a grid of adjacent regions overlaying a coverage area of the mobile communication system and determining (12) measured reception qualities for a subset of regions in the grid. The method (10) further comprises determining (13) a calculated reception quality per region in the grid based on a channel model applied for said region. For a region, for which no measured reception quality is available (14) the method (10) also comprises determining (15) a delta value as a difference between a measured reception quality and a calculated reception quality in an adjacent region and obtaining (16) a predicted reception quality for the region, for which no measured reception quality is available, by correcting a calculated reception quality for said region based on the delta value.