Queue Management Target Rate Prediction Using Location Data
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Solution Overview
Problem
In mobile data transfer applications, predicting the available data transfer rate is challenging due to fluctuations caused by changes in radio cells, connection quality, and network coverage, leading to inaccurate target rate settings and suboptimal data transmission.
Innovation Solution
A procedure that measures the available data transfer rate and determines a control parameter based on the measured rate and location, using multiple radio modules to forecast the data transfer rate and adapt the queue management accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the target rate is kept low to ensure secure and reliable data transmission, then the reliability of data transmission is improved, but the available data transfer rate is not fully utilized
Solution Approach 1:
The system performs preliminary measurements of data transmission rates at multiple locations along the direction of movement before the communication participant reaches those locations. These advance measurements allow the target rate to be predetermined and adjusted in advance, enabling reliable data transmission while fully utilizing the available data transfer rate when the participant actually reaches each location.
Solution Approach 2:
The patent introduces a spatial dimension to the measurement process by measuring data transmission rates at multiple different locations along the direction of movement, rather than relying on a single point measurement. This multi-location approach captures the spatial variability of network conditions and enables more accurate prediction of future transmission rates.
2Adaptability or versatility
If the target rate is adjusted based on concurrent measurement, then the target rate adapts to current conditions, but the measured data transmission rate deviates significantly from the actually available rate due to movement
Solution Approach 1:
The system performs measurements in advance at multiple locations along the movement path, capturing network conditions before the communication participant reaches those locations. This preliminary measurement approach allows the system to adapt to changing network conditions while avoiding the inaccuracy caused by measuring at a single concurrent moment during movement.
Solution Approach 2:
The measurement process is segmented into multiple discrete location points along the direction of movement. Instead of a single concurrent measurement, the system divides the measurement task into multiple spatial segments, measuring at each location independently. This segmentation allows for more precise characterization of network conditions at specific locations.
3Device complexity
If data transmission rates are measured at a single point, then the measurement process is simple, but the fluctuations in mobile data transmission rate cannot be predicted accurately
Solution Approach 1:
The measurement process is divided into multiple discrete location points along the direction of movement. Each location point provides an independent measurement of the data transmission rate, creating a spatial profile of network conditions. This segmented approach maintains relative simplicity while dramatically improving prediction accuracy compared to single-point measurement.
Solution Approach 2:
The system transitions from single-point measurement to multi-location measurement by adding a spatial dimension to the measurement process. Measurements are taken at multiple locations along the movement path, capturing the spatial variability of network conditions and enabling accurate prediction of transmission rates at future locations.
Data Source
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AI summary
The invention relates to a method (100) for predicting a control parameter for queue management, in which an available data transmission rate is measured (102). Furthermore, a location associated with the measured (102) data transmission rate is determined (104). The control parameter is determined based on the measured (102) data transmission rate and the location associated with this measured (102) data transmission rate (106).