Adaptive Weighting Filter for Mobile Network Measurement Gaps
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Solution Overview
Problem
In mobile communication networks, physical layer measurement gaps lead to misleading higher layer filtering results, affecting link adaptation and communication quality, as the base station lacks information about these gaps and the filtering process is not transparent.
Innovation Solution
A method using an adaptive weighting coefficient to filter measurement values, adjusting based on the time interval between measurements to account for gaps, ensuring the filtered results better reflect actual channel conditions by weighting current measurements more as gaps increase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed filter coefficient is used for higher layer filtering, then the filtering process is simple and fast, but the filtering results become misleading when physical layer measurement gaps occur
Solution Approach 1:
The patent applies dynamics by making the filter coefficient adaptive rather than fixed. The filter coefficient is dynamically adjusted based on the time interval since the last physical layer measurement, allowing the filtering process to adapt to measurement gaps and maintain accuracy while preserving computational efficiency.
Solution Approach 2:
The patent changes the parameter of the filter coefficient from a static fixed value to a dynamic value that varies based on measurement conditions. Specifically, the filter coefficient is modified according to the time interval Δt since the last physical layer measurement, enabling the system to account for measurement gaps without complex processing.
2Measurement precision
If physical layer measurements are performed continuously, then the filtering results accurately reflect channel conditions, but the UE cannot perform measurements during data reception or idle periods
Solution Approach 1:
The patent applies preliminary action by preparing for measurement gaps in advance. The system calculates the time interval since the last measurement and proactively adjusts the filter coefficient before new measurements become available, ensuring that filtering remains accurate even when measurements are temporarily unavailable due to data reception or idle periods.
3Device complexity
If the base station does not have information about measurement gaps, then the system architecture remains simple, but the base station cannot correctly interpret filtered measurement results
Solution Approach 1:
The patent applies feedback by using the time interval information (which the base station can calculate or receive) to adjust the filtering process. This creates a feedback mechanism where the filtering adapts to measurement gaps without requiring the base station to be explicitly informed about gap timing, thus maintaining architectural simplicity while improving interpretability.
Data Source
AI summary
A method for filtering measurement values of a measurement quantity obtained from a communication between a mobile device and a mobile communication network and a mobile communication network device adapted to filter such measurement values are provided. A measurement value for the measurement quantity is to be periodically received at fixed points in time. The measurement value is filtered using a digital filter for obtaining a filtering result, wherein the filtering of the measurement value includes the weighting of the measurement value with a weighting coefficient. The filtering result can be provided for an adaptation of the communication link to the mobile device.