Dynamic Filter Coefficient Selection for 5G Measurement Reporting
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Solution Overview
Problem
In 5G wireless communication systems, the fixed filter coefficient approach is inadequate for varying reference signal (RS) periodicity, limiting the ability of user equipment (UE) to adjust and report measurement results effectively.
Innovation Solution
A method where the UE receives a set of filter coefficients configured per RS periodicity and type from the network, allowing it to select and apply the appropriate filter coefficient for measurement reporting, with filtering performed on the radio interface layer 3.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed filter coefficient is used, then the device complexity is reduced, but the adaptability to varying RS periodicity deteriorates
Solution Approach 1:
The patent implements dynamic filter coefficient selection by configuring multiple filter coefficients corresponding to different RS periodicities (e.g., 5ms, 10ms, 20ms, 40ms, 80ms, 160ms). The UE dynamically selects the appropriate filter coefficient based on the current RS periodicity, transforming the static filter configuration into a dynamic adaptive system that responds to varying measurement conditions.
Solution Approach 2:
The patent changes the parameter of filter coefficient based on RS periodicity. By configuring different filter coefficients for different periodicities and selecting the appropriate one based on current conditions, the system adapts its filtering characteristics to match the measurement requirements, thereby resolving the contradiction between fixed configuration and adaptability.
2Adaptability or versatility
If filter coefficient is configured per RS periodicity, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent segments the filter coefficient configuration into multiple discrete values, each corresponding to a specific RS periodicity. Instead of using a single complex adaptive algorithm, the system divides the solution into multiple simple lookup options (e.g., coefficient sets for 5ms, 10ms, 20ms, 40ms, 80ms, 160ms periodicities), making the complexity manageable through segmentation.
Solution Approach 2:
The patent manages complexity by parameterizing the filter coefficient based on RS periodicity. The network configures a set of filter coefficients corresponding to different periodicities, and the UE selects the appropriate parameter set based on current conditions. This parameter-based approach organizes complexity in a structured manner that is easier to implement and manage.
3Measurement precision
If filtering is performed on layer 3, then the measurement precision is improved, but the processing time increases
Solution Approach 1:
The patent applies preliminary filtering action at layer 3 before measurement reporting. By performing the filtering operation in advance on the raw measurement data, the system prepares refined measurement results that are ready for reporting, improving precision while managing processing time through efficient layer 3 filtering operations.
Data Source
AI summary
Provided are a method for performing measurement and a device supporting the method. According to an embodiment of the present invention, a method comprises: receiving a reference signal (RS); receiving a measurement configuration including a set of filter coefficients from a network, wherein each filter coefficient in the set of filter coefficients is configured per periodicity of the RS; performing a measurement based on the RS; selecting a filter coefficient in the set of filter coefficients based on the periodicity of the RS; and reporting a result of the measurement filtered based on the selected filter coefficient.