Spatial Filter Prediction Across Frequency Bands to Reduce Measurement Delay
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Solution Overview
Problem
In communications systems, measuring spatial filters for multiple frequency bands increases overheads and measurement delays for terminal devices, particularly in systems using multi-beam transmission.
Innovation Solution
Implementing spatial filter prediction methods using neural networks to predict spatial filters for different frequency bands based on measurement results, reducing the need for exhaustive measurements across all bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal device measures all spatial filters corresponding to multiple frequency bands, then the spatial filter selection quality is improved, but the overheads and measurement delay increase
Solution Approach 1:
The patent applies preliminary action by measuring and determining spatial filters for a first frequency band in advance, then using these pre-determined spatial filters to predict and select spatial filters for a second frequency band. This eliminates the need to perform exhaustive measurements on all frequency bands, thereby reducing measurement delay while maintaining spatial filter selection quality through the prediction mechanism.
2Measurement precision
If the terminal device measures all spatial filters corresponding to multiple frequency bands, then the spatial filter selection quality is improved, but the overheads increase
Solution Approach 1:
The patent extracts the measurement process from the second frequency band by using spatial filter prediction. Instead of measuring all spatial filters across multiple frequency bands, the terminal device only measures spatial filters for the first frequency band and extracts the necessary spatial filter information for the second frequency band through prediction, thereby reducing overheads while maintaining selection quality.
3Productivity
If spatial filter prediction is performed based on measurement results from one frequency band, then overheads and measurement delay are reduced, but the complexity of the prediction mechanism increases
Solution Approach 1:
The patent applies copying by creating a prediction model that replicates the spatial filter characteristics from the first frequency band to the second frequency band. The terminal device copies the spatial filter information determined from measurements in the first frequency band and uses it to predict spatial filters for the second frequency band, thereby improving measurement efficiency while managing complexity through a systematic copying approach rather than exhaustive measurement.
Data Source
AI summary
The present application provides spatial filter prediction methods, a terminal device, and a network device. A method comprises: a terminal device measures a first spatial filter set; and, according to a measurement result of the first spatial filter set, the terminal device performs spatial filter prediction on a second spatial filter set, wherein the first spatial filter set corresponds to a first frequency band, and the second spatial filter set corresponds to a second frequency band.