Channel Estimation with Weighted Precoding to Reduce Indication Overhead
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Solution Overview
Problem
The high indication overheads associated with independently indicating precoding vectors for multiple frequency bands in MIMO systems pose a challenge.
Innovation Solution
Generate a space-frequency matrix or vector by performing a weighted combination of space-frequency component matrices or vectors, which are then indicated to reduce overheads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precoding vectors for multiple frequency bands are independently indicated, then the precision of channel estimation is improved, but the indication overhead increases
Solution Approach 1:
The patent segments the precoding vector indication into two parts: a first precoding vector applied to all frequency bands, and second precoding vectors applied to specific frequency bands. This segmentation allows the system to maintain precise channel estimation for each frequency band while reducing overall indication overhead by sharing the first precoding vector across multiple bands.
Solution Approach 2:
The patent merges the indication of precoding vectors by having the receive end device determine a first precoding vector that is applied to all frequency bands, and then determine second precoding vectors for specific frequency bands based on the first precoding vector. This merging approach reduces the total number of independent indications required while maintaining estimation precision.
2Manufacturing precision
If precoding vectors for multiple frequency bands are independently indicated, then the accuracy of spatial multiplexing is improved, but the signaling complexity increases
Solution Approach 1:
The patent segments the precoding vector indication into a first precoding vector for all frequency bands and second precoding vectors for specific frequency bands. This segmentation maintains spatial multiplexing accuracy by allowing frequency-band-specific adjustments while reducing signaling complexity through the shared first precoding vector.
Solution Approach 2:
The first precoding vector serves a universal function across all frequency bands, acting as a base precoding vector that can be applied universally. This multi-functionality reduces signaling complexity by eliminating the need to independently indicate separate precoding vectors for each frequency band, while second precoding vectors provide targeted adjustments where needed.
3Reliability
If multiple precoding vectors are indicated separately for each frequency band, then the quality of reception is improved, but the indication overhead becomes excessive
Solution Approach 1:
The patent segments precoding vector indication into a first precoding vector applied to all frequency bands and second precoding vectors applied to specific frequency bands. This segmentation maintains reception quality by preserving frequency-band-specific precoding adjustments while reducing indication overhead through the shared first precoding vector.
Solution Approach 2:
The patent merges the indication process by determining the first precoding vector that applies to all frequency bands, then determining second precoding vectors for specific frequency bands based on the first. This combining approach reduces total indication overhead while maintaining the reception quality benefits of frequency-band-specific precoding.
Data Source
AI summary
Embodiments of this application disclose a channel estimation method and apparatus. The method includes: receiving indication information for indicating M N-dimensional precoding vectors, wherein each precoding vector is applied to one of M frequency bands, wherein the M N-dimensional precoding vectors form a space-frequency matrix, wherein the space-frequency matrix is generated by performing a weighted combination on a plurality of space-frequency component matrices, wherein M≥1, N≥2, and both M and N are integers, wherein the space-frequency matrix is associated with one spatial stream of a plurality of spatial streams, and wherein quantities of frequency-domain component vectors associated with each of space-frequency matrices of different spatial streams of the plurality of spatial streams are the same; and determining the M N-dimensional precoding vectors based on the indication information.