Space-Delay Precoding Structure for Low-Feedback MIMO Beamforming
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Solution Overview
Problem
Existing wireless communication systems face significant challenges in reducing feedback overhead associated with precoding, particularly in multi-antenna systems, which can lead to increased computational complexity and inefficiencies.
Innovation Solution
Implementing a dual-stage space-delay precoding structure that includes a spatial codebook matrix and a frequency-domain codebook matrix, where each vector is associated with a delay or delay difference, and a combining element for complex scaling/combining, allowing for reduced feedback by exploiting specific advantages of different precoders for various transmission ranks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional precoding is used in multi-antenna systems, then communication performance is maintained, but feedback overhead increases significantly
Solution Approach 1:
The patent segments the precoding process into two distinct stages: wideband precoding for spatial dimension and subband precoding for frequency dimension. This segmentation allows feedback to be provided separately for each stage, reducing the overall feedback overhead compared to conventional single-stage precoding while maintaining communication performance through the structured dual-stage approach
Solution Approach 2:
The patent introduces a dual-stage structure that adds a temporal dimension to the precoding process by separating wideband and subband operations. This dimensional separation enables more efficient feedback mechanisms where only essential parameters need to be fed back at each stage, rather than complete precoding matrices, thus reducing feedback overhead
2Device complexity
If feedback overhead is reduced, then system complexity decreases, but mutual information and rate performance deteriorate
Solution Approach 1:
The patent applies preliminary wideband precoding before subband processing, where the wideband stage establishes optimal spatial beamforming based on long-term channel statistics. This preliminary action captures the dominant spatial characteristics that persist across frequency, allowing reduced feedback in subsequent subband stages while maintaining mutual information through the pre-established spatial structure
Solution Approach 2:
The patent changes the feedback parameters from complete precoding matrices to reduced sets of parameters that define the dual-stage precoders. By parameterizing the precoding structure to exploit channel correlations across frequency and space, the system maintains rate performance with fewer feedback parameters, thus reducing complexity without sacrificing reliability
3Loss of information
If conventional precoding is used at mmWave frequencies, then channel coverage is maintained, but feedback overhead increases due to sparse channel characteristics
Solution Approach 1:
The patent applies local quality by treating wideband and subband channels differently according to their specific characteristics. The wideband stage handles the sparse mmWave channel structure with robust spatial beamforming, while the subband stage adapts to frequency-specific variations. This localized treatment of different channel domains reduces feedback overhead by focusing feedback on the most critical parameters for each stage rather than uniform feedback across all frequencies
Data Source
AI summary
A receiver processes a radio signal received via a radio channel from a transmitter employing a plurality of antenna ports, determines complex precoder coefficients and delays of one or more space-delay precoders for one or more transmission layers and antenna ports at the transmitter so as to achieve a predefined property for a communication over the radio channel, and feeds back, explicitly or implicitly, delays and the complex precoder. The space-delay precoder has a dual-stage structure having a spatial codebook matrix including spatial beamforming vectors, a frequency-domain codebook matrix, and a combining element per layer for complex scaling or combining one or more of the vectors selected from the spatial and/or frequency-domain codebook matrices. The frequency-domain codebook matrix is defined by a sub-matrix of a DFT matrix, which the sub-matrix of the DFT matrix is associated with a range of delay values.


