Channel State Information Feedback Using Basis Matrix and Coefficients
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Solution Overview
Problem
The existing codebook-based feedback schemes in cellular systems have limited precision for channel state information, making them inadequate for sophisticated preprocessing algorithms like Multi-User Multi-Input Multi-Output (MU-MIMO) transmission.
Innovation Solution
A method and device for transmitting channel state information using a UE that determines a basis matrix and combination coefficient matrix from a candidate beam vector set, allowing for higher precision feedback of channel state parameters to the base station, enabling improved accuracy in pre-coding and enhancing MU-MIMO transmission performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If codebook-based feedback schemes are used, then feedback overhead is reduced and implementation is simplified, but channel state information precision is limited and insufficient for sophisticated preprocessing algorithms
Solution Approach 1:
The patent segments the channel state information feedback into two distinct parts: a basis matrix indicator (indicating selected beam vectors from a codebook) and combination coefficients (providing continuous precision adjustments). This segmentation allows the system to use a simplified codebook structure for the basis matrix while adding precision through the combination coefficients, thereby improving channel state information precision without completely redesigning the feedback scheme architecture.
Solution Approach 2:
The patent adds a new dimension to the traditional codebook-based feedback by introducing combination coefficients that operate alongside the basis matrix indicator. Instead of relying solely on selecting from discrete codebook entries, the combination coefficients provide an additional degree of freedom for precise channel representation, effectively moving from a one-dimensional codebook selection to a two-dimensional feedback structure (discrete basis + continuous coefficients).
2Measurement precision
If traditional codebook structures are used, then implementation is simpler and compatibility is maintained, but precision is insufficient for MU-MIMO transmission schemes
Solution Approach 1:
The patent performs preliminary action by pre-defining a codebook of basis vectors at both the base station and UE before actual channel feedback occurs. This pre-established codebook structure maintains implementation ease and compatibility, while the subsequent combination coefficients provide the necessary precision for MU-MIMO operations without requiring complex real-time computations.
Solution Approach 2:
The combination coefficients act as an intermediary between the discrete codebook structure and the continuous channel state information. Instead of directly quantizing the entire channel matrix (which would be complex), the system uses the codebook as an intermediary basis and represents the channel as a linear combination of these basis vectors with continuous coefficients, thereby maintaining implementation simplicity while achieving high precision.
3Adaptability or versatility
If fixed downward inclination angle is used, then horizontal beam adjustment is sufficient for linear arrays, but vertical direction performance cannot be optimized
Solution Approach 1:
The patent transitions from a one-dimensional linear antenna array (with only horizontal beam adjustment) to a two-dimensional planar antenna array that enables beam adjustment in both horizontal and vertical directions. This dimensional expansion adds vertical adaptability to the system, allowing optimization of downlink performance for users at different spatial locations without significantly increasing overall system complexity.
Solution Approach 2:
The planar antenna array structure provides multi-functionality by enabling both horizontal and vertical beamforming capabilities within a single array configuration. This universal structure can serve multiple purposes: maintaining compatibility with existing horizontal beam adjustment while adding vertical dimension optimization, thereby improving adaptability without requiring separate antenna systems for different directions.
Data Source
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AI summary
Disclosed in the present invention are a method and a device for transmitting channel state information, for solving the problem that due to the limitation of a codebook structure, the prior art can only provide channel state information with limited precision and it is not suitable for a base station to use a transmission scheme of an advanced preprocessing algorithm. The method comprises: a terminal determining a basis matrix according to a candidate wave beam vector set, the basis matrix being a matrix formed by N wave beam vectors from the candidate wave beam vector set, the N being a positive integer; the terminal determining a combined coefficient matrix according to the basis matrix and a channel state parameter; the terminal feeding back the identification information of the basis matrix and the combined coefficient matrix to a base station. The invention effectively improves the precision of channel state information feedback, and improves the performance of multi-antenna transmission, especially multiple user-multiple input multiple output (MU-MIMO) transmission.