Type I Codebook Structure for 128-Port High-Rank CSI Feedback
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Solution Overview
Problem
Existing Type I codebooks in wireless communication networks are limited in supporting a large number of CSI-RS ports and do not effectively handle transmission scenarios with ranks higher than 4, leading to inefficiencies in signal transmission and reception.
Innovation Solution
Enhanced Type I codebooks are introduced to support up to 128 CSI-RS ports through multiple panels, each characterized by parameters Ng, N1, and N2, and to handle ranks 5, 6, 7, or 8 by employing oversampling factors and Codebook Subset Restriction (CBSR) configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing Type I codebooks are used, then the system is simple to implement, but the system cannot support a large number of CSI-RS ports (more than 64 ports) and ranks higher than 4
Solution Approach 1:
The codebook is segmented into multiple codebook groups, where each group supports a specific range of CSI-RS ports and ranks. This segmentation allows the system to handle large numbers of ports (up to 128) and high ranks (up to 8) by dividing the overall codebook into manageable subsets, each optimized for specific transmission scenarios.
Solution Approach 2:
The patent introduces a new dimension of codebook organization by grouping codebooks according to CSI-RS port counts and rank values. This multi-dimensional classification (by ports, by rank, by codebook group) enables the system to efficiently support diverse transmission configurations without requiring a single monolithic complex codebook structure.
2Productivity
If existing Type I codebooks are used, then the computational complexity is low, but the signal transmission efficiency deteriorates for high-rank transmissions
Solution Approach 1:
The patent performs preliminary organization of codebooks into groups based on expected transmission scenarios (port counts and rank ranges). This preliminary structuring allows the UE to quickly identify and use appropriate codebook groups for high-rank transmissions, improving transmission efficiency without requiring complex real-time computations to determine codebook selection.
Solution Approach 2:
The patent changes the parameter organization of the codebook by introducing group-based classification according to CSI-RS port counts and rank values. This parameter reorganization enables more efficient codebook selection and usage for high-rank transmissions, improving signal transmission efficiency while keeping computational complexity manageable through structured parameter management.
3Adaptability or versatility
If the codebook supports up to 128 CSI-RS ports and ranks 5-8, then the adaptability improves, but the codebook structure and selection complexity increase
Solution Approach 1:
The codebook is divided into multiple codebook groups, where each group is specifically designed to support certain ranges of CSI-RS ports and rank values. This segmentation enables the system to support up to 128 ports and ranks 5-8 by distributing the complexity across multiple specialized groups rather than requiring one overwhelmingly complex unified codebook.
Solution Approach 2:
The patent implements dynamic codebook selection where the UE can adaptively choose appropriate codebook groups based on the actual transmission scenario (number of active CSI-RS ports and desired rank). This dynamic approach allows the system to maintain high adaptability for various configurations while keeping the effective codebook complexity low by only activating the necessary subset for each scenario.
Data Source
AI summary
Disclosed are methods, systems, and computer-readable medium to perform operations that include receiving a channel state information reference signal (CSI-RS), and in response to receiving the CSI-RS, estimating CSI using a type I codebook. The type I codebook corresponds to a plurality of panels, and each panel of the plurality of panels corresponds to one CSI-RS resource.


