Antenna Array CSI Codebook Switching for Near-Field Precoding
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Solution Overview
Problem
Existing 5G NR cellular networks face challenges in accurately reporting channel state information (CSI) due to assumptions based on far-field regimes, which are compromised in near-field communication scenarios, leading to suboptimal performance and increased bit/block error rates.
Innovation Solution
Implement dynamic codebook selection and adjustment of the number of vectors used for precoding, switching between Type I and Type II codebooks, and adjusting the value of L to optimize performance in near-field regimes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If far-field regime assumptions are used for CSI reporting, then existing codebook designs can be applied, but performance deteriorates in near-field communication scenarios with increased bit/block error rates
Solution Approach 1:
The patent implements dynamic codebook selection that adapts between Type I and Type II codebooks based on communication conditions. The system dynamically adjusts the codebook type and number of vectors (L) used for precoding, enabling flexible adaptation to near-field scenarios while maintaining compatibility with existing far-field systems.
Solution Approach 2:
The patent changes key parameters including codebook type selection (Type I vs Type II) and the number of vectors L used in precoding matrices. These parameter changes enable the system to optimize performance for near-field communication by selecting appropriate codebook configurations based on channel conditions and device requirements.
2Reliability
If Type II codebooks with increased number of vectors are used, then performance in near-field regimes improves, but feedback overhead and complexity increase
Solution Approach 1:
The system dynamically selects between Type I and Type II codebooks and adjusts the number of vectors L based on communication conditions. This dynamic approach allows the system to use more complex Type II codebooks only when needed for near-field performance, while falling back to simpler Type I codebooks when appropriate, thus balancing performance gains with complexity management.
Solution Approach 2:
The patent segments the codebook selection into distinct types (Type I and Type II) with different complexity levels. By dividing the codebook space into manageable segments and selecting appropriate segments based on conditions, the system avoids the overhead of always using the most complex codebook configuration.
3Productivity
If dynamic codebook selection and vector adjustment are implemented, then throughput improves and error rates reduce, but feedback overhead increases due to additional CSI parameters
Solution Approach 1:
The system implements partial feedback by selectively reporting only the necessary CSI parameters (codebook type selection and number of vectors L) rather than complete channel state information. This partial action approach provides just enough information for the base station to configure appropriate precoding without requiring exhaustive feedback, thus improving throughput while controlling overhead.
Solution Approach 2:
The patent extracts only the essential parameters needed for dynamic codebook selection (codebook type indicator and vector count L) from the full CSI report. By taking out only these critical parameters, the system enables adaptive precoding configuration without transmitting complete channel state information, thereby reducing feedback overhead while maintaining productivity benefits.
Data Source
AI summary
Methods, systems, and devices for reporting channel state information for antenna arrays in cellular networks. An example method of wireless communication may include determining, by a network node, a mapping between a first channel state information (CSI) parameter and a second CSI parameter, which is followed by transmitting, by the network node to a wireless device, at least one of the first CSI parameter or the second CSI parameter. In this example, the first CSI parameter may include at least one of: a codebook type selection parameter or a positive integer L indicative of a number of vectors associated with a precoding matrix, and the second CSI parameter may include a base vectors group selection parameter.