Channel State Information Report Coefficients for Wireless Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face inefficiencies due to large and unnecessary codebooks, leading to increased system complexity and resource wastage in channel state information (CSI) reporting.
Innovation Solution
The proposed solution involves a method for channel state information report coefficients, where a user equipment receives a set of reference signals, identifies and selects a subset of ports, computes corresponding coefficients, and generates a CSI report. This approach optimizes CSI-RS beamforming and reduces feedback overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a full codebook is used for channel state information reporting, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the full codebook into multiple subcodebooks, each corresponding to different channel conditions or spatial regions. The UE selects only the relevant subcodebook based on current channel state, thereby reducing the effective codebook size while maintaining comprehensive channel coverage. This segmentation allows the system to achieve full codebook accuracy when needed while operating with reduced complexity in typical scenarios.
Solution Approach 2:
The patent implements partial codebook usage by enabling the UE to report channel state information using only a subset of codebook entries based on channel conditions, spatial filters, or configuration parameters. This partial action approach maintains sufficient measurement precision for practical purposes while significantly reducing the codebook size and associated device complexity compared to using the complete codebook for all reporting instances.
2Measurement precision
If more CSI-RS ports are used, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The patent applies local quality by configuring different numbers of CSI-RS ports for different spatial regions, frequency bands, or channel conditions. Instead of uniformly using maximum ports across all scenarios, the system optimizes the number of ports locally according to specific channel characteristics, user equipment positions, and traffic requirements. This approach maintains high measurement precision where needed while reducing reference signal overhead in scenarios with fewer requirements.
Solution Approach 2:
The patent implements partial port usage by enabling the UE to perform channel estimation and reporting using only a subset of available CSI-RS ports based on configuration, channel conditions, and reporting requirements. This partial action allows the system to achieve sufficient channel estimation accuracy for practical communication needs while significantly reducing the energy consumption and overhead associated with using all available ports in every scenario.
3Adaptability or versatility
If a larger codebook is used, then adaptability is improved, but productivity decreases
Solution Approach 1:
The patent segments the large codebook into multiple specialized subcodebooks, each optimized for specific channel conditions, spatial configurations, or service types. The UE selects the appropriate subcodebook based on current channel state, thereby achieving comprehensive adaptability across diverse scenarios while reducing the amount of feedback required in any given instance. This segmentation maintains full codebook versatility while improving productivity through selective usage.
Solution Approach 2:
The patent enables partial codebook reporting where the UE provides channel state information using only the necessary subset of codebook entries relevant to current channel conditions and service requirements. This partial action approach maintains sufficient adaptability to handle various channel scenarios while significantly reducing feedback overhead compared to reporting all codebook parameters in every situation, thereby improving overall system productivity.
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for channel state information report coefficients. One method (700) includes receiving (702), at a user equipment, a set of reference signals. The method (700) includes identifying (704) a set of ports based on the set of reference signals. The method (700) includes selecting (706) a subset of ports from the set of ports. The method (700) includes computing (708) a subset of coefficients corresponding to a set of indices for each reference signal in the set of reference signals. The method (700) includes generating (710) a channel state information report comprising the subset of coefficients corresponding to the set of indices for each port in the subset of ports.


