Multi-TRP CSI Quantization for Phase-Aware Channel Feedback
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Solution Overview
Problem
In the NR communication system, the performance loss is increased due to phase differences and varying sparseness between transmission reception points (TRPs) and user equipment, leading to inefficiencies in channel state information (CSI) reporting.
Innovation Solution
A method for a terminal device to normalize and quantize different small-scale and large-scale channel information for multiple network devices, reducing CSI reporting overheads and improving performance by feeding back tailored information to each TRP.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the terminal device reports the same quantity of space domain beams, frequency domain beams, and weighting coefficients to different TRPs, then the CSI reporting process is simple, but the performance loss increases due to phase differences and varying sparseness between TRPs and UE
Solution Approach 1:
The patent applies local quality by allowing the terminal device to determine different quantities of space domain beams, frequency domain beams, and weighting coefficients for each TRP based on their specific channel characteristics. The terminal device calculates the quantity of beams and coefficients separately for each TRP, enabling tailored CSI reporting that adapts to the unique phase differences and sparseness of each TRP-UE link, thereby improving performance accuracy without excessive complexity
Solution Approach 2:
The patent implements dynamics by making the CSI reporting parameters adaptive rather than fixed. The terminal device dynamically determines the quantity of space domain beams, frequency domain beams, and weighting coefficients based on real-time channel conditions of each TRP. This dynamic adjustment allows the system to optimize performance for each TRP while maintaining manageable reporting complexity through automated calculation
2Reliability
If the terminal device feeds back different small-scale information and large-scale information to different TRPs, then the performance gain is improved, but the CSI reporting overhead increases
Solution Approach 1:
The patent applies the extraction principle by separating small-scale information and large-scale information in the CSI reporting process. The terminal device extracts and processes these information types differently for each TRP, feeding back tailored combinations based on channel characteristics. This extraction approach enables performance optimization by providing relevant information to each TRP while managing reporting overhead through selective feedback
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the quantity of space domain beams, frequency domain beams, and weighting coefficients based on channel conditions. The terminal device calculates optimal parameter quantities for each TRP, changing the reporting parameters adaptively to balance performance gain with reporting overhead, rather than using fixed parameters for all TRPs
Data Source
AI summary
This application provides an information transmission method, an apparatus, and a device, which are applicable to the communication field, and are used to feed back information obtained based on channel information of different network devices, so as to improve performance gains and reduce performance loss. The method includes: The terminal device obtains at least one piece of channel information including large-scale information and small-scale information; performs normalization processing on the channel information to obtain at least one piece of first information and at least one piece of second information, where the first information is small-scale information obtained through normalization processing, and the second information is large-scale information obtained through normalization processing; and then sends channel state information including R pieces of first information obtained through quantization processing or including R pieces of first information obtained through quantization processing and R pieces of second information obtained through quantization processing.