Wireless CSI Feedback Bit Allocation for Adaptive Decoding
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Solution Overview
Problem
The complexity of Channel State Information (CSI) affects the performance of encoding and decoding models, leading to decreased recovery accuracy or resource waste due to inconsistent intersubband correlations and varying information amounts in CSI feedback.
Innovation Solution
A method where a first device dynamically adjusts the number of feedback bits for CSI based on its complexity, indicating this to a second device to allow for an appropriate decoding model selection, thereby optimizing resource use and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the same number of feedback bits is used for all CSIs, then the implementation is simple, but the recovery accuracy decreases for CSIs with lower intersubband correlations
Solution Approach 1:
The patent implements dynamic feedback bit allocation where the number of feedback bits is adjusted according to the complexity characteristics of each CSI. The system determines CSI complexity metrics and dynamically selects the appropriate number of feedback bits, transforming the static feedback mechanism into a dynamic one that adapts to varying CSI conditions, thereby improving recovery accuracy without excessive complexity
Solution Approach 2:
The patent changes the parameter of feedback bit quantity based on CSI complexity characteristics. By introducing complexity metrics as a new parameter and using it to determine the feedback bit allocation, the system optimizes the balance between recovery accuracy and resource efficiency, allowing different feedback bit quantities for different CSI types
2Measurement precision
If more feedback bits are allocated to CSIs with lower intersubband correlations, then the recovery accuracy improves, but the resource consumption increases
Solution Approach 1:
The patent uses complexity metrics as a parameter to determine the appropriate number of feedback bits for each CSI. By calculating complexity metrics and using them to select feedback bit quantities, the system ensures that more bits are allocated only when necessary (for complex CSIs with lower intersubband correlations), avoiding unnecessary resource consumption while maintaining recovery accuracy
Solution Approach 2:
The patent applies partial action by allocating feedback bits selectively based on CSI complexity. Instead of uniformly allocating maximum bits to all CSIs, the system provides the necessary amount of feedback bits only for CSIs that require them, avoiding excessive resource allocation for simple CSIs with high intersubband correlations
Data Source
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AI summary
Provided are a wireless communication method and a communication device. The method includes: sending first information by a first device to a second device, the first information being used for indicating the number of feedback bits of first CSI. In embodiments of the present application, according to the first information, the first device can indicate the number of feedback bits of the first CSI to the second device, so that the second device can select an appropriate decoding model on the basis of the number of feedback bits. In this way, the first device can select an appropriate number of feedback bits for different CSIs, thereby avoiding the waste of CSI feedback resources while ensuring the CSI recovery accuracy.