Channel State Feedback Entropy Coding With a Universal Decoder
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in compressing and decompressing channel state feedback (CSF) information, leading to high overhead and increased complexity at network devices due to the need for multiple encoders and decoders, especially when dealing with varying channel models and antenna configurations.
Innovation Solution
Implementing a multi-step compression and decompression procedure using entropy coding, where user equipment (UE) compresses CSF information to a global unified low-dimensional space and applies additional entropy coding, and network devices use a universal decoder compatible with multiple encoders to decompress the information, reducing the need for individual decoders and simplifying network device operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple encoders and decoders are used to handle varying channel models and antenna configurations, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal decoder that can decode compressed CSF information from multiple different encoders corresponding to different channel models and antenna configurations. This single universal decoder replaces the need for multiple dedicated decoders, maintaining adaptability while reducing device complexity at the network device side.
2Adaptability or versatility
If multiple encoders and decoders are used to handle varying channel models and antenna configurations, then adaptability is improved, but the number of components increases
Solution Approach 1:
The universal decoder is designed to be compatible with multiple encoders for different channel models (e.g., UM-FLAT, UM-SCATTERED, ST-SCATTERED) and antenna configurations. This single decoder component performs the function of what would otherwise require multiple separate decoder components, reducing the quantity of decoders needed at the network device.
3Loss of substance
If compressed CSF information is transmitted, then signaling overhead is reduced, but measurement precision may be affected
Solution Approach 1:
The patent transforms the CSF information from its original high-dimensional form to a compressed low-dimensional representation by changing the parameter space. The compression maintains the essential channel state information by preserving the most significant parameters while reducing redundancy, thereby reducing signaling overhead while maintaining adequate measurement precision for network operations.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may encode channel state feedback (CSF) information to compress the CSF information to a first encoding output associated with a first dimensional space, and apply entropy coding to the first encoding output of the channel state feedback information. The entropy coding may transform the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The UE may transmit a CSF message comprising the second encoding output. A network device may receive the CSF message and apply entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output. The network device may decode the first decoding output to completely decompress the compressed CSF information to a second decoding output.