Multi-Domain Channel Codebook Feedback for Near-Field Adaptation
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Solution Overview
Problem
Existing channel modeling in near-field communication scenarios fails to adequately consider the impact of distance on channel characteristics, leading to suboptimal performance in different distance scenarios due to the use of DFT codebooks designed primarily for far-field conditions.
Innovation Solution
A channel parameter receiving and feedback method that determines codeword parameters using a multi-domain codebook approach, incorporating both angle and distance factors, allowing for flexible adaptation to current distance scenarios through an indication parameter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If DFT codebooks designed for far-field conditions are used in near-field communication scenarios, then the codebook structure remains simple and far-field compatibility is maintained, but the channel modeling accuracy deteriorates and transmission quality decreases due to ignoring distance factors
Solution Approach 1:
The codebook is segmented into multiple codebook blocks, each corresponding to different distance scenarios. The indication parameter divides the codebook into near-field and far-field segments, allowing the system to select appropriate segments based on communication distance, thereby achieving near-field adaptability without requiring a completely new codebook structure
Solution Approach 2:
The codebook structure is made dynamic through the indication parameter, which enables real-time switching between near-field and far-field codebook blocks. This dynamic adaptation allows the system to adjust the codebook configuration according to the actual communication distance, improving near-field performance while maintaining far-field compatibility
2Measurement precision
If multi-domain codebook blocks with distance factors are introduced to improve near-field channel modeling, then the channel characterization accuracy improves, but the feedback overhead increases due to additional parameters
Solution Approach 1:
The distance-related information is extracted and represented by a compact indication parameter that points to specific codebook blocks. Instead of feeding back complete channel state information including distance, the system extracts only the essential distance indicator, thereby achieving accurate near-field channel characterization while minimizing feedback overhead
Solution Approach 2:
The system uses predefined codebook blocks that are designed to represent different distance scenarios. Rather than transmitting raw distance measurements, the system copies the appropriate pre-designed codebook block structure that already encodes distance characteristics, reducing feedback requirements while maintaining characterization accuracy
3Productivity
If a single unified codebook is used for both near-field and far-field scenarios, then the system complexity remains low and implementation is simple, but the transmission quality deteriorates in near-field scenarios due to lack of distance-specific optimization
Solution Approach 1:
The codebook structure achieves multi-functionality by incorporating both near-field and far-field codebook blocks within a single unified framework. The indication parameter enables the system to universally handle both near-field and far-field scenarios using the same overall structure, improving transmission quality across different distance scenarios without requiring separate independent codebook systems
Data Source
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AI summary
The present disclosure provides a channel parameter receiving method, a channel parameter feedback method, a device, and a medium. The receiving method includes: receiving an indication parameter; determining a value of a second parameter according to the indication parameter; and determining a target codeword according to the value of the second parameter, wherein a codeword block of the target codeword may be represented by αiGi, i ∈ {1, 2, 3, 4}, at least one Gi is determined according to a function f(t1, t2), t1 represents a first parameter, and t2 represents the second parameter.