Codeword Layer Mapping for Balanced Antenna Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-antenna transmission schemes, particularly closed-loop MIMO, face challenges in optimizing codeword to layer mapping and antenna correlation, leading to suboptimal performance due to unbalanced power allocation and layer-specific issues in channel conditions.
Innovation Solution
The proposed method involves mapping multiple codewords to layers using a precoding matrix that ensures all codewords have the same antenna ports and correlation properties, with optimized power allocation and codebook design based on codeword-specific optimization, utilizing a base matrix U and power allocation matrix Λ to achieve balanced antenna allocation and improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional layer-specific precoding is used, then the system complexity is reduced, but the antenna correlation property and power allocation become unbalanced leading to suboptimal performance
Solution Approach 1:
The patent changes the fundamental parameters of precoding from layer-specific to codeword-specific optimization. By optimizing the precoding matrix W based on codeword characteristics rather than individual layer properties, the system achieves balanced antenna correlation and power allocation across all codewords, thereby improving overall transmission performance without excessive complexity increase.
Solution Approach 2:
The patent segments the precoding optimization process by treating each codeword independently with its own optimized precoding matrix. This segmentation allows for codeword-specific power allocation and antenna port assignment, ensuring that each codeword achieves optimal performance while maintaining system-wide balance through the structured codebook design.
2Reliability
If codeword-specific optimization is implemented, then power allocation and antenna correlation are balanced, but the codebook design complexity increases
Solution Approach 1:
The patent optimizes codebook parameters specifically for each codeword rather than using a unified layer-based approach. By adjusting the precoding matrix parameters W based on codeword-specific channel conditions and requirements, the system achieves balanced power allocation and antenna correlation properties across all transmitted codewords.
Solution Approach 2:
The patent performs preliminary optimization of the codebook structure during system design phase. The codebook is pre-configured with codeword-specific precoding matrices that are optimized in advance based on statistical channel properties and system requirements, thereby enabling balanced power allocation without requiring complex real-time computations during transmission.
3Reliability
If all codewords use the same antenna ports, then antenna correlation property is improved, but the flexibility in power allocation is reduced
Solution Approach 1:
The patent employs parameter changes within a unified antenna port framework. While all codewords use the same set of antenna ports to ensure consistent correlation properties, the precoding matrices W are optimized to allocate power flexibly across these ports based on codeword-specific requirements. This is achieved by adjusting the magnitude and phase parameters of the precoding matrix elements rather than changing the antenna port assignment itself.
Data Source
AI summary
A transmitter includes a layer mapper and a precoder. The layer mapper is configured to map 2 codewords to 3 layers to output a mapped set of 3 symbols. A first codeword is mapped into one layer, and a second codeword is mapped into two layers. The precoder is configured to precode the mapped set of 3 symbols using a precoding matrix that distributes the mapped set of 3 symbols across 4 antenna ports so that each codeword is distributed across 2 antenna ports.