Precoding Codebook Generation for LTE-Advanced Eight Antenna Ports
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Solution Overview
Problem
Designing a precoding codebook for multiple-antenna transmission systems, particularly for LTE-Advanced with eight antenna ports, is challenging due to the need for efficient memory storage and computational complexity, while maintaining desirable properties like nested, constant modulus, and constrained alphabet properties.
Innovation Solution
Generating a codebook with precoding matrices of smaller dimensions by selecting and combining sub-matrices from existing codebooks, ensuring orthogonal columns and inheriting desired properties, thus reducing the need for complex matrix products and simplifying codebook design for various transmission scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a codebook for eight antenna ports is designed using existing methods, then the codebook can support LTE-Advanced systems, but the memory storage requirements and computational complexity increase significantly
Solution Approach 1:
The patent segments the eight-antenna codebook into multiple four-antenna codebooks. Each eight-antenna precoding matrix is constructed by combining sub-matrices from smaller codebooks, thereby reducing the memory storage requirements and computational complexity while maintaining support for LTE-Advanced systems.
Solution Approach 2:
The patent implements a nested structure where smaller codebooks (four-antenna) are embedded within the larger codebook (eight-antenna). The eight-antenna codebook is built by nesting sub-matrices from four-antenna codebooks, allowing efficient storage and computation while supporting higher antenna configurations.
2Reliability
If a codebook with nested, constant modulus, and constrained alphabet properties is designed, then the codebook performance is improved, but the design complexity and computational effort increase
Solution Approach 1:
The patent divides the complex codebook design into smaller, manageable segments. By designing separate four-antenna codebooks with desired properties and then combining them, the design complexity and computational effort are reduced while maintaining the nested, constant modulus, and constrained alphabet properties in the final eight-antenna codebook.
Solution Approach 2:
The patent merges multiple smaller codebooks to form a larger codebook. By combining sub-matrices from four-antenna codebooks that already possess nested, constant modulus, and constrained alphabet properties, the final codebook inherits these desirable properties without requiring complex de novo design.
3Adaptability or versatility
If full codebooks for all transmission ranks are stored in memory, then all transmission scenarios are supported, but the memory requirements increase
Solution Approach 1:
The patent segments the full codebook into smaller rank-specific codebooks. Instead of storing all precoding matrices for all ranks in a single large codebook, the system stores separate smaller codebooks for different transmission ranks, thereby reducing overall memory requirements while maintaining support for all transmission scenarios.
Solution Approach 2:
The patent creates universal building blocks (sub-matrices from smaller codebooks) that can be combined to form precoding matrices for different transmission ranks. These modular components serve multiple functions and can be reused across different ranks, reducing the total memory storage needed.
Data Source
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AI summary
The invention relates to a technical field of multiple-antenna transmission in a wireless communication system. Communication of feedback representation of and generating a codebook suitable for precoding of multiple-antenna transmission is disclosed. An example matrix representation of precoding of a first number of antenna ports comprises precoding sub-matrices of less antenna ports.