Precoding Matrix Codebook Using Pure Imaginary Exponentiation
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Solution Overview
Problem
Current uplink communication systems in 4G and 5G wireless networks have limited capacity, particularly in codebook-based transmission modes, which restricts the precision of precoding matrices and affects the overall uplink capacity, especially in scenarios requiring high-definition video backhaul.
Innovation Solution
A method and apparatus for determining a precoding matrix using a codebook set that includes matrices with elements as exponentiations of pure imaginary numbers, allowing for more complex numbers and higher precision, thereby improving uplink communication capacity. The terminal device receives precoding indication information and determines the appropriate precoding matrix from a set that includes matrices with elements based on natural constants and different pure imaginary exponents, enhancing codebook precision and capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a traditional codebook set with limited precoding matrices is used, then the device complexity is reduced and ease of operation is improved, but the uplink communication capacity and codebook precision are limited
Solution Approach 1:
The patent changes the parameter representation in precoding matrices from traditional real-valued or simple complex elements to elements based on exponentiation with pure imaginary numbers (e.g., e^(jθ) where θ takes specific discrete values). This parameter transformation enables the codebook to represent a much larger number of distinct precoding matrices while maintaining manageable complexity through structured parameter selection.
Solution Approach 2:
The patent segments the codebook set into multiple subsets or groups, where each subset contains precoding matrices with specific parameter characteristics. This segmentation allows the system to manage complexity by organizing the large codebook into manageable sections while still providing access to the full range of precoding options when needed for high-capacity scenarios.
2Measurement precision
If a codebook set with more precoding matrices is used, then codebook precision and uplink capacity are improved, but the signaling overhead and processing complexity increase
Solution Approach 1:
By transforming the parameter representation to use exponentiation with pure imaginary numbers, the patent achieves higher codebook precision through a more compact and structured parameter space. This parameter transformation allows for finer granularity in precoding matrix selection while the structured nature of the parameters helps manage the associated signaling overhead.
3Productivity
If pure imaginary number exponentiation is used for codebook elements, then codebook precision and capacity are improved, but computational complexity increases
Solution Approach 1:
The patent transforms computational operations by representing precoding matrix elements in the exponential form with pure imaginary numbers. This parameter change converts complex multiplications and additions into more manageable exponential operations, particularly when dealing with phase rotations, which are fundamental to precoding operations.
Data Source
AI summary
This application discloses a precoding matrix determining method and an apparatus. The method includes: A terminal device receives first precoding indication information from a network device; and the terminal device determines, from a first codebook set, a first precoding matrix indicated by the first precoding indication information, where the first codebook set includes the first precoding matrix, a second precoding matrix, and a third precoding matrix, an element at a first position in the first precoding matrix is equal to a value of exponentiation with a first value as an exponent and a natural constant as a base.