Block-Diagonal MIMO Codebook for Polarization Correlation
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Solution Overview
Problem
Current MIMO systems with multi-polarized antennas lack effective codebooks, leading to reduced channel capacities and data transmission rates due to high correlation between wireless channels, which existing codebooks designed for single-polarized systems cannot optimize.
Innovation Solution
A method and apparatus for generating a codebook in multi-polarized MIMO systems by assigning single-polarized precoding matrices to diagonal blocks and zero matrices to remaining blocks in a block diagonal structure, allowing for the generation of a precoding matrix that can be reconstructed according to transmission rank and rotated to adapt to changes in polarization direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multi-polarized antennas are used to reduce installation area and increase channel capacities, then antenna spacing is reduced and channel capacity increases, but correlation between wireless channels increases
Solution Approach 1:
The codebook is segmented into multiple codebooks, each corresponding to a specific polarization direction. This segmentation allows the system to handle different polarization directions independently, reducing the correlation between channels while maintaining a compact antenna installation area.
Solution Approach 2:
The invention introduces polarization direction as an additional dimension for codebook selection. By selecting codebooks based on polarization directions rather than only spatial positions, the system can distinguish between correlated channels and reduce their correlation effect.
2Ease of manufacture
If existing single-polarized codebooks are used in multi-polarized systems, then implementation is simple, but codebook performance is not optimized for multi-polarized scenarios
Solution Approach 1:
The codebook generation method is designed to be universal and can be applied to both single-polarized and multi-polarized MIMO systems. The system selects appropriate codebooks from the generated set based on the detected polarization direction, making the solution adaptable to different scenarios while optimizing performance.
Solution Approach 2:
The invention changes the parameters of the codebook by generating multiple codebooks with different polarization directions. This parameter change allows the system to optimize data transmission rates for multi-polarized scenarios while maintaining a systematic approach that is relatively simple to implement.
3Adaptability or versatility
If polarization direction of transmitting antennas is rotated, then adaptability to different channel conditions improves, but codebook must be regenerated for each rotation angle
Solution Approach 1:
The system performs preliminary detection of the polarization direction before codebook selection. By detecting the polarization direction in advance, the system can select the most appropriate pre-generated codebook without needing to regenerate codebooks for each rotation angle, thus reducing complexity while maintaining adaptability.
Solution Approach 2:
The invention introduces dynamic codebook selection based on the detected polarization direction. The system can adapt to different polarization directions by selecting from multiple pre-generated codebooks, providing flexibility and adaptability without the need to regenerate codebooks dynamically for each rotation angle.
Data Source
AI summary
A method of generating a codebook for a multiple-input multiple-output (MIMO) system is provided. The codebook generation method includes: assigning a single-polarized preceding matrix to diagonal blocks among a plurality of blocks arranged in a block diagonal format in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and assigning a zero matrix to remaining blocks excluding the diagonal blocks.