MU-MIMO Codebook Vector Selection for Multi-Sector Coverage
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Solution Overview
Problem
Current Multiple-User Multiple-Input Multiple-Output (MU-MIMO) codebooks are not optimized for scenarios with multiple sectors, leading to increased codebook size and unnecessary feedback bits, which affects coverage and efficiency in wireless communication systems.
Innovation Solution
A method to design and optimize MU-MIMO codebooks by analyzing beam patterns, eliminating unnecessary vectors based on sector coverage, and optimizing interferences between remaining vectors to reduce codebook size while maintaining effective coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a conventional codebook is used in MU-MIMO system with multiple sectors, then the codebook size increases and feedback bits increase, but the coverage and efficiency are degraded
Solution Approach 1:
The patent extracts and removes vectors from the conventional codebook that are redundant or unnecessary for multi-sector MU-MIMO operations. By analyzing beam patterns and identifying vectors that do not contribute effectively to sector coverage, the patent eliminates these vectors to reduce codebook size while preserving essential coverage capabilities.
Solution Approach 2:
The patent changes the composition and structure of the codebook by selecting specific vectors based on beam pattern analysis. This involves modifying the parameters of the codebook (which vectors are included) to optimize it for multi-sector scenarios, thereby improving system efficiency without sacrificing coverage.
2Area of stationary object
If more vectors are included in the codebook to improve coverage, then the codebook size increases, but the number of feedback bits increases and system efficiency decreases
Solution Approach 1:
The patent removes redundant vectors from the codebook that do not contribute to effective sector coverage. By extracting only the necessary vectors and eliminating others, the patent reduces the feedback bits required while maintaining adequate coverage area through optimized vector selection.
Solution Approach 2:
The patent applies local quality by optimizing the codebook specifically for multi-sector MU-MIMO scenarios rather than using a generic codebook. The vector selection is tailored to the specific coverage requirements of each sector, ensuring efficient coverage with minimal feedback bits.
3Area of stationary object
If a larger codebook is used to maintain coverage in multi-sector system, then the codebook size increases, but unnecessary vectors increase interference and reduce performance
Solution Approach 1:
The patent extracts and removes vectors that generate harmful interference in multi-sector environments. By identifying vectors with problematic beam patterns that cause interference between sectors, the patent eliminates these vectors to reduce interference while preserving necessary coverage through carefully selected remaining vectors.
Solution Approach 2:
The patent converts the harmful effect of vector interference into a benefit by using beam pattern analysis to identify which vectors cause interference and systematically removing them. This transforms the potential harm of having too many vectors into a benefit of having an optimized, interference-free codebook.
Data Source
AI summary
Disclosed are a Multiple User Multiple Input Multiple Output (MU-MIMO) codebook design method, and a communication device using the codebook. A MU-MIMO codebook design method includes analyzing beam patterns of candidate vectors included in a predetermined candidate codebook, and eliminating at least one of the candidate vectors based on the beam patterns of the candidate vectors to generate the MU-MIMO codebook for a MU-MIMO system being comprised of the remaining vectors.