3-bit Codebook for Wireless MIMO Antenna Systems
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Solution Overview
Problem
Existing codebooks for multiple antenna systems in wireless communication do not provide good performance across different channel conditions, with some performing well only in weakly correlated channels and others in strongly correlated channels.
Innovation Solution
A 3-bit codebook is proposed, which includes a set of precoding weights with specific amplitude and phase adaptations, allowing for better performance in varying channel conditions by normalizing each precoding vector to have power one and using phase differences defined by multiples of π/3, enabling effective precoding in both uncorrelated and correlated channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing codebooks are used for multiple antenna systems, then performance is improved in specific channel conditions (either weakly correlated or strongly correlated channels), but performance deteriorates in other channel conditions
Solution Approach 1:
The patent creates a universal codebook design that functions effectively across both weakly correlated and strongly correlated channel conditions. The codebook structure with phase differences defined by multiples of π/3 and normalized precoding vectors provides multi-functional adaptability, allowing the same codebook to deliver good performance in diverse channel environments without requiring separate codebooks for different conditions.
Solution Approach 2:
The patent modifies key parameters of the precoding vectors including phase differences (defined by multiples of π/3) and amplitude normalization (power one constraint). These parameter changes enable the codebook to adapt to varying channel correlation conditions, transforming a condition-specific solution into a universally applicable one that maintains reliability across different channel scenarios.
2Reliability
If pre-coding is used to improve multiple antenna system performance, then transmission reliability is improved, but feedback bandwidth and delay requirements increase
Solution Approach 1:
The patent applies local quality by designing codebooks with specific localized properties - phase differences defined by multiples of π/3 and normalized precoding vectors. These localized structural characteristics enable the codebook to achieve good performance in both correlated and uncorrelated channels while maintaining a compact size that reduces feedback overhead, thus improving reliability without proportionally increasing feedback bandwidth requirements.
3Reliability
If channel state information is obtained through feedback, then pre-coding performance is improved, but feedback delay and estimation errors reduce the quality of channel state information
Solution Approach 1:
The patent prepares for potential channel state information inaccuracies by designing a codebook with robust structural properties beforehand. The phase differences defined by multiples of π/3 and the normalized precoding vectors create a cushioning effect that maintains performance even when channel state information suffers from feedback delay or estimation errors, thus protecting pre-coding performance against measurement precision limitations.
Data Source
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AI summary
The invention is related to a data processing method comprising: selecting, by a receiver, from at least one codebook at least one precoding weight or vector, wherein the at least one codebook comprises antenna selection weights, equal power weights having different transmission phases and orthogonal beam weight pairs; and informing the selected at least one precoding weight or vector to a transmitter for being used in transmission.