Terminal Codebook Subset Selection for Adaptive Precoding
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Solution Overview
Problem
Existing communication systems are limited by the use of a single type of code-booked precoding weight, which impedes the improvement of transmission efficiency in wireless communication systems.
Innovation Solution
A terminal and base station system that selects from multiple codebook subsets for precoding weights based on communication modes, allowing adaptive control of the precoding process by measuring channel states and generating feedback information using channel-state-measurement reference signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only one type of code-booked precoding weight is used, then the system complexity is reduced, but the transmission efficiency cannot be improved
Solution Approach 1:
The codebook is segmented into multiple codebook subsets, each containing different types of precoding weights. The terminal and base station are configured with specific codebook subsets based on communication modes, allowing selection of appropriate precoding weights without managing the entire codebook. This segmentation enables efficient precoding adaptation while reducing the complexity of managing all possible precoding weights.
2Adaptability or versatility
If multiple codebook subsets are configured for different communication modes, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The terminal and base station pre-configure multiple codebook subsets corresponding to different communication modes before actual communication. When a communication mode is set, the corresponding codebook subset is already prepared and can be immediately selected. This preliminary configuration enables rapid adaptation to different communication modes without real-time computation, reducing the operational complexity despite having multiple subsets.
3Reliability
If codebook subsets are selected based on communication modes, then the reception quality is improved, but the feedback information processing complexity increases
Solution Approach 1:
Different codebook subsets are tailored to specific communication modes, providing locally optimized precoding weights for each mode. The terminal selects precoding weights from the appropriate codebook subset based on the current communication mode, ensuring optimal performance for that specific mode. This localized optimization improves reception quality while keeping the selection process straightforward by limiting choices to the relevant subset.
Data Source
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AI summary
In a communication system in which a base station is able to adaptively control a terminal, a base station, a terminal, a communication system and a communication method which are capable of efficiently supporting a precoding process are provided. The terminal that communicates with the base station selects any of a plurality of codebook subsets obtained by code-booking a precoding weight known to both the base station and the terminal, on the basis of control information which is set by the base station.