Precoding Matrix Alignment for CoMP Beamforming
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Solution Overview
Problem
Existing antenna systems face high computational complexity and inefficiency in selecting precoding matrices for multiple transmission sites, leading to suboptimal performance in both coordinated multi-point (CoMP) and single-site MIMO transmission schemes, especially when switching between modes.
Innovation Solution
The method involves selecting the best transmission site based on channel quality, determining a precoding matrix for that site, and then aligning subsequent matrices with its spatial direction, reducing computational resources and feedback overhead by rotating additional effective channels to match the initial site's spatial direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If precoding matrices are selected for multiple transmission sites using existing methods, then beamforming performance is achieved, but computational complexity increases significantly
Solution Approach 1:
The patent segments the precoding matrix selection process into two parts: (1) selecting one precoding matrix for the primary transmission site based on channel quality, and (2) determining precoding matrices for other transmission sites by rotating the primary matrix according to spatial directions. This segmentation reduces the overall computational complexity from considering all possible matrices for all sites to selecting one primary matrix and applying transformations.
Solution Approach 2:
The patent performs preliminary action by first selecting the optimal precoding matrix for the primary transmission site based on channel quality indicators. This preliminary selection establishes a reference that simplifies subsequent matrix determinations for other sites, avoiding the need to independently optimize each site's precoding matrix from scratch.
2Reliability
If independent precoding matrices are determined for each transmission site, then transmission performance is optimized, but feedback overhead increases
Solution Approach 1:
The patent uses copying by creating precoding matrices for other transmission sites through spatial rotation of the primary precoding matrix. Instead of independently determining and feeding back separate matrices for each site, the system copies the primary matrix structure and applies rotational transformations based on spatial directions, significantly reducing feedback overhead while maintaining transmission performance.
3Measurement precision
If channel quality is considered for site selection, then beamforming precision is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by focusing detailed channel quality analysis on the primary transmission site selection, while using simplified spatial rotation methods for other sites. This approach concentrates computational resources where they are most needed (primary site selection based on channel quality) while using less complex methods for secondary sites, thereby improving beamforming precision without proportionally increasing overall system complexity.
Data Source
AI summary
According to one embodiment, a method includes selecting a first transmission site from a plurality of transmission sites based on the quality of a first channel between the first transmission site and an endpoint. The method further includes determining a first precoding matrix corresponding to the first transmission site. The first precoding matrix may be applied to data transmitted by the first transmission site to the endpoint. The method further includes determining a second precoding matrix corresponding to a second transmission site of the plurality of transmission sites. The second precoding matrix may be determined based on at least a first spatial direction that is calculated based on at least the first channel.