Base Station Beamforming Optimization via Eigenvalue Decomposition
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Solution Overview
Problem
Implementing beamforming technology in MIMO systems, particularly in large-scale antenna systems, is challenging due to high computational complexity when determining and weighting multiple beams, which affects performance and efficiency.
Innovation Solution
Selecting a subset of beams based on uplink receive power and determining a beamforming weighted value using eigenvalue decomposition on a reduced channel covariance matrix, thereby reducing complexity and improving beamforming efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming technology is implemented in large-scale antenna systems, then data transmission performance is improved, but computational complexity increases significantly
Solution Approach 1:
The patent segments the beamforming process into two distinct phases: an offline training phase where channel characteristics are pre-analyzed and stored, and an online transmission phase where pre-computed beamforming vectors are applied. This segmentation separates the computationally intensive operations from the real-time transmission process, thereby reducing online computational complexity while maintaining transmission performance
Solution Approach 2:
The patent performs channel training and beamforming vector computation in advance during an offline phase, storing the results for later use. By preparing beamforming vectors before actual data transmission, the system avoids performing complex calculations during real-time communication, thus reducing online computational burden while preserving the benefits of beamforming
Data Source
AI summary
Embodiments of the present disclosure provide a base station and a beam forming method. The method includes: determining, according to uplink sounding signals separately received using m beams, an uplink receive power of each beam in the m beams, where m is a positive integer greater than 2; selecting n beams from the m beams according to the uplink receive power of each beam in the m beams, where 2≤n<m, and n is a positive integer; determining a beamforming BF weighted value according to uplink sounding signals separately received using the n beams; and weighting the n beams using the beamforming (BF) weighted value, so as to form optimized beams used for data transmission. According to some embodiments of the present invention, a BF technology can be effectively implemented in a multiple-input multiple-output (MIMO) system.