Subband Beamforming Weight Control for MIMO Transmission Efficiency
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Solution Overview
Problem
In radio communication systems, frequency characteristics vary across the transmission band, making it challenging to select an appropriate beamforming weight for the entire band, leading to suboptimal performance.
Innovation Solution
A radio base station that divides the transmission band into subbands and determines a beamforming weight for each subband, allowing for the selection of optimal weights based on frequency characteristics, thereby improving transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the same beamforming weight is selected for the entire transmission band, then the device complexity is reduced, but the transmission efficiency deteriorates due to frequency selectivity variations
Solution Approach 1:
The transmission band is divided into multiple subbands, and separate beamforming weights are determined for each subband. This segmentation allows the system to adapt to frequency selectivity variations across different frequency ranges, improving transmission efficiency while maintaining manageable complexity through structured weight determination
Solution Approach 2:
Different beamforming weights are applied to different subbands based on their specific frequency characteristics. This local optimization ensures that each subband receives the most appropriate beamforming configuration for its channel conditions, maximizing overall transmission efficiency
2Productivity
If beamforming weights are determined for each subband, then the transmission efficiency is improved, but the device complexity increases
Solution Approach 1:
Beamforming weights for each subband are determined in advance based on channel state information before actual data transmission. This preliminary determination allows the system to prepare optimal weights for each subband, improving transmission efficiency while the weights remain fixed during transmission to avoid real-time computation complexity
Solution Approach 2:
The beamforming weights are adapted by changing parameters (such as phase and amplitude) according to the frequency characteristics of each subband. This parameter adjustment allows the system to optimize transmission for each subband's specific conditions without requiring complete redesign of the beamforming structure
Data Source
AI summary
In a radio communication system that performs beamforming in MIMO transmission between a radio base station and at least one user terminal, radio base station (10) includes: weight control section (104) that determines a beamforming weight used for the beamforming, for each of subbands formed by dividing a transmission band; and communication section (109) that transmits a signal to which the beamforming is applied using the beamforming weight.