Low Complexity Beamforming via DFT Subcarrier Grouping
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Solution Overview
Problem
Beamforming in OFDM transmission systems faces high computational complexity and large memory requirements for determining signal adjustments across multiple antennas, which increases costs and inefficiencies.
Innovation Solution
A wireless communication apparatus that generates beamforming weights using time domain response information and discrete Fourier transforms, focusing on a subset of subcarrier frequencies within a hop region, reducing the complexity and memory needed for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming weights are determined for all subcarrier frequencies in OFDM transmission systems, then signal-to-noise ratio improvement is achieved, but computational complexity and memory requirements increase significantly
Solution Approach 1:
The patent divides the frequency band into multiple groups of subcarriers and performs beamforming weight determination separately for each group rather than for all subcarriers simultaneously. This segmentation reduces the computational burden and memory requirements while maintaining the essential beamforming functionality for signal-to-noise ratio improvement.
Solution Approach 2:
The patent applies beamforming weight determination to only a subset of subcarrier frequency groups rather than all subcarriers. By selecting representative groups within the frequency band, the system achieves sufficient signal-to-noise ratio improvement without the full computational cost of processing every subcarrier, embodying the partial action principle.
2Measurement precision
If beamforming weights are determined for all subcarrier frequencies, then signal adjustments are accurate, but memory requirements for storing and processing weights become large and expensive
Solution Approach 1:
The patent segments the frequency band into multiple groups and determines beamforming weights for each group separately. This reduces the total number of weights that must be stored in memory at any given time, directly addressing the memory requirement issue while preserving sufficient accuracy through targeted group selection.
Solution Approach 2:
The patent extracts and processes only the necessary subset of subcarrier groups that provide sufficient beamforming performance. By taking out only the essential frequency groups rather than processing the entire frequency band, the system reduces memory requirements for weight storage and processing while maintaining acceptable signal adjustment accuracy.
Data Source
AI summary
Methods and apparatuses are disclosed that utilize the discrete Fourier transform of time domain responses to generate beamforming weights for wireless communication. In addition, in some embodiments frequency subcarriers constituting less than all of the frequency subcarriers allocated for communication to a user may utilized for generating the beamforming weights.