Adaptive Beam Weighting Using Partial Covariance Measurements
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Solution Overview
Problem
Existing wireless communication systems face challenges in determining adaptive beam weights efficiently, leading to increased processing time and outdated beam determinations due to changing channel conditions, particularly in millimeter wave deployments.
Innovation Solution
A communication device selects a subset of measurement beams to generate a channel covariance matrix, reducing the number of measurements needed, and approximates remaining elements based on these measurements to expedite the process, allowing for autonomous or signaling-based determination of beam weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measurement beams are used to generate the channel covariance matrix, then the accuracy of beam determination is improved, but the processing time increases
Solution Approach 1:
The patent segments the full set of measurement beams into a subset of selected measurement beams for generating the channel covariance matrix. By selecting only necessary beams rather than processing all beams, the system reduces processing time while maintaining adequate accuracy for beam determination.
Solution Approach 2:
The patent applies partial action by using a subset of measurement beams rather than the complete set. This partial processing approach reduces the computational burden and processing time while still obtaining sufficient information for accurate beam determination through approximation techniques.
2Loss of time
If a subset of measurement beams is used to generate the channel covariance matrix, then the processing time is reduced, but the accuracy of beam determination deteriorates
Solution Approach 1:
The patent introduces approximation techniques as intermediary methods to bridge the gap between using a reduced subset of measurement beams and maintaining accurate beam determination. These approximation techniques process the limited measurement data to infer the channel covariance matrix elements that would otherwise require complete beam measurements.
Solution Approach 2:
The patent changes the parameter of measurement beam quantity from the full set to a optimized subset. By adjusting this parameter and combining it with approximation algorithms, the system achieves a balance between processing speed and determination accuracy, reducing processing time while maintaining sufficient beam determination precision.
Data Source
AI summary
Techniques for wireless communication are described. A device may generate a channel covariance matrix using a quantity of beams that is less than a quantity of elements of the channel covariance matrix. The device may utilize a scheme for selecting a subset of beams for generating the channel covariance matrix. The device may generate one or more diagonal elements of the channel covariance matrix based on measurements of a first number of beams of the subset. The device may generate other elements of the channel covariance matrix based on measurements of a second number of beams of the subset. The device may also approximate one or more remaining elements of the channel covariance matrix based on the generated elements. The device may determine a set of beams for selecting the subset of beams, and may communicate beamformed signaling via a beam that is based on the generated channel covariance matrix.