Beam Selection via Channel Component Extraction
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Solution Overview
Problem
Current beam selection methods in wireless communication systems, particularly in 5G and future 6G systems, face challenges such as increased pilot overhead and delay due to the need for extensive pilot signals, which can lead to reduced frequency efficiency and suboptimal beam selection.
Innovation Solution
The proposed solution involves an apparatus and method for selecting a beam based on channel components using a deep learning-based channel estimation scheme. This method includes receiving reference signals, estimating channel component values, selecting candidate beams based on threshold values, and determining the final beam based on signal quality thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of antennas for beam forming is increased to improve beam resolution, then beam selection accuracy is improved, but pilot overhead increases linearly
Solution Approach 1:
The patent segments the channel information into multiple channel components (e.g., angle of arrival, angle of departure, delay, Doppler shift) and processes each component separately. This allows the system to extract useful beam selection information from a reduced set of pilot signals by analyzing individual channel characteristics rather than requiring comprehensive channel knowledge across all antennas.
Solution Approach 2:
The patent extracts specific channel components (such as dominant path parameters) from the full channel state information obtained through limited pilot signals. By taking out only the essential components needed for beam selection (e.g., AoA, AoD of dominant paths), the system achieves accurate beam selection without requiring extensive pilot overhead proportional to the number of antennas.
2Measurement precision
If extensive pilot signals are transmitted to improve beam selection accuracy, then measurement precision is improved, but frequency efficiency decreases
Solution Approach 1:
The patent applies partial action by transmitting only a reduced set of pilot signals sufficient to extract the necessary channel components for beam selection, rather than transmitting exhaustive pilot signals across all antennas and frequency resources. This partial measurement approach maintains adequate beam selection accuracy while preserving frequency efficiency for data transmission.
Solution Approach 2:
The patent introduces channel component extraction as an intermediary process between pilot signal reception and beam selection. Instead of directly using extensive pilot signals for beam selection, the system uses a reduced pilot set to extract key channel components (AoA, AoD, delay, Doppler), which then serve as intermediaries to determine the optimal beam, reducing the overall pilot overhead required.
3Measurement precision
If many pilot signals are used for channel estimation, then channel estimation accuracy is improved, but signaling delay increases
Solution Approach 1:
The patent performs preliminary extraction of channel components (angle of arrival, angle of departure, delay, Doppler shift) from a reduced set of pilot signals before final beam selection. This preliminary action on limited data provides sufficient accuracy for beam selection without requiring the time-consuming process of collecting and processing extensive pilot signals, thereby reducing signaling delay while maintaining adequate estimation accuracy.
4Measurement precision
If the resolution of beam book is increased to improve beam formation, then beam accuracy is improved, but the number of required pilot signals increases
Solution Approach 1:
The patent changes the approach from using the full channel state information (which would require extensive pilots for high-resolution beam books) to using specific extracted channel components (AoA, AoD, delay, Doppler). This parameter transformation allows the system to achieve accurate beam selection through a reduced set of meaningful parameters derived from limited pilot signals, avoiding the linear increase in pilot requirements that would otherwise be needed for higher beam book resolution.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates than 4G communication systems such as LTE systems. A method performed by a receiving apparatus in a wireless communication system is provided. The method includes receiving reference signals from a transmitting apparatus, estimating respective channel component values of the reference signals, determining whether at least one reference channel component value which is equal to or greater than a first threshold is present among the channel component values of the reference signals, selecting a candidate beam based on the at least one reference channel component value in case that the at least one reference channel component value is present, determining whether a value of signal quality of the first candidate beam is equal to or greater than a second threshold, and selecting the candidate beam as a final beam in case that the value of signal quality of the candidate beam is equal to or greater than the second threshold.