Beam Shaping via Covariance Matrix Intermediary
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Solution Overview
Problem
Existing beam-forming systems require direct feedback of channel matrices from receiving devices to the transmission source, which is inefficient, especially in scenarios with interference, as they struggle to accurately shape the beam without complete channel characteristics of interfering sources.
Innovation Solution
The system estimates an equivalent channel matrix at the transmission source using a modified predetermined sounding signal received from the receiving device, which computes a covariance matrix representing interference and noise, allowing the transmission source to modify the beam without direct feedback, effectively converting interference into white noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct feedback of channel matrices is used, then beam shaping accuracy is improved, but system efficiency deteriorates
Solution Approach 1:
The patent introduces an intermediary mechanism where the receiving device computes a covariance matrix representing interference and noise characteristics, then modifies a predetermined sounding signal based on this covariance matrix. This modified sounding signal is transmitted back to the transmission source, which estimates the equivalent channel matrix without receiving direct channel matrix feedback. The intermediary covariance matrix enables indirect channel characterization, resolving the contradiction by maintaining beam shaping accuracy while eliminating the need for direct channel matrix feedback transmission.
2Measurement precision
If complete channel characteristics of interfering sources are obtained, then beam shaping accuracy is improved, but feedback complexity increases
Solution Approach 1:
The patent extracts only the essential interference and noise characteristics from the complete channel characteristics by computing a covariance matrix. This covariance matrix captures the relevant statistical properties of interference without requiring full channel matrix feedback. By taking out only the necessary interference statistics rather than complete channel characteristics, the system maintains beam shaping accuracy while significantly reducing feedback complexity.
3Reliability
If interference is converted into white noise, then signal-to-interference-and-noise-ratio is improved, but processing complexity increases
Solution Approach 1:
The patent applies parameter changes by modifying the predetermined sounding signal using the covariance matrix of interference and noise. The modification transforms the signal characteristics such that when the transmission source estimates the equivalent channel matrix, the interference is effectively converted into white noise. This parameter transformation approach improves SINR while the processing complexity is managed through efficient matrix operations on the covariance matrix rather than complex interference cancellation algorithms.
Data Source
AI summary
Methods and apparatus are provided for directing a beam towards a receiving device in the presence of interference. A beam transmitted by a transmission source is received at a receiving device. The received beam is affected by an interference signal from an interfering source. The receiving device computes a covariance matrix that represents a channel estimate associated with the interfering source. The receiving device modifies a predetermined sounding signal based on the covariance matrix for transmission to the transmission source. The receiving device causes the transmission source to estimate an equivalent channel matrix based on the predetermined sounding signal and the modified predetermined sounding signal. The equivalent channel matrix represents the channel estimate associated with the interfering source and a channel estimate associated with the transmission source.


