Compressed Beamforming Feedback for EHT WLAN Channel Estimation
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently reducing feedback information overhead, particularly in advanced network environments like EHT networks, which support complex MIMO schemes and multi-antenna operations, leading to increased signaling overhead and potential performance degradation.
Innovation Solution
Implementing techniques for reducing feedback information by determining a set of channel characteristics and using feedback reduction parameters to compress beamforming feedback, including averaging bandwidth and reducing the numerical quantity of antennas or spatial streams, allowing for efficient channel estimation and reduced signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beamforming feedback is transmitted using all antennas and spatial streams, then channel state information accuracy is improved, but feedback signaling overhead increases
Solution Approach 1:
The patent extracts only the essential channel characteristics from the complete channel state information. Instead of feeding back all channel parameters for every antenna and spatial stream, the system identifies and transmits only the critical characteristics needed for effective beamforming, thereby reducing feedback overhead while preserving measurement precision
Solution Approach 2:
The patent changes the parameter representation by transforming detailed channel state information into a reduced set of channel characteristics. This parameter transformation allows the system to convey essential channel information using fewer bits, effectively reducing feedback signaling overhead while maintaining the accuracy needed for beamforming operations
2Quantity of substance
If feedback reduction parameters are used to compress beamforming feedback, then feedback signaling overhead is reduced, but channel estimation effectiveness may deteriorate
Solution Approach 1:
The patent applies parameter changes by transforming channel state information into a compressed representation that preserves estimation effectiveness. The feedback reduction parameters are designed to maintain the essential characteristics needed for accurate channel estimation while reducing the amount of data that needs to be transmitted
Solution Approach 2:
The patent creates a compressed copy of the channel state information that captures the essential features needed for beamforming. Instead of transmitting the complete channel matrix, the system transmits a simplified representation that serves as an effective copy for channel estimation purposes, reducing overhead while maintaining effectiveness
Data Source
AI summary
This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for techniques for reducing feedback information in an extremely high throughput (EHT) wireless local area network (WLAN). A receiving device (beamformee), such as a station (STA), may receive a sounding signal from a transmitting device (beamformer), such as an access point (AP), and transmit channel feedback. The receiving device may transmit the channel feedback as part of a reduced compressed beamforming feedback (CBF) operation that includes determining a first set of channel characteristics. The receiving device may select a subset of the first set of channel characteristics and determine a set of differential characteristics based on the subset. The transmitting device may then transmit the sets of characteristics as reduced CBF to the transmitting device. The transmitting device may determine a channel estimation for beamformed signaling based on the reduced CBF.