SU-MIMO Beamforming Training Feedback Mechanism
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Solution Overview
Problem
The existing 802.11ad standard requires a lengthy beamforming training (BFT) process, which needs to be shortened for more efficient communication.
Innovation Solution
A communication method where an initiator transmits a feedback frame indicating whether BFT for SU-MIMO is performed after transmission sector sweep ends, and the responder sends a second feedback frame with SNR and sector ID order based on the training results, allowing the initiator to perform BFT accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the existing 802.11ad standard beamforming training process is used, then reliable beamforming training is achieved, but the training time becomes excessively long
Solution Approach 1:
The patent segments the beamforming training process into distinct phases: transmission sector sweep (TXSS), feedback frame exchange, and SU-MIMO BFT. By dividing the training into structured stages with specific feedback mechanisms, the process becomes more efficient while maintaining reliability. The feedback frame contains specific fields (BF training type, SNR, sector ID order) that guide the segmented training steps.
Solution Approach 2:
The patent performs preliminary actions by having the initiator transmit a feedback frame before actual SU-MIMO BFT begins. This feedback frame contains predetermined information (BF training type indication, SNR values, sector ID order) that prepares both devices for the subsequent BFT process, reducing uncertainty and enabling faster execution of the actual training.
2Reliability
If comprehensive beamforming training is performed, then communication quality is improved, but the complexity of the training process increases
Solution Approach 1:
The patent implements a structured feedback mechanism where the initiator sends a feedback frame containing SNR values and sector ID order based on TXSS results. This feedback guides the responder's BFT process, ensuring comprehensive training while reducing complexity through automated decision-making based on quantifiable metrics (SNR thresholds, sector rankings).
Solution Approach 2:
The patent changes key parameters during the training process: SNR values are measured and compared against thresholds, sector IDs are ordered based on performance, and the BF training type is indicated to switch between different BFT modes. These parameter changes enable adaptive training that maintains quality while managing complexity through systematic variation of training conditions.
Data Source
AI summary
According to a communication method of the present disclosure, a responder, after the end of transmission sector sweep (TXSS), receives from an initiator a first feedback frame including a BF training type FIELD indicating whether or not to implement a beam forming training (BFT) of a single user multi-input multi-output (SU-MIMO). If the BF training type FIELD indicates that a BFT of the SU-MIMO is to be implemented, the responder transmits to the initiator a second feedback frame based on the result of the TXSS and including a signal to noise ratio (SNR) and a sector identifier (ID) order. The initiator implements the BFT of the SU-MIMO between the initiator and the responder on the basis of the SNR and the sector ID order.