Adaptive SSW Frame Structure for Beamforming Training Efficiency
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Solution Overview
Problem
Current beamforming training methods in high-frequency wireless communication systems, such as IEEE 802.11ad and the developing IEEE 802.11ay, face inefficiencies in antenna beam alignment due to limited opportunities for stations to participate in beamforming, particularly at high frequencies like 60 GHz, where signal propagation is dominated by ray-like propagation and throughput requirements exceed 20 Gbps.
Innovation Solution
The method introduces sector sweep (SSW) frames of varying sizes, allowing stations to transmit different types of SSW frames during association beamforming training (A-BFT), with a processor-controlled transceiver receiving beacon frames to determine the type of SSW frame and number of frames per slot, thereby increasing participation opportunities and reducing training time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single channel and fixed SSW frame structure is used, then device complexity is reduced, but beamforming training time increases and productivity decreases
Solution Approach 1:
The patent applies dynamics by making the SSW frame structure adaptable rather than fixed. The frame format is dynamically selected based on the number of SSW slots configured in the A-BFT period, allowing the system to optimize between compact representation (when slots are few) and detailed information (when slots are many), thereby reducing training time without excessive complexity
Solution Approach 2:
The patent changes the parameter of SSW frame format based on the A-BFT configuration. When the number of SSW slots is small, a compact format is used; when slots are large, an expanded format with additional information fields is used. This parameter adaptation allows the system to achieve faster training speeds by selecting appropriate frame structures for different deployment scenarios
2Productivity
If more SSW slots are provided in A-BFT, then stations have more opportunities to participate in beamforming, but the time required for beamforming training increases
Solution Approach 1:
The patent implements partial action by allowing stations to selectively participate in beamforming training based on their needs. The system configures an appropriate number of SSW slots within the A-BFT period, providing sufficient opportunities for station participation without allocating excessive slots that would unnecessarily extend training time. Stations can choose to participate based on the configured slot availability
Solution Approach 2:
The patent uses periodic action by organizing beamforming training into structured A-BFT periods with multiple SSW slots. This periodic structure allows stations to have regular opportunities to participate in beamforming training, balancing the need for multiple participation chances with the constraint of limited time resources through systematic time allocation
3Measurement precision
If SSW frame size is increased to include more information, then measurement precision improves, but transmission time increases and productivity decreases
Solution Approach 1:
The patent applies dynamics by making the SSW frame size adaptive rather than fixed. The frame format is dynamically selected based on the number of SSW slots: when slots are few, compact frames are used; when slots are many, expanded frames with additional precision information are used. This dynamic adaptation allows the system to achieve necessary measurement precision without consistently using large frames that would slow down training
Solution Approach 2:
The patent implements local quality by providing different levels of information detail in SSW frames based on local conditions. When the network has many SSW slots, more detailed beam alignment information is included in frames. When slots are limited, frames contain only essential information. This local adaptation of information quality ensures sufficient precision where resources allow while maintaining speed where resources are constrained
Data Source
AI summary
A method for beamforming training and a device using the same are provided. A station (STA) receives a beacon frame from an access point (AP) during a beacon transmission interval (BTI). The beacon frame includes information on a sector sweep (SSW) frame type used in at least one of a plurality of SSW slots. During association beamforming training (A-BFT), the STA transmits the SSW frame according to the SSW frame type from an SSW slot, among a plurality of SSW slots, having succeeded in a random backoff.