Beamforming Training Efficiency in WLAN A-BFT Periods
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Solution Overview
Problem
Current wireless local area network (WLAN) systems face inefficiencies in beamforming training due to the inability to simultaneously train user equipment of multiple access types within the same association beamforming training (A-BFT) period.
Innovation Solution
The proposed solution involves a network device sending a broadcast frame with specific duration information for different user equipment types, allowing them to randomly select timeslots within their respective time ranges for beamforming training, thereby enabling simultaneous training of multiple access types in the same A-BFT period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a network device implements beamforming training of user equipment of one type in the same A-BFT, then the training process is simple, but the beamforming training efficiency is low
Solution Approach 1:
The A-BFT period is segmented into multiple time ranges, where each time range is dedicated to training a specific type of user equipment. The network device divides the training period into distinct segments (first time range for first user equipment, second time range for second user equipment), allowing simultaneous training of different equipment types without interference while maintaining manageable complexity through structured segmentation.
2Productivity
If multiple user equipment types are trained simultaneously in the same A-BFT, then the beamforming training efficiency is improved, but the time range allocation becomes complex
Solution Approach 1:
The patent introduces dynamic duration information that allows flexible allocation of time ranges within the A-BFT period. The network device dynamically determines the duration of each time range based on the specific needs of different user equipment types, enabling efficient simultaneous training while adapting to varying training requirements through dynamic time management rather than fixed rigid allocations.
Data Source
AI summary
Embodiments of this application provide an information transmission method, a network device, and a user equipment. The method provided in this application includes: sending, by a network device, a broadcast frame that includes first duration information and second duration information that are of A-BFT (Association Beamforming Training); receiving a frame sent by a first user equipment in a timeslot randomly selected from a first time range; and receiving a frame sent by a second user equipment in a timeslot randomly selected from a second time range. According to the embodiments of this application, beamforming training efficiency can be improved.