18460356. INFORMATION TRANSMISSION METHOD, NETWORK DEVICE, AND USER EQUIPMENT simplified abstract (Huawei Technologies Co., Ltd.)

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INFORMATION TRANSMISSION METHOD, NETWORK DEVICE, AND USER EQUIPMENT

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Pei Zhou of Chengdu (CN)

Yan Long of Chengdu (CN)

Xiao Han of Shenzhen (CN)

Yingpei Lin of Munich (DE)

INFORMATION TRANSMISSION METHOD, NETWORK DEVICE, AND USER EQUIPMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18460356 titled 'INFORMATION TRANSMISSION METHOD, NETWORK DEVICE, AND USER EQUIPMENT

Simplified Explanation

The patent application describes a method for improving beamforming training efficiency in a network system.

  • Sending a broadcast frame containing first and second duration information related to Association Beamforming Training (A-BFT) by a network device.
  • Receiving frames from user equipment in randomly selected timeslots from different time ranges.
    • Potential Applications:**
  • Wireless communication networks
  • Internet of Things (IoT) devices
  • 5G technology
    • Problems Solved:**
  • Inefficient beamforming training
  • Limited network capacity
  • Interference in wireless communication
    • Benefits:**
  • Improved beamforming training efficiency
  • Enhanced network performance
  • Increased data transmission speeds


Original Abstract Submitted

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.