Apple inc. (20240195482). Machine Learning-Based Beam Selection simplified abstract

Machine Learning-Based Beam Selection

Organization Name

apple inc.

Inventor(s)

Yushu Zhang of Beijing (CN)

Dawei Zhang of Saratoga CA (US)

Haitong Sun of Cupertino CA (US)

Huaning Niu of San Jose CA (US)

Oghenekome Oteri of San Diego CA (US)

Seyed Ali Akbar Fakoorian of San Diego CA (US)

Sigen Ye of San Diego CA (US)

Wei Zeng of Saratoga CA (US)

Weidong Yang of San Diego CA (US)

Machine Learning-Based Beam Selection - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240195482 titled 'Machine Learning-Based Beam Selection

The abstract describes a patent application where a user equipment (UE) is able to select a beam in a wireless network. The UE receives a beam pattern configuration from a base station, reports a subset of beams for measurements, performs measurements on the subset, updates a beam search space (BSS) based on the measurements, reports the updated BSS to the base station, and selects a beam to switch to from the updated BSS.

• Key Features and Innovation:

   - User equipment selecting a beam in a wireless network.
   - Reporting a subset of beams for measurements.
   - Updating a beam search space based on measurements.
   - Selecting a beam to switch to from the updated beam search space.

• Potential Applications:

   - Wireless communication networks.
   - Mobile devices.
   - Internet of Things (IoT) devices.
   - Beamforming technologies.

• Problems Solved:

   - Efficient beam selection in wireless networks.
   - Optimizing network performance.
   - Enhancing user experience with faster and more reliable connections.

• Benefits:

   - Improved network efficiency.
   - Enhanced user experience.
   - Faster data transmission.
   - Better connectivity in crowded network environments.

• Commercial Applications:

   - Telecom companies for improving network performance.
   - Device manufacturers for enhancing user experience.
   - IoT companies for reliable connectivity.
   - Research institutions for advancing wireless communication technologies.

• Prior Art:

   - Prior research on beamforming technologies in wireless networks.
   - Studies on beam selection algorithms in communication systems.

• Frequently Updated Research:

   - Ongoing developments in beamforming technologies.
   - Research on optimizing beam selection algorithms for wireless networks.

Questions about Beam Selection Technology: 1. How does beamforming technology improve network performance? 2. What are the key factors considered in selecting a beam for communication in wireless networks?

Original Abstract Submitted

a user equipment (ue) is configured to select a beam. the ue receives, from a base station of a wireless network, a beam pattern configuration, reports, to the base station, a subset of beams on which measurements will be performed, performs measurements on the subset of beams, updates a beam search space (bss) based on the measurements, reports the updated bss to the base station and selects a beam from the updated bss to switch to.