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

=Machine Learning-Based Beam Selection=


==Organization Name==

[[:Category:apple inc.|apple inc.]]


[[Category:apple inc.]]

==Inventor(s)==

[[:Category:Yushu Zhang of Beijing (CN)|Yushu Zhang of Beijing (CN)]][[Category:Yushu Zhang of Beijing (CN)]]

[[:Category:Dawei Zhang of Saratoga CA (US)|Dawei Zhang of Saratoga CA (US)]][[Category:Dawei Zhang of Saratoga CA (US)]]

[[:Category:Haitong Sun of Cupertino CA (US)|Haitong Sun of Cupertino CA (US)]][[Category:Haitong Sun of Cupertino CA (US)]]

[[:Category:Huaning Niu of San Jose CA (US)|Huaning Niu of San Jose CA (US)]][[Category:Huaning Niu of San Jose CA (US)]]

[[:Category:Oghenekome Oteri of San Diego CA (US)|Oghenekome Oteri of San Diego CA (US)]][[Category:Oghenekome Oteri of San Diego CA (US)]]

[[:Category:Seyed Ali Akbar Fakoorian of San Diego CA (US)|Seyed Ali Akbar Fakoorian of San Diego CA (US)]][[Category:Seyed Ali Akbar Fakoorian of San Diego CA (US)]]

[[:Category:Sigen Ye of San Diego CA (US)|Sigen Ye of San Diego CA (US)]][[Category:Sigen Ye of San Diego CA (US)]]

[[:Category:Wei Zeng of Saratoga CA (US)|Wei Zeng of Saratoga CA (US)]][[Category:Wei Zeng of Saratoga CA (US)]]

[[:Category:Weidong Yang of San Diego CA (US)|Weidong Yang of San Diego CA (US)]][[Category: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.



[[Category:H04B7/06]]
[[Category:H04W24/10]]
[[Category:CPC_H04B7/06952]]