18048682. ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT simplified abstract (QUALCOMM Incorporated)

From WikiPatents
Jump to navigation Jump to search

ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT

Organization Name

QUALCOMM Incorporated

Inventor(s)

Tianyang Bai of Somerville NJ (US)

Yan Zhou of San Diego CA (US)

Hua Wang of Basking Ridge NJ (US)

Junyi Li of Fairless Hills PA (US)

Tao Luo of San Diego CA (US)

ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18048682 titled 'ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT

Simplified Explanation

The present disclosure relates to wireless communication, where a user equipment (UE) can request an event trigger based on a triggering event, activating a beam report configuration instead of using a machine learning model for beam prediction. The UE then transmits a beam measurement report to the network node based on this configuration.

  • Explanation of the patent/innovation:

- UE can request an event trigger based on a triggering event - Activates a beam report configuration instead of using a machine learning model for beam prediction - UE transmits a beam measurement report to the network node based on the configuration

  • Potential applications of this technology:

- Improved beam prediction in wireless communication systems - Enhanced network performance and efficiency - Better utilization of resources in wireless networks

  • Problems solved by this technology:

- Overcoming the limitations of machine learning models for beam prediction - Providing a more efficient and reliable method for beam prediction - Enhancing the overall performance of wireless communication systems

  • Benefits of this technology:

- Increased accuracy in beam prediction - Reduced network congestion and interference - Improved user experience in wireless communication

  • Potential commercial applications of this technology:

- Telecommunication companies for optimizing network performance - Technology companies for developing advanced wireless communication systems - IoT companies for improving connectivity and reliability in IoT devices

  • Possible prior art:

- Previous methods of beam prediction using machine learning models - Traditional approaches to event triggers and beam measurement in wireless communication

    1. Unanswered Questions
      1. How does this technology compare to existing machine learning models for beam prediction?

This article does not provide a direct comparison between the proposed beam report configuration method and traditional machine learning models for beam prediction.

      1. What impact does the use of event triggers have on network latency and efficiency?

The article does not delve into the specific effects of using event triggers on network latency and efficiency in wireless communication systems.


Original Abstract Submitted

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, an event trigger request based at least in part on an occurrence of a triggering event, the event trigger request activating a beam report configuration at the UE in lieu of a machine learning (ML) model for beam prediction at the UE. The UE may transmit, to the network node, a beam measurement report based at least in part on the beam report configuration. Numerous other aspects are described.