Qualcomm incorporated (20240137780). ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT simplified abstract
Contents
- 1 ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ACTIVATING A BEAM REPORT CONFIGURATION BASED AT LEAST IN PART ON A TRIGGERING EVENT
Organization Name
Inventor(s)
Tianyang Bai of Somerville NJ (US)
Hua Wang of Basking Ridge NJ (US)
Junyi Li of Fairless Hills PA (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 20240137780 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 transmit an event trigger request to a network node based on a triggering event, activating a beam report configuration at the UE instead of using a machine learning model for beam prediction. The UE then sends a beam measurement report to the network node based on the beam report configuration.
- Explanation:
- UE can send event trigger request to network node based on triggering event
- Activates beam report configuration at UE instead of using ML model for beam prediction
- UE sends beam measurement report to network node based on beam report configuration
Potential Applications
This technology can be applied in: - 5G networks - Internet of Things (IoT) devices - Autonomous vehicles
Problems Solved
- Efficient beam prediction in wireless communication - Reduced reliance on machine learning models - Improved network performance
Benefits
- Faster response to triggering events - Enhanced beam prediction accuracy - Optimal network resource allocation
Potential Commercial Applications
Optimized Beam Management in Wireless Communication
Possible Prior Art
- Machine learning models for beam prediction in wireless communication - Traditional beamforming techniques in wireless networks
Unanswered Questions
How does this technology impact network latency in real-world scenarios?
The article does not delve into the practical implications of reduced reliance on machine learning models for beam prediction on network latency.
What are the potential security implications of using event trigger requests in wireless communication?
The article does not address the security considerations associated with transmitting event trigger requests in wireless communication.
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.
