Qualcomm incorporated (20240129750). DISABLING BEAM PREDICTION OUTPUTS simplified abstract
DISABLING BEAM PREDICTION OUTPUTS
Organization Name
Inventor(s)
Tianyang Bai of Somerville NJ (US)
Navid Abedini of Basking Ridge NJ (US)
Aria Hasanzadezonuzy of Somerville NJ (US)
Hua Wang of Basking Ridge NJ (US)
Junyi Li of Fairless Hills PA (US)
DISABLING BEAM PREDICTION OUTPUTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240129750 titled 'DISABLING BEAM PREDICTION OUTPUTS
Simplified Explanation
The present disclosure relates to wireless communication and involves a user equipment (UE) receiving a beam prediction model configuration from a network node, indicating a subset of beams to be associated with a measurement report, and transmitting the measurement report with predicted beam measurements based on the output of the beam prediction model.
- Explanation:
- UE receives beam prediction model configuration from network node
- UE receives indication of subset of beams for measurement report
- UE transmits measurement report with predicted beam measurements based on model output
Potential Applications
This technology could be applied in: - 5G and future wireless communication systems - Beamforming and beam management in cellular networks
Problems Solved
- Efficient beam prediction for improved communication performance - Streamlining beam management processes in wireless networks
Benefits
- Enhanced network performance and reliability - Optimized use of beamforming technology - Improved user experience with faster and more stable connections
Potential Commercial Applications
Optimized Beam Prediction Model for Enhanced Wireless Communication
Possible Prior Art
No known prior art at this time.
Unanswered Questions
How does this technology impact battery life in mobile devices?
This article does not address the potential impact of this technology on battery life in mobile devices. Implementing beam prediction models may require additional processing power, which could affect battery consumption.
What are the potential security implications of using beam prediction models in wireless communication?
The article does not discuss the security implications of utilizing beam prediction models in wireless communication. It is important to consider potential vulnerabilities or risks associated with implementing such technology in network systems.
Original Abstract Submitted
various aspects of the present disclosure generally relate to wireless communication. in some aspects, a user equipment (ue) may receive, from a network node, a configuration of a beam prediction model that is trained to predict beam measurements for a set of beams. the ue may receive, from the network node, an indication of a subset of beams, from the set of beams, that are to be associated with a measurement report. the ue may transmit, to the network node, the measurement report indicating one or more predicted beam measurements that are based at least in part on an output of the beam prediction model, the output of the beam prediction model including beam predictions associated with the set of beams, and the one or more predicted beam measurements including information associated with the subset of beams. numerous other aspects are provided.
