Samsung electronics co., ltd. (20240113794). METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS - 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 Original Abstract Submitted
METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS
Organization Name
Inventor(s)
Jeongho Jeon of San Jose CA (US)
METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240113794 titled 'METHOD AND APPARATUS FOR PREDICTING CSI IN CELLULAR SYSTEMS
Simplified Explanation
The patent application describes a method and apparatus for predicting Channel State Information (CSI) feedback in cellular systems using machine learning models.
- The method involves receiving information related to monitoring the performance of a machine learning model for predicting CSI, transmitting a performance monitoring report, receiving CSI reference signals for determining ground-truth CSI, and determining the ground-truth CSI based on the received signals and performance monitoring report.
- The method further includes transmitting a channel with the performance monitoring report to improve the accuracy of CSI prediction in cellular systems.
Potential Applications
This technology can be applied in:
- 5G and beyond cellular networks
- Internet of Things (IoT) devices
- Wireless communication systems
Problems Solved
- Improves the accuracy of CSI prediction in cellular systems
- Enhances the efficiency of resource allocation in wireless networks
Benefits
- Enhanced network performance
- Better utilization of network resources
- Improved user experience in wireless communication
Potential Commercial Applications
Optimized resource allocation in cellular networks for:
- Telecommunication companies
- IoT service providers
- Network equipment manufacturers
Possible Prior Art
There may be prior art related to machine learning models for predicting CSI in wireless communication systems. However, specific details would need to be researched to identify relevant prior art.
Unanswered Questions
How does this technology impact network latency in cellular systems?
This article does not address the potential impact of this technology on network latency in cellular systems. Further research and testing would be needed to determine the effects on latency.
What are the potential security implications of transmitting performance monitoring reports in wireless networks?
The article does not discuss the security aspects of transmitting performance monitoring reports in wireless networks. It would be important to investigate potential security risks and safeguards when implementing this technology.
Original Abstract Submitted
method and apparatuses for predicting channel state information (csi) feedback in cellular systems. a method for a user equipment (ue) to report csi includes receiving first information related to monitoring a performance of a machine learning (ml) model for predicting csi, second information related to transmitting a performance monitoring report, third information related to reception of csi reference signals (csi-rss) for determining a ground-truth csi on a cell, and the csi-rss based on the third information. the method further includes determining the ground-truth csi based on the reception of the csi-rss and a performance monitoring report for the ml model based on the first information and the ground-truth csi. the method further includes transmitting a channel with the performance monitoring report based on the second information.
