Samsung electronics co., ltd. (20240097764). CSI FEEDBACK IN CELLULAR SYSTEMS simplified abstract
Contents
- 1 CSI FEEDBACK IN CELLULAR SYSTEMS
CSI FEEDBACK IN CELLULAR SYSTEMS
Organization Name
Inventor(s)
Jeongho Jeon of San Jose CA (US)
CSI FEEDBACK IN CELLULAR SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240097764 titled 'CSI FEEDBACK IN CELLULAR SYSTEMS
Simplified Explanation
The patent application describes a method and apparatus for channel state information (CSI) feedback in cellular systems, specifically focusing on machine learning (ML) based CSI reporting.
- The method involves transmitting information related to the UE's capability to support ML-based CSI reporting and selecting a ML model for CSI reporting.
- It includes configuring a ML model for determining the CSI, processing the ML model output, and receiving CSI reference signals (CSI-RSs) on a cell.
- Based on the ML model and the received CSI-RSs, the method determines a CSI report and transmits it.
Potential Applications
This technology can be applied in cellular networks to improve the efficiency and accuracy of CSI reporting, leading to better network performance and resource allocation.
Problems Solved
1. Enhances the accuracy and reliability of CSI reporting in cellular systems. 2. Optimizes resource allocation and network performance based on ML models.
Benefits
1. Improved network efficiency and performance. 2. Enhanced user experience with better resource allocation. 3. Streamlined CSI reporting process for cellular systems.
Potential Commercial Applications
"Enhanced CSI Reporting in Cellular Systems Using Machine Learning Models"
Possible Prior Art
There may be prior art related to traditional methods of CSI reporting in cellular systems, but the use of ML models for this purpose may be a novel approach.
Unanswered Questions
How does this technology impact network latency in cellular systems?
The patent application does not specifically address the impact of this technology on network latency. However, the use of ML models for CSI reporting could potentially optimize resource allocation and improve network efficiency, which may indirectly contribute to reducing network latency.
What are the potential challenges in implementing ML-based CSI reporting in existing cellular networks?
The patent application does not discuss the challenges in implementing ML-based CSI reporting. Some potential challenges could include the need for specialized hardware or software, training ML models with accurate data, and ensuring compatibility with existing network infrastructure.
Original Abstract Submitted
method and apparatuses for channel state information (csi) feedback in cellular systems. a method for operating a user equipment (ue) to report csi includes transmitting first information related to a capability of the ue to support machine learning (ml) based csi reporting and second information related to a selection of a ml model for csi reporting. the method further includes receiving third information related to configuring a first ml model for determining the csi, fourth information related to processing a ml model output, fifth information related to reception of csi reference signals (csi-rs s) on a cell, and the csi-rss based on the fifth information. the method further includes determining, based on the third and fourth information and the reception of the csi-rss, a csi report using the first ml model and transmitting a channel with the csi report.
