18486571. ELECTRONIC DEVICE AND METHOD TO PERFORM UNIVERSAL LEARNING-BASED CHANNEL STATE INFORMATION COMPRESSION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
ELECTRONIC DEVICE AND METHOD TO PERFORM UNIVERSAL LEARNING-BASED CHANNEL STATE INFORMATION COMPRESSION
Organization Name
Inventor(s)
Jin Hyun So of San Diego CA (US)
Hyuk Joon Kwon of San Diego CA (US)
Kee-Bong Song of San Diego CA (US)
ELECTRONIC DEVICE AND METHOD TO PERFORM UNIVERSAL LEARNING-BASED CHANNEL STATE INFORMATION COMPRESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18486571 titled 'ELECTRONIC DEVICE AND METHOD TO PERFORM UNIVERSAL LEARNING-BASED CHANNEL STATE INFORMATION COMPRESSION
The abstract of the patent application describes a method that involves partitioning channel state information (CSI) into discrete elements, categorizing the partitioned CSI into bins of equal length, and encoding the categorized partitioned CSI.
- Simplified Explanation:
- The method involves organizing channel state information into distinct parts, grouping these parts into bins of the same size, and encoding the grouped information.
- Key Features and Innovation:
- Partitioning CSI into discrete elements based on a predetermined dimension. - Categorizing the partitioned CSI into bins of equal length. - Encoding the categorized partitioned CSI.
- Potential Applications:
- Wireless communication systems. - Signal processing technologies. - Data transmission and reception.
- Problems Solved:
- Efficient organization of channel state information. - Improved data encoding and transmission. - Enhanced signal processing capabilities.
- Benefits:
- Enhanced data processing efficiency. - Improved signal quality. - Better utilization of wireless communication resources.
- Commercial Applications:
- Potential use in 5G networks. - Application in IoT devices. - Integration into smart devices for improved connectivity.
- Questions about Channel State Information (CSI):
1. What is the significance of partitioning CSI into discrete elements? - Partitioning CSI helps in organizing and categorizing the information for efficient processing and encoding.
2. How does categorizing CSI into bins of equal length benefit data transmission? - Categorizing CSI into equal-length bins ensures uniform processing and encoding, leading to improved signal quality and data transmission efficiency.
Original Abstract Submitted
A system and a method are disclosed. The method includes partitioning channel state information (CSI) into one or more discrete elements based on a predetermined dimension; categorizing the partitioned CSI into one or more bins having an equal length; and encoding the categorized partitioned CSI.
