18482468. METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION - 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
METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION
Organization Name
Inventor(s)
Hyunseung Joo of Suwon-si (KR)
METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18482468 titled 'METHOD AND APPARATUS FOR TRANSMITTING CHANNEL STATE INFORMATION
Simplified Explanation
The abstract describes a method for wireless communication devices to optimize channel estimation using artificial intelligence models.
- Receiving a reference signal from a base station
- Estimating the channel between the device and the base station
- Extracting features from the channel using AI models
- Quantizing the features using a codebook
- Transmitting a bitstream with the quantized information to the base station
Potential Applications
This technology can be applied in various wireless communication systems, such as 5G networks, IoT devices, and satellite communication.
Problems Solved
This technology solves the problem of inaccurate channel estimation in wireless communication systems, leading to improved signal quality and reliability.
Benefits
The benefits of this technology include enhanced data transmission efficiency, reduced interference, and improved overall network performance.
Potential Commercial Applications
Potential commercial applications of this technology include telecommunications equipment, network infrastructure, and IoT devices.
Possible Prior Art
One possible prior art in this field is the use of machine learning algorithms for channel estimation in wireless communication systems.
Unanswered Questions
1. How does the proposed method compare to traditional channel estimation techniques in terms of accuracy and efficiency? 2. What are the potential limitations or challenges in implementing this technology in real-world wireless communication systems?
Original Abstract Submitted
An operating method of a wireless communication device includes receiving a reference signal from a base station, estimating a first channel between the wireless communication device and the base station based on the reference signal, extracting, based on a first artificial intelligence model trained to reduce a difference between the first channel estimated by the wireless communication device and a second channel estimated by the base station, a feature including grouped attributes from the first channel, quantizing the grouped attributes using a codebook that is based on a second artificial intelligence model and by generating one or more indices of the codebook for each group of the attributes, and transmitting, to the base station, a bitstream including combination information of the indices of the codebook.
