18584561. DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Channel Estimation Technology
- 1.13 Original Abstract Submitted
DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM
Organization Name
Inventor(s)
Kyeongyeon Kim of Suwon-si (KR)
DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18584561 titled 'DEVICE AND METHOD FOR CHANNEL ESTIMATION USING SHORT/LONG-TERM MEMORY NETWORK IN MILLIMETER-WAVE COMMUNICATION SYSTEM
Simplified Explanation
The patent application describes a method and device for channel estimation in millimeter-wave communication systems using a short/long-term memory network. This involves inputting a received pilot signal to the network, extracting a time-varying channel feature, estimating a channel model parameter, and ultimately estimating the channel for the received pilot signal.
- Utilizes a short/long-term memory network for channel estimation in mmWave communication systems
- Extracts time-varying channel features to improve accuracy
- Estimates channel model parameters for better performance
- Enhances channel estimation for received pilot signals
Key Features and Innovation
- Utilization of short/long-term memory network for channel estimation
- Extraction of time-varying channel features for improved accuracy
- Estimation of channel model parameters for enhanced performance
- Improved channel estimation for received pilot signals
Potential Applications
The technology can be applied in:
- 5G and beyond communication systems
- Autonomous vehicles
- Internet of Things (IoT) devices
- Wireless virtual reality/augmented reality systems
Problems Solved
- Enhances accuracy of channel estimation in millimeter-wave communication systems
- Improves performance of channel model parameter estimation
- Provides better channel estimation for received pilot signals
Benefits
- Increased reliability and efficiency in mmWave communication systems
- Enhanced performance in 5G and beyond networks
- Improved connectivity for IoT devices and autonomous vehicles
Commercial Applications
- Title: "Advanced Channel Estimation Technology for Millimeter-Wave Communication Systems"
- This technology can be utilized in telecommunications companies for improving network performance and reliability.
- It can also be integrated into IoT devices and autonomous vehicles for better connectivity and communication.
Prior Art
There may be prior research on channel estimation methods in mmWave communication systems using neural networks or machine learning algorithms. Researchers can explore IEEE journals and conferences for related work.
Frequently Updated Research
Researchers are constantly exploring new techniques and algorithms for channel estimation in millimeter-wave communication systems. Stay updated on IEEE publications and conferences for the latest advancements in this field.
Questions about Channel Estimation Technology
How does this technology improve channel estimation in millimeter-wave communication systems?
This technology enhances accuracy by utilizing a short/long-term memory network and extracting time-varying channel features.
What are the potential applications of this channel estimation technology beyond millimeter-wave communication systems?
This technology can be applied in various fields such as autonomous vehicles, IoT devices, and wireless virtual reality/augmented reality systems.
Original Abstract Submitted
A device and a method for channel estimation using a short/long-term memory network in a millimeter-wave (mmWave) communication system are provided. The channel estimation method includes the operations of inputting a received pilot signal of a time slot to a long short-term memory network, extracting a time-varying channel feature embedding vector by estimating a change state of a channel by using the received pilot signal of the time slot as an input in the long short-term memory network, estimating a parameter of a channel model by using the time-varying channel feature embedding vector as an input in a fully connected network, and estimating a channel for the received pilot signal of the time slot, using the parameter of the channel model.
