Micron technology, inc. (20240291511). AGGREGATE INTERFERENCE CANCELATION USING NEURAL NETWORKS simplified abstract
AGGREGATE INTERFERENCE CANCELATION USING NEURAL NETWORKS
Organization Name
Inventor(s)
Fa-Long Luo of San Jose CA (US)
Jaime Cummins of Bainbridge Island WA (US)
AGGREGATE INTERFERENCE CANCELATION USING NEURAL NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240291511 titled 'AGGREGATE INTERFERENCE CANCELATION USING NEURAL NETWORKS
Simplified Explanation: The patent application describes a wireless device with a neural network-based interference mitigation circuit that can adjust weights to mitigate multiple types of interference while receiving signals from multiple antennas.
- The wireless device includes a wireless receiver and an interference mitigation circuit.
- The interference mitigation circuit has a neural network that can adjust weights to mitigate different types of interference.
- The circuit receives an interference mitigation mode signal to indicate which types of interference to mitigate.
- By adjusting weights in response to the signal, the neural network can effectively reduce interference while receiving signals from multiple antennas.
Key Features and Innovation:
- Wireless device with a neural network-based interference mitigation circuit.
- Ability to adjust weights to mitigate multiple types of interference.
- Enhances signal reception from multiple antennas.
- Efficiently reduces interference for improved wireless communication.
- Adaptive system that can dynamically adjust to different interference scenarios.
Potential Applications:
- Wireless communication systems.
- Mobile devices.
- Internet of Things (IoT) devices.
- Satellite communication systems.
- Radar systems.
Problems Solved:
- Interference from multiple sources.
- Signal degradation in wireless communication.
- Challenges in receiving clear signals from multiple antennas.
- Need for adaptive interference mitigation techniques.
- Improving overall signal quality and reliability.
Benefits:
- Enhanced signal reception.
- Improved communication quality.
- Reduced interference for better performance.
- Adaptive and efficient interference mitigation.
- Increased reliability of wireless devices.
Commercial Applications: Wireless communication companies can integrate this technology into their devices to improve signal quality and reliability, leading to better customer satisfaction and potentially gaining a competitive edge in the market.
Questions about Wireless Interference Mitigation: 1. How does the neural network in the interference mitigation circuit adapt to different types of interference? 2. What are the potential implications of this technology for the future of wireless communication systems?
Frequently Updated Research: Researchers are continually exploring new algorithms and techniques to enhance interference mitigation in wireless devices, which could further improve the performance of such systems.
Original Abstract Submitted
a wireless device includes a wireless receiver configured to receive a respective plurality of receive signals from a respective receiving antenna of a plurality of receiving antennas and an interference mitigation circuit coupled to the respective receiving antenna and including a neural network. the interference mitigation circuit is configured to receive an interference mitigation mode signal indicating two or more interference types of a plurality of interference types to mitigate. in response to the interference mitigation mode signal, the interference mitigation circuit is configured to adjust weights applied by the neural network for adjusted signals to cause the neural network to mitigate the two or more interference types of the plurality of interference types while receiving the plurality of receive signals.
