Cisco Technology, Inc. (20240283506). PREDICTING CONNECTION ISSUES IN A WIRELESS BAND simplified abstract
Contents
- 1 PREDICTING CONNECTION ISSUES IN A WIRELESS BAND
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREDICTING CONNECTION ISSUES IN A WIRELESS BAND - 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 Predictive Connection Maintenance in Wireless Networks
- 1.13 Original Abstract Submitted
PREDICTING CONNECTION ISSUES IN A WIRELESS BAND
Organization Name
Inventor(s)
Matthew Aaron Silverman of Shaker Heights OH (US)
Ardalan Alizadeh of Milpitas CA (US)
John Matthew Swartz of Lithia FL (US)
PREDICTING CONNECTION ISSUES IN A WIRELESS BAND - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240283506 titled 'PREDICTING CONNECTION ISSUES IN A WIRELESS BAND
Simplified Explanation
The patent application discusses predicting connection issues by analyzing channel state information (CSI) collected during beamforming training on different links associated with a client device.
Key Features and Innovation
- Predicting connection issues by comparing CSI collected during beamforming training on different links.
- Setting the status of beamforming on a link to "stale" if the correlation between the collected CSI is below a threshold.
Potential Applications
This technology can be applied in wireless communication systems to improve connection stability and performance.
Problems Solved
- Predicting and addressing potential connection issues before they occur.
- Enhancing the efficiency of beamforming techniques in wireless networks.
Benefits
- Improved reliability and performance of wireless connections.
- Proactive maintenance of network stability.
- Enhanced user experience with seamless connectivity.
Commercial Applications
Title: Predictive Connection Maintenance in Wireless Networks This technology can be utilized by telecommunications companies, network providers, and device manufacturers to enhance the quality of wireless communication services. It can also be integrated into IoT devices to ensure consistent connectivity.
Prior Art
Further research can be conducted on existing methods of predicting connection issues in wireless networks and comparing them with the innovative approach described in this patent application.
Frequently Updated Research
Stay updated on advancements in beamforming technology and predictive maintenance strategies in wireless communication systems to enhance the effectiveness of this innovation.
Questions about Predictive Connection Maintenance in Wireless Networks
How does this technology improve the reliability of wireless connections?
This technology enhances reliability by proactively identifying and addressing potential connection issues based on collected CSI data.
What are the commercial implications of implementing predictive connection maintenance in wireless networks?
Implementing this technology can lead to improved customer satisfaction, reduced maintenance costs, and increased network performance for telecommunications companies and device manufacturers.
Original Abstract Submitted
connection issue prediction may be provided. a computing device may receive first channel state information (csi) for a first link associated with a client device. the first csi may be collected when beamforming was trained on a second link associated with the client device. second csi may be received for the first link associated with the client device. the second csi may be collected at a time subsequent to when beamforming was trained on the second link associated with the client device. a correlation between the first csi and the second csi may be determined to be below a predetermined threshold. a status of the beamforming performed on the second link associated with the client device may be set to stale in response to determining that the correlation between the first csi and the second csi is below the predetermined threshold.
