Mitsubishi electric corporation (20240137815). METHOD FOR LEARNING QoS PERFORMANCE INTER-DEPENDENCE OF COMMUNICATION LINK simplified abstract
Contents
METHOD FOR LEARNING QoS PERFORMANCE INTER-DEPENDENCE OF COMMUNICATION LINK
Organization Name
mitsubishi electric corporation
Inventor(s)
QIANRUI Li of RENNES Cedex 7 (FR)
HERVE Bonneville of RENNES Cedex 7 (FR)
NICOLAS Gresset of RENNES Cedex 7 (FR)
METHOD FOR LEARNING QoS PERFORMANCE INTER-DEPENDENCE OF COMMUNICATION LINK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137815 titled 'METHOD FOR LEARNING QoS PERFORMANCE INTER-DEPENDENCE OF COMMUNICATION LINK
Simplified Explanation
The patent application describes a method for learning the QoS performance inter-dependence of multiple communication links in a network managed by a central node, where the wireless links interface with a common application using a joint figure of merit.
- Explanation of the patent:
- The method focuses on understanding how the quality of service (QoS) of each communication link in a network affects the overall performance when managed by a central node. - It involves analyzing the inter-dependence of the QoS metrics of the wireless links that connect to a common application, which is evaluated based on a joint figure of merit. - By studying how these links interact and influence each other's performance, the central node can optimize the network's overall QoS.
Potential applications of this technology: - Network optimization in large-scale wireless communication systems. - Enhancing the performance of IoT devices connected through multiple wireless links.
Problems solved by this technology: - Improving the efficiency and reliability of network communication. - Enhancing the user experience by ensuring consistent QoS across all communication links.
Benefits of this technology: - Increased network performance and reliability. - Better utilization of resources leading to cost savings. - Enhanced user satisfaction due to improved QoS.
Potential commercial applications of this technology: - Telecommunication companies for optimizing network performance. - IoT device manufacturers for ensuring reliable connectivity.
Possible prior art: - Prior research on QoS optimization in wireless networks. - Studies on network performance management in centralized systems.
Questions: 1. How does this method handle dynamic changes in network conditions that may affect QoS performance? 2. Are there any specific algorithms or techniques used to analyze the inter-dependence of QoS metrics in the communication links?
Original Abstract Submitted
a method for learning qos performance inter-dependence of a plurality of communication links in a network managed by a central node, wherein the plurality of wireless links interface with a common application applying a joint figure of merit, comprising:
