Samsung electronics co., ltd. (20240348507). GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS simplified abstract
Contents
GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS
Organization Name
Inventor(s)
Jianzhong Zhang of Dallas TX (US)
GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348507 titled 'GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS
The method described in the abstract involves generating embedded features to represent operational data of network elements in a wireless communication network. These features are then used to create a relationship graph that illustrates the behavior of the network elements. By analyzing this relationship graph, anomalies in the network can be detected, which indicate deviations from expected behavior. Network analytics are then generated based on these detected anomalies.
- Embedded features are generated to represent operational data of network elements.
- A relationship graph is created based on these embedded features to show the behavior of the network elements.
- Anomalies in the network are detected using the relationship graph.
- Detected anomalies identify deviations from the expected behavior of network elements.
- Network analytics are generated based on the detected anomalies.
Potential Applications: - Network monitoring and troubleshooting in wireless communication networks. - Predictive maintenance to prevent network failures. - Optimization of network performance based on detected anomalies.
Problems Solved: - Efficient detection of anomalies in wireless communication networks. - Improved understanding of network behavior through relationship graphs. - Enhanced network management and maintenance processes.
Benefits: - Early detection of network issues leads to improved network reliability. - Cost savings through proactive maintenance and troubleshooting. - Enhanced network performance and user experience.
Commercial Applications: Title: "Wireless Network Anomaly Detection and Analysis Technology" This technology can be utilized by telecommunications companies, network operators, and IT departments to ensure the smooth operation of wireless communication networks. It can also be integrated into network monitoring tools and software for automated anomaly detection and analysis.
Questions about Wireless Network Anomaly Detection and Analysis Technology: 1. How does this technology compare to traditional network monitoring methods? This technology offers a more proactive approach to network monitoring by detecting anomalies based on relationship graphs, leading to quicker issue resolution and improved network performance.
2. Can this technology be applied to other types of networks, such as wired networks? While the focus is on wireless communication networks, the principles of anomaly detection and analysis can be adapted for use in wired networks as well, with appropriate modifications.
Original Abstract Submitted
a method includes generating multiple embedded features representing operational data of network elements in a wireless communication network. the method also includes generating a relationship graph based on the embedded features, the relationship graph representing behavior of the network elements in the wireless communication network. the method also includes detecting one or more anomalies in the wireless communication network using the relationship graph, the one or more anomalies identifying one or more deviations of one or more of the network elements from an expected behavior of the one or more network elements. the method also includes generating network analytics based on the one or more detected anomalies.
