18544201. GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
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 18544201 titled 'GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS
The method described in the abstract involves using embedded features to analyze operational data of network elements in a wireless communication network. By generating a relationship graph based on these features, the behavior of the network elements can be represented and anomalies can be detected to identify deviations from expected behavior. Network analytics are then generated based on the detected anomalies.
- Embedded features are generated to represent operational data of network elements.
- A relationship graph is created based on these features to represent 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 optimization in wireless communication networks. - Anomaly detection and troubleshooting in network operations.
Problems Solved: - Efficient analysis of operational data in wireless communication networks. - Early detection of anomalies to prevent network disruptions.
Benefits: - Improved network performance and reliability. - Enhanced troubleshooting capabilities for network operators.
Commercial Applications: Title: Wireless Network Anomaly Detection and Analytics This technology can be used by telecommunications companies to enhance the performance and reliability of their wireless communication networks. It can also be valuable for network equipment vendors to offer advanced monitoring and analytics solutions to their customers.
Questions about Wireless Network Anomaly Detection and Analytics: 1. How does this technology improve network operations in wireless communication networks? This technology improves network operations by efficiently analyzing operational data and detecting anomalies to prevent disruptions.
2. What are the potential benefits of using network analytics based on detected anomalies? Using network analytics based on detected anomalies can lead to improved network performance, reliability, and troubleshooting capabilities.
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.
