KR-20260067475-A - Method for analyzing mobile communication quality of M2M terminal and apparatus and system therefor

Abstract

The present invention relates to a method for analyzing the mobile communication quality of an M2M terminal, and to an apparatus and system for the same. A method in a terminal quality analysis system linked with a mobile communication network according to one aspect of the present disclosure may include the steps of: collecting and storing standardized Call Detail Records (CDR) data in real time; classifying CDR data subject to M2M (Machine to Machine) terminal quality analysis from the standardized CDR data; determining whether a quality management indicator alarm has occurred based on the classified CDR data; identifying the International Mobile Subscriber Identity (IMSI) of the M2M terminal for which the quality management indicator alarm has occurred; and classifying the identified IMSI by customer to generate a list of IMSIs for which the alarm occurred.

Inventors

• 조수경
• 김용태

Assignees

• 주식회사 엘지유플러스

Dates

Publication Date

20260513

Application Date

20241105

Claims (20)

1. In a method for a terminal quality analysis system linked to a mobile communication network, A step of collecting and storing standardized CDR (Call Detail Records) data in real time; A step of classifying CDR data subject to M2M (Machine to Machine) terminal quality analysis from the above-mentioned standardized CDR data; A step of determining whether a quality control indicator alarm occurs based on the above-described classified CDR data; A step of identifying the IMSI (International Mobile Subscriber Identity) of the M2M terminal in which the above quality control indicator alarm was generated; and A step of classifying the identified IMSIs by client to generate a list of alarm-inducing IMSIs. A method including
2. In paragraph 1, A method further comprising the step of receiving terminal attribute information corresponding to the M2M terminal where the quality management indicator alarm was generated from a customer information management system.
3. In paragraph 2, A method comprising at least one of the following terminal attribute information: information regarding a service name provided to a customer of the terminal; model name information for identifying the model name of the terminal; band information for identifying the supported frequency of the terminal; information regarding a communication method for identifying 3GPP wireless communication technology supported by the terminal; APN (Access Point Name) information for distinguishing the service of the terminal; terminal version information for identifying the firmware version of the terminal; module name information for identifying the model name of a communication module installed in the terminal; module version information for identifying the firmware version of the communication module; chipset name information for identifying the chipset model name installed in the terminal; and activation status information for identifying the activation status (normal/terminated/normal) of the terminal.
4. In paragraph 3, The above-described classified CDR data includes call processing-related messages generated during the initial connection of the M2M terminal to the corresponding network core network and status report messages received from the M2M terminal according to the carrier's own specifications, and A method comprising at least one of base station information for identifying the base station to which the terminal is currently connected, RSRP (Received Signal Received Power) for identifying the reception strength (dBm) of the base station signal received by the terminal, and SINR (Signal to Interference and Noise Ratio) for identifying the interference (dB) of the base station signal received by the terminal.
5. In paragraph 4, A method further comprising the step of generating a quality information mapping table corresponding to an M2M terminal where the above quality management indicator alarm has occurred, wherein the quality information mapping table is generated based on the terminal attribute information and the status report message.
6. In paragraph 1, A method in which the above-mentioned structured CDR data is collected by a mobile core probe system connected to a serving gateway of a core network and a Packet Data Network (PDN) gateway, and includes raw data related to the quality of all terminals and network equipment activated in the mobile communication network.
7. In paragraph 1, A method further comprising the step of visualizing and displaying the list of alarm occurrence IMSIs classified by the above-mentioned client on a dashboard.
8. In Paragraph 7, A method characterized by visualizing the analysis results of the quality control indicators corresponding to the above alarm occurrence IMSI list and further displaying them on the above dashboard.
9. In Paragraph 7, A method characterized by further displaying an alarm message on the dashboard that includes information regarding the customer name and quality control indicators related to the alarm occurrence, and displaying the alarm occurrence IMSI list and the analysis results for the quality control indicators on the dashboard based on the selection of the alarm message.
10. In paragraph 1, The above quality control indicators include at least one of TCP success rate, traffic usage, S1 connection success rate, S1 SRMO (Service Request Mobile Originated in the S1 application protocol (S1AP) data schema) success rate, terminal input voltage failure rate, and the number of M2M terminal autoresets.
11. In a terminal quality analysis system linked to a mobile communication network, Mobile core probe system for collecting and storing structured CDR (Call Detail Records) data in real time; A network management system for classifying CDR data subject to M2M (Machine to Machine) terminal quality analysis from the above-mentioned standardized CDR data; and Based on the above-described CDR data, determine whether a quality control indicator alarm occurs. An alarm analysis platform that identifies the IMSI (International Mobile Subscriber Identity) of M2M terminals where the above quality management indicator alarm has occurred, classifies the identified IMSIs by client, and generates a list of alarm-occurring IMSIs. A terminal quality analysis system including
12. In paragraph 1, A terminal quality analysis system further comprising a customer information management system that provides terminal attribute information corresponding to the M2M terminal for which the above quality management indicator alarm was generated to the alarm analysis platform.
13. In Paragraph 12, A terminal quality analysis system comprising at least one of the following terminal attribute information: information regarding a service name provided to a customer of the terminal; model name information for identifying the model name of the terminal; band information for identifying the supported frequency of the terminal; information regarding a communication method for identifying 3GPP wireless communication technology supported by the terminal; APN (Access Point Name) information for distinguishing the service of the terminal; terminal version information for identifying the firmware version of the terminal; module name information for identifying the model name of a communication module installed in the terminal; module version information for identifying the firmware version of the communication module; chipset name information for identifying the chipset model name installed in the terminal; and activation status information for identifying the activation status (normal/terminated/normal) of the terminal.
14. In Paragraph 13, The above-described classified CDR data includes call processing-related messages generated during the initial connection of the M2M terminal to the corresponding network core network and status report messages received from the M2M terminal according to the carrier's own specifications, and The above status report message is a terminal quality analysis system comprising at least one of base station information for identifying the base station to which the terminal is currently connected, RSRP (Received Signal Received Power) for identifying the reception strength (dBm) of the base station signal received by the terminal, and SINR (Signal to Interference and Noise Ratio) for identifying the interference (dB) of the base station signal received by the terminal.
15. In Paragraph 14, A terminal quality analysis system in which the above alarm analysis platform generates a quality information mapping table corresponding to the M2M terminal where the quality management indicator alarm occurred, based on the above terminal attribute information and the above status report message.
16. In Paragraph 11, A terminal quality analysis system in which the above mobile core probe system collects the above structured CDR data through the serving gateway and PDN (Packet Data Network) gateway of the core network, wherein the above structured CDR data includes raw data related to the quality of all terminals and network equipment activated in the mobile communication network.
17. In Paragraph 11, A terminal quality analysis system further comprising a visualization information generation platform that visualizes and displays a list of alarm occurrence IMSIs classified by the above-mentioned client on a dashboard.
18. In Paragraph 17, A terminal quality analysis system in which the above visualization information generation platform visualizes the analysis results for the above quality management indicators corresponding to the above alarm occurrence IMSI list and further displays them on the above dashboard.
19. In Paragraph 17, A terminal quality analysis system characterized by the above visualization information generation platform further displaying an alarm message on the dashboard that includes information regarding the customer name and quality management indicators related to the alarm occurrence, and displaying the alarm occurrence IMSI list and the analysis results for the quality management indicators on the dashboard based on the selection of the alarm message.
20. In Paragraph 11, The above quality management indicators include at least one of TCP success rate, traffic usage, S1 connection success rate, S1 SRMO (Service Request Mobile Originated in the S1 application protocol (S1AP) data schema) success rate, terminal input voltage failure rate, and the number of M2M terminal autoresets, in a terminal quality analysis system.

Description

Method for analyzing mobile communication quality of M2M terminal and apparatus and system therefor The present invention relates to a mobile communication quality analysis technology, and more specifically, to a technology that automatically extracts a list of IMSIs (International Mobile Subscriber Identities) for which alarms have been generated according to predefined quality management indicators for M2M services, and classifies and visualizes detailed quality-related information by client company. A Network Management System (NMS, Network Monitoring System) is a collective term for a combination of hardware and software used to monitor and manage network infrastructure that constitutes computer networks or mobile communication networks. An NMS is a central management system designed to support stable network operations by performing core functions such as network availability, configuration, accounting, performance, and security. The NMS collects and accumulates network status, alerts, traffic data, etc., from the core network to monitor the network status and can calculate and generate parameters or statistical data for network management. M2M (Machine to Machine) service is a wireless routing service designed to support communication between devices at much faster speeds than existing wireless services through 4G LTE CA (Carrier Aggregation) technology or 5G NR technology. Based on enhanced data transmission speeds, reduced latency, and multi-access capabilities, M2M services can be utilized not only in new industrial sectors such as the metaverse, robotics, and autonomous driving, but also by small and medium-sized enterprises and small business owners as an alternative to wired internet at their workplaces. In conventional M2M services, when a quality-related alarm occurred, the NMS could only query log data on an individual basis by entering the date and time of the alarm for a specific IMSI, making it difficult to accurately identify quality-related issues. In particular, there were limitations in quickly and accurately analyzing such quality issues when users lacked specialized knowledge in log data analysis. The drawings attached to this specification are intended to provide an understanding of the present invention, to illustrate various embodiments of the invention, and to explain the principles of the invention together with the description in the specification. FIG. 1 illustrates the structure of a 4G LTE system according to an embodiment of the present disclosure. FIG. 2 illustrates the structure of a 5G NR system according to an embodiment of the present disclosure. FIG. 3 is a network configuration diagram for explaining the process of collecting quality control indicator data for an M2M terminal according to one embodiment of the present disclosure. FIG. 4 is a diagram illustrating the configuration of an M2M terminal quality analysis system according to an embodiment of the present invention. FIG. 5 is a flowchart for explaining a method for analyzing the mobile communication quality of an M2M terminal according to an embodiment of the present invention. FIG. 6 is a quality control indicator table according to an embodiment of the present invention. Figure 7 is information extracted for the creation of a quality information mapping table according to an embodiment of the present invention. FIG. 8 shows a user interface screen for real-time monitoring of an M2M terminal quality management indicator alarm according to an embodiment of the present invention. FIG. 9 illustrates a computing device according to one embodiment of the present invention. Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the embodiments of the present invention, if it is determined that a detailed description of related known components or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted. In describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components, and the essence, order, or sequence of the components is not limited by the terms. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense un