TW201620320A - Mobile Internet access quality analysis system and method - Google Patents

Abstract

The invention provides a mobile Internet access quality analysis system and method to analyze the subscriber mobile Internet packet for obtaining the waiting time of subscriber's internet access behavior (such as web page activation, APP function execution, etc.), the packet round-trip time between the access point and the service server, and provide mobile telecommunication service provider evaluating subscriber's feeling of internet access so as to take as the reference for improving the mobile Internet access quality. The system comprises a network packet retrieving device, a mobile Internet access subscriber simulation behavior analysis device, and an output inquiry device. The number of devices can be increased or decreased depending on the size of mobile network traffic. The network packet retrieving device retrieves the subscriber mobile Internet access packets and filters information required for system. The mobile Internet access subscriber simulation behavior analysis device performs the subscriber mobile Internet access behavior analysis by the subscriber traffic packets and computes the waiting time and the packet round-trip time between the access point and the service server. The output inquiry device stores the analysis result and provides a graph inquiry interface and, through the analysis result of the system, can actually respond to the mobile Internet access quality and subscriber's feeling.

Description

Mobile Internet quality analysis system and method

The invention relates to a mobile internet quality analysis system and method, in particular to a mobile internet quality analysis system and method based on periodic monitoring and information collection and evaluation of physical and virtual equipment under a virtualized infrastructure platform.

In recent years, due to the rise of smart phones, the number of mobile Internet users and the traffic volume have exploded, which makes it easy for users to surf the Internet due to insufficient bandwidth. However, the traffic analysis method used by the analysis equipment cannot reflect the user's online experience. Therefore, in order to effectively evaluate the user's actual network experience and mobile Internet quality, it is necessary to adopt a new traffic analysis method.

There are inadequacies in the methods of online mobile traffic analysis. For example, the traffic analysis of different service servers is independent and cannot reflect the actual network behavior of users. Take HTTP as an example. When opening a single web page, you may need to obtain data from several different service servers due to content needs (such as web page images), but both analysis methods use service server IP and HTTP Host (such as www). .google.com) is a package integration, so it is not possible to aggregate all the actions that such a page opens, resulting in a difference between the analysis results and the user's usage behavior.

There are inadequacies in the methods of online mobile traffic analysis, and encrypted traffic analysis only provides traffic statistics, which is not easy to reflect the user's online experience. Taking HTTPS as an example, both the analysis methods only count the amount of HTTPS traffic of the user, and the lack of correlation analysis between the user's actual network behavior and the service server response time, so it is difficult to reflect the user's Internet experience and mobile Internet quality.

In view of the above-mentioned problems of the prior art, the object of the present invention is to provide a mobile internet quality analysis system and method, which analyzes the online behavior and waiting time through the user action internet packet, and calculates the base station and the service in combination with the user mobile behavior. The round-trip time between servers provides mobile operators with an effective grasp of mobile Internet quality and user experience, thereby reducing the manpower and time required to improve network quality.

The mobile internet quality analysis system of the invention comprises a webpage packet capture device, an online user immersive behavior analysis device and an output query device. The webpage packet capture device is configured to capture the mobile internet packet and filter out the required information; the online user's simulated behavior analysis device is used to analyze the user's online behavior and waiting time in the required information, and calculate according to the user's mobile behavior. The packet round-trip time between the base station and the service server of the user, and then the analysis result is generated; the output query device is used to store the analysis result and provide a graphical query interface.

The mobile internet quality analysis method of the present invention comprises the following steps: capturing the mobile internet packet and filtering out the required information; analyzing the user's online real-life behavior and waiting time in the required information, and calculating the user's base according to the user's mobile behavior. The packet round-trip time between the station and the service server, which in turn produces analysis results; and stores the analysis results and provides a graphical query interface.

According to the above, the mobile internet quality analysis system and method according to the present invention can Has one or more of the following advantages:

1. The present invention integrates the mobile Internet service packet through the original application service classification smart library, and whether the packet is encrypted or not, the content can be integrated through the smart library content, thereby analyzing the user's online immersive behavior and calculating the waiting time, and letting the action The telecom operators can use the analysis results to understand the user's online behavior and accurately assess the user's online experience.

2. The present invention calculates the packet round-trip time between each base station and each service server through the response condition of the user traffic packet and the user's mobile behavior, and the result can be used to compare the packet round-trip time between different base stations and the same service server. This confirms the connection status between the base station and the data network.

3. The invention integrates the user's online behavior analysis and the base station packet round-trip time analysis result, and can evaluate the mobile internet quality from the user's point of view and the network perspective, so that the mobile operator can effectively grasp the operational network operation state to reduce the network improvement. The manpower and time required for quality.

1‧‧‧Devices with mobile Internet access

2‧‧‧LTE network architecture

21‧‧‧LTE base station equipment

22‧‧‧Service gateway/separated data network gateway

3‧‧‧GSM/UMTS network architecture

31‧‧‧GSM/UMTS base station equipment

32‧‧‧ Radio Network Controller

33‧‧‧GPRS Service Node

34‧‧‧GPRS gateway node

4‧‧‧Network packet capture device

5‧‧‧Mobile Internet user immersive behavior analysis device

51‧‧‧User Mobile Behavior Analysis Module

52‧‧‧User online behavior analysis module

53‧‧‧Application Service Classification Smart Library Module

54‧‧‧Base station packet round-trip time analysis module

6‧‧‧Output inquiry device

S510~S542‧‧‧Steps

The first figure is a functional block diagram of the mobile internet quality analysis system of the present invention.

Figure 2 is a flow chart of user mobile behavior analysis of the mobile internet quality analysis method of the present invention.

The third figure is a flow chart for analyzing the online behavior of users of the mobile internet quality analysis method of the present invention.

Figure 4 is a flow chart of the application service classification smart library module operation method of the mobile internet quality analysis method of the present invention.

Figure 5 is a flow chart of the base station packet round-trip time analysis module of the mobile internet quality analysis method of the present invention.

The mobile internet quality analysis system and method of the present invention utilizes one or more network packet capture devices to capture mobile internet packets, and filters out the required packets for use by the mobile Internet user's simulated behavior analysis device. The mobile Internet user-like behavior analysis device queries its associated IP list according to the service server IP and the protocol type for packet integration, and calculates the base station packet round-trip time in combination with the user mobility behavior. Finally, the analysis results are stored through the output query device and a graphical interface is provided for the mobile operator to query.

The mobile internet quality analysis system of the invention comprises a user mobile behavior analysis module, a user online behavior analysis module, an application service classification smart library module and a base station packet round-trip time analysis module. The user mobile behavior analysis module receives the mobile Internet user service packet captured by the network packet capture device from the base station, and analyzes the IP information in the IP layer and the GTP-U (GPRS Tunnelling Protocol User Plane) layer in the packet, thereby Understand the user's mobile behavior and its stay time, such as user A staying at base station A between 1:00PM and 2:00PM. After the user's online behavior analysis module receives the mobile Internet user service packet captured by the network packet capture device, the related service information packet and other information recorded in the smart library module are classified by the application service, and the related user traffic packet is collected for the user. Analyze the online behavior and calculate its waiting time. The application service classification smart library module stores the service server IP, the communication protocol type (such as HTTP, etc.), the service type (such as facebook, etc.) and the associated IP list information, and the user's online behavior analysis module identifies each user's traffic packet. Relevance and its type of service. The base station packet round-trip time analysis module combines the analysis results of the user mobile behavior analysis module and the user online behavior analysis module to confirm the list of base stations used by the user for online behavior, and between the base stations and the service server in the list. Seal Package round trip time.

The mobile Internet quality analysis system and method of the present invention utilizes a network packet capture device to automatically capture and filter a mobile Internet packet (Packet), and performs a packet analysis by a mobile Internet user's simulated behavior analysis device to confirm the user's mobile Internet experience, and finally A system for storing analysis results and providing a graphical query interface through an output query device.

The mobile internet quality analysis system and method of the present invention can further analyze the user's online immersive behavior and its mobile behavior through the mobile internet packet, where the user's online immersive behavior is a behavior when the user performs a single online action (such as opening a webpage). All packets between the terminal (mobile phone) and the action-related service server (maybe more than one), in order to reflect the actions performed by the user; the user mobile behavior refers to the sequence of the base station used by the user during the mobile Internet access process and the duration of the stay. Through the analysis and combination of the above information, the user's online experience and the connection status of the base station are evaluated. The related technologies and analysis information are as follows: User online immersive behavior waiting time: refers to the user's online quality analysis method for the user. After analyzing the online behavior (such as opening a web page, clicking the APP function, etc.), the time spent on each immersive behavior from start to finish is used to understand the user's actual behavior and feelings. In the case of HTTPS, the IP address of the HTTPS webpage is stored in the application service classification smart library module. The system uses the service server IP and the protocol type to obtain the associated IP list of the web page, and integrates the relevant packet of the web page according to the information to analyze the user behavior and calculate the waiting time.

Base station and service server packet round-trip time (referred to as base station packet round-trip time): refers to the above-mentioned user's online immersive behavior, the user's base station and its service server are sealed The time taken for the package to go back and forth to confirm whether the connection between each base station and each service server is normal. Taking HTTPS as an example, the round-trip time starts from the time the base station transmits the packet to the HTTPS server, and the time it takes to receive the HTTPS server response.

The mobile internet quality analysis system and method of the present invention are applicable to GPRS (General Packet Radio Service), UMTS (Universal Mobile Telecommunications System) and LTE (Long Term Evolution) networks, and can automatically perform packet analysis and aggregation 24 hours a day, 24 hours a day. Mobile telecom operators can instantly query the results of the analysis through a graphical interface.

Please refer to FIG. 1 , which is an architectural diagram of the mobile internet quality analysis system of the present invention. The components of the mobile Internet quality analysis system of the present invention comprise a network packet capture device 4, a mobile Internet user simulated behavior analysis device 5 and an output query device 6, and the analysis data source is an LTE network architecture 2 and a GSM/UMTS network. User traffic packet of the base station backend interface in architecture 3. The components in Figure 1 are described as follows: Mobile Internet Device 1: Refers to all devices that can be connected to the Internet. LTE Network Architecture 2: An LTE mobile network architecture that is a 3GPP specification, including an LTE base station device 21 and a service gateway/packet data network gateway 22. GSM/UMTS Network Architecture 3: GSM and UMTS mobile network architecture for 3GPP specifications, including GSM/UMTS base station equipment 31, wireless network controller 32, GPRS service node 33 and GPRS gateway node 34. Network packet capture device 4: A device with network packet capture and filtering capability for capturing mobile Internet user traffic packets and obtaining information required by the system. Action online user immersive behavior analysis device 5: Responsible for analyzing the mobile Internet user traffic packet, analyzing the user's online immersive behavior and calculating the waiting time and the base station packet round-trip time to evaluate the mobile Internet quality. Output query device 6: responsible for storing rows The online user analyzes the analysis result of the device 5, and can integrate the user number and IP correspondence table provided by other mobile network management systems to provide the mobile operator with the user number. The mobile Internet user behavior analysis device 5 is composed of a user mobile behavior analysis module 51, a user online behavior analysis module 52, an application service classification intelligent library 53 and a base station packet round-trip time analysis module 54, each module function and operation. The mode is briefly described as follows: after receiving the mobile Internet user service packet, the user mobile behavior analysis module 51 integrates the packet time, the IP address of the base station IP of the IP layer and the user IP of the GTP-U layer, and updates the user of the system storage. Location record and output to confirm the user's mobile behavior and the base station's dwell time. After receiving the mobile Internet user service packet, the user online behavior analysis module 52 queries the application service classification smart library module by using the service server IP and the communication protocol type to obtain the service type and the associated IP list, and then through the associated IP list. The IP information is collected and related packets to analyze the user's online behavior and calculate the waiting time. The application service classification smart library module 53 stores the service server IP, the communication protocol type, the service type, and the associated IP list information (such as the service server IP: 74.125.23.132, whose HTTP protocol packet belongs to the google service and the associated IP list is 173.194. .72.94), the user online behavior analysis module 52 identifies the association between each user traffic packet and its service type. The base station packet round-trip time analysis module 54 combines the analysis results of the user mobile behavior analysis module and the user online behavior analysis module to confirm the list of base stations used by the user for each online behavior, and calculate each base station and service servo in the list. Packet round trip time between devices.

In addition, the application service classification smart library module 53 applicable communication protocols include various current network communication protocols, such as HTTP, HTTPS, and RTSP, and the types of services that can be analyzed include current types of services, such as LINE, Facebook, and Youtube.

Please refer to FIG. 2, which is a workflow of the user mobile behavior analysis module 51 of the present invention. After receiving the mobile Internet user service packet in step 510, the base station IP included in the IP layer and the user IP information included in the GTP-U layer are retrieved through step 511. After completion, step 512 is performed to confirm whether the user location is determined by the user IP. Has been stored in the system record. If yes, step 514 is performed to update the user location record; if not, step 513 is executed to establish a new user location record, including start time, end time, user IP and base station IP. After the step 513 and the step 514 are completed, the module provides the user location information to the back-end base station packet round-trip time analysis module, and returns to step 510 to receive the subsequent user traffic packet.

Please refer to FIG. 3 , which is an operation flow of the user online behavior analysis module 52 of the present invention. After receiving the mobile Internet user service packet in step 520, the request and response packets are matched through step 521, and after the pairing is completed, step 522 is performed to confirm. Whether the service server IP is the associated IP of the existing user's online immersive behavior (referred to as the immersive behavior). If yes, step 524 is executed to incorporate the pen record into the corresponding immersive behavior; if not, step 523 is executed to establish a new immersive behavior, and the service server classification service smart library module is queried through the service server IP and the communication protocol type. , take out its service type and associated IP list to aggregate related user traffic packets through the IP information in the associated IP list. After the above steps 523 and 524 are completed, the module confirms the completion status of each immersive behavior through step 525, that is, whether the difference between the end time and the current time has exceeded the threshold (T1, which may be seconds or minutes). If the immersive behavior exceeds the threshold, indicating that there is no packet transmission between the mobile terminal and the service server for a period of time, the module considers that the online behavior has been completed and performs step 527 to calculate its user waiting time (the start time of the immersive behavior). The difference from the end time), after completion, step 526 is performed. However, if the immersive behavior does not exceed the threshold, step 526 is directly performed. Step 526 will provide the packet matching information and the immersive behavior information to the base station packet. The return time analysis module 54 uses, and simultaneously outputs the completed immersive behavior information and its waiting time to the output query device. After the output is completed, the process returns to step 520 to receive the subsequent user traffic packet.

Please refer to FIG. 4, which is an operation flow of the application service classification smart library module 53 of the present invention, and the query request and parameters (including the service server IP and the communication protocol type) of the user online behavior analysis module 52 are automatically received by step 530. After receiving, step 531 is performed to query the content of the smart library, and the service type and the associated IP list obtained by the query are provided to the user's online behavior analysis module 52. After completion, the process returns to step 530 to receive the next query request.

Please refer to FIG. 5, which is the operation flow of the base station packet round-trip time analysis module 54 of the present invention. The analysis result of the user mobile behavior module is received by the step 540 and stored in the system, and then step 541 is performed to receive the user's online behavior analysis. The analysis result of the module (including the result of the user traffic packet pairing and the user's online behavior analysis), after the completion of the receiving, step 542 is performed to find out the packet pairing included in each user's online immersive behavior, and obtain the user's mobile behavior. The base station list used by each immersive behavior is used to calculate the packet round-trip time between each base station used by the user in the online process and each service server, and output the result to the output query device, and then return to step 540 to receive the subsequent analysis result. .

In summary, the mobile internet quality analysis system and method of the present invention can automatically perform packet analysis and aggregation 24 hours a day, and can be applied to GPRS, UMTS and LTE networks, so that mobile operators can perform instant query analysis through a graphical interface. As a result, the results of the analysis of the system can truly reflect the quality of the mobile Internet and the user experience.

The above is intended to be illustrative only and not limiting. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims.

1‧‧‧Devices with mobile Internet access

2‧‧‧LTE network architecture

21‧‧‧LTE base station equipment

22‧‧‧Service gateway/separated data network gateway

3‧‧‧GSM/UMTS network architecture

31‧‧‧GSM/UMTS base station equipment

32‧‧‧ Radio Network Controller

33‧‧‧GPRS Service Node

34‧‧‧GPRS gateway node

4‧‧‧Network packet capture device

5‧‧‧Mobile Internet user immersive behavior analysis device

51‧‧‧User Mobile Behavior Analysis Module

52‧‧‧User online behavior analysis module

53‧‧‧Application Service Classification Smart Library Module

54‧‧‧Base station packet round-trip time analysis module

6‧‧‧Output inquiry device

Claims (10)

A mobile internet quality analysis system includes: one or more webpage packet capture devices for capturing user mobile internet packets and filtering out required information; one or more online user immersive behavior analysis devices for transmitting The required information analysis user immersive behavior and waiting time, and calculate the packet round-trip time between the base station and the service server of the user according to the user's mobile behavior, thereby generating an analysis result; and one or more output query devices, To store the analysis results and provide a graphical query interface. For example, the mobile internet quality analysis system described in claim 1 of the patent scope includes: the user behavior analysis module includes: a user mobile behavior analysis module, which is used to analyze the mobile station behavior of the user base station and the user; The module is used to integrate the encrypted and unencrypted user traffic packets from the user's point of view, so as to analyze the user's online behavior and calculate the waiting time; the application service classification smart library module is used to store the servo of the service server. Device location (IP), protocol type, service type and associated IP list, providing user online behavior analysis module identification packet association; and base station packet round-trip time analysis module to integrate user mobile behavior and user immersive Internet access Behavior, and calculate the packet round-trip time between the base station where the user is located and the service server. For example, the mobile Internet quality analysis system described in claim 2, wherein the user mobile behavior analysis module analyzes the user's mobile behavior through the packet time of the user traffic packet, the user IP and the base station IP, and provides the base station packet round trip. Time analysis module is used. For example, the mobile Internet quality analysis system described in claim 2, wherein the user online behavior analysis module analyzes the user traffic packet and uses the service server IP and the protocol type. Query the application service classification smart library module to obtain its service type and associated IP list, and integrate the traffic packets according to the IP information in the associated IP list to perform online immersive behavior analysis and calculate waiting time. For example, the mobile Internet quality analysis system described in claim 2, wherein the application service classification smart library module stores the service server location IP, the communication protocol type, and the service type and associated IP list for the user to analyze the online behavior model. Group queries to identify the association of user traffic packets. For example, the mobile internet quality analysis system described in claim 2, wherein the base station packet round-trip time analysis module confirms the user's simulated online behavior according to the analysis result of the user mobile behavior analysis module and the user online behavior analysis module. A list of base stations used, and a packet round trip time between the base station and the service server in the base station list. For example, the mobile Internet quality analysis system described in item 2 of the patent application scope, wherein the user waits for the online behavior of the simulated behavior, analyzes the online behavior of the user through the application service classification smart library information, and calculates the user's online behavior. The time it takes to start to end. For example, the mobile internet quality analysis system described in claim 2, wherein the packet round-trip time is based on the user's online behavior and the user's mobile behavior, and calculates the request packet and the corresponding response between the base station and the service server of the user from the perspective of the base station. An interval between packets. A mobile internet quality analysis method includes: capturing an action net packet and filtering out required information; analyzing the user's online behavior and waiting time in the required information, and calculating the user's base station and service according to the user's mobile behavior The round-trip time of the packet between the servers, which in turn produces an analysis result; The analysis results are stored and a graphical query interface is provided. For example, the mobile internet quality analysis method described in claim 9 further includes the following steps: analyzing the mobile behavior of the user at the base station where the user is located; and integrating a plurality of encrypted and unencrypted user traffic packets from the user perspective, The user analyzes the online behavior and calculates the waiting time; stores the server location (IP) of the service server, the type of the communication protocol, the service type and the associated IP list, and thereby identifies the packet association; and integrates the user's mobile behavior with The user simulates the behavior of the Internet and calculates the round-trip time of the packet between the base station where the user is located and the service server.