CN108093427B - VoLTE service quality evaluation method and system - Google Patents
VoLTE service quality evaluation method and system Download PDFInfo
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- CN108093427B CN108093427B CN201611038446.9A CN201611038446A CN108093427B CN 108093427 B CN108093427 B CN 108093427B CN 201611038446 A CN201611038446 A CN 201611038446A CN 108093427 B CN108093427 B CN 108093427B
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Abstract
The embodiment of the invention discloses a VoLTE service quality evaluation method and a system, wherein the method comprises the following steps: the system collects service quality data according to a preset time granularity; the system acquires each preset dimension parameter according to the service quality data; the system distributes weights to all preset dimension parameters to obtain quality evaluation values of all the preset dimension parameters; the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value, integrates multi-dimension indexes to improve the VoLTE service quality, and promotes the rapid development of the VoLTE service.
Description
Technical Field
The invention relates to the field of wireless communication, in particular to a VoLTE service quality evaluation method and a VoLTE service quality evaluation system.
Background
Volte (voice over Long Term evolution) is a development trend of mobile voice communication as a 4G-based call technology. The VoLTE service has been developed gradually in China, and it is an urgent need of telecommunication operators to pay attention to the quality of the VoLTE service and improve the satisfaction of users.
At present, no special assessment method exists for assessing VoLTE service quality, and the existing speech quality assessment method mainly comprises three modes of speech return visit, Perceptual Objective hearing quality assessment (POLQA, Perceptual Objective hearing quality assessment) (P.863) and G.107 (E-model). Wherein, the voice return visit is to capture the call data packet and evaluate the voice quality by hearing the data packet by human ears; the main principle of the POLQA (P.863) is that a sender sends a reference signal and a receiver carries out waveform comparison; g.107(E-model) evaluation principle is to calculate the R coefficient of the network transmission layer and derive the mean opinion value (MOS).
All the three methods are from the perspective of operators, and the quality of the call quality is measured by trying to simulate the call of a user or simply evaluate the waveform parameters of the call, so that the quality of the actual network end-to-end perception is difficult to really and comprehensively know.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention are expected to provide a method and a system for evaluating the quality of a VoLTE service, which integrate multidimensional indexes to improve the integrated quality of the VoLTE service and promote the rapid development of the VoLTE service.
The technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a VoLTE service quality assessment method, where the method is used in a VoLTE service quality assessment system, and the method includes:
the system collects service quality data according to a preset time granularity;
the system acquires each preset dimension parameter according to the service quality data;
the system distributes weights to the preset dimension parameters to obtain quality evaluation values of the preset dimension parameters;
and the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value.
In the scheme, the service quality sample data comprises call ticket information, network management statistical information and simulation dial testing information;
the call ticket information is used for acquiring user behavior information, and comprises network area information, call cell information and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal.
In the above scheme, the preset dimension parameters specifically include: user layer parameters, service layer parameters, equipment fault parameters in the network layer, and simulation dial test parameters in the network layer.
Further, the user layer is configured to analyze user behavior information and actively acquire user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
In the above scheme, the acquiring, by the system, each preset dimension parameter according to the service quality data specifically includes:
the system acquires user layer parameters according to the ticket information in the service quality data;
the system acquires service layer parameters according to network management statistical information in the service quality data;
the system acquires equipment fault parameters in a network layer according to network management statistical information in the service quality data;
the system acquires simulation dial testing parameters in a network layer according to the simulation dial testing information in the service quality data.
Further, the user layer parameter is specifically a user abnormal call rate;
the service layer parameter is specifically a key quality index KQI of the service layer; wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service; the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio of more than 3.0, IMS registration success rate, eSRCC switching delay-user plane and packet loss rate;
the equipment fault parameter is equipment fault alarm information which is obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
In the above scheme, the assigning, by the system, a weight to each preset dimension parameter, and acquiring the quality assessment value of each preset dimension parameter specifically includes:
the system distributes weights to user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
In the above scheme, the acquiring, by the system, a VoLTE service quality evaluation result according to a relationship between the quality evaluation value of each preset dimensional parameter and a preset threshold specifically includes:
the system compares the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
In a second aspect, an embodiment of the present invention provides a VoLTE service quality evaluation system, where the system includes: the system comprises a collection module, a first acquisition module, a second acquisition module and a third acquisition module; wherein the content of the first and second substances,
the collection module is used for collecting the service quality data according to the preset time granularity;
the first obtaining module is used for obtaining each preset dimension parameter according to the service quality data;
the second obtaining module is configured to assign a weight to each preset dimension parameter, and obtain a quality assessment value of each preset dimension parameter;
and the third acquisition module is used for acquiring a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value.
In the scheme, the service quality sample data comprises call ticket information, network management statistical information and simulation dial testing information;
the call ticket information is used for acquiring user behavior information, and comprises network area information, call cell information and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal.
In the above scheme, the preset dimension parameters specifically include: user layer parameters, service layer parameters, equipment fault parameters in the network layer, and simulation dial test parameters in the network layer.
Further, the user layer is configured to analyze user behavior information and actively acquire user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
In the above scheme, the first obtaining module includes a first obtaining submodule, a second obtaining submodule, a third obtaining submodule, and a fourth obtaining submodule; wherein the content of the first and second substances,
the first obtaining submodule is used for obtaining user layer parameters according to the ticket information in the service quality data;
the second obtaining submodule is used for obtaining service layer parameters according to the network management statistical information in the service quality data;
the third obtaining submodule is used for obtaining the equipment fault parameter in the network layer according to the network management statistical information in the service quality data;
and the fourth obtaining submodule is used for obtaining the simulation dial testing parameters in the network layer according to the simulation dial testing information in the service quality data.
Further, the user layer parameter is specifically a user abnormal call rate;
the service layer parameter is specifically a key quality index KQI of the service layer; wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service; the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio of more than 3.0, IMS registration success rate, eSRCC switching delay-user plane and packet loss rate;
the equipment fault parameter is equipment fault alarm information which is obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
In the foregoing solution, the second obtaining module is specifically configured to
And distributing weights to the user layer parameters, the service layer parameters, the equipment fault parameters in the network layer and the simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
In the foregoing solution, the third obtaining module is specifically configured to
And comparing the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
The embodiment of the invention provides a VoLTE service quality evaluation method and a VoLTE service quality evaluation system, wherein the system collects service quality data according to preset time granularity; the system acquires each preset dimension parameter according to the service quality data; the system distributes weights to the preset dimension parameters to obtain quality evaluation values of the preset dimension parameters; the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value, improves the VoLTE service quality by integrating multi-dimension indexes, and promotes the rapid development of the VoLTE service.
Drawings
Fig. 1 is a flowchart of a VoLTE service quality evaluation method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a system obtaining user layer parameters, service layer parameters, and network layer parameters according to an embodiment of the present invention;
fig. 3 is a specific flowchart of a VoLTE service quality evaluation method according to an embodiment of the present invention;
fig. 4 is a block diagram of a VoLTE service quality evaluation system according to an embodiment of the present invention;
fig. 5 is a block diagram of a structure of the first obtaining module according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Example one
Referring to fig. 1, a VoLTE service quality assessment method is shown, which is used in a VoLTE service quality assessment system, and includes:
s101: the system collects service quality data according to a preset time granularity;
s102: the system acquires each preset dimension parameter according to the service quality data;
s103: the system distributes weights to the preset dimension parameters to obtain quality evaluation values of the preset dimension parameters;
s104: and the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value.
For step S101, preferably, the service quality sample data includes ticket information, network management statistical information, and simulation dial test information;
the call ticket information is used for acquiring user behavior information, and comprises network area information, call cell information and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal;
further, the system can collect call ticket information, network management statistical information and simulation dial testing information according to days/weeks/months/quarters/years.
For step S102, the preset dimension parameters specifically include: user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial testing parameters in the network layer;
further, the user layer is configured to analyze user behavior information and actively acquire user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
For step S102, referring to fig. 2, the system obtains each preset dimension parameter according to the service quality data, and specifically includes:
s1021: the system acquires user layer parameters according to the ticket information in the service quality data;
s1022: the system acquires service layer parameters according to network management statistical information in the service quality data;
s1023: the system acquires equipment fault parameters in a network layer according to network management statistical information in the service quality data;
s1024: the system acquires simulation dial testing parameters in a network layer according to the simulation dial testing information in the service quality data.
For step S1021, specifically, the user layer refers to a microscopic level where the system stands at the angle of the user, and actively acquires user layer parameters corresponding to the user behavior information by analyzing the user behavior information;
preferably, the user layer parameter is specifically a user abnormal call rate; wherein, the calculation formula of the abnormal call rate of the user is shown as formula (1);
in the formula (1), S1Finding a voice quality problem after a user connects the VoLTE call in corresponding call bill information collected according to the preset time granularity, and hanging up the VoLTE call within the preset first threshold time;
S2finding the voice quality problem after the user connects the VoLTE call in the corresponding call bill information collected according to the preset time granularity, and mutually dialing within a preset second threshold value;
S3finding voice quality problems after a VoLTE call is connected by a user corresponding to the ticket information collected according to the preset time granularity, hanging up within the preset first threshold time and mutually dialing within the preset second thresholdThe number of times of (c);
and N corresponds to the total times of the user to switch on the VoLTE call in the ticket information collected according to the preset time granularity.
For step S1022, specifically, the service layer refers to a macro layer where the system station obtains a service layer parameter corresponding to the VoLTE service by analyzing VoLTE service information from the perspective of a network operator;
preferably, the service layer parameter is a Key quality index (KQI, Key QualityIndex) of the service layer;
wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service;
the KQI comprises: call completing rate, Call dropping rate, Call setup delay, MOS 3.0 or more ratio, IP Multimedia Subsystem (IMS) registration success rate, Enhanced Single Radio Voice Call Continuity (eSRVCC) success rate, eSRVCC handover delay-user plane and packet loss rate.
For step S1022, it should be noted that the system may directly read the data corresponding to the index included in the KQI;
further, the system takes the result of summing the indices included in the KQI through weight assignment as a service layer parameter.
For step S1023, specifically, the network layer refers to the angle of the system station at the network operator, and obtains the device fault parameter corresponding to the device fault information by analyzing the device fault information, and obtains the simulation dial test parameter corresponding to the simulation dial test information by analyzing the simulation dial test information;
preferably, the equipment fault parameter is equipment fault alarm information obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
further, the system can measure and count the equipment fault alarm amount and the fault alarm amount increase value;
further, the system takes the result obtained by the equipment fault alarm amount and the fault alarm amount amplification value according to a certain mathematical relation as the equipment fault parameter.
For step S1024, preferably, the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
For step S1024, it should be noted that the system may directly read data corresponding to the key dialing and testing index of the VoLTE service;
further, the system takes the summation result of the VoLTE service key dial-up test index weight distribution as a simulation dial-up test parameter.
For step S103, the system assigns weights to the preset dimension parameters, and acquiring the quality assessment value of each preset dimension parameter specifically includes:
the system distributes weights to user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
For step S103, it should be noted that the assignment of the weights to the user layer parameters, the service layer parameters, and the network layer parameters by the system is to adapt to the relative importance degree of the user layer, the service layer, and the network layer in the VoLTE call quality evaluation when performing VoLTE call quality evaluation in different areas.
For step S104, the system obtains a VoLTE service quality evaluation result according to a relationship between the quality evaluation value of each preset dimensional parameter and a preset threshold, specifically including:
the system compares the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
As for step S104, the system may set the same preset threshold for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, or may set different preset thresholds for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, which is not limited in the present invention.
In this embodiment, the analysis of the user layer is converted from a current passive analysis user behavior information mode into an active analysis user behavior data mode; the analysis of the service layer can reflect the user experience effect; the quality of the VoLTE service can be reflected by analyzing the network layer;
therefore, the system can reflect the quality of the VoLTE service more comprehensively by analyzing the user layer, the service layer and the network layer.
The embodiment provides a VoLTE service quality evaluation method, wherein the system collects service quality data according to a preset time granularity; the system acquires each preset dimension parameter according to the service quality data; the system distributes weights to the preset dimension parameters to obtain quality evaluation values of the preset dimension parameters; the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value, improves the VoLTE service quality by integrating multi-dimension indexes, and promotes the rapid development of the VoLTE service.
Example two
Based on the same technical concept of the foregoing embodiment, referring to fig. 3, a specific method for evaluating VoLTE service quality is shown, where the method includes:
s301: the system collects service quality data according to a preset time granularity; the service quality sample data comprises call ticket information, network management statistical information and simulation dial testing information;
s302: the system acquires user layer parameters according to the ticket information in the service quality data;
s303: the system acquires service layer parameters according to network management statistical information in the service quality data;
s304: the system acquires equipment fault parameters in a network layer according to network management statistical information in the service quality data;
s305: the system acquires simulation dial testing parameters in a network layer according to simulation dial testing information in the service quality data;
s306: the system distributes weights to user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial testing parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial testing quality evaluation value in the network layer;
s307: and the system compares the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
For step S301, the system may specifically collect call ticket information, network management statistical information, and simulation dial testing information according to day/week/month/quarter/year;
the call ticket information is used for acquiring user behavior information, and comprises network area information, call cell information and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal;
specifically, the simulation dial testing can be used for quick service verification and long-term verification after network cutover adjustment;
further, the simulation dial testing information can be obtained by simulating the VoLTE call and the operation condition of the equipment simulation testing network.
For step S302, the user layer is configured to analyze the user behavior information and actively obtain user layer parameters corresponding to the user behavior information.
Specifically, the user layer refers to a microscopic level where the system stands at the angle of a user and actively acquires user layer parameters corresponding to user behavior information by analyzing the user behavior information;
preferably, the user layer parameter is specifically a user abnormal call rate; wherein, the calculation formula of the abnormal call rate of the user is shown as formula (1);
in the formula (1), S1Finding a voice quality problem after a user connects the VoLTE call in corresponding call bill information collected according to the preset time granularity, and hanging up the VoLTE call within the preset first threshold time;
for example, the system counts the call quality problem of the user a and the user B due to the VoLTE, and when the call duration is less than 15S hang-up, calculates an average value of all VoLTE calls with the call duration less than 15S, and takes the average value as a first threshold time;
S2finding the voice quality problem after the user connects the VoLTE call in the corresponding call bill information collected according to the preset time granularity, and mutually dialing within a preset second threshold value;
for example, the system counts the call quality problem of the VoLTE between the user a and the user B, and when the hang-up duration is less than 10S, the call reestablishment duration, obtains an average value of all VoLTE calls with the hang-up duration less than 10S and with the call reestablishment duration, and takes the average value as the second threshold time;
S3finding voice quality problems after a VoLTE call is connected by a user corresponding to the call bill information collected according to the preset time granularity, hanging up the call in the preset first threshold time and mutually dialing the call times in the preset second threshold;
and N corresponds to the total times of the user to switch on the VoLTE call in the ticket information collected according to the preset time granularity.
For step S302, suppose that, for example, the user a makes a total of 25 calls to the user B in one month, where there are 8 call quality problems, where the first threshold time is 12S, the second threshold time is 9S, the call times of the user a and the user B for which the call duration is less than 12S are 4, the time interval between the user a and the user B for establishing the VoLTE call again is 2, and the user a and the user B communicate with each otherThe call duration is less than 12S hang-up, and the number of times of call reestablishment is 0 within the time interval of less than 9S, then the abnormal call rate of the user
For step S303, the service layer is configured to analyze VoLTE service information and obtain a service layer parameter corresponding to the VoLTE service;
specifically, the service layer refers to a macro layer of service layer parameters corresponding to the VoLTE service, which is obtained by analyzing VoLTE service information from the perspective of the network operator of the system station;
preferably, the service layer parameter is specifically a KQI of the service layer;
wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service;
the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio above 3.0, IMS registration success rate, eSRCC switching delay-user plane and packet loss rate.
For step S303, it should be noted that the system may directly read data corresponding to the index included in the KQI;
further, the system takes the result of summing the indices included in the KQI through weight assignment as a service layer parameter.
For step S304, the network layer is configured to analyze the device failure information and obtain a device failure parameter corresponding to the device failure information;
the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information;
specifically, the network layer refers to an angle of the system standing on a network operator, and obtains an equipment fault parameter corresponding to the equipment fault information by analyzing the equipment fault information, and obtains a simulation dial test parameter corresponding to the simulation dial test information by analyzing the simulation dial test information;
preferably, the equipment fault parameter is equipment fault alarm information obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
further, the system can measure and count the equipment fault alarm amount and the fault alarm amount increase value;
further, the system takes the result obtained by the equipment fault alarm amount and the fault alarm amount amplification value according to a certain mathematical relation as the equipment fault parameter.
For step S304, for example, if the system counts that the number of failed alarms of the device in the area a is 8 times in 8 months and 5 times in 7 months, then the number of failed alarms of the device in 8 months is 8 and the number of failed alarms is increased by 3, the system may increase the device failure parameters according to: alarm quantity x k for equipment fault1+ fault alarm volume amplification xk2Is obtained in a manner that k is1And k2Two weight parameters.
For step S305, preferably, the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
For step S305, it should be noted that the system may directly read data corresponding to the VoLTE service key dialing and testing index;
further, the system takes the summation result of the VoLTE service key dial-up test index weight distribution as a simulation dial-up test parameter.
For step S306, it should be noted that the assignment of the weights to the user layer parameters, the service layer parameters, and the network layer parameters by the system is to adapt to the relative importance degree of the user layer, the service layer, and the network layer in the VoLTE call quality evaluation when performing VoLTE call quality evaluation in different areas.
In step S307, the system may set the same preset threshold for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, or may set different preset thresholds for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, which is not limited in the present invention.
In this embodiment, the analysis of the user layer is converted from a current passive analysis user behavior information mode into an active analysis user behavior data mode; the analysis of the service layer can reflect the user experience effect; the quality of the VoLTE service can be reflected by analyzing the network layer;
therefore, the system can reflect the quality of the VoLTE service more comprehensively by analyzing the user layer, the service layer and the network layer.
The embodiment provides a specific method for evaluating VoLTE service quality, wherein the system collects service quality data according to a preset time granularity; the service quality sample data comprises call ticket information, network management statistical information and simulation dial testing information; the system acquires user layer parameters according to the ticket information in the service quality data; the system acquires service layer parameters according to network management statistical information in the service quality data; the system acquires equipment fault parameters in a network layer according to network management statistical information in the service quality data; the system acquires simulation dial testing parameters in a network layer according to simulation dial testing information in the service quality data; the system distributes weights to the user layer parameters, the service layer parameters, the equipment fault parameters in the network layer and the simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer; the system compares the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result, integrates the multi-dimensional indexes to improve the VoLTE service quality, and promotes the rapid development of the VoLTE service.
EXAMPLE III
Referring to fig. 4, a structure of a VoLTE service quality evaluation system 40 is shown, which includes: a collection module 401, a first obtaining module 402, a second obtaining module 403 and a third obtaining module 404; wherein the content of the first and second substances,
the collecting module 401 is configured to collect service quality data according to a preset time granularity;
the first obtaining module 402 is configured to obtain each preset dimension parameter according to the service quality data;
the second obtaining module 403 is configured to assign a weight to each preset dimension parameter, and obtain a quality assessment value of each preset dimension parameter;
the third obtaining module 404 is configured to obtain a VoLTE service quality evaluation result according to a relationship between the quality evaluation value of each preset dimension parameter and a preset threshold.
For the collection module 401, preferably, the service quality sample data includes ticket information, network management statistical information, and simulation dial test information;
the call ticket information is used for acquiring user behavior information, and comprises network area information, call cell information and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal;
further, the collection module 401 is specifically configured for
And according to day/week/month/quarter/year, collecting call ticket information, network management statistical information and simulation dial testing information.
For the first obtaining module 402, the preset dimension parameters specifically include: user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial testing parameters in the network layer;
further, the user layer is configured to analyze user behavior information and actively acquire user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
As for the first acquisition module 402, as shown in fig. 5, the first acquisition module 402 includes a first acquisition sub-module 4021, a second acquisition sub-module 4022, a third acquisition sub-module 4023, and a fourth acquisition sub-module 4024; wherein the content of the first and second substances,
the first obtaining sub-module 4021 is configured to obtain a user layer parameter according to the ticket information in the service quality data;
the second obtaining sub-module 4022 is configured to obtain a service layer parameter according to the network management statistical information in the service quality data;
the third obtaining sub-module 4023 is configured to obtain an equipment failure parameter in a network layer according to the network management statistical information in the service quality data;
the fourth obtaining sub-module 4024 is configured to obtain a simulation dial testing parameter in the network layer according to the simulation dial testing information in the service quality data.
For the first obtaining sub-module 4021, specifically, the user layer refers to a microscopic level where the first obtaining sub-module 4021 stands at the angle of the user, and actively obtains the user layer parameters corresponding to the user behavior information by analyzing the user behavior information;
preferably, the user layer parameter is specifically a user abnormal call rate; wherein, the calculation formula of the abnormal call rate of the user is shown as formula (1);
in the formula (1), S1Finding a voice quality problem after a user connects the VoLTE call in corresponding call bill information collected according to the preset time granularity, and hanging up the VoLTE call within the preset first threshold time;
S2corresponding to the times that the user finds the voice quality problem after the VoLTE call is connected in the ticket information collected according to the preset time granularity and dials each other within the preset second threshold valueCounting;
S3finding voice quality problems after a VoLTE call is connected by a user corresponding to the call bill information collected according to the preset time granularity, hanging up the call in the preset first threshold time and mutually dialing the call times in the preset second threshold;
and N corresponds to the total times of the user to switch on the VoLTE call in the ticket information collected according to the preset time granularity.
For the second obtaining sub-module 4022, specifically, the service layer refers to a macro layer where the second obtaining sub-module 4022 stands at the angle of a network operator, and obtains service layer parameters corresponding to the VoLTE service by analyzing VoLTE service information;
preferably, the service layer parameter is specifically a KQI of the service layer;
wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service;
the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio above 3.0, IMS, registration success rate, eSRCC switching delay-user plane and packet loss rate.
For the second obtaining submodule 4022, it should be noted that the second obtaining submodule 4022 may be configured to directly read data corresponding to an indicator included in the KQI;
further, the second obtaining sub-module 4022 may be further configured to use a result of summing indexes included in the KQI through weight distribution as a service layer parameter.
For the third obtaining sub-module 4023, specifically, the network layer refers to an angle of a network operator where the third obtaining sub-module 4023 stands, obtains an equipment fault parameter corresponding to the equipment fault information by analyzing the equipment fault information, and obtains a simulation dial test parameter corresponding to the simulation dial test information by analyzing the simulation dial test information;
preferably, the equipment fault parameter is equipment fault alarm information obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
further, the third obtaining sub-module 4023 may be configured to measure and count a device fault alarm amount and a fault alarm amount increase value;
further, the third obtaining sub-module 4023 may be further configured to use a result obtained by using the device fault alarm amount and the fault alarm amount amplification value according to a certain mathematical relationship as a device fault parameter.
For the fourth obtaining sub-module 4024, preferably, the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
As for the fourth obtaining module 4024, it should be noted that the fourth obtaining module 4024 may be configured to directly read data corresponding to the VoLTE service key dialing and testing index;
further, the fourth obtaining module 4024 may be further configured to use a summation result obtained after assigning a weight to the VoLTE service key dial test indicator as a simulation dial test parameter.
The second obtaining module 403 is specifically configured to
And distributing weights to the user layer parameters, the service layer parameters, the equipment fault parameters in the network layer and the simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
For the second obtaining module 403, it should be noted that the assignment of the weights to the user layer parameter, the service layer parameter, and the network layer parameter by the second obtaining module 403 is to adapt to the relative importance degree of the user layer, the service layer, and the network layer in the VoLTE call quality evaluation when performing VoLTE call quality evaluation in different areas.
The third obtaining module 404 is specifically configured to
And comparing the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
It should be noted that, the third obtaining module 404 may set the same preset threshold for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, or may set different preset thresholds for the user layer quality assessment value, the service layer quality assessment value, and the network layer quality assessment value, which is not limited in the present invention.
In this embodiment, the analysis of the user layer is converted from a current passive analysis user behavior information mode into an active analysis user behavior data mode; the analysis of the service layer can reflect the user experience effect; the quality of the VoLTE service can be reflected by analyzing the network layer;
therefore, the system can reflect the quality of the VoLTE service more comprehensively by analyzing the user layer, the service layer and the network layer.
The embodiment provides a VoLTE service quality evaluation system, where the collection module 401 is configured to collect service quality data according to a preset time granularity; the first obtaining module 402 is configured to obtain each preset dimension parameter according to the service quality data; the second obtaining module 403 is configured to assign a weight to each preset dimension parameter, and obtain a quality assessment value of each preset dimension parameter; the third obtaining module 404 is configured to obtain a VoLTE service quality evaluation result according to a relationship between the quality evaluation value of each preset dimensional parameter and a preset threshold, improve the VoLTE service quality by integrating multidimensional indexes, and promote rapid development of the VoLTE service.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (14)
1. A VoLTE service quality assessment method is used for a VoLTE service quality assessment system, and comprises the following steps:
the system collects service quality data according to a preset time granularity, wherein the service quality data comprises call ticket information, network management statistical information and simulation dial testing information;
the system acquires all preset dimension parameters according to the service quality data, wherein the all preset dimension parameters comprise user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial testing parameters in the network layer, and the user layer parameters are abnormal call rate of users;
the system distributes weights to the preset dimension parameters to obtain quality evaluation values of the preset dimension parameters;
and the system acquires a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value.
2. The method of claim 1, wherein the ticket information is used to obtain user behavior information, and the ticket information includes network area information, call cell information, and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal.
3. The method according to claim 1, wherein the user layer is configured to analyze user behavior information and actively obtain user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
4. The method according to claim 1, wherein the system obtains each preset dimension parameter according to the service quality data, and specifically includes:
the system acquires user layer parameters according to the ticket information in the service quality data;
the system acquires service layer parameters according to network management statistical information in the service quality data;
the system acquires equipment fault parameters in a network layer according to network management statistical information in the service quality data;
the system acquires simulation dial testing parameters in a network layer according to the simulation dial testing information in the service quality data.
5. The method according to claim 4, wherein the service layer parameter is specifically a key quality indicator, KQI, of the service layer; wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service; the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio of more than 3.0, IMS registration success rate, eSRCC switching delay-user plane and packet loss rate;
the equipment fault parameter is equipment fault alarm information which is obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
6. The method according to claim 1, wherein the system assigns weights to the preset dimension parameters, and the obtaining the quality assessment value of each preset dimension parameter specifically includes:
the system distributes weights to user layer parameters, service layer parameters, equipment fault parameters in a network layer and simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
7. The method according to claim 1, wherein the system obtains a VoLTE service quality evaluation result according to a relationship between the quality evaluation value of each preset dimension parameter and a preset threshold, and specifically includes:
the system compares the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
8. A VoLTE quality of service evaluation system, the system comprising: the system comprises a collection module, a first acquisition module, a second acquisition module and a third acquisition module; wherein the content of the first and second substances,
the collection module is used for collecting service quality data according to a preset time granularity, wherein the service quality data comprises call ticket information, network management statistical information and simulation dial testing information;
the first obtaining module is used for obtaining each preset dimension parameter according to the service quality data, wherein each preset dimension parameter comprises a user layer parameter, a service layer parameter, an equipment fault parameter in a network layer and a simulation dial test parameter in the network layer, and the user layer parameter is an abnormal call rate of a user;
the second obtaining module is configured to assign a weight to each preset dimension parameter, and obtain a quality assessment value of each preset dimension parameter;
and the third acquisition module is used for acquiring a VoLTE service quality evaluation result according to the relation between the quality evaluation value of each preset dimension parameter and a preset threshold value.
9. The system of claim 8, wherein the ticket information is used to obtain user behavior information, and the ticket information includes network area information, call cell information, and user information of a call terminal;
the network management statistical information is used for acquiring VoLTE service information and equipment fault information, and the network management statistical information comprises network area information and call cell information;
the simulation dial testing information is used for acquiring simulation dial testing information, and the simulation dial testing information comprises network area information, call cell information and user information of a call terminal.
10. The system according to claim 8, wherein the user layer is configured to analyze user behavior information and actively obtain user layer parameters corresponding to the user behavior information;
the service layer is used for analyzing the VoLTE service information and acquiring service layer parameters corresponding to the VoLTE service;
the network layer is used for analyzing the equipment fault information and acquiring equipment fault parameters corresponding to the equipment fault information;
and the simulation dial testing device is used for analyzing the simulation dial testing information and acquiring simulation dial testing parameters corresponding to the simulation dial testing information.
11. The system of claim 8, wherein the first obtaining module comprises a first obtaining sub-module, a second obtaining sub-module, a third obtaining sub-module, and a fourth obtaining sub-module; wherein the content of the first and second substances,
the first obtaining submodule is used for obtaining user layer parameters according to the ticket information in the service quality data;
the second obtaining submodule is used for obtaining service layer parameters according to the network management statistical information in the service quality data;
the third obtaining submodule is used for obtaining the equipment fault parameter in the network layer according to the network management statistical information in the service quality data;
and the fourth obtaining submodule is used for obtaining the simulation dial testing parameters in the network layer according to the simulation dial testing information in the service quality data.
12. The system according to claim 8, wherein the service layer parameter is specifically a key quality indicator, KQI, of the service layer; wherein the VoLTE service information comprises: registering, continuing, keeping/switching and canceling the VoLTE service; the KQI comprises: call completing rate, call drop rate, call setup delay, MOS ratio of more than 3.0, IMS registration success rate, eSRCC switching delay-user plane and packet loss rate;
the equipment fault parameter is equipment fault alarm information which is obtained by the same area according to a preset time granularity; wherein, equipment trouble alarm information includes: equipment fault alarm amount and fault alarm amount are amplified;
the simulation dial testing parameter is a VoLTE service key dial testing index; the key dialing and testing indexes of the VoLTE service specifically comprise: and 5 indexes of attachment time delay, attachment success rate, registration success rate, call response time delay and call success rate.
13. The system of claim 11, wherein the second obtaining module is specifically configured to:
and distributing weights to the user layer parameters, the service layer parameters, the equipment fault parameters in the network layer and the simulation dial-up test parameters in the network layer to obtain a user layer quality evaluation value, a service layer quality evaluation value, an equipment fault quality evaluation value in the network layer and a simulation dial-up test quality evaluation value in the network layer.
14. The system of claim 8, wherein the third obtaining module is specifically configured to:
and comparing the user layer quality evaluation value, the service layer quality evaluation value, the equipment fault quality evaluation value in the network layer and the simulation dial-up quality evaluation value in the network layer with a preset threshold value to obtain a VoLTE service quality evaluation result.
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| CN109147822B (en) * | 2018-10-26 | 2023-05-09 | 上海创远仪器技术股份有限公司 | System and method for VOLTE voice recording and voice quality evaluation |
| CN109921941B (en) * | 2019-03-18 | 2021-09-17 | 腾讯科技（深圳）有限公司 | Network service quality evaluation and optimization method, device, medium and electronic equipment |
| CN110933234B (en) * | 2019-11-18 | 2021-04-27 | 武汉绿色网络信息服务有限责任公司 | Automatic delimiting method and device for VoLTE call quality problem |
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| CN102546220B (en) * | 2010-12-31 | 2014-09-03 | 中国移动通信集团福建有限公司 | Key quality indicator (KQI) composition method based on service characteristics |
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