CN113840316B - Wireless network maintenance method, device, equipment and computer readable storage medium - Google Patents
Wireless network maintenance method, device, equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN113840316B CN113840316B CN202111158144.6A CN202111158144A CN113840316B CN 113840316 B CN113840316 B CN 113840316B CN 202111158144 A CN202111158144 A CN 202111158144A CN 113840316 B CN113840316 B CN 113840316B
- Authority
- CN
- China
- Prior art keywords
- wireless network
- cei
- value
- determining
- cell
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000011156 evaluation Methods 0.000 claims description 8
- 230000007935 neutral effect Effects 0.000 claims description 4
- 230000008447 perception Effects 0.000 abstract description 8
- 208000025779 tropical pancreatitis Diseases 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 238000005457 optimization Methods 0.000 description 5
- 238000011835 investigation Methods 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 208000035475 disorder Diseases 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 208000018910 keratinopathic ichthyosis Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a wireless network maintenance method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring operation parameters and network parameters corresponding to User Equipment (UE) in a cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the UE is paired; determining a first CEI value of each UE according to the network parameters and the operation parameters corresponding to each UE; determining whether the wireless network of the cell requires maintenance according to the number of the first CEI values smaller than the preset CEI value. In the invention, the user experience index CEI value is obtained through the operation parameters of the UE operation various application programs of the wireless network and the network parameters of the wireless network, namely the perception and experience of the UE equipment on the wireless network are objectively obtained, so that whether the wireless network needs to be maintained or not is accurately judged based on the CEI value, and the judgment precision of whether the wireless network needs to be maintained or not is improved.
Description
Technical Field
The present invention relates to network maintenance technologies, and in particular, to a wireless network maintenance method, device, apparatus, and computer readable storage medium.
Background
With the development of network technology, people can connect intelligent equipment with a wireless network at any time and any place, so that people can conveniently and freely surf the internet.
With the update of network technology, the wireless network needs to be maintained in terms of network optimization and the like. And the aspect of deciding that the wireless network needs maintenance is determined by the user's experience and perception of the wireless network. For example, users generally feel that there is a large delay in a wireless network, and thus, it is necessary to optimize the data transmission rate of the wireless network.
At present, the experience and perception of the user can be obtained through telephone investigation, short message investigation, active complaint of the user and other modes. It can be seen that the evaluation of wireless network usage is based on subjective feelings of users, and the subjective feelings of users are not universal, so that there is a case of maintaining a wireless network without problems, and the accuracy of judging whether the wireless network needs maintenance is low.
Disclosure of Invention
The invention provides a wireless network maintenance method, a wireless network maintenance device, wireless network maintenance equipment and a computer readable storage medium, which are used for solving the problem of low judgment precision of whether a wireless network needs maintenance.
In one aspect, the present invention provides a wireless network maintenance method, including:
Acquiring operation parameters and network parameters corresponding to User Equipment (UE) in a cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the network parameters corresponding to the UE are network parameters of the cell when the UE operates the various application programs;
Determining a first CEI value of each UE according to the network parameters and the operation parameters corresponding to each UE;
And determining whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than a preset CEI value.
Optionally, the step of determining whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than a preset CEI value includes:
determining a second CEI value corresponding to the cell according to each first CEI value;
Acquiring a complaint duty ratio of the wireless network, wherein the complaint duty ratio is a ratio of the number of users complaining the wireless network to the total number of users in the cell;
Determining a first number of UEs rated as unsatisfactory for the wireless network according to the number of the first CEI values smaller than a preset CEI value;
and when the ratio of the first quantity to the total quantity of the UE is greater than a first preset threshold value, the second CEI value is greater than a second preset threshold value and the complaint duty ratio is greater than a preset duty ratio, determining that the wireless network of the cell needs maintenance.
Optionally, after the step of determining that the wireless network of the cell needs maintenance, the method further includes:
determining a ratio of the first number to the total number of UEs, the second CEI value, and a first weight corresponding to the complaint duty cycle, respectively;
Weighting and calculating the ratio of the first quantity to the total quantity of the UE, the second CEI value and the complaint duty ratio according to the first weights to obtain the score of the cell;
and determining a maintenance scheme of the wireless network according to the interval where the score is located.
Optionally, the step of determining the second CEI value corresponding to the cell according to each of the first CEI values includes:
Determining a second weight of a first CEI value corresponding to each UE according to the flow used by each UE in the cell;
and according to each second weight, weighting and calculating each first CEI value to obtain a second CEI value corresponding to the cell.
Optionally, the step of determining the first CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE includes:
Determining a first index value of each operation parameter of the UE and a second index value of each network parameter, wherein the index values comprise key quality index KQI values and/or key performance index KPI values;
Determining a QoE (quality of experience) index value corresponding to each type of application program according to a first index value of an operation parameter of each application program belonging to the same type and each second index value;
and according to the third weight corresponding to each type of application program, carrying out weighted calculation on each QoE value to obtain a first CEI value corresponding to the UE.
Optionally, the step of determining the QoE value of the quality of experience index corresponding to each application program according to the first index value and each second index value of the operation parameter of each application program belonging to the same type includes:
Acquiring a fourth weight corresponding to each application program belonging to the same type, and determining a fifth weight corresponding to each second index value;
And according to the fifth weights and the fourth weights, carrying out weighted calculation on the second index values and the first index values of the application programs belonging to the same type, and obtaining QoE values of the quality of experience indexes corresponding to the application programs of each type.
Optionally, the step of determining the first index value of each of the operation parameters of the UE and the second index value of each of the network parameters includes:
determining an original index value corresponding to each operation parameter and an original index value corresponding to each network parameter;
and determining the score of the bin in which the original index value corresponding to the operating parameter is located as a first index value corresponding to the operating parameter, and determining the score of the bin in which the original index value corresponding to the network parameter is located as a second index value corresponding to the network parameter.
In another aspect, the present invention provides a wireless network maintenance apparatus, including:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring operation parameters and network parameters corresponding to User Equipment (UE) in a cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the network parameters corresponding to the UE are network parameters of the cell when the UE operates the various application programs;
The determining module is used for determining a first CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE;
The determining module is further configured to determine whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than a preset CEI value.
In another aspect, the present invention provides a wireless network maintenance apparatus, comprising: a memory and a processor;
The memory stores computer-executable instructions;
the processor executes the computer-executable instructions stored by the memory to cause the processor to perform the wireless network maintenance method as described above.
In another aspect, the present invention provides a computer-readable storage medium having stored therein computer-executable instructions for implementing a wireless network maintenance method as described above when executed by a processor.
The wireless network maintenance method, the device, the equipment and the computer readable storage medium provided by the invention acquire the operation parameters generated by the operation of various application programs by the user equipment UE of the wireless network using the cell and the network parameters of the cell when the UE operates various operation programs, and determine the user experience index CEI value of each UE according to the network parameters and the operation parameters corresponding to each UE, thereby determining whether the wireless network needs maintenance according to the quantity of CEI values smaller than the pre-CEI value. In the invention, the user experience index CEI value is obtained through the operation parameters of the UE operation various application programs of the wireless network and the network parameters of the wireless network, namely the perception and experience of the UE equipment on the wireless network are objectively obtained, so that whether the wireless network needs to be maintained or not is accurately judged based on the CEI value, and the judgment precision of whether the wireless network needs to be maintained or not is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a system architecture diagram of a method of implementing wireless network maintenance in accordance with the present invention;
fig. 2 is a flowchart of a first embodiment of a wireless network maintenance method according to the present invention;
fig. 3 is a schematic diagram of a refinement flow of step S30 in the second embodiment of the wireless network maintenance method of the present invention;
Fig. 4 is a schematic diagram of a refinement flow of step S20 in the third embodiment of the wireless network maintenance method of the present invention;
fig. 5 is a schematic block diagram of a wireless network maintenance device according to the present invention;
fig. 6 is a schematic diagram of a hardware structure of the wireless network maintenance device according to the present invention.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The invention provides a wireless network maintenance method which can be realized through a system framework diagram shown in fig. 1. As shown in fig. 1, the base station provides a wireless network to the cell so that the user equipment UE of the cell can surf the internet through the wireless network (the dotted line indicates that the base station provides the wireless network to the UE). When it is required to determine whether the wireless network of the cell needs maintenance, a wireless network maintenance device (not labeled) acquires operation parameters and network parameters corresponding to a UE (User Experience, abbreviated as UE, user equipment) in the cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the UE running various application programs, and the network parameters corresponding to the UE are network parameters of the cell when the UE runs various application programs; the wireless network maintenance device determines a first CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE, and finally determines whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than the preset CEI value (the number of the first CEI values smaller than the preset CEI value is the number of the UE which is evaluated as unsatisfactory to the wireless network). The wireless network maintenance device may be a base station or other terminals with data processing capability.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a first embodiment of the wireless network maintenance method according to the present invention, the wireless network maintenance method includes the following steps:
Step S10, operation parameters and network parameters corresponding to User Equipment (UE) in a cell are obtained, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the network parameters corresponding to the UE are network parameters of the cell when the UE operates the various application programs.
In this embodiment, the execution subject is a wireless network maintenance device, and for convenience of description, the device is referred to as a wireless network maintenance device.
When it is required to determine whether the wireless network of the cell needs maintenance, the device needs to acquire data, that is, acquire the operation parameters and the network parameters corresponding to the UE in the cell. Specifically, the data to be acquired includes experience index data, business index data and pipeline index data of the user for surfing the internet by adopting the user equipment. The experience index data refers to operation parameters generated by the UE running the application programs such as Internet surfing, time frequency, games, short videos, voices and the like, namely the operation parameters corresponding to the UE refer to operation parameters generated by the UE running various operation application programs. For example, the operation parameters of the application program of the internet class include page response time delay, page download rate and page response success rate; the operation parameters of the video application program comprise a starting time delay and an effective video downloading rate; the running parameters of the application program of the file access class comprise file sharing/multimedia response time delay and file sharing/multimedia uploading or downloading rate; the operation parameters of the application program of the short video class comprise short video starting time delay and effective downloading rate of a pipeline; the operating parameters of the game-like application include game play time delay.
The business index data and the pipeline index data refer to network parameters of a cell when the UE runs various application programs, namely the network parameters corresponding to the UE. The traffic index data and pipe index data include DNS (Domain NAME SERVER, monitoring DNS, domain name server)/TCP (Transmission Control Protocol, abbreviated as TCP, transmission control protocol) layer index and TCP layer delimitation class parameters. The DNS/TCP layer indexes include network parameters such as DNS success rate, DNS delay, TCP establishment success rate, TCP packet loss rate, TCP retransmission rate, TCP disorder rate, RTT (Round-Trip Time), data transmission RTT, and user effective rate (bandwidth). The TCP layer delimitation class parameters comprise network parameters such as server packet sending time delay, server sending window, terminal receiving window, terminal dynamic receiving window, terminal request response time delay, interface packet loss rate, interface downlink data transmission RTT, interface disorder rate, interface packet loss rate, interface uplink data transmission RTT, interface disorder rate and the like.
The operation parameters generated by the operation of various application programs of the UE can be collected through a wireless service experience data platform, and the network parameters can be directly obtained through a background server of the base station.
Step S20, according to the network parameters and the operation parameters corresponding to each UE, determining a first user experience index CEI value of each UE.
The device can construct an index value based on the network parameters and the operation parameters corresponding to the UE, wherein the index value comprises a KPI (Key Performance Indicator, referred to as KPI for short), a KQI (Key Quality Indicator, referred to as KQI for short, referred to as key quality index) value, or a KQI and KPI. KPIs and KQIs are two different levels of metrics that measure wireless network metrics.
Each UE has a corresponding index value, and the apparatus obtains a scaling relation between the index value and a CEI (Customer Experience Indicators, abbreviated as CEI, user experience index) value, and then determines the CEI value of the UE by the scaling relation and the index value of the UE. The CEI value of the UE is defined as a first CEI value. The smaller the first CEI value, the worse the experience for the user when the UE uses the wireless network. For example, if the first CEI is within the [ -0.85,0.64] interval, the UE's evaluation of the wireless network is unsatisfactory; if the first CEI is located (0.64,0.76), the UE's evaluation of the wireless network is neutral (neutral, e.g., acceptable, good); if the first CEI is located at [0.76,1.73], the UE evaluates to satisfaction with the wireless network. In this embodiment, the device determines the upper limit value corresponding to the unsatisfactory interval as the preset CEI value, for example, 0.64 is used as the preset CEI value, and the device obtains the number of the first CEI values smaller than the preset CEI value.
The intervals may be obtained by binning the respective first CEI values. Specifically, the maximum first CEI and the minimum first CEI are determined first, and the difference between the maximum first CEI value and the minimum first CEI value is divided into three sub-boxes according to 50% satisfaction, 30% neutrality and 20% dissatisfaction, wherein the upper limit value of the interval corresponding to the first sub-box is the maximum first CEI, and the lower limit value is the maximum first CEI minus 50% of the difference; the upper limit value of the interval corresponding to the second sub-box is 50% of the maximum first CEI minus the difference value, and the lower limit value is 70% of the maximum first CEI minus the difference value; the third bin corresponds to a section having a first CEI value with the largest upper limit less 70% of the difference and the smallest lower limit.
Step S30, determining whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than the preset CEI value.
The number of first CEI values smaller than the preset CEI value characterizes a number of UEs that are rated as unsatisfactory for the wireless network, from which the device can determine whether the wireless network of the cell requires maintenance. For example, the device may calculate an unsatisfactory duty cycle (a ratio of the number of UEs evaluated as unsatisfactory by the wireless network to the total number of UEs is the unsatisfactory duty cycle), determine that the wireless network needs maintenance if the duty cycle is greater than a preset duty cycle, and determine that the wireless network does not need maintenance if the duty cycle is less than or equal to the preset duty cycle.
In the technical solution provided in this embodiment, an operation parameter generated by a user equipment UE running various applications of a wireless network using a cell and a network parameter of the cell when the UE runs various operation programs are obtained, and a user experience index CEI value of each UE is determined according to the network parameter and the operation parameter corresponding to each UE, so that whether the wireless network needs maintenance is determined according to the number of CEI values smaller than the pre-CEI value. In the invention, the user experience index CEI value is obtained through the operation parameters of the UE operation various application programs of the wireless network and the network parameters of the wireless network, namely the perception and experience of the UE equipment on the wireless network are objectively obtained, so that whether the wireless network needs to be maintained or not is accurately judged based on the CEI value, and the judgment precision of whether the wireless network needs to be maintained or not is improved.
Referring to fig. 3, fig. 3 is a second embodiment of a maintenance method of a wireless network according to the present invention, based on the first embodiment, step S30 includes:
Step S31, determining a second CEI value corresponding to the cell according to each first CEI value.
In this embodiment, after obtaining the first CEI value corresponding to each UE, the apparatus needs to calculate the second CEI value of the cell according to each first CEI. Specifically, the sum of the first CEI values is obtained first, and then divided by the total number of UEs, so as to obtain the second CEI value of the cell.
Furthermore, the apparatus may set a weight of each UE. Specifically, the device may obtain the traffic of the UE in the cell, and if the traffic of the UE is greater, it may indicate that the UE is a resident UE of the cell, that is, the user of the UE is the owner of the cell, then the weight setting of the UE is greater. The smaller the traffic used by the UE, the more likely the UE user is a guest, and the experience perception of the UE is not universal, so that the weight of the UE is set smaller. The apparatus determines a weight corresponding to a first CEI value for each UE based on a traffic volume used by each UE in the cell, the weight corresponding to the first CEI being defined as a second weight. And the device performs weighted calculation on each first CEI value according to each second weight to obtain a total CEI value.
Step S32, acquiring the complaint duty ratio of the wireless network, wherein the complaint duty ratio is the ratio of the number of users of the complaint wireless network to the total number of users of the cell.
The device obtains a complaint duty cycle of the wireless network, the complaint duty cycle being a ratio of a number of users of the complaint wireless network to a total number of users of the cell. Specifically, questionnaires can be issued to users in the cell for investigation, so that the number of users of the complaint wireless network can be obtained based on the questionnaires, and the total number of users divided by the number of users is the complaint duty ratio.
Step S33, determining a first number of UEs that evaluate as unsatisfactory to the wireless network according to the number of first CEI values smaller than the preset CEI value.
The apparatus determines a first number of CEI values that is less than the CEI value, which is a first number of UEs evaluating wireless network dissatisfaction.
In step S34, when the ratio of the first number to the total number of UEs is greater than the first preset threshold, the second CEI value is greater than the second preset threshold, and the complaint duty cycle is greater than the preset duty cycle, it is determined that the wireless network of the cell needs maintenance.
In this embodiment, if the second preset threshold is a threshold set based on the average value of the CEIs of the measured cells, the total CEI value divided by the total number of UEs is the second CEI value corresponding to the current cell, and if the second preset threshold is not a threshold set based on the average value of the CEIs of the measured cells, the total CEI value is the second CEI value corresponding to the current cell.
The second CEI value of the cell represents comprehensive evaluation of all the UE (user equipment) in the cell on the wireless network, the ratio of the first quantity to the total quantity of the UE represents the ratio of the UE which is evaluated as unsatisfactory on the wireless network, and the complaint ratio represents the dissatisfaction of the user on the wireless network; the first two are objective experience and perception of the UE on the wireless network, the last one is subjective experience and perception of the UE on the wireless network, and the device can accurately determine whether the wireless network needs maintenance or not based on the three.
Specifically, when the ratio of the first number to the total number of UEs is greater than a first preset threshold, the second CEI value is greater than a second preset threshold, and the complaint duty cycle is greater than a preset duty cycle, it is determined that the wireless network of the cell needs maintenance.
In the technical solution provided in this embodiment, the apparatus accurately determines whether the wireless network needs maintenance based on the second CEI value of the cell, the complaint duty ratio, and the number of the first CEIs smaller than the preset CEI value.
In one embodiment, after step S34, the method further includes:
Respectively determining a ratio of the first quantity to the total quantity of the UE, a second CEI value and a first weight corresponding to the complaint duty ratio;
according to each first weight, carrying out weighted calculation on the ratio of the first quantity to the total quantity of the UE, the second CEI value and the complaint duty ratio to obtain the fraction of the cell;
and determining a maintenance scheme of the wireless network according to the interval in which the score is located.
In this embodiment, if the ratio of the first number to the total number of UEs is greater than the first preset threshold, the second CEI value is greater than the second preset threshold, and the complaint duty ratio is greater than the preset duty ratio, the cell is a poor quality cell, and maintenance is required. The maintenance scheme comprises four schemes of maintenance, optimization, capacity expansion and construction. The maintenance is to detect the fault of the network equipment; the optimization is the upgrade optimization of the network equipment; the expansion is to expand the capacity of the network equipment; the construction requirement refers to the construction requirement of adding network equipment or other equipment.
Specifically, when the wireless network needs to be maintained, the device obtains a ratio (the ratio is a ratio of the first number to the total number of UEs), a second CEI value, and a first weight corresponding to the complaint duty ratio, respectively. The ratio and the second CEI are objective evaluation of the wireless network by the user, the weight corresponding to the ratio and the second CEI can be set to be slightly larger, the complaint duty ratio is subjective evaluation of the wireless network by the user, and the first weight corresponding to the complaint duty ratio can be set to be slightly smaller. The device performs weighted calculation based on the first weight comparison value, the complaint duty ratio and the second CEI to obtain the fraction of the cell. Each maintenance scheme is provided with a corresponding score interval, and the device determines the score interval in which the score is located, so that the maintenance scheme of the wireless network can be accurately determined.
Referring to fig. 4, fig. 4 is a third embodiment of the wireless network maintenance method according to the present invention, based on the first or second embodiment, step S20 includes:
Step S21, determining a first index value of each operation parameter of the UE and a second index value of each network parameter, wherein the index values comprise key quality index KQI values and/or key performance index KPI values.
In this embodiment, the apparatus determines a first index value for each operating parameter of the UE and a second index value for each network parameter. The index value includes key command index KQI, key performance index KPI, or KQI and KPI. Each type of operation parameter and each type of network parameter have corresponding index building models, and a first index value corresponding to each operation parameter and a second index value corresponding to each network parameter can be obtained by inputting the operation parameter and the network parameter into the index building models.
For ease of metering, the device may normalize, i.e. unify, the value ranges and dimensions of the first index value and the second index value. Specifically, each operation parameter and each network parameter are input into an index modeling model, and an original index value corresponding to each operation parameter and an original index value corresponding to each network parameter can be obtained. And determining the threshold of each sub-box based on investigation data analysis, network optimization experience and a data distribution method. The score corresponding to the bin into which the original index value of the operation parameter falls is the first index value corresponding to the operation parameter, and the score corresponding to the bin into which the original index value of the network parameter falls is the second index value corresponding to the network parameter. The binning threshold for the operating parameter is different from the binning threshold for the network operating parameter.
Step S22, according to the first index value and each second index value of the operation parameters of each application program belonging to the same type, determining the QoE value of the quality of experience index corresponding to each application program.
After determining the first index value and the second index value, the device can determine a quality of experience index QoE (Quality of Experience, qoE for short) value corresponding to each type of application program. For example, the device may determine a QoE value for a voice class application, a QoE value for a video class application, a QoE value for a game class application.
Specifically, the device acquires a first index value of an operation parameter and a second index value of a network parameter of each application program belonging to the same type, and the QoE value of the application program can be obtained based on a preset formula by each first index value and each second index value.
Further, where each application belonging to the same type has a preference of the user, the apparatus may set the fourth weight corresponding to the application based on the preference of the application, and the more the user prefers the application, the greater the fourth weight set by the application. The preferences of the application may be obtained based on a questionnaire. Similarly, the network parameters may set a corresponding fifth weight, where the fifth weight of the network parameters is set based on the requirements of the application program for the network parameters, for example, if the application program is a game application program, the requirements for the parameters of the time delay are higher, so that the fifth weight of the network parameters of the time delay are set to be larger. And the device performs weighted calculation on each second index value and the first index value of each application program belonging to the same type according to each fifth weight and each fourth weight, so as to obtain QoE values corresponding to each type of application program.
Step S23, according to the third weight corresponding to each type of application program, each QoE value is weighted and calculated to obtain a first CEI value corresponding to the UE.
The user has corresponding preferences for each type of application, which may be obtained based on a questionnaire. The higher the user's preference for a certain class of applications, the greater the third weight setting for that class of applications. And obtaining third weights corresponding to each type of application program by the device, so that the first CEI value corresponding to the UE can be obtained by carrying out weighted calculation on each QoE value based on each third weight.
According to the technical scheme provided by the embodiment, the device obtains the first index value of each operation parameter and the second index value corresponding to each network parameter through the KPI and the KQI index building model, so that the first CEI value of each UE is accurately determined based on the first index value and the second index value.
The present invention also provides a wireless network maintenance apparatus, referring to fig. 5, a wireless network maintenance apparatus 500 includes:
An obtaining module 501, configured to obtain an operation parameter and a network parameter corresponding to a user equipment UE in a cell, where the operation parameter corresponding to the UE is an operation parameter generated by the UE running various applications, and the network parameter corresponding to the UE is a network parameter of the cell when the UE runs various applications;
a determining module 502, configured to determine a first user experience index CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE;
A determining module 502 is configured to determine whether the wireless network of the cell needs maintenance according to the number of the first CEI values smaller than the preset CEI value.
In one embodiment, the wireless network maintenance apparatus 500 includes:
A determining module 502, configured to determine a second CEI value corresponding to the cell according to each first CEI value;
an obtaining module 501, configured to obtain a complaint duty ratio of the wireless network, where the complaint duty ratio is a ratio of a number of users of the complaint wireless network to a total number of users of the cell;
A determining module 502, configured to determine a first number of UEs that are evaluated as unsatisfactory to the wireless network according to a number of first CEI values that are smaller than a preset CEI value;
A determining module 502, configured to determine that the wireless network of the cell needs maintenance when the ratio of the first number to the total number of UEs is greater than a first preset threshold, the second CEI value is greater than a second preset threshold, and the complaint duty cycle is greater than a preset duty cycle.
In one embodiment, the wireless network maintenance apparatus 500 includes:
a determining module 502, configured to determine a ratio of the first number to the total number of UEs, a second CEI value, and a first weight corresponding to the complaint duty ratio, respectively;
the calculating module is used for carrying out weighted calculation on the ratio of the first quantity to the total quantity of the UE, the second CEI value and the complaint duty ratio according to each first weight to obtain the fraction of the cell;
A determining module 502, configured to determine a maintenance scheme of the wireless network according to the interval where the score is located.
In one embodiment, the wireless network maintenance apparatus 500 includes:
A determining module 502, configured to determine, according to a traffic used by each UE in a cell, a second weight of a first CEI value corresponding to each UE;
And the calculation module is used for carrying out weighted calculation on each first CEI value according to each second weight to obtain a second CEI value corresponding to the cell.
In one embodiment, the wireless network maintenance apparatus 500 includes:
A determining module 502, configured to determine a first index value of each operation parameter of the UE and a second index value of each network parameter, where the index values include a key quality index KQI value and/or a key performance index KPI value;
a determining module 502, configured to determine a quality of experience indicator QoE value corresponding to each type of application according to the first index value and each second index value of the operation parameter of each application belonging to the same type;
And the calculation module is used for carrying out weighted calculation on each QoE value according to the third weight corresponding to each type of application program to obtain a first CEI value corresponding to the UE.
In one embodiment, the wireless network maintenance apparatus 500 includes:
an obtaining module 501, configured to obtain a fourth weight corresponding to each application belonging to the same type, and determine a fifth weight corresponding to each second index value;
and the calculation module is used for carrying out weighted calculation on each second index value and the first index value of each application program belonging to the same type according to each fifth weight and each fourth weight to obtain the QoE value of the quality of experience index corresponding to each type of application program.
In one embodiment, the wireless network maintenance apparatus 500 includes:
A determining module 502, configured to determine an original index value corresponding to each operation parameter and an original index value corresponding to each network parameter;
The determining module 502 is configured to determine, as a first index value corresponding to the operation parameter, a score of a bin where an original index value corresponding to the operation parameter is located, and determine, as a second index value corresponding to the network parameter, a score of a bin where an original index value corresponding to the network parameter is located.
Fig. 6 is a hardware configuration diagram of a wireless network maintenance apparatus according to an exemplary embodiment.
The wireless network maintenance device 600 may include: a process 601, such as a CPU, a memory 602, and a transceiver 603. Those skilled in the art will appreciate that the structure shown in fig. 6 is not limiting of the wireless network maintenance device and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components. The memory 602 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
Processor 601 may invoke computer programs stored in memory 602 to perform all or part of the steps of the wireless network maintenance method described above.
The transceiver 603 is used for receiving information transmitted from an external device and transmitting information to the external device.
A non-transitory computer readable storage medium, which when executed by a processor of a wireless network maintenance device, causes the wireless network maintenance device to perform the wireless network maintenance method described above.
A computer program product comprising a computer program which, when executed by a processor of a wireless network maintenance device, enables the wireless network maintenance device to perform the wireless network maintenance method described above.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (7)
1. A method of wireless network maintenance, comprising:
Acquiring operation parameters and network parameters corresponding to User Equipment (UE) in a cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the network parameters corresponding to the UE are network parameters of the cell when the UE operates the various application programs;
Determining a first CEI value of each UE according to the network parameters and the operation parameters corresponding to each UE;
determining whether a wireless network of the cell needs maintenance according to the number of the first CEI values smaller than a preset CEI value;
Wherein if the first CEI value is within the [ -0.85,0.64] interval, the UE evaluates to unsatisfactory for the wireless network; if the first CEI value is located (0.64,0.76), the UE's evaluation of the wireless network is neutral; if the first CEI value is at [0.76,1.73], the UE evaluates the wireless network as satisfactory; the preset CEI value is 0.64 of the upper limit value corresponding to the unsatisfactory interval;
the step of determining whether the wireless network of the cell requires maintenance according to the number of the first CEI values smaller than a preset CEI value includes:
Determining a second weight of a first CEI value corresponding to each UE according to the flow used by each UE in the cell;
according to each second weight, weighting calculation is carried out on each first CEI value to obtain a second CEI value corresponding to the cell;
Acquiring a complaint duty ratio of the wireless network, wherein the complaint duty ratio is a ratio of the number of users complaining the wireless network to the total number of users in the cell;
Determining a first number of UEs rated as unsatisfactory for the wireless network according to the number of the first CEI values smaller than a preset CEI value;
when the ratio of the first number to the total number of the UEs is greater than a first preset threshold, the second CEI value is greater than a second preset threshold, and the complaint duty cycle is greater than a preset duty cycle, determining that the wireless network of the cell needs maintenance;
determining a ratio of the first number to the total number of UEs, the second CEI value, and a first weight corresponding to the complaint duty cycle, respectively;
Weighting and calculating the ratio of the first quantity to the total quantity of the UE, the second CEI value and the complaint duty ratio according to the first weights to obtain the score of the cell;
and determining a maintenance scheme of the wireless network according to the interval where the score is located.
2. The wireless network maintenance method of claim 1, wherein the step of determining the first CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE includes:
Determining a first index value of each operation parameter of the UE and a second index value of each network parameter, wherein the index values comprise key quality index KQI values and/or key performance index KPI values;
Determining a QoE (quality of experience) index value corresponding to each type of application program according to a first index value of an operation parameter of each application program belonging to the same type and each second index value;
and according to the third weight corresponding to each type of application program, carrying out weighted calculation on each QoE value to obtain a first CEI value corresponding to the UE.
3. The wireless network maintenance method according to claim 2, wherein the step of determining the quality of experience index QoE value corresponding to each type of application program according to the first index value and each second index value of the operation parameter of each application program belonging to the same type comprises:
Acquiring a fourth weight corresponding to each application program belonging to the same type, and determining a fifth weight corresponding to each second index value;
And according to the fifth weights and the fourth weights, carrying out weighted calculation on the second index values and the first index values of the application programs belonging to the same type, and obtaining QoE values of the quality of experience indexes corresponding to the application programs of each type.
4. The wireless network maintenance method of claim 3, wherein the step of determining a first index value for each of the operating parameters of the UE and a second index value for each of the network parameters comprises:
determining an original index value corresponding to each operation parameter and an original index value corresponding to each network parameter;
and determining the score of the bin in which the original index value corresponding to the operating parameter is located as a first index value corresponding to the operating parameter, and determining the score of the bin in which the original index value corresponding to the network parameter is located as a second index value corresponding to the network parameter.
5. A wireless network maintenance device, comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring operation parameters and network parameters corresponding to User Equipment (UE) in a cell, wherein the operation parameters corresponding to the UE are operation parameters generated by the operation of various application programs by the UE, and the network parameters corresponding to the UE are network parameters of the cell when the UE operates the various application programs;
The determining module is used for determining a first CEI value of each UE according to the network parameter and the operation parameter corresponding to each UE;
The determining module is further configured to determine whether a wireless network of the cell needs maintenance according to the number of the first CEI values smaller than a preset CEI value;
Wherein if the first CEI value is within the [ -0.85,0.64] interval, the UE evaluates to unsatisfactory for the wireless network; if the first CEI value is located (0.64,0.76), the UE's evaluation of the wireless network is neutral; if the first CEI value is at [0.76,1.73], the UE evaluates the wireless network as satisfactory; the preset CEI value is 0.64 of the upper limit value corresponding to the unsatisfactory interval;
the determining module is specifically configured to:
Determining a second weight of a first CEI value corresponding to each UE according to the flow used by each UE in the cell;
according to each second weight, weighting calculation is carried out on each first CEI value to obtain a second CEI value corresponding to the cell;
Acquiring a complaint duty ratio of the wireless network, wherein the complaint duty ratio is a ratio of the number of users complaining the wireless network to the total number of users in the cell;
Determining a first number of UEs rated as unsatisfactory for the wireless network according to the number of the first CEI values smaller than a preset CEI value;
when the ratio of the first number to the total number of the UEs is greater than a first preset threshold, the second CEI value is greater than a second preset threshold, and the complaint duty cycle is greater than a preset duty cycle, determining that the wireless network of the cell needs maintenance;
determining a ratio of the first number to the total number of UEs, the second CEI value, and a first weight corresponding to the complaint duty cycle, respectively;
Weighting and calculating the ratio of the first quantity to the total quantity of the UE, the second CEI value and the complaint duty ratio according to the first weights to obtain the score of the cell;
and determining a maintenance scheme of the wireless network according to the interval where the score is located.
6. A wireless network maintenance device, comprising: a memory and a processor;
The memory stores computer-executable instructions;
The processor executing computer-executable instructions stored in the memory causes the processor to perform the wireless network maintenance method of any one of claims 1 to 4.
7. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are for implementing the wireless network maintenance method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111158144.6A CN113840316B (en) | 2021-09-30 | 2021-09-30 | Wireless network maintenance method, device, equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111158144.6A CN113840316B (en) | 2021-09-30 | 2021-09-30 | Wireless network maintenance method, device, equipment and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113840316A CN113840316A (en) | 2021-12-24 |
| CN113840316B true CN113840316B (en) | 2024-04-30 |
Family
ID=78967817
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111158144.6A Active CN113840316B (en) | 2021-09-30 | 2021-09-30 | Wireless network maintenance method, device, equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113840316B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101783754A (en) * | 2010-02-23 | 2010-07-21 | 浪潮通信信息系统有限公司 | Measuring method for internet service user to percept QoE |
| CN102137155A (en) * | 2011-02-25 | 2011-07-27 | 浪潮通信信息系统有限公司 | Method for handling communication network quality complaints based on customer perception |
| CN103812671A (en) * | 2012-11-06 | 2014-05-21 | 中兴通讯股份有限公司 | Method and system for evaluating communication service customer quality of experience |
| CN105636083A (en) * | 2014-10-27 | 2016-06-01 | 北京市天元网络技术股份有限公司 | Mobile network assessment method |
| CN107612701A (en) * | 2016-07-11 | 2018-01-19 | 中国电信股份有限公司 | A kind of processing method of QoE parameters, device and customer experience management system |
| CN107786364A (en) * | 2016-08-25 | 2018-03-09 | 刘俊声 | Modeling method for predicting complaint tendency of QOE system |
| CN107979496A (en) * | 2017-12-07 | 2018-05-01 | 锐捷网络股份有限公司 | A kind of method and server for obtaining user experience quality |
| CN109768888A (en) * | 2019-01-16 | 2019-05-17 | 广东工业大学 | A kind of network service quality evaluation method, device, equipment and readable storage medium storing program for executing |
| CN111741427A (en) * | 2020-06-22 | 2020-10-02 | 中国联合网络通信集团有限公司 | Service complaint processing method, device and equipment |
| CN112165714A (en) * | 2020-10-24 | 2021-01-01 | 国铁吉讯科技有限公司 | Network evaluation method, device and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10958546B2 (en) * | 2018-12-31 | 2021-03-23 | Hughes Network Systems, Llc | System and method for estimation of quality of experience (QoE) for web browsing using passive measurements |
-
2021
- 2021-09-30 CN CN202111158144.6A patent/CN113840316B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101783754A (en) * | 2010-02-23 | 2010-07-21 | 浪潮通信信息系统有限公司 | Measuring method for internet service user to percept QoE |
| CN102137155A (en) * | 2011-02-25 | 2011-07-27 | 浪潮通信信息系统有限公司 | Method for handling communication network quality complaints based on customer perception |
| CN103812671A (en) * | 2012-11-06 | 2014-05-21 | 中兴通讯股份有限公司 | Method and system for evaluating communication service customer quality of experience |
| CN105636083A (en) * | 2014-10-27 | 2016-06-01 | 北京市天元网络技术股份有限公司 | Mobile network assessment method |
| CN107612701A (en) * | 2016-07-11 | 2018-01-19 | 中国电信股份有限公司 | A kind of processing method of QoE parameters, device and customer experience management system |
| CN107786364A (en) * | 2016-08-25 | 2018-03-09 | 刘俊声 | Modeling method for predicting complaint tendency of QOE system |
| CN107979496A (en) * | 2017-12-07 | 2018-05-01 | 锐捷网络股份有限公司 | A kind of method and server for obtaining user experience quality |
| CN109768888A (en) * | 2019-01-16 | 2019-05-17 | 广东工业大学 | A kind of network service quality evaluation method, device, equipment and readable storage medium storing program for executing |
| CN111741427A (en) * | 2020-06-22 | 2020-10-02 | 中国联合网络通信集团有限公司 | Service complaint processing method, device and equipment |
| CN112165714A (en) * | 2020-10-24 | 2021-01-01 | 国铁吉讯科技有限公司 | Network evaluation method, device and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| Huawei.S5-174137 "Discussion on introducing Intelligence in 3GPP network management".3GPP tsg_sa\WG5_TM.2017,(TSGS5_114),全文. * |
| 蔡子龙 ; 王晓刚 ; 史文祥 ; 陈任翔.移动用户感知预判与数字化运营探讨.《邮电设计技术》.2021,第2至3部分及图1. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113840316A (en) | 2021-12-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109921941B (en) | Network service quality evaluation and optimization method, device, medium and electronic equipment | |
| Xu et al. | PROTEUS: network performance forecast for real-time, interactive mobile applications | |
| CN105050125B (en) | A kind of mobile data service quality evaluating method and device of user oriented experience | |
| EP3055983B1 (en) | Predicting call quality | |
| EP2633644B1 (en) | Service performance in communications network | |
| KR101770050B1 (en) | Method and apparatus for cloud services for enhancing broadband experience | |
| JP6336577B2 (en) | Communications system | |
| CN105376089B (en) | A kind of network plan method and device | |
| Siris et al. | Mobile quality of experience: Recent advances and challenges | |
| Schwartz et al. | Angry apps: The impact of network timer selection on power consumption, signalling load, and web qoe | |
| De Vriendt et al. | QoE model for video delivered over an LTE network using HTTP adaptive streaming | |
| Wang et al. | HAS QoE prediction based on dynamic video features with data mining in LTE network | |
| US11134409B2 (en) | Determining whether a flow is to be added to a network | |
| Hosek et al. | Predicting user QoE satisfaction in current mobile networks | |
| EP2816518A2 (en) | Methods and apparatuses to identify user dissatisfaction from early cancelation | |
| US11349731B2 (en) | Data collection for the evaluation of the quality of experience of a service over a communications network | |
| Ahmad et al. | Towards QoE monitoring at user terminal: A monitoring approach based on quality degradation | |
| Díaz Zayas et al. | QoE evaluation: the TRIANGLE testbed approach | |
| Ballesteros et al. | Energy saving approaches for video streaming on smartphone based on QoE modeling | |
| CN113840316B (en) | Wireless network maintenance method, device, equipment and computer readable storage medium | |
| Ickin | Quality of experience on smartphones: Network, application, and energy perspectives | |
| Toseef et al. | User satisfaction based resource allocation in future heterogeneous wireless networks | |
| Zeydan | Android vs. IOS: a comparative analysis over mobile operator infrastructures based on crowdsourced mobile dataset | |
| Ominike et al. | A quality of experience hexagram model for mobile network operators multimedia services and applications | |
| Zayas et al. | TRIANGLE: a Platform to Validate 5G KPIs in End to End scenarios |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |