CN110267288B - Mobile network complaint positioning method and device - Google Patents

Mobile network complaint positioning method and device Download PDF

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Publication number
CN110267288B
CN110267288B CN201910431531.9A CN201910431531A CN110267288B CN 110267288 B CN110267288 B CN 110267288B CN 201910431531 A CN201910431531 A CN 201910431531A CN 110267288 B CN110267288 B CN 110267288B
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complaint
base station
preset
user equipment
category
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CN110267288A (en
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王晓彬
苗岩
姚梦珂
周壮
戴鹏
原振升
欧明
柯腾辉
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

The application discloses a mobile network complaint positioning method and device, relates to the field of communication, and is used for reducing human resources required by mobile network complaint positioning. The method comprises the following steps: determining at least one resident base station corresponding to the user equipment according to the user complaint information, wherein the user complaint information is used for determining the user equipment, and the resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold; acquiring at least one interaction index of the user equipment and each resident base station, wherein the interaction index is a preset index for generating user complaints when the user equipment interacts with the resident base station; respectively determining a first probability of interaction between the user equipment and each resident base station according to at least one interaction index and a first weight value corresponding to the interaction index; and determining a target complaint base station according to the first probability and taking a preset complaint category to which the target complaint base station belongs as a target complaint category.

Description

Mobile network complaint positioning method and device
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for locating a mobile network complaint.
Background
With the continuous expansion of mobile user network scale and the continuous increase of mobile phone application types, the demand of users on mobile networks is continuously increased, and the local contradiction is inevitably existed between the increasing network demand of users and the network development, thereby causing the complaints of users. How to quickly respond and accurately position the mobile complaints, efficiently solve the problems in a short time and improve the customer satisfaction degree becomes a key point for improving customer perception of operators.
The traditional mobile complaint positioning method mainly comprises the following steps: after receiving the complaint list fed back by the customer service staff, engineers in the network department inquire the complaint address, position the peripheral stations, inquire the related station indexes through the network management system, preliminarily judge the network condition according to the station indexes, and feed back the network condition to the customer. The traditional mobile complaint positioning method depends on manual work, the mobile complaint positioning process is complicated, and the efficiency is low.
Disclosure of Invention
The embodiment of the application provides a mobile network complaint positioning method and device, which can quickly analyze a target base station and a target complaint category which cause the complaint of a user, and does not need to input a large amount of human resources. In order to achieve the above purpose, the embodiment of the present application adopts the following scheme:
in a first aspect, a method for locating a complaint of a mobile network is provided, which includes: determining at least one resident base station corresponding to the user equipment according to the user complaint information, wherein the user complaint information is used for determining the user equipment, and the resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold; acquiring at least one interaction index of the user equipment and each resident base station, wherein the interaction index is a preset index for generating user complaints when the user equipment interacts with the resident base station; respectively determining a first probability of interaction between the user equipment and each resident base station according to at least one interaction index and a first weight value corresponding to the interaction index; and determining a target complaint base station according to the first probability and taking a preset complaint category to which the target complaint base station belongs as a target complaint category.
Based on the above technical solution, the mobile network complaint positioning method provided by the present application can determine at least one resident base station corresponding to the user equipment, obtain at least one interaction index between the user equipment and each resident base station, respectively determine a first probability of interaction between the user equipment and each resident base station according to the at least one interaction index and a first weight value corresponding to the interaction index, determine a target complaint base station according to the first probability, and take a preset complaint category to which the target complaint base station belongs as a target complaint category. Through the probability of interaction between the user equipment and each resident base station, the target base station and the target complaint category which cause the complaint of the user can be quickly analyzed, and a large amount of human resources are not required to be input.
In one possible design, before the step of obtaining at least one interaction metric of the ue with each of the resident base stations, the method further includes: determining address information of each resident base station and the position of the user equipment; determining the distance between the user equipment and each resident base station according to the address information of each resident base station and the position of the user equipment; the acquiring at least one interaction index of the user equipment and each resident base station includes: and acquiring at least one interaction index between the user equipment and each resident base station meeting preset conditions, wherein the resident base station meeting the preset conditions is a resident base station with the distance from the user equipment less than or equal to a preset distance threshold.
According to the mobile network complaint positioning method, the distance between the user equipment and the resident base station is determined, the resident base station which does not meet the preset condition can be screened out, and the accuracy of determining the target base station is improved.
In one possible design, the step of determining a first probability of interaction between the ue and each of the residential base stations according to at least one of the interaction indicators and a first weight value corresponding to the interaction indicator includes: determining a first probability of interaction of the user equipment with each of the resident base stations according to a method shown in the following formula:
Figure BDA0002069147670000021
wherein alpha isiRepresenting a first probability of interaction between the user equipment and the ith resident base station, m representing the number of the interaction indexes, wjRepresents a first weight value, gamma, corresponding to the jth interaction indexijThe value of the j interaction index corresponding to the i-th resident base station is normalized.
In one possible design, before the preset complaint category to which the target complaint base station belongs is taken as a target complaint category, the method further includes: and respectively determining the complaint category to which each resident base station belongs according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category, wherein the second weight value is related to the preset complaint category.
In one possible design, the method for determining the complaint category to which each of the resident base stations belongs according to at least one type of the preset complaint category and a second weighted value corresponding to the preset complaint category includes: respectively determining a second probability that the resident base station belongs to each type of preset complaint category according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category; and taking the preset complaint category corresponding to the probability value of the second probability being greater than the preset adjustment threshold value as the complaint category to which the resident base station belongs.
According to the mobile network complaint positioning method provided by the application, the second probability that the resident base station belongs to the preset complaint category can be determined according to the preset complaint category and the second weighted value corresponding to the preset complaint category, and the preset complaint category corresponding to the probability value larger than the preset adjustment threshold value in the second probability is taken as the complaint category to which the resident base station belongs. By predetermining the complaint category to which each resident base station belongs, after the target complaint base station is determined, the corresponding complaint category can be directly determined.
In one possible design, the step of determining a second probability that the resident base station belongs to each of the preset complaint categories according to at least one of the preset complaint categories and a second weighted value corresponding to the preset complaint category includes: determining a second probability that the resident base station belongs to each preset complaint category according to a method shown in the following formula:
Figure BDA0002069147670000031
wherein, the betaiA second probability, gamma ', representing that the ith resident base station belongs to each preset complaint category'ijRepresents a value, omega ', of a jth preset complaint category corresponding to the ith resident base station after normalization'jAnd representing a second weight value corresponding to the jth preset complaint category.
In a second aspect, there is provided a mobile network complaint positioning device, including: the first determining module is used for determining at least one resident base station corresponding to user equipment according to user complaint information, wherein the user complaint information is used for determining the user equipment, and the resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold; an obtaining module, configured to obtain at least one interaction indicator of the user equipment and each of the permanent base stations, where the interaction indicator is a preset indicator of a user complaint generated when the user equipment interacts with the permanent base station; a second determining module, configured to determine, according to at least one of the interaction indicators and a first weight value corresponding to the interaction indicator, a first probability that the user equipment interacts with each of the residential base stations, respectively; and the positioning module is used for determining a target complaint base station according to the first probability and taking a preset complaint category to which the target complaint base station belongs as a target complaint category.
In one possible design, the mobile network complaint positioning device further includes a distance determination module, where the distance determination module is configured to determine address information of each of the resident base stations and a location of the user equipment; determining the distance between the user equipment and each resident base station according to the address information of each resident base station and the position of the user equipment; the obtaining module is further configured to obtain at least one interaction index between the user equipment and each of the permanent base stations that meet a preset condition, where the permanent base station that meets the preset condition is a permanent base station whose distance from the user equipment is less than or equal to a preset distance threshold.
In one possible design, the second determining module is further configured to determine a first probability that the ue interacts with each of the resident base stations according to a method shown in the following formula:
Figure BDA0002069147670000041
wherein alpha isiRepresenting a first probability of interaction between the user equipment and the ith resident base station, m representing the number of the interaction indexes, wjRepresents a first weight value, gamma, corresponding to the jth interaction indexijThe value of the j interaction index corresponding to the i-th resident base station is normalized.
In one possible design, the mobile network complaint positioning device further includes a third determination module, where the third determination module is configured to determine a complaint category to which each of the resident base stations belongs according to at least one type of a preset complaint category and a second weight value corresponding to the preset complaint category, where the second weight value is related to the preset complaint category.
In one possible design, the third determining module is further configured to determine, according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category, a second probability that the resident base station belongs to each type of preset complaint category; and taking the preset complaint category corresponding to the probability value of the second probability being greater than the preset adjustment threshold value as the complaint category to which the resident base station belongs.
In one possible design, the third determining module is further configured to determine a second probability that the resident base station belongs to each of the preset complaint categories according to a method shown in the following formula:
Figure BDA0002069147670000042
wherein, the betaiA second probability, gamma ', representing that the ith resident base station belongs to each preset complaint category'ijRepresents a value, omega ', of a jth preset complaint category corresponding to the ith resident base station after normalization'jAnd representing a second weight value corresponding to the jth preset complaint category.
In a third aspect, an access network device is provided, where the access network device includes: a processor, a transceiver, and a memory; wherein the memory is used for storing one or more programs, the one or more programs include computer-executable instructions, and when the access network device runs, the processor executes the computer-executable instructions stored in the memory, so as to enable the access network device to execute the mobile network complaint positioning method of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, in which instructions are stored, and when the instructions are executed by a computer, the computer executes the mobile network complaint positioning method described in the first aspect.
In a fifth aspect, there is provided a computer program product comprising instructions for executing the method for mobile network complaint location of the first aspect when the computer program product runs on a computer.
Drawings
Fig. 1 is a schematic diagram illustrating a step of a method for locating a complaint of a mobile network according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a mobile network complaint positioning device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an access network device according to an embodiment of the present application.
Detailed Description
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
As shown in fig. 1, a method for locating a mobile network complaint provided by an embodiment of the present application may include the following steps:
s101, determining at least one resident base station corresponding to the user equipment according to the user complaint information.
The resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold value.
Illustratively, customer complaint information can include, but is not limited to, time of complaint, address of complaint, problem of complaint, and number of complaint.
Optionally, the complaint information of the user can be normalized to establish a complaint information base. The complaint information base can be represented as T, T ═ T1,t1,…,tn}，tnIndicating the nth user complaint information.
As an implementation manner, the user equipment performs data interaction with the plurality of base stations in the using process, the number of data interaction times between a part of the base stations and the user equipment is large, the probability of the occurrence of the complaint fault of the user by the part of the base stations is high, and in order to quickly analyze the base station causing the complaint of the user, the base station having the number of data interaction times larger than a preset first time threshold value with the user equipment can be used as a resident base station.
The preset first-time threshold value may be determined arbitrarily according to actual use and needs, and the embodiment of the present application is not limited herein. In the following, in order to avoid redundancy, description of similar descriptions is omitted unless otherwise specified.
Illustratively, the resident base station may be determined as follows:
and extracting the signaling when the user equipment interacts with at least one base station, counting the times of the occurrence of the cells in the signaling process, and taking the base station corresponding to the cell with the occurrence times larger than a preset second time threshold value as a resident base station corresponding to the user equipment.
There may be multiple resident base stations, and a resident base station base may be established based on the multiple resident base stations, and the resident base station base may be denoted as U ═ { U ═1,u2,…,ui}，uiRepresenting the ith resident base station.
It can be understood that the distance between the user equipment and the resident base station is greater than the preset distance threshold, which will result in the accuracy of the target base station for determining the complaint of the user being reduced. In order to be able to more accurately analyze the base stations causing the user complaints, the distance of the user equipment from each resident base station may be determined.
Illustratively, the distance of the user equipment from each resident base station can be determined as follows:
analyzing the complaint address information in the complaint information base, selecting a field related to the complaint address information in the complaint information base to obtain the longitude and latitude of the complaint address of the user equipment, and determining the linear distance between the user equipment and the resident base station according to the longitude and latitude of the complaint address of the user equipment and the longitude and latitude of the resident base station.
The fields related to the complaint address information may include, but are not limited to, the latitude and longitude of the address of the user equipment, the area where the user equipment is located, the type of building where the user equipment is located, the floor information where the user equipment is located, and the like. And related data such as the ID of a cell around the user equipment, the longitude and latitude of the cell and the like can be acquired according to the fields related to the complaint address information.
If the linear distance between the ue and the permanent base station is less than or equal to the preset distance threshold, step S102 is executed and the permanent base station is incorporated into the first diagnosis library of the permanent base station library.
The first diagnosis library is used for storing the resident base station of which the straight-line distance with the user equipment is less than or equal to a preset distance threshold.
If the straight-line distance between the user equipment and the resident base station is greater than the preset distance threshold, the resident base station can be contained in a second diagnosis library of the resident base station library.
It can be understood that the accuracy of analyzing the resident base station causing the user complaint in the second diagnosis library is much lower than the accuracy of analyzing the resident base station causing the user complaint in the first diagnosis library, and in order to improve the accuracy of locating the target base station, the target base station causing the user complaint in the second diagnosis library may be manually located.
The target base station is a base station having a fault in the data interaction process with the user equipment, the target category is a fault category, and reference may be made to a preset complaint category in S104, which is not described herein again.
S102, acquiring at least one interaction index of the user equipment and each resident base station.
The interaction index is a preset index for generating user complaints when the user equipment interacts with the resident base station.
Optionally, the interaction index may include distance information between a complaint address of the user equipment and the permanent base station, connection times between the user equipment and the permanent base station, uplink and downlink traffic information between the user equipment and the permanent base station, and Physical Resource Block (PRB) utilization information.
Illustratively, the interaction metric may be expressed as:
Figure BDA0002069147670000071
wherein u isijA value of j-th interaction index representing the user equipment and the i-th resident base station, i is 1,2, …, n, j is 1,2, …, m, n represents the number of the resident base stations, and m represents the number of the interaction indexes.
S103, respectively determining a first probability of interaction between the user equipment and each resident base station according to at least one interaction index and a first weight value corresponding to the interaction index.
It is to be understood that each interaction index corresponds to a first weight value, and the first set of weight values may be represented as w1,w2,…,wj，wjAnd representing the weight value corresponding to the jth interaction index. A first probability of interaction between the user equipment and each resident base station may be respectively determined according to at least one interaction index and a first weight value corresponding to the interaction index, and the first probability may represent a degree of closeness of interaction between the user equipment and the base station.
As an implementation method, the first probability of the user equipment interacting with each resident base station may be determined according to the following method shown in formula (1):
Figure BDA0002069147670000072
wherein alpha isiRepresenting a first probability of interaction of the user equipment with the ith resident base station, m representing the number of interaction indicators, wjRepresents a first weight value, gamma, corresponding to the jth interaction indexijThe value of the j interaction index corresponding to the i resident base station is normalized,
Figure BDA0002069147670000073
it should be noted that the sum of the first probabilities of the user equipment interacting with all the resident base stations is 1, i.e. the sum of the first probabilities is 1
Figure BDA0002069147670000081
And S104, determining the target complaint base station according to the first probability and taking the preset complaint category to which the target complaint base station belongs as the target complaint category.
The preset complaint category is determined by analyzing the complaint historical data of the user and classifying the network problems causing the complaint of the user. Optionally, the preset complaint category may include category information such as network failure, excessive network load, insufficient network coverage, and network interference, for example, zero traffic duration information and average signal interference strength information.
For example, the preset complaint category can be expressed as:
Figure BDA0002069147670000082
wherein u'ijAnd indicating the jth preset complaint category corresponding to the ith resident base station.
It can be understood that the resident base station corresponding to the probability value of the first probability being greater than the preset probability threshold may be taken as the target base station, and accordingly, the complaint category to which the target base station belongs may be taken as the target complaint category.
Optionally, the complaint category to which each resident base station belongs may be determined according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category.
Wherein the second weight values are related to preset complaint categories, each preset complaint category corresponds to one second weight value, and the second weight value set can be represented as ω'1,ω′2,…,ω′j，ω′jAnd the weight value corresponding to the jth preset complaint category is represented.
As an implementation manner, the method for respectively determining the preset complaint category to which each resident base station belongs according to at least one type of preset complaint category and a second weighted value corresponding to the preset complaint category may include:
respectively determining a second probability that the resident base station belongs to each type of preset complaint category according to the at least one type of preset complaint category and a second weight value corresponding to the preset complaint category;
and taking the preset complaint category corresponding to the probability value larger than the preset adjustment threshold value in the second probability as the complaint category to which the resident base station belongs.
Alternatively, the second probability that the resident base station belongs to each preset complaint category can be determined according to the following method shown in the formula (2):
Figure BDA0002069147670000083
wherein, betaiA second probability, omega ', representing that the ith resident base station belongs to each preset complaint category'jRepresenting second weight value gamma 'corresponding to jth preset complaint category'ijThe value of the standardized preset complaint category of the jth category corresponding to the ith resident base station is shown,
Figure BDA0002069147670000091
it can be understood that, in order to further improve the accuracy of complaint positioning, the weight values of the interactive network index and the complaint category network index may be dynamically adjusted according to the actual conditions of the user and the base station. The embodiment of the application can further comprise the following steps:
if the first probability is smaller than a preset first adjusting threshold, re-determining the first weight value; and/or
And if the second probability is smaller than a preset second adjusting threshold value, re-determining the second weight value.
Alternatively, the first and second weight values may be re-determined as described in the following equations (3) and (4):
Figure BDA0002069147670000092
Figure BDA0002069147670000093
wherein, ω isj1Representing the redetermined first weight value, ω'j1Denotes a re-determined second weight value, alpha denotes a step size, the initial value of which is a random value,
Figure BDA0002069147670000094
represents the partial derivation of f (ω).
Alternatively, the method corresponding to the above formula may have various names, such as a gradient descent algorithm, and the embodiment of the present application is not limited herein.
And through iterative optimization of the first weight value and the second weight value, the first weight value and the second weight value are converged, and the first probability and the preset complaint category to which each resident base station belongs are determined again according to the converged first weight value and the converged second weight value.
Illustratively, the preset complaint category to which each resident base station belongs may be re-determined by the following method shown in formula (5):
Figure BDA0002069147670000095
optionally, the method corresponding to the above formula may determine the target complaint base station through a plurality of functions, for example, a Softmax function, which is not limited herein in this embodiment of the application.
It is to be understood that, after determining the default complaint category to which each resident base station belongs, the target complaint base station and the target complaint category can be further determined in combination with the first probability.
Illustratively, determining a target complaint base station and a target complaint category is described in connection with the following table:
resident base station First probability of
A resident base station αA
B resident base station αB
C resident base station αC
Suppose that the resident base stations are A, B and C respectively, and the first probabilities corresponding to the three base stations A, B and C are respectively alphaA、αB、αCIf a first probability α corresponding to the camped base station is greater than a preset probability threshold, the camped base station corresponding to the first probability α may be used as the target base stationAIf the probability is greater than the preset probability threshold, the resident base station a is used as the target base station, and accordingly, the preset complaint category corresponding to each resident base station is determined in step S104, and the preset complaint category corresponding to the resident base station a can be used as the target complaint category.
The mobile network complaint positioning method can quickly analyze the target base station and the target complaint category which cause the complaint of the user, and does not need to input a large amount of human resources. In addition, the mobile network complaint positioning method provided by the application can dynamically adjust the weight values of the interactive network indexes and the complaint category network indexes, and adjust according to the actual conditions of the user and the base station, so that the positioning accuracy is improved.
Based on the embodiment of fig. 1, the embodiment of the present application further provides a mobile network complaint positioning device. As shown in fig. 2, a mobile network complaint positioning device provided in the embodiment of the present application is a mobile network complaint positioning device, where the mobile network complaint positioning device includes: a first determining module 21, an obtaining module 22, a second determining module 23 and a positioning module 24.
The first determining module 21 is configured to determine, according to the user complaint information, at least one resident base station corresponding to the user equipment, where the user complaint information is used to determine the user equipment, and the resident base station is a base station whose number of interactions with the user equipment is greater than a preset first threshold.
The obtaining module 22 is configured to obtain at least one interaction indicator of the user equipment and each resident base station, where the interaction indicator is a preset indicator of a user complaint generated when the user equipment interacts with the resident base station.
The second determining module 23 is configured to determine, according to the at least one interaction indicator and the first weight value corresponding to the interaction indicator, a first probability that the user equipment interacts with each resident base station respectively.
And the positioning module 24 is configured to determine the target complaint base station according to the first probability and use a preset complaint category to which the target complaint base station belongs as the target complaint category.
In one possible design, the mobile network complaint positioning device further includes a distance determination module, where the distance determination module is configured to determine address information of each resident base station and a location of the user equipment; determining the distance between the user equipment and each resident base station according to the address information of each resident base station and the position of the user equipment;
the obtaining module 22 is further configured to obtain at least one interaction indicator between the user equipment and each of the residential base stations that meet the preset condition, where the residential base station that meets the preset condition is a residential base station whose distance from the user equipment is less than or equal to a preset distance threshold.
In one possible design, the second determining module 23 is further configured to determine a first probability that the ue interacts with each of the resident base stations according to the method shown in formula (1).
In one possible design, the mobile network complaint positioning device further includes a third determining module, where the third determining module is configured to determine a complaint category to which each of the resident base stations belongs according to at least one type of the preset complaint category and a second weight value corresponding to the preset complaint category, where the second weight value is related to the preset complaint category.
In one possible design, the third determining module is further configured to determine, according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category, a second probability that the resident base station belongs to each type of preset complaint category; and taking the preset complaint category corresponding to the probability value larger than the preset adjustment threshold value in the second probability as the complaint category to which the resident base station belongs.
In one possible design, the third determining module is further configured to determine a second probability that the resident base station belongs to each of the preset complaint categories according to the method shown in formula (2).
The module division of the mobile network complaint positioning device in the embodiment of the present application is an exemplary description, and in practice, the mobile network complaint positioning device in the embodiment of the present application may be formed by a plurality of module division methods.
As shown in fig. 3, fig. 3 exemplarily shows a schematic structural diagram of an access network device provided in an embodiment of the present application, where the access network device includes a processor 301, a transceiver 302, and a memory 303. Wherein the memory 303 is used for storing one or more programs, the one or more programs include computer executable instructions, and when the access network device runs, the processor 301 executes the computer executable instructions stored in the memory 303, so that the access network device can implement the mobile network complaint positioning method provided by the embodiment shown in fig. 1.
The embodiment of the present application further provides a computer-readable storage medium, in which instructions are stored, and when the computer executes the instructions, the computer network may implement the mobile network complaint positioning method provided in the embodiment shown in fig. 1.
Embodiments of the present application further provide a computer program product containing instructions, and when the computer program product runs on a computer, the computer may implement the mobile network complaint positioning method provided in the embodiment shown in fig. 1.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (15)

1. A mobile network complaint positioning method is characterized by comprising the following steps:
determining at least one resident base station corresponding to user equipment according to user complaint information, wherein the user complaint information is used for determining the user equipment, and the resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold;
acquiring at least one interaction index of the user equipment and each resident base station, wherein the interaction index is a preset index for generating user complaints when the user equipment interacts with the resident base station;
respectively determining a first probability of interaction between the user equipment and each resident base station according to at least one interaction index and a first weight value corresponding to the interaction index;
and determining a target complaint base station according to the first probability and taking a preset complaint category to which the target complaint base station belongs as a target complaint category.
2. The method of claim 1, wherein before the step of obtaining at least one interaction metric between the UE and each of the resident BSs, the method further comprises:
determining address information of each resident base station and the position of the user equipment;
determining the distance between the user equipment and each resident base station according to the address information of each resident base station and the position of the user equipment;
the acquiring at least one interaction index of the user equipment and each resident base station includes:
and acquiring at least one interaction index between the user equipment and each resident base station meeting preset conditions, wherein the resident base station meeting the preset conditions is a resident base station with the distance from the user equipment less than or equal to a preset distance threshold.
3. The method as claimed in claim 1, wherein the step of determining the first probability of the ue interacting with each of the resident base stations according to the at least one interaction indicator and the first weight value corresponding to the interaction indicator respectively comprises:
determining a first probability of interaction of the user equipment with each of the resident base stations according to a method shown in the following formula:
Figure FDA0002069147660000011
wherein alpha isiRepresenting a first probability of interaction between the user equipment and the ith resident base station, m representing the number of the interaction indexes, wjRepresents a first weight value, gamma, corresponding to the jth interaction indexijThe value of the j interaction index corresponding to the i-th resident base station is normalized.
4. The method according to claim 1, wherein before the preset complaint category to which the target complaint base station belongs is taken as a target complaint category, the method further comprises:
and respectively determining the complaint category to which each resident base station belongs according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category, wherein the second weight value is related to the preset complaint category.
5. The method as claimed in claim 4, wherein the method for determining the complaint category to which each of the resident base stations belongs according to at least one type of the preset complaint category and the second weighted value corresponding to the preset complaint category comprises:
respectively determining a second probability that the resident base station belongs to each type of preset complaint category according to at least one type of preset complaint category and a second weight value corresponding to the preset complaint category;
and taking the preset complaint category corresponding to the probability value of the second probability being greater than the preset adjustment threshold value as the complaint category to which the resident base station belongs.
6. The method as claimed in claim 5, wherein the step of determining the second probability that the resident base station belongs to each of the predefined complaint categories according to at least one predefined complaint category and the second weighted value corresponding to the predefined complaint category comprises:
determining a second probability that the resident base station belongs to each preset complaint category according to a method shown in the following formula:
Figure FDA0002069147660000021
wherein, the betaiA second probability, gamma ', representing that the ith resident base station belongs to each preset complaint category'ijRepresents a value, omega ', of a jth preset complaint category corresponding to the ith resident base station after normalization'jAnd representing a second weight value corresponding to the jth preset complaint category.
7. A mobile network complaint positioning device, comprising:
the first determining module is used for determining at least one resident base station corresponding to user equipment according to user complaint information, wherein the user complaint information is used for determining the user equipment, and the resident base station is a base station with the interaction times with the user equipment larger than a preset first time threshold;
an obtaining module, configured to obtain at least one interaction indicator of the user equipment and each of the permanent base stations, where the interaction indicator is a preset indicator of a user complaint generated when the user equipment interacts with the permanent base station;
a second determining module, configured to determine, according to at least one of the interaction indicators and a first weight value corresponding to the interaction indicator, a first probability that the user equipment interacts with each of the residential base stations, respectively;
and the positioning module is used for determining a target complaint base station according to the first probability and taking a preset complaint category to which the target complaint base station belongs as a target complaint category.
8. The mobile network complaint positioning device of claim 7, further comprising a distance determination module,
the distance determining module is used for determining the address information of each resident base station and the position of the user equipment; determining the distance between the user equipment and each resident base station according to the address information of each resident base station and the position of the user equipment;
the obtaining module is further configured to obtain at least one interaction index between the user equipment and each of the permanent base stations that meet a preset condition, where the permanent base station that meets the preset condition is a permanent base station whose distance from the user equipment is less than or equal to a preset distance threshold.
9. The mobile network complaint positioning device of claim 7, wherein the second determining module is further configured to determine the first probability that the user equipment interacts with each of the resident base stations according to the following formula:
Figure FDA0002069147660000031
wherein alpha isiRepresenting a first probability of interaction between the user equipment and the ith resident base station, m representing the number of the interaction indexes, wjRepresents a first weight value, gamma, corresponding to the jth interaction indexijThe value of the j interaction index corresponding to the i-th resident base station is normalized.
10. The mobile network complaint positioning device of claim 7, further comprising a third determination module, wherein the third determination module is configured to determine the complaint category to which each of the resident base stations belongs according to at least one type of the preset complaint category and a second weighted value corresponding to the preset complaint category, and the second weighted value is related to the preset complaint category.
11. The mobile network complaint positioning device of claim 10, wherein the third determining module is further configured to determine a second probability that the resident base station belongs to each of the preset complaint categories according to at least one of the preset complaint categories and a second weight value corresponding to the preset complaint categories;
and taking the preset complaint category corresponding to the probability value of the second probability being greater than the preset adjustment threshold value as the complaint category to which the resident base station belongs.
12. The mobile network complaint positioning device of claim 11, wherein the third determining module is further configured to determine the second probability that the resident base station belongs to each of the preset complaint categories according to the following formula:
Figure FDA0002069147660000041
wherein, the betaiA second probability, gamma ', representing that the ith resident base station belongs to each preset complaint category'ijRepresents a value, omega ', of a jth preset complaint category corresponding to the ith resident base station after normalization'jAnd representing a second weight value corresponding to the jth preset complaint category.
13. An access network device, characterized in that the access network device comprises: a processor, a transceiver, and a memory; wherein the memory is used for storing one or more programs, the one or more programs comprising computer-executable instructions, and when the access network equipment runs, the processor executes the computer-executable instructions stored in the memory to make the access network equipment execute the mobile network complaint positioning method of any one of claims 1 to 6.
14. A computer readable storage medium having stored therein instructions which, when executed by a computer, cause the computer to perform the mobile network complaint location method of any one of claims 1-6 above.
15. A computer program product comprising instructions for executing the mobile network complaint location method of any one of claims 1-6 when the computer program product runs on a computer.
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