CN110267288A - Mobile network complains localization method and device - Google Patents
Mobile network complains localization method and device Download PDFInfo
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- CN110267288A CN110267288A CN201910431531.9A CN201910431531A CN110267288A CN 110267288 A CN110267288 A CN 110267288A CN 201910431531 A CN201910431531 A CN 201910431531A CN 110267288 A CN110267288 A CN 110267288A
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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
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- 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
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Abstract
This application discloses a kind of mobile networks to complain localization method and device, is related to the communications field, human resources needed for complaining positioning for reducing mobile network.This method comprises: determining at least one corresponding resident base station of user equipment according to customer complaint information, for customer complaint information for determining user equipment, residing base station is the base station for being greater than default first frequency threshold value with user equipment interaction times；At least one interaction index of user equipment and each resident base station is obtained, interaction index is the pre-set level that customer complaint is generated when user equipment is interacted with resident base station；Determine the first probability that user equipment is interacted with each resident base station respectively according to corresponding first weighted value of at least one interaction index and interaction index；Base station is complained according to the first determine the probability target and complains classification using default complaint classification belonging to target complaint base station as target.
Description
Technical field
This application involves mobile communication technology fields more particularly to a kind of mobile network to complain localization method and device.
Background technique
It with mobile subscriber's network scale is constantly increasing to expansion and mobile phone application type, user is to movement
The demand of network is being continuously increased, and certainly exists local contradiction between the increasingly increased network demand of user and network Development, from
And lead to customer complaint.How quick response, be accurately positioned it is mobile complain, efficiently solve the problems, such as in a short time, promotion client
Satisfaction, it has also become the key point of operator's promotion customer perception.
It is anti-that traditional mobile complaint localization method mainly includes the following steps: that the engineer of network department is connected to contact staff
After the complaint list of feedback, complaint address lookup, the positioning of periphery website are carried out, associated stations index is inquired by network management system, according to
Website index tentatively judges network condition, and network condition is fed back to client.Traditional mobile complaint localization method relies on manually,
It is mobile to complain position fixing process cumbersome, inefficiency.
Summary of the invention
The embodiment of the present application provides a kind of mobile network and complains localization method and device, and can rapidly analyze causes to use
The target BS and target that family is complained complain classification, without putting into a large amount of human resources.In order to achieve the above objectives, the application is real
Example is applied using following scheme:
In a first aspect, providing a kind of mobile network's complaint localization method, comprising: determine that user sets according to customer complaint information
At least one standby corresponding resident base station, for customer complaint information for determining user equipment, residing base station is to hand over user equipment
Mutual number is greater than the base station of default first frequency threshold value；It obtains user equipment and at least one interaction of each resident base station refers to
Mark, interaction index are the pre-set level that customer complaint is generated when user equipment is interacted with resident base station；According at least one interaction
Index and corresponding first weighted value of interaction index determine the first probability that user equipment is interacted with each resident base station respectively；Root
Base station is complained according to the first determine the probability target and complains classification using default complaint classification belonging to target complaint base station as target.
Based on above-mentioned side's technology case, mobile network provided by the present application complains localization method that can determine that user equipment is corresponding
At least one resident base station, at least one interaction index of user equipment and each resident base station is obtained, according at least one
Interaction index and corresponding first weighted value of interaction index determine that user equipment is interacted with each resident base station first is general respectively
Rate is complained base station according to the first determine the probability target and is complained using default complaint classification belonging to target complaint base station as target
Classification.The probability interacted by user equipment with each resident base station, can rapidly analyze the target for leading to customer complaint
Base station and target complain classification, without putting into a large amount of human resources.
It is described to obtain the user equipment and interacted at least one of each resident base station in a kind of possible design
Before the step of index, the method also includes: determine each resident base station address information and the user equipment
Position；The user equipment and each is determined according to the position of the address information of each resident base station and the user equipment
The distance of the resident base station；Described at least one interaction index for obtaining the user equipment and each resident base station,
Include: at least one interaction index for obtaining the user equipment with meeting each of preset condition resident base station, meets
The resident base station of preset condition is the resident base station for being less than or equal to pre-determined distance threshold value at a distance from the user equipment.
Mobile network provided by the present application complains localization method, by determining that user equipment, can at a distance from resident base station
To filter out the resident base station for being unsatisfactory for preset condition, and then improve the accuracy rate for determining target BS.
It is described according to interaction index described at least one and the interaction index corresponding first in a kind of possible design
Weighted value determines that the step of the first probability that the user equipment is interacted with each resident base station includes: according to as follows respectively
Method shown in formula determines the first probability that the user equipment is interacted with each resident base station:
Wherein, αiIndicate that the first probability that the user equipment is interacted with i-th of resident base station, m indicate that the interaction refers to
Target number, wjIndicate corresponding first weighted value of j-th of interaction index, γijIt indicates to the corresponding jth in i-th of resident base station
A interaction index be standardized after value.
In a kind of possible design, it is described using the target complain base station belonging to default complaint classification as target complaint
Before classification, the method also includes: according at least a kind of default complaint classification and the default complaint classification corresponding second
Weighted value determines complaint classification belonging to each resident base station, second weighted value and the default complaint classification respectively
It is related.
In a kind of possible design, the basis is at least a kind of default to complain classification and the default complaint classification corresponding
Second weighted value determines that complaint class method for distinguishing belonging to each resident base station includes: according at least a kind of default throwing respectively
Tell that classification and corresponding second weighted value of the default complaint classification determine that the resident base station belongs to every a kind of default throwing respectively
Tell the second probability of classification；Using probability value in second probability be greater than the corresponding default complaint classification of default adjustment threshold value as
Complaint classification belonging to the resident base station.
Mobile network provided by the present application complains localization method, complains classification corresponding with default according to default complaint classification
Second weighted value can determine that resident base station belongs to default the second probability for complaining classification, probability value in the second probability is greater than
The default corresponding default complaint classification of threshold value that adjusts is as complaint classification belonging to resident base station.It is each resident by predefining
Complaint classification belonging to base station can directly determine corresponding complaint classification after being determined that target complains base station.
In a kind of possible design, the basis is at least a kind of default to complain classification and the default complaint classification corresponding
Second weighted value determine respectively the step of resident base station belongs to every a kind of default the second probability for complaining classification include: according to
Method shown in following formula determines that the resident base station belongs to every a kind of default the second probability for complaining classification:
Wherein, the βiIndicate that i-th of resident base station belongs to every a kind of default the second probability for complaining classification, γ 'ijIt indicates
It is default to the corresponding jth class in i-th of resident base station complain classification to be standardized after value, ω 'jIndicate that the jth class is default
Complain corresponding second weighted value of classification.
Second aspect provides a kind of mobile network and complains positioning device, comprising: the first determining module, for according to
Family calling information determines at least one corresponding resident base station of user equipment, and the customer complaint information is for determining the user
Equipment, the resident base station are the base station for being greater than default first frequency threshold value with the user equipment interaction times；Module is obtained,
For obtaining at least one interaction index of the user equipment Yu each resident base station, the interaction index is the use
The pre-set level of customer complaint is generated when family equipment is interacted with the resident base station；Second determining module, for according at least one
A interaction index and corresponding first weighted value of the interaction index determine respectively the user equipment and it is each it is described often
First probability of interaction in base station；Locating module, for complaining base station according to the first determine the probability target and by the mesh
Mark complains default complaint classification belonging to base station to complain classification as target.
In a kind of possible design, it further includes the distance apart from determining module that the mobile network, which complains positioning device,
Determining module is used to determine the address information of each resident base station and the position of the user equipment；According to each described normal
Determine the user equipment at a distance from each resident base station in the address information of base station and the position of the user equipment；
It is described obtain module be also used to obtain the user equipment with meet each of preset condition resident base station at least one
Interaction index, it is normal less than or equal to pre-determined distance threshold value at a distance from the user equipment for meeting the resident base station of preset condition
In base station.
In a kind of possible design, described in second determining module is also used to determine according to method shown in following formula
The first probability that user equipment is interacted with each resident base station:
Wherein, αiIndicate that the first probability that the user equipment is interacted with i-th of resident base station, m indicate that the interaction refers to
Target number, wjIndicate corresponding first weighted value of j-th of interaction index, γijIt indicates to the corresponding jth in i-th of resident base station
A interaction index be standardized after value.
In a kind of possible design, it further includes third determining module, the third that the mobile network, which complains positioning device,
Determining module is used for true according at least a kind of default complaint classification and the corresponding second weighted value difference of the default complaint classification
Complaint classification belonging to fixed each resident base station, second weighted value are related to the default complaint classification.
In a kind of possible design, the third determining module is also used to according at least a kind of default classification and described complained
It is default that corresponding second weighted value of classification is complained to determine that the resident base station belongs to the second of every a kind of default complaint classification respectively
Probability；Probability value in second probability is greater than the corresponding default complaint classification of default adjustment threshold value as the resident base station
Affiliated complaint classification.
In a kind of possible design, described in the third determining module is also used to determine according to method shown in following formula
Resident base station belongs to every a kind of default the second probability for complaining classification:
Wherein, the βiIndicate that i-th of resident base station belongs to every a kind of default the second probability for complaining classification, γ 'ijIt indicates
It is default to the corresponding jth class in i-th of resident base station complain classification to be standardized after value, ω 'jIndicate that the jth class is default
Complain corresponding second weighted value of classification.
The third aspect, provides a kind of access network equipment, and the access network equipment includes: processor, transceiver and storage
Device；Wherein, for the memory for storing one or more programs, which includes computer executed instructions,
When access network equipment operation, processor executes the computer executed instructions of memory storage, so that the access net is set
It is standby to execute the complaint localization method of mobile network described in first aspect.
Fourth aspect provides a kind of computer readable storage medium, instruction is stored in computer readable storage medium,
When computer executes the instruction, which executes mobile network described in above-mentioned first aspect and complains localization method.
5th aspect, provides a kind of computer program product comprising instruction, when the computer program product is being counted
When running on calculation machine, which executes mobile network described in above-mentioned first aspect and complains localization method.
Detailed description of the invention
Fig. 1 is the step schematic diagram that a kind of mobile network provided by the embodiments of the present application complains localization method；
Fig. 2 is the structural schematic diagram that a kind of mobile network provided by the embodiments of the present application complains positioning device；
Fig. 3 is a kind of structural schematic diagram of access network equipment provided by the embodiments of the present application.
Specific embodiment
Term " first " and " second " in the description of the present application and attached drawing etc. be for distinguishing different objects, or
Person is used to distinguish the different disposal to same target, rather than is used for the particular order of description object.
In addition, the term " includes " being previously mentioned in the description of the present application and " having " and their any deformation, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of other are not listed or unit, or optionally
It further include the other step or units intrinsic for these process, methods, product or equipment.
It should be noted that in the embodiment of the present application, " illustrative " or " such as " etc. words make example, example for indicating
Card or explanation.Be described as in the embodiment of the present application " illustrative " or " such as " any embodiment or design scheme do not answer
It is interpreted than other embodiments or design scheme more preferably or more advantage.Specifically, " illustrative " or " example are used
Such as " word is intended to that related notion is presented in specific ways.
As shown in Figure 1, for a kind of mobile network's complaint localization method provided by the embodiments of the present application, this method may include
Following steps:
S101, at least one corresponding resident base station of user equipment is determined according to customer complaint information.
Wherein, for customer complaint information for determining user equipment, residing base station is to be greater than in advance with user equipment interaction times
If the base station of the first frequency threshold value.
Illustratively, customer complaint information can include but is not limited to complain the time, complain address, complaint problem and throwing
Tell number.
It is alternatively possible to carry out standardization processing to customer complaint information, calling information library is established.Wherein, calling information
Library can be expressed as T, T={ t1,t1,…,tn, tnIndicate nth user's calling information.
As a kind of implementation, user equipment can carry out data interaction, part base with multiple base stations in use
It stands more with customer equipment data interaction times, portion of base stations generation causes the probability of customer complaint failure higher, in order to
It is enough rapidly to analyze the base station for leading to customer complaint, default first frequency threshold value can will be greater than with user equipment interaction times
Base station as resident base station.
Wherein, presetting the first frequency threshold value can use and needs arbitrarily determine according to actual, and the embodiment of the present application exists
This is without limitation.Below in order to avoid repeating, in the case where not specified, the explanation to similar description is omitted.
Illustratively, resident base station can be determined as follows:
Signaling extraction is carried out when user equipment is interacted at least one base station, counts time that cell in signaling process occurs
Frequency of occurrence is greater than the corresponding base station of cell of default second frequency threshold value as the corresponding resident base station of user equipment by number.
Wherein, resident base station can have multiple, can establish resident base station library based on multiple resident base stations, reside base station library
It can be expressed as U={ u1,u2,…,ui, uiIndicate i-th of resident base station.
It is understood that user equipment, which will lead at a distance from resident base station greater than pre-determined distance threshold value, judges that user throws
The accuracy for the target BS told reduces.In order to more accurately analyze the base station for leading to customer complaint, use can be determined
Family equipment is at a distance from each resident base station.
Illustratively, can determine user equipment at a distance from each resident base station as follows:
The complaint address information in calling information library is parsed, word relevant to address information is complained in calling information library is chosen
Section complains the longitude and latitude of address to obtain user equipment, complains the longitude and latitude of address and resident base station according to user equipment
Longitude and latitude determines the linear distance of user equipment Yu resident base station.
Wherein, field relevant to address information is complained can include but is not limited to the address longitude and latitude of user equipment, use
Floor information etc. where building type where family equipment region, user equipment and user equipment.According to complaint address letter
The related datas such as user equipment peripheral cell ID, cell longitude and latitude can also be obtained by ceasing relevant field.
If the linear distance of user equipment and resident base station less than or equal to pre-determined distance threshold value, thens follow the steps S102 and will
It is included in first diagnostics library in resident base station library the resident base station.
Wherein, the first diagnostics library, which is used to store, is less than or equal to the resident of pre-determined distance threshold value with the linear distance of user equipment
Base station.
If the linear distance of user equipment and resident base station is greater than pre-determined distance threshold value, this can be resided into base station and be included in
In the second opinion library in resident base station library.
It is understood that causing the accuracy rate of the resident base station of customer complaint to will be far below point in analysis second opinion library
The accuracy rate for leading to the resident base station of customer complaint in the first diagnostics library is analysed, it, can in order to improve the accuracy rate of positioning target BS
To lead to the target BS of customer complaint by being positioned manually in second opinion library.
Wherein, target BS be with the base station broken down in customer equipment data interactive process, target category is failure
Classification can refer to the default complaint classification of S104, and details are not described herein.
S102, at least one interaction index for obtaining user equipment and each resident base station.
Wherein, interaction index is the pre-set level that customer complaint is generated when user equipment is interacted with resident base station.
Optionally, interaction index may include range information, the user equipment that user equipment complains address and resident base station
With the practical occupancy of uplink and downlink flow information and Physical Resource Block for connecting number, user equipment and resident base station of resident base station
Bandwidth (physical resource block, PRB) utilization rate information etc..
Illustratively, interaction index can indicate are as follows:
Wherein, uijIndicate the value of j-th of interaction index of user equipment and i-th of resident base station, i=1,2 ..., n, j=
1,2 ..., m, n indicate the quantity of resident base station, and m indicates the quantity of interaction index.
S103, according to corresponding first weighted value of at least one interaction index and interaction index respectively determine user equipment with
First probability of each resident base station interaction.
It is understood that each interaction index both corresponds to first weighted value, the first weight value set can be with table
It is shown as w1,w2,…,wj, wjIndicate the corresponding weighted value of j-th of interaction index.According at least one interaction index and interaction index
Corresponding first weighted value can determine user equipment and the first probability that each resident base station interacts respectively, and the first probability can be with
Indicate the tightness degree that user equipment is interacted with base station.
As a kind of implementation method, user equipment can be determined according to method shown in following formula (1) and is each resided
First probability of base station interaction:
Wherein, αiIndicate that the first probability that user equipment is interacted with i-th of resident base station, m indicate the quantity of interaction index,
wjIndicate corresponding first weighted value of j-th of interaction index, γijIt indicates to corresponding j-th of the interaction index in i-th of resident base station
Value after being standardized,
It should be noted that the sum of first probability that user equipment is interacted with all resident base stations is 1, i.e.,
S104, base station is complained according to the first determine the probability target and complains default complaint classification belonging to base station to make target
Classification is complained for target.
Wherein, presetting and complaining classification is by analysis customer complaint historical data and to the network problem for causing customer complaint
Carry out classification determination.Optionally, default complaint classification may include network failure, network load is excessive, the network coverage is insufficient
And the classification informations such as network interferences, such as zero traffic duration information and average signal interference strength information.
Illustratively, presetting complains classification that can indicate are as follows:
Wherein, u 'ijIndicate that classification default is complained corresponding j-th in i-th of resident base station.
It is understood that can using probability value in the first probability be greater than the corresponding resident base station of predetermined probabilities threshold value as
Target BS correspondingly can complain classification for the complaint classification belonging to target BS as target.
It is alternatively possible to be distinguished according at least a kind of default complaint classification the second weighted value corresponding with default complaint classification
Determine complaint classification belonging to each resident base station.
Wherein, the second weighted value complains classification related to default, and each default complaint classification both corresponds to one second power
Weight values, the second weight value set can be expressed as ω '1,ω′2,…,ω′j, ω 'jIndicate that j-th of default complaint classification is corresponding
Weighted value.
As a kind of implementation, according at least a kind of default complaint classification the second weight corresponding with default complaint classification
Value determines that default complaint class method for distinguishing belonging to each resident base station may include: respectively
Resident base is determined respectively according at least a kind of default complaint classification the second weighted value corresponding with default complaint classification
Station belongs to every a kind of default the second probability for complaining classification；
Probability value in second probability is greater than the corresponding default complaint classification of default adjustment threshold value as belonging to resident base station
Complaint classification.
It is alternatively possible to determine that resident base station belongs to every a kind of default complaint class according to method described in following formula (2)
Other second probability:
Wherein, βiIndicate that i-th of resident base station belongs to every a kind of default the second probability for complaining classification, ω 'jIndicate jth class
It is default to complain corresponding second weighted value of classification, γ 'ijIndicate it is default to the corresponding jth class in i-th of resident base station complain classification into
Value after row standardization,
It is understood that in order to further increase the accuracy for complaining positioning, it can be according to the reality of user and base station
Situation dynamic adjustment Internet index and the weighted value for complaining classification network index.The embodiment of the present application can also include as follows
Step:
If the first probability is less than default the first adjustment threshold value, the first weighted value is redefined；And/or
If the second probability is less than default second adjustment threshold value, the second weighted value is redefined.
It is alternatively possible to redefine the first weighted value and the second weight according to method described in following formula (3) and (4)
Value:
Wherein, ωj1Indicate the first weighted value redefined, ω 'j1Indicate that the second weighted value redefined, α indicate
Step-length, initial value are random value,Expression seeks local derviation to f (ω).
Optionally, the corresponding method of above-mentioned formula can there are many title, such as gradient descent algorithm, the embodiment of the present application
It is not limited here.
By the first weighted value of iteration optimization and the second weighted value, so that the first weighted value and the convergence of the second weighted value, root
According to after convergence the first weighted value and the second weighted value redefine default throwing belonging to the first probability and each resident base station
Tell classification.
Illustratively, it can be redefined by method shown in following formula (5) and be preset belonging to each resident base station
Complain classification:
Optionally, the corresponding method of above-mentioned formula can determine that target complains base station, such as Softmax by many kinds of function
Function, the embodiment of the present application is it is not limited here.
It, can be into conjunction with the first probability it is understood that after determining default complaint classification belonging to each resident base station
One step determines that target complains base station and target to complain classification.
Illustratively, complain base station and target that classification is complained to be illustrated determining target in conjunction with such as following table:
| Resident base station | First probability |
| A resides base station | αA |
| B resides base station | αB |
| C resides base station | αC |
Assuming that resident base station is respectively A, B, C, corresponding first probability in tri- base stations A, B, C is respectively αA、αB、αC, can be with
Probability value in first probability is greater than the corresponding resident base station of predetermined probabilities threshold value as target BS, if A resides base station and corresponds to
The first probability αAGreater than predetermined probabilities threshold value, then A is resided into base station as target BS, correspondingly, in step S104 really
Determine each to reside the corresponding default complaint classification in base station, then A can be resided to the corresponding default complaint classification in base station as mesh
Mark complains classification.
Mobile network provided by the present application complains localization method that can rapidly analyze the target base for leading to customer complaint
It stands and target complains classification, without putting into a large amount of human resources.In addition, mobile network provided by the present application complains localization method
The weighted value that can also dynamic adjustment Internet index and complain classification network index, according to the actual conditions of user and base station
It is adjusted, improves the accuracy of positioning.
Based on the embodiment of above-mentioned Fig. 1, the embodiment of the present application also provides a kind of mobile network's complaint positioning device.Such as Fig. 2
It is shown, for a kind of mobile network's complaint positioning device provided by the embodiments of the present application, wherein the mobile network complains positioning device
Include: the first determining module 21, obtain module 22, the second determining module 23 and locating module 24.
First determining module 21, for determining at least one corresponding resident base of user equipment according to customer complaint information
It stands, for customer complaint information for determining user equipment, residing base station is to be greater than to preset first number with user equipment interaction times
The base station of threshold value.
Module 22 is obtained, for obtaining at least one interaction index of user equipment and each resident base station, interaction index
The pre-set level of customer complaint is generated when interacting for user equipment with resident base station.
Second determining module 23, for being distinguished according to corresponding first weighted value of at least one interaction index and interaction index
Determine the first probability that user equipment is interacted with each resident base station.
Locating module 24 is preset belonging to base station for complaining base station according to the first determine the probability target and complaining target
Classification is complained to complain classification as target.
In a kind of possible design, it further includes apart from determining module, apart from determining module that mobile network, which complains positioning device,
For determining the address information of each resident base station and the position of user equipment；According to the address information and use of each resident base station
The position of family equipment determines user equipment at a distance from each resident base station；
Module 22 is obtained to be also used to obtain user equipment and meet at least one friendship of the resident base station of each of preset condition
Mutual index, the resident base station for meeting preset condition is the resident base for being less than or equal to pre-determined distance threshold value at a distance from user equipment
It stands.
In a kind of possible design, the second determining module 23 is also used to determine that user sets according to method shown in formula (1)
Standby the first probability interacted with each resident base station.
In a kind of possible design, it further includes third determining module, third determining module that mobile network, which complains positioning device,
It is determined respectively at least a kind of default complaint classification of basis the second weighted value corresponding with default complaint classification and each resides base
Complaint classification belonging to standing, the second weighted value complain classification related to default.
In a kind of possible design, third determining module is also used to default complain classification according at least a kind of and default complain
Corresponding second weighted value of classification determines that resident base station belongs to every a kind of default the second probability for complaining classification respectively；It is general by second
Probability value is greater than the corresponding default complaint classification of default adjustment threshold value as complaint classification belonging to resident base station in rate.
In a kind of possible design, third determining module is also used to determine resident base station according to method shown in formula (2)
Belong to every a kind of default the second probability for complaining classification.
The embodiment of the present application complains the module of positioning device to divide mobile network, is a kind of illustrative explanation, in reality
Mobile network's complaint positioning device of the embodiment of the present application can be constituted in border there are many division methods of module.
As shown in figure 3, Fig. 3 schematically illustrates a kind of structural representation of access network equipment provided by the embodiments of the present application
Figure, wherein the access network equipment includes processor 301, transceiver 302 and memory 303.Wherein, memory 303 is for storing
One or more programs, which includes computer executed instructions, when access network equipment operation, processor
301 execute the computer executed instructions of the memory 303 storage, so that reality as shown in Figure 1 may be implemented in the access network equipment
The mobile network for applying example offer complains localization method.
The embodiment of the present application also provides a kind of computer readable storage medium, it is stored in computer readable storage medium
Instruction, when computer executes the instruction, which may be implemented the mobile network that embodiment as shown in Figure 1 provides and throws
Tell localization method.
The embodiment of the present application also provides a kind of computer program products comprising instruction, when computer program product is being counted
When running on calculation machine, which may be implemented the mobile network that embodiment as shown in Figure 1 provides and complains localization method.
It is apparent to those skilled in the art that for convenience and simplicity of description, only with above-mentioned each function
The division progress of module can according to need and for example, in practical application by above-mentioned function distribution by different function moulds
Block is completed, i.e., the internal structure of device is divided into different functional modules, to complete all or part of function described above
Energy.The specific work process of the system, apparatus, and unit of foregoing description, can be with reference to corresponding in preceding method embodiment
Journey, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the module or
The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units
Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, institute
Display or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit
Indirect coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the application
The all or part of the steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
In conclusion above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although referring to before
Embodiment is stated the application is described in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (15)
1. a kind of mobile network complains localization method characterized by comprising
At least one corresponding resident base station of user equipment is determined according to customer complaint information, and the customer complaint information is for true
The fixed user equipment, the resident base station are the base for being greater than default first frequency threshold value with the user equipment interaction times
It stands；
At least one interaction index of the user equipment Yu each resident base station is obtained, the interaction index is the use
The pre-set level of customer complaint is generated when family equipment is interacted with the resident base station；
Determine that the user sets respectively according to interaction index described at least one and corresponding first weighted value of the interaction index
Standby the first probability interacted with each resident base station；
Base station is complained according to the first determine the probability target and complains default complaint classification belonging to base station to make the target
Classification is complained for target.
2. mobile network according to claim 1 complains localization method, which is characterized in that described to obtain the user equipment
Before the step of at least one interaction index of each resident base station, the method also includes:
Determine the address information of each resident base station and the position of the user equipment；
The user equipment and each is determined according to the position of the address information of each resident base station and the user equipment
The distance of the resident base station；
Described at least one interaction index for obtaining the user equipment and each resident base station, comprising:
It obtains the user equipment and meets at least one interaction index of each of preset condition resident base station, meet pre-
If the resident base station of condition is the resident base station for being less than or equal to pre-determined distance threshold value at a distance from the user equipment.
3. mobile network according to claim 1 complains localization method, which is characterized in that described according at least one
Interaction index and corresponding first weighted value of the interaction index determine the user equipment and each resident base station respectively
The step of interactive first probability includes:
The first probability that the user equipment is interacted with each resident base station is determined according to method shown in following formula:
Wherein, αiIndicate that the first probability that the user equipment is interacted with i-th of resident base station, m indicate of the interaction index
Number, wjIndicate corresponding first weighted value of j-th of interaction index, γijIt indicates to corresponding j-th of the interaction in i-th of resident base station
Index be standardized after value.
4. mobile network according to claim 1 complains localization method, which is characterized in that described that the target is complained base
Before default complaint classification belonging to standing complains classification as target, the method also includes:
Each institute is determined respectively according at least a kind of default complaint classification and corresponding second weighted value of the default complaint classification
Complaint classification belonging to resident base station is stated, second weighted value is related to the default complaint classification.
5. mobile network according to claim 4 complains localization method, which is characterized in that the basis is at least a kind of default
Classification and corresponding second weighted value of the default complaint classification is complained to determine complaint belonging to each resident base station respectively
Class method for distinguishing includes:
It is determined respectively according at least a kind of default complaint classification and corresponding second weighted value of the default complaint classification described normal
Belong to every a kind of default the second probability for complaining classification in base station；
Probability value in second probability is greater than the corresponding default complaint classification of default adjustment threshold value as the resident base station
Affiliated complaint classification.
6. mobile network according to claim 5 complains localization method, which is characterized in that the basis is at least a kind of default
Classification and corresponding second weighted value of the default complaint classification is complained to determine that the resident base station belongs to respectively every a kind of default
Complain classification the second probability the step of include:
Determine that the resident base station belongs to every a kind of default the second probability for complaining classification according to method shown in following formula:
Wherein, the βiIndicate that i-th of resident base station belongs to every a kind of default the second probability for complaining classification, γ 'ijIt indicates to the
The corresponding jth class in the resident base station i is default complain classification to be standardized after value, ω 'jIt indicates that the jth class is default to complain
Corresponding second weighted value of classification.
7. a kind of mobile network complains positioning device characterized by comprising
First determining module, it is described for determining at least one corresponding resident base station of user equipment according to customer complaint information
For customer complaint information for determining the user equipment, the resident base station is to be greater than to preset with the user equipment interaction times
The base station of first frequency threshold value；
Module is obtained, for obtaining at least one interaction index of the user equipment Yu each resident base station, the friendship
Coreference is designated as generating the pre-set level of customer complaint when the user equipment is interacted with the resident base station；
Second determining module, for according to interaction index described at least one and corresponding first weighted value point of the interaction index
The first probability that the user equipment is interacted with each resident base station is not determined；
Locating module, for complaining base station according to the first determine the probability target and complaining the target pre- belonging to base station
If classification is complained to complain classification as target.
8. mobile network according to claim 7 complains positioning device, which is characterized in that the mobile network complains positioning
Device further include apart from determining module,
The position for being used to determine the address information and the user equipment of each resident base station apart from determining module；Root
According to the address information of each resident base station and the position of the user equipment determine the user equipment and it is each it is described often
Distance in base station；
The acquisition module is also used to obtain the user equipment and meets each of preset condition resident base station at least
One interaction index, the resident base station for meeting preset condition are to be less than or equal to pre-determined distance threshold value at a distance from the user equipment
Resident base station.
9. mobile network according to claim 7 complains positioning device, which is characterized in that second determining module is also used
In determining the first probability that the user equipment is interacted with each resident base station according to method shown in following formula:
Wherein, αiIndicate that the first probability that the user equipment is interacted with i-th of resident base station, m indicate of the interaction index
Number, wjIndicate corresponding first weighted value of j-th of interaction index, γijIt indicates to corresponding j-th of the interaction in i-th of resident base station
Index be standardized after value.
10. mobile network according to claim 7 complains positioning device, which is characterized in that the mobile network complains fixed
Position device further includes third determining module, and the third determining module is used for according at least a kind of default classification and described pre- complained
If corresponding second weighted value of classification is complained to determine complaint classification belonging to each resident base station, second weight respectively
It is worth related to the default complaint classification.
11. mobile network according to claim 10 complains positioning device, which is characterized in that the third determining module is also
It is described normal for being determined respectively according at least a kind of default complaint classification and corresponding second weighted value of the default complaint classification
Belong to every a kind of default the second probability for complaining classification in base station；
Probability value in second probability is greater than the corresponding default complaint classification of default adjustment threshold value as the resident base station
Affiliated complaint classification.
12. mobile network according to claim 11 complains positioning device, which is characterized in that the third determining module is also
For determining that the resident base station belongs to every a kind of default the second probability for complaining classification according to method shown in following formula:
Wherein, the βiIndicate that i-th of resident base station belongs to every a kind of default the second probability for complaining classification, γ 'ijIt indicates to the
The corresponding jth class in the resident base station i is default complain classification to be standardized after value, ω 'jIt indicates that the jth class is default to complain
Corresponding second weighted value of classification.
13. a kind of access network equipment, which is characterized in that the access network equipment includes: processor, transceiver and memory；Its
In, the memory is for storing one or more programs, which includes computer executed instructions, when this connects
When log equipment is run, processor executes the computer executed instructions of memory storage, so that the access network equipment executes
Mobile network described in any one of claims 1 to 6 complains localization method.
14. a kind of computer readable storage medium, it is stored with instruction in computer readable storage medium, is referred to when computer executes this
When enabling, which executes mobile network described in any one of the claims 1 to 6 and complains localization method.
15. a kind of computer program product comprising instruction, when the computer program product is run on computers, the meter
Calculation machine executes mobile network described in any one of the claims 1 to 6 and complains localization method.
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