CN105050119B - A kind of mobility statistical method and device - Google Patents
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Abstract
The embodiment of the present invention provides a kind of mobility statistical method and device, at least to solve the problems, such as in the prior art without the mobility statistical project for UE in mobile communications network.Method includes: whole MR that all UE in the default network range for obtaining and acquiring in preset time are reported, wherein, in each MR that each UE in all UE is reported comprising calling time on the MR, the network element ID of network and the user identifier of the UE where the UE；According to each MR that each UE is reported, whether the network element ID of network changes where determining each UE described in each statistics stage；If changing, the traveling time of each UE when the network element ID of network changes where obtaining each UE；When the traveling time of each UE is not less than the first preset value, according to preset rules, the user property of each UE is determined；According to the user property of each UE, the statistical data characterized by number of users is exported.The present invention is suitable for the communications field.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of mobility statistical method and devices.
Background technique
Mobility refers to that user equipment (User Equipment, referred to as: UE) can enter one or more in any place
The characteristic that a communication network is communicated.Wherein, in the commodity network optimization of mobile communications network, the mobility of UE is related to moving
Therefore the division of dynamic communication network architecture, the parameter configuration etc. of different scenes are united for the mobility of UE in mobile communications network
Meter has extremely important meaning to network of relation index optimization and user experience.
However, so far, it is not directed to the mobility statistical project of UE in mobile communications network in the prior art, because
How this, the mobility of UE is counted in mobile communications network, becomes current urgent problem to be solved.
Summary of the invention
The embodiment of the present invention provides a kind of mobility statistical method and device, at least to solve in the prior art without needle
To in mobile communications network the problem of the mobility statistical project of UE.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, providing a kind of mobility statistical method, which comprises
Obtain whole MR that all UE in the default network range acquired in preset time are reported, wherein described all
In each MR that each UE in UE is reported comprising calling time on the MR, where the UE network network element ID and the UE
User identifier；
According to each MR that each UE is reported, the network element mark of network where determining each UE described in each statistics stage
Know and whether changes；
If changing, the movement of each UE when the network element ID of network changes where obtaining each UE
Time；
When the traveling time of each UE is not less than the first preset value, according to preset rules, each UE is determined
User property, wherein the user property includes boundary user, fixed user and mobile subscriber；
According to the user property of each UE, the statistical data characterized by number of users is exported.
Mobility statistical method based on the embodiment of the present invention, may be implemented the movement to UE in mobile communications network
Property statistics, to provide foundation for area covered, the band of position optimization etc. in commodity network.
Second aspect provides a kind of mobility statistic device, which is characterized in that the statistic device include: acquiring unit,
Determination unit and output unit；
The acquiring unit, for obtaining all user equipment (UE)s in the default network range acquired in preset time
Whole measurement report MR of report, wherein in each MR that each UE in all UE is reported comprising calling time on the MR,
The network element ID of network and the user identifier of the UE where the UE；
The determination unit, each MR for being reported according to each UE are determined each described in each statistics stage
Whether the network element ID of network changes where UE；
The acquiring unit, if being also used to change, the network element ID of network changes where obtaining each UE
The traveling time of each UE when change；
The determination unit is also used to when the traveling time of each UE is not less than the first preset value, according to default
Rule determines the user property of each UE, wherein the user property includes boundary user, fixed user and mobile use
Family；
The output unit exports the statistical number characterized by number of users for the user property according to each UE
According to.
Mobility statistic device based on the embodiment of the present invention, may be implemented the movement to UE in mobile communications network
Property statistics, to provide foundation for area covered, the band of position optimization etc. in commodity network.
Detailed description of the invention
Fig. 1 is mobility statistical method flow diagram one provided in an embodiment of the present invention；
Fig. 2 is mobility statistical method flow diagram two provided in an embodiment of the present invention；
Fig. 3 is mobility statistical method flow diagram three provided in an embodiment of the present invention；
Fig. 4 is mobility statistic device structural schematic diagram one provided in an embodiment of the present invention；
Fig. 5 is mobility statistic device structural schematic diagram two provided in an embodiment of the present invention.
Specific embodiment
Understand succinct for the description of following each embodiments, enumerates the formula being related in the embodiment of the present invention and not first
The related definition of each parameter in equation, specific as shown in Table 1:
Table one
It is defined as follows secondly, providing fixed user, boundary user and mobile subscriber:
In the embodiment of the present invention, fixed user, boundary user and mobile subscriber are according to each statistics stage UE in movement
What network element ID change number when moving in communication network was defined, wherein the user of Counter1≤Thr-C1 defines
For fixed user；Counter1 > Thr-C1, and the user of Counter1 < Thr-C2 is defined as boundary user；Counter1≥
The user of Thr-C2 is defined as mobile subscriber.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
For the ease of clearly describing the technical solution of the embodiment of the present invention, in an embodiment of the present invention, use " the
One ", the printed words such as " second " distinguish function and the essentially identical identical entry of effect or similar item, and those skilled in the art can
To understand that the printed words such as " first ", " second " are not defined quantity and execution order.
Embodiment one,
The embodiment of the present invention provides a kind of mobility statistical method, as shown in Figure 1, comprising:
S101, whole MR that all UE in the default network range acquired in preset time are reported are obtained, wherein described
In each MR that each UE in all UE is reported comprising calling time on the MR, where the UE network element ID of network and
The user identifier of the UE.
S102, each MR reported according to each UE, network where determining each UE described in each statistics stage
Whether network element ID changes.
If S103, changing, each UE when the network element ID of network changes where obtaining each UE
Traveling time.
S104, when the traveling time of each UE is not less than the first preset value, according to preset rules, determine described every
The user property of a UE, wherein the user property includes boundary user, fixed user and mobile subscriber.
S105, according to the user property of each UE, export the statistical data characterized by number of users.
Specifically, in step of embodiment of the present invention S101:
Preset time specifically can be 1 hour, 1 day, 1 week or 1 month etc., and the embodiment of the present invention is not made this specifically
It limits.
Default network range specifically can be with radio network controller (Radio Network Controller, referred to as:
RNC it is) network range of unit, is also possible to full-mesh network range etc., the present invention is not especially limit this.
MR refers to the information about the present position UER network signal situation that the UE in mobile communications network is reported, it is
Assess one of the main foundation of wireless environment quality.Wherein, in each MR comprising calling time on the MR, network where the UE
The user identifier of network element ID and the UE.Wherein, the network element ID of network where UE is commonly used to one cell of unique identification
The region that (base station/mono- sector cell) is covered；The user identifier of UE presets network range commonly used to unique identification
Interior a certain user, such as the user identifier can be international mobile subscriber identity (International Mobile
Subscriber Identification Number, referred to as: IMSI).
Wherein, MR usually is obtained from the acquisition server of MR, it is of course also possible to obtain MR, this hair otherwise
Bright embodiment is not especially limited this.
Specifically, in step of embodiment of the present invention S102:
In each MR reported according to each UE, the network element of network where determining each UE described in each statistics stage
When identifying whether to change, usually all UE acquired in step s101 whole MR reported are pre-processed first, that is,
By MR according to user identifier, on call time and be ranked up, and then successively determined according to ranking results every described in each statistics stage
Whether the network element ID of network changes where a UE, specifically refers to following examples, wouldn't describe herein.
Specifically, in step of embodiment of the present invention S103:
If changing, the movement of each UE when the network element ID of network changes where obtaining each UE
Time can specifically include:
If changing, according to the following formula (1), when the network element ID of network changes where obtaining each UE
The traveling time of each UE:
Timer3=Timer2-Timer1；Formula (1)
Wherein, the related meanings of Timer1, Timer2 and Timer3 can refer to table one, and details are not described herein again.
Specifically, in step of embodiment of the present invention S104:
As shown in Fig. 2, according to preset rules, being determined when the traveling time of each UE is not less than the first preset value
The user property of each UE, can specifically include:
S104a, when the traveling time of each UE is not less than the first preset value, obtain the network element mark of each UE
Know change number.
Wherein, the network element ID change number initial value of each UE is 0, and the network element ID of network changes where each UE
When change, if without this network element ID in network element change list, network element ID change number adds 1.
If S104b1, Counter1≤Thr-C1, determine the user property of each UE for fixed user.
If S10462, Counter1 > Thr-C1, and Counter1 < Thr-C2, determine the user property of each UE
For boundary user.
If S104b3, Counter1 >=Thr-C2, determine that the user property of each UE is mobile subscriber.
Wherein, the related meanings of Counter1, Thr-C1, Thr-C2 can refer to table one, and details are not described herein again.
Specifically, in step of embodiment of the present invention S 105:
Wherein, the statistical data list characterized by number of users may refer to table two, and " -- " indicates respective identification or data.
Table two
Further, as shown in figure 3, the network element ID of the network where each UE described in the determination each statistics stage
Whether change after (step S102), can also include:
If S106, not changing, determine the user property of each UE for fixed user.
That is, if the network element ID of network does not change where each UE in the statistics stage, being determined in the embodiment of the present invention
The UE is fixed user.
Further, each UE when the network element ID of network where acquisition each UE changes
After traveling time, can also include:
When the traveling time of each UE is less than first preset value, the net of network where recording each UE
The mapping relations of the network element ID after network element ID and change when member mark changes before changing；
When the traveling time of each UE is not less than first preset value, network where recording each UE
Network element ID when network element ID changes before changing.
It should be noted that in the embodiment of the present invention, the first preset value be according to specific environment, specific scene and
What the specific network optimization was set, be substantially a minimum time granularity of mobility statistics.Why to system
Meter analysis time range do restrictions, a UE only judges the specific object within the scope of limiting time, be because of
If being added without limiting time, for the UE in mobile communications network, most of UE is in different zones activity
, final the result is that overwhelming majority UE belongs to mobility user, mobility statistical result is also not in all senses.
For example for the statistics of working peak period, we wonder the main roads of the urban inner stream of people, then I
Can be set in peak period of this working of 7:00 to 9:00 the time, occur by counting in this period mobile subscriber
The frequency and the relatively high network element of number, it is the main path of the stream of people of going to work which road we, which can analyze, and then is carried out
The Optimization Support of emphasis.
It says for another example, for the optimization in position area in mobile communications network, it is intended that boundary user is few as far as possible, with
Reduce be not turned on caused by location updating, users and the network problem such as signaling traffic load, then for this time of peak of going to work
It is counted, since most people are all in mobile state, the influence to result is very big, is unfavorable for analyzing.We can use
The time of morning 3:00 or so is analyzed, and for this period most people all in the state of rest, the position of user is opposite
Stablize, if it is more to count on certain base station edge customers, illustrate, the base station overlapping covering in this region is more, uncomfortable
Cooperation is the boundary in position area；It, will not as the boundary in position area using this region if the boundary user of network element is less
Generate a large amount of location updating event.If using the period of working morning peak, since the feature of user causes under many base stations
It will appear mobile subscriber or boundary user, the location updating etc. generated this when is thing normal in network and must occurring
Part, therefore the result meaning counted is just far from the big of morning.
It is because it is to be analyzed according to specific that the specific time, which divides, in conclusion why setting the first preset value
Purpose, come what is counted, different time sections have different characteristics scene for the user in mobile communications network, right
Mobile communication network optimization has different meanings.If statistical result is also by not substantive meaning without qualifications.
Illustratively, it below in conjunction with specific data, provides and uses mobility statistical method provided in an embodiment of the present invention
Counted that detailed process is as follows to the mobility of UE in mobile communications network:
S1: whole MR that all UE in default network range are reported are acquired within a preset time, wherein all UE
In each MR for reporting of each UE in comprising the MR on call time, the network element ID of network where the UE and the UE
User identifier.
Specifically, whole MR that this example assumes that all UE are reported are as shown in Table 3, wherein network element ID=RNC mark+
Node identification.
Table three
| User identifier | On call time | RNC mark | Node identification |
| 4600XXX00001 | 14:39:00 | 353 | 100 |
| 4600XXX00002 | 14:39:01 | 353 | 100 |
| 4600XXX00003 | 14:39:01 | 353 | 101 |
| 4600XXX00001 | 14:39:08 | 353 | 100 |
| 4600XXX00002 | 14:39:10 | 353 | 100 |
| 4600XXX00001 | 14:39:15 | 353 | 101 |
| 4600XXX00002 | 14:39:17 | 353 | 100 |
| 4600XXX00001 | 14:39:23 | 353 | 101 |
| 4600XXX00003 | 14:39:23 | 353 | 102 |
| 4600XXX00003 | 14:39:30 | 353 | 102 |
| 4600XXX00003 | 14:39:45 | 353 | 103 |
| 4600XXX00002 | 14:39:45 | 353 | 100 |
| 4600XXX00004 | 14:40:11 | 353 | 104 |
| 4600XXX00001 | 14:45:02 | 353 | 100 |
| 4600XXX00003 | 14:45:11 | 353 | 104 |
| 4600XXX00004 | 14:45:12 | 353 | 104 |
| 4600XXX00004 | 14:48:21 | 353 | 104 |
| 4600XXX00004 | 14:49:45 | 353 | 104 |
| 4600XXX00004 | 14:50:03 | 353 | 104 |
| 4600XXX00002 | 14:55:01 | 353 | 100 |
| 4600XXX00001 | 14:55:02 | 353 | 101 |
| 4600XXX00004 | 14:55:11 | 353 | 103 |
S2: by MR shown in table three according to user identifier, on call time and be ranked up, ranking results are as shown in Table 4.
Table four
| User identifier | On call time | RNC mark | Node identification |
| 4600XXX00001 | 14:39:00 | 353 | 100 |
| 4600XXX00001 | 14:39:08 | 353 | 100 |
| 4600XXX00001 | 14:39:15 | 353 | 101 |
| 4600XXX00001 | 14:39:23 | 353 | 101 |
| 4600XXX00001 | 14:45:02 | 353 | 100 |
| 4600XXX00001 | 14:55:02 | 353 | 101 |
| 4600XXX00002 | 14:39:01 | 353 | 100 |
| 4600XXX00002 | 14:39:10 | 353 | 100 |
| 4600XXX00002 | 14:39:17 | 353 | 100 |
| 4600XXX00002 | 14:39:45 | 353 | 100 |
| 4600XXX00002 | 14:55:01 | 353 | 100 |
| 4600XXX00003 | 14:39:01 | 353 | 101 |
| 4600XXX00003 | 14:39:23 | 353 | 102 |
| 4600XXX00003 | 14:39:30 | 353 | 102 |
| 4600XXX00003 | 14:39:45 | 353 | 103 |
| 4600XXX00003 | 14:45:11 | 353 | 104 |
| 4600XXX00004 | 14:40:11 | 353 | 104 |
| 4600XXX00004 | 14:45:12 | 353 | 104 |
| 4600XXX00004 | 14:48:21 | 353 | 104 |
| 4600XXX00004 | 14:49:45 | 353 | 104 |
| 4600XXX00004 | 14:50:03 | 353 | 104 |
| 4600XXX00004 | 14:55:11 | 353 | 103 |
S3: according to table four, UE is judged one by one, it is assumed here that Thr-T is set as 10 minutes, Thr-C1=1, Thr-
C2=3, as follows for the judgment mode of four UE above:
A) user identifier is the UE of 4600XXX00001
According to being called time on MR it is found that Timer1=14:39:00 in first statistics stage.
Wherein, in the 3rd article of MR, the network element ID of network changes where UE, becomes 353-101 by 353-100, then
Time of the Timer2 corresponding time for the 3rd article of MR, i.e. Timer2=14:39:15, and then can obtain, Timer3=Timer2-
Timer1=0:0:15.
Due to Timer3 < Thr-T, this change is recorded, record result is as follows:
| User identifier | Network element ID before changing | Network element ID after change |
| 4600XXX00001 | 353-100 | 353-101 |
Continue to judge simultaneously, in the 5th article of MR, the network element ID of network changes again where UE, is become by 353-101
At 353-100, then the Timer2 corresponding time is the time of the 5th article of MR, i.e. Timer2=14:45:02, and then can be obtained,
Timer3=Timer2-Timer1=0:6:02.
Due to Timer3 < Thr-T, this change is recorded, record result is as follows:
| User identifier | Network element ID before changing | Network element ID after change |
| 4600XXX00001 | 353-101 | 353-100 |
| 4600XXX00001 | 353-100 | 353-101 |
Continue to judge simultaneously, in the 6th article of MR, the network element ID of network changes again where UE, is become by 353-100
At 353-101, then the Timer2 corresponding time is the time of the 6th article of MR, i.e. Timer2=14:55:02, and then can be obtained,
Timer3=Timer2-Timer1=0:14:02.
Due to Timer3 > Thr-T, network element before changing is only recorded at this time, and record result is as follows:
| User identifier | Network element ID before changing | Network element ID after change |
| 4600XXX00001 | 353-100 | |
| 4600XXX00001 | 353-101 | 353-100 |
| 4600XXX00001 | 353-100 | 353-101 |
As seen from the above table, UE, the Counter1=2 for being 4600XXX00001 for user identifier, that is, user log in
The number of network element is 2, and corresponding network element ID is respectively as follows: 353-101,353-100.
At this point, due to Thr-C1 < Counter1≤Thr-C2, accordingly, it is determined that the UE is boundary user, corresponding statistics
Data result is as shown in Table 5.
Table five
| Network element ID | Boundary user number | Change the frequency in boundary user position |
| 353-100 | 1 | 2 |
| 353-101 | 1 | 1 |
B) user identifier is the UE of 4600XXX00002
As shown in Table 4, UE network element ID of network where in first statistics stage does not change, it is thus determined that
The UE is fixed user, and corresponding statistical data result is as shown in Table 6.
Table six
| Network element ID | Fixed number of users |
| 353-100 | 1 |
C) user identifier is the UE of 4600XXX00003
According to being called time on MR it is found that Timer1=14:39:01 in first statistics stage.User identifier is
The UE of 4600XXX00003 is changed three times in less than 10 minutes of Thr-T, in the way of above-mentioned change record, note at this time
It is as follows to record result:
| User identifier | Network element ID before changing | Network element ID after change |
| 4600XXX00003 | 353-103 | 353-104 |
| 4600XXX00003 | 353-102 | 353-103 |
| 4600XXX00003 | 353-101 | 353-102 |
As seen from the above table, UE, the Counter1=4 for being 4600XXX00003 for user identifier, that is, user log in
The number of network element is 4, and corresponding network element ID is respectively as follows: 353-101,353-102,353-103,353-104.
At this point, due to Counter1 > Thr-C2, accordingly, it is determined that the UE is mobile subscriber, corresponding statistical data result
As shown in Table 7.
Table seven
| Network element ID | Number of mobile users | The location change of mobile user frequency |
| 353-101 | 1 | 1 |
| 353-102 | 1 | 1 |
| 353-103 | 1 | 1 |
| 353-104 | 1 |
It should be noted that the information of position change is carried out since UE not being recorded after network element ID 353-104,
Therefore the corresponding position change frequency of network element ID 353-104 is not counted in table seven.
D) user identifier is the UE of 4600XXX00004
According to being called time on MR it is found that Timer1=14:40:11 in first statistics stage.
Wherein, in the 6th article of MR, the network element ID of network changes where UE, becomes 353-103 by 353-104, then
Time of the Timer2 corresponding time for the 6th article of MR, i.e. Timer2=14:55:11, and then can obtain, Timer3=Timer2-
Timer1=0:15:00.
Due to Timer3 > Thr-T, network element before changing is only recorded at this time, and record result is as follows:
| User identifier | Network element ID before changing | Network element ID after change |
| 4600XXX00004 | 353-104 |
As seen from the above table, UE, the Counter1=1 for being 4600XXX00004 for user identifier, that is, user log in
The number of network element is 1, and corresponding network element ID is respectively as follows: 353-104.
At this point, due to Counter1≤Thr-C1, accordingly, it is determined that the UE is fixed user, corresponding statistical data result
As shown in Table 8.
Table eight
| Network element ID | Fixed number of users |
| 353-104 | 1 |
S4: according to the user property of each UE, the statistical data characterized by number of users is exported.
Specifically, the statistical result of all UE obtained in step S3 is added, can be obtained characterized by number of users
Statistical data, as shown in Table 9.
Table nine
When the traveling time of each UE is respectively less than the first preset value in second statistics stage, therefore without user property
Determine, therefore the statistical result in the final 14:39:00-14:55:11 period is as shown in Table 9.
So far, the process of the mobility statistics of UE terminates in entire mobile communications network.
It should be noted that above-mentioned example is only to combine specific data, provides and use movement provided in an embodiment of the present invention
Property statistical method detailed process that the mobility of UE in mobile communications network is counted illustrate, certainly, in actual movement
Property statistics in, the data volume of MR can be more, and the present invention is not especially limit this.
The embodiment of the present invention provides mobility statistical method, comprising: obtains the default network range acquired in preset time
Whole MR that interior all UE are reported, wherein reporting comprising the MR in each MR that each UE in all UE is reported
The network element ID of network and the user identifier of the UE where time, the UE；According to each MR that each UE is reported, really
Whether the network element ID of network where each UE described in fixed each statistics stage changes；If changing, obtain described every
The traveling time of each UE when the network element ID of network changes where a UE；When each UE traveling time not
When less than the first preset value, according to preset rules, the user property of each UE is determined, wherein the user property includes
Boundary user, fixed user and mobile subscriber；According to the user property of each UE, the statistics characterized by number of users is exported
Data.Mobility statistical method based on the embodiment of the present invention may be implemented to count mobility, to be commodity network
In area covered, the band of position optimization etc. provide foundation.
Embodiment two,
The embodiment of the present invention provides a kind of mobility statistic device 40, specific as shown in figure 4, the statistic device 40 wraps
It includes: acquiring unit 401, determination unit 402 and output unit 403.
The acquiring unit 401, what all UE for obtaining in the default network range acquired in preset time were reported
Whole MR, wherein in each MR that each UE in all UE is reported comprising calling time on the MR, network where the UE
Network element ID and the UE user identifier.
The determination unit 402, each MR for being reported according to each UE are determined every described in each statistics stage
Whether the network element ID of network changes where a UE.
The acquiring unit 401, if being also used to change, the network element ID of network occurs where obtaining each UE
The traveling time of each UE when change.
The determination unit 402 is also used to when the traveling time of each UE is not less than the first preset value, according to pre-
If regular, the user property of each UE is determined, wherein the user property includes boundary user, fixed user and movement
User.
The output unit 403 exports the statistics characterized by number of users for the user property according to each UE
Data.
Further, the determination unit 402 is specifically used for:
When the traveling time of each UE is not less than the first preset value, the network element ID change of each UE is obtained
Number.
If Counter1≤Thr-C1, determine the user property of each UE for fixed user.
If Counter1 > Thr-C1, and Counter1 < Thr-C2, determine that the user property of each UE is boundary
User.
If Counter1 >=Thr-C2, determine that the user property of each UE is mobile subscriber.
Wherein, Counter1 indicates the network element ID change number of each UE, and Thr-C1 is the second preset value；Thr-C2 is
Third preset value.
Further, the acquiring unit 401 is specifically used for:
If changing, according to the first preset formula, the network element ID of network changes where obtaining each UE
The traveling time of each UE of Shi Suoshu, first preset formula include:
Timer3=Timer2-Timer 1.
Wherein, when the network element ID of network changes where Timer3 indicates each UE each UE it is mobile when
Between, when the network element ID of network changes where Timer2 indicates each UE MR on call time, Timer1 indicates each system
It calls time on meter stage initial MR.
Further, the determination unit 402 is also used to the net where each UE described in the determination each statistics stage
After whether the network element ID of network changes, if not changing, determine the user property of each UE for fixed user.
Further, as shown in figure 5, the statistic device 40 further includes recording unit 404.
The recording unit 404, the network element ID for network where obtaining each UE in the acquiring unit 401
When changing after the traveling time of each UE, when the traveling time of each UE is less than first preset value
When, the network element mark after network element ID and change when the network element ID of network changes where recording each UE before changing
The mapping relations of knowledge；When the traveling time of each UE is not less than first preset value, each place UE is recorded
The network element ID when network element ID of network changes before changing.
Specifically, the movement using mobility statistic device 40 provided in an embodiment of the present invention to UE in mobile communications network
Property the method that is counted can refer to implement one description, details are not described herein for the embodiment of the present invention.
Mobility statistic device based on the embodiment of the present invention, may be implemented the movement to UE in mobile communications network
Property statistics, to provide foundation for area covered, the band of position optimization etc. in commodity network.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description,
Only the example of the division of the above functional modules, it in practical application, can according to need and by above-mentioned function distribution
It is completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, it is described above to complete
All or part of function.System, the specific work process of device and unit of foregoing description can be implemented with reference to preceding method
Corresponding process in example, 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, the functional units in various embodiments of the present invention may be integrated into 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, technical solution of the present invention 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 present invention
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-On1y Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (8)
1. a kind of mobility statistical method, which is characterized in that the described method includes:
Whole measurement report MR of all reported by user equipment UE in the default network range acquired in preset time are obtained,
In, in each MR that each UE in all UE is reported comprising calling time on the MR, where the UE network network element mark
The user identifier of knowledge and the UE；
According to each MR that each UE is reported, the network element ID of network is where determining each UE described in each statistics stage
It is no to change；
If changing, when the network element ID of network changes where obtaining each UE each UE it is mobile when
Between；
When the traveling time of each UE is not less than the first preset value, according to preset rules, the use of each UE is determined
Family attribute, wherein the user property includes boundary user, fixed user and mobile subscriber；
According to the user property of each UE, the statistical data characterized by number of users is exported；
Wherein, described when the traveling time of each UE is not less than the first preset value, according to preset rules, determine described every
The user property of a UE, comprising:
When the traveling time of each UE is not less than the first preset value, the network element ID change time of each UE is obtained
Number；
If Counter1≤Thr-C1, determine the user property of each UE for fixed user；
If Counter1>Thr-C1, and Counter1<Thr-C2, determine that the user property of each UE is boundary user；
If Counter1 >=Thr-C2, determine that the user property of each UE is mobile subscriber；
Wherein, Counter1 indicates the network element ID change number of each UE, and Thr-C1 is the second preset value；Thr-C2 is third
Preset value.
2. obtain net where each UE the method according to claim 1, wherein if described change
The traveling time of each UE when the network element ID of network changes, comprising:
If changing, according to the first preset formula, the network element ID of network where obtaining each UE changes when institute
The traveling time of each UE is stated, first preset formula includes:
Timer3=Timer2-Timer1；
Wherein, the traveling time of each UE when the network element ID of network changes where Timer3 indicates each UE,
When the network element ID of network changes where Timer2 indicates each UE MR on call time, Timer1 indicates each statistics rank
It calls time on the initial MR of section.
3. method according to claim 1 or 2, which is characterized in that each UE described in the determination each statistics stage
After whether the network element ID of place network changes, further includes:
If not changing, determine the user property of each UE for fixed user.
4. method according to claim 1 or 2, which is characterized in that in the net of network where acquisition each UE
Member mark is when changing after the traveling time of each UE, further includes:
When the traveling time of each UE is less than first preset value, the network element mark of network where recording each UE
Know the mapping relations of network element ID when changing before changing and the network element ID after change；
When the traveling time of each UE is not less than first preset value, the network element of network where recording each UE
Network element ID when mark changes before changing.
5. a kind of mobility statistic device, which is characterized in that the statistic device includes: acquiring unit, determination unit and defeated
Unit out；
The acquiring unit, for obtaining all reported by user equipment UE in the default network range acquired in preset time
Whole measurement report MR, wherein in each MR that each UE in all UE is reported comprising calling time on the MR, the UE
The network element ID of place network and the user identifier of the UE；
The determination unit, each MR for being reported according to each UE determine each UE institute described in each statistics stage
Whether change in the network element ID of network；
The acquiring unit, if being also used to change, when the network element ID of network changes where obtaining each UE
The traveling time of each UE；
The determination unit is also used to when the traveling time of each UE is not less than the first preset value, according to preset rules,
Determine the user property of each UE, wherein the user property includes boundary user, fixed user and mobile subscriber；
The output unit exports the statistical data characterized by number of users for the user property according to each UE；
The determination unit is specifically used for: when the traveling time of each UE is not less than the first preset value, obtaining described every
The network element ID of a UE changes number；
If Counter1≤Thr-C1, determine the user property of each UE for fixed user；
If Counter1>Thr-C1, and Counter1<Thr-C2, determine that the user property of each UE is boundary user；
If Counter1 >=Thr-C2, determine that the user property of each UE is mobile subscriber；
Wherein, Counter1 indicates the network element ID change number of each UE, and Thr-C1 is the second preset value；Thr-C2 is third
Preset value.
6. statistic device according to claim 5, which is characterized in that the acquiring unit is specifically used for:
If changing, according to the first preset formula, the network element ID of network where obtaining each UE changes when institute
The traveling time of each UE is stated, first preset formula includes:
Timer3=Timer2-Timer1；
Wherein, the traveling time of each UE when the network element ID of network changes where Timer3 indicates each UE,
When the network element ID of network changes where Timer2 indicates each UE MR on call time, Timer1 indicates each statistics rank
It calls time on the initial MR of section.
7. according to statistic device described in claim 5 or 6, which is characterized in that
The determination unit, be also used to the network where each UE described in the determination each statistics stage network element ID whether
After changing, if not changing, determine the user property of each UE for fixed user.
8. statistic device according to claim 5 or 6, which is characterized in that the statistic device further includes recording unit；
The recording unit, when the network element ID for network where obtaining each UE in the acquiring unit changes
After the traveling time of each UE, when the traveling time of each UE is less than first preset value, described in record
The mapping of the network element ID after network element ID and change when the network element ID of network changes where each UE before changing is closed
System；When the traveling time of each UE is not less than first preset value, the network element of network where recording each UE
Network element ID when mark changes before changing.
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| CN106412824B (en) * | 2016-09-05 | 2019-08-09 | 中国联合网络通信集团有限公司 | A kind of path load appraisal procedure, device and display system |
| CN108243466B (en) * | 2016-12-27 | 2020-10-30 | 中国移动通信集团设计院有限公司 | Method and device for identifying low-speed user equipment residing in high-speed rail private network |
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