CN105519173B - A kind of method and device for estimating characteristic gain size in a network - Google Patents
A kind of method and device for estimating characteristic gain size in a network Download PDFInfo
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- CN105519173B CN105519173B CN201480008539.XA CN201480008539A CN105519173B CN 105519173 B CN105519173 B CN 105519173B CN 201480008539 A CN201480008539 A CN 201480008539A CN 105519173 B CN105519173 B CN 105519173B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
Abstract
The present invention provides a kind of method and devices for estimating characteristic gain size in a network, the value range of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene is divided in advance, obtain all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period, estimate the sub-scene yield value of each gain sub-scene, according to the scene probability of each gain sub-scene of the exploitation of every kind of influence factor in each gain event, the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation open described in wait estimate yield value caused by characteristic, the present invention provides a kind of methods estimated wait estimate characteristic size of generated yield value after office point to be measured is opened, it may be implemented precisely to estimate described wait estimate characteristic gain after the opening of specific office point in one network Size, the gain effect for effective evaluation of properties in specific office point provides foundation.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of methods and dress for estimating characteristic gain size in a network
It sets.
Background technique
With the continuous development of network technology, using on a wireless network for improving the transmission signal gain of wireless network
Various emerging technical characteristics continue to bring out.Such as: apply 64 quadrature amplitude modulations in WCDMA commercial wireless network
(64Quadrature Amplitude Modulation, 64QAM), dual carrier (Dual Carrier, DC) and interference cancellation
(Interference cancellation, IC) etc., all can serve as the characteristic for promoting wireless network throughput.
For the characteristics such as 64QAM, DC or the IC for improving transmission in wireless network signal gain, every kind of characteristic has it
Specific application scenarios, every kind of feature only under its specific application scenarios, can just come into force and be promoted the biography of wireless network
The gain of defeated signal.Such as: IC characteristic can only be uploaded in big rate comes into force and plays gain work in (Full Buffer) business
With, and to the parcels such as webpage (Burst) business without gain.Therefore, it before every kind of characteristic investment practical application, needs to it
The gain of transmission signal is estimated under heterogeneous networks scene.
Currently, mainly surveying gain using office point in the theoretical reckoning of network scenarios, laboratory proofing and commercial network
Deng in conjunction with realizing to characteristic estimating for the gain under network scenarios to transmission signal.But for different characteristics,
It opens the actual conditions difference to come into force, and size and this network scenarios to the gain for transmitting signal under a network scenarios
In the factors such as number of users, business model it is related.Therefore, for the same network scenarios, the same characteristic is to different
The gain of network office point is of different sizes.It is calculated using theory, the knot such as office point actual measurement gain in laboratory proofing and commercial network
The characteristic estimated is closed to the gain size of network transmission signal, range is larger, it is only applicable to a big network scenarios,
For each office point in a network scenarios, the gain size estimated is simultaneously inaccurate.
Summary of the invention
In view of this, the present invention provides a kind of method and device for estimating characteristic gain size in a network, Ke Yishi
Now precisely estimate it is described wait estimate characteristic in one network after the opening of specific office point gain size, for effective assessment
Gain effect of the characteristic in specific office point provides foundation.
First aspect of the embodiment of the present invention provides a kind of device for estimating characteristic gain size in a network, described device packet
It includes:
Division unit, for dividing gain effects factor corresponding with characteristic to be estimated in each gain sub-scene in advance
Value range, the gain effects factor are that influence is described wait estimate characteristic generated gain after the office point to be measured is opened
The factor of size；
First acquisition unit opens the owning in preset time period after estimating characteristic for obtaining in office point to be measured
Gain event, each gain event include a value of every kind of gain effects factor；
Unit is estimated, for estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is described
Open described generated under the gain effects factor value range of the gain sub-scene after estimating characteristic in office point to be measured
Gain size；
First computing unit, for each gain subfield of exploitation according to every kind of influence factor in each gain event
The scene probability of scape, the scene probability are the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened
Probability；
Second computing unit, for according to the sub-scene yield value of each gain sub-scene and scene probability calculation to
Open described wait estimate yield value caused by characteristic in survey office point.
In the first possible implementation of first aspect of the embodiment of the present invention, first computing unit includes:
Classification subelement, for determining gain sub-scene belonging to the value of gain effects factor in each gain event；
Probability calculation subelement, for calculating the scene probability of each gain sub-scene, the scene probability is gain
The ratio of the number for the gain event that scene is possessed and acquired gain event number.
In second of possible implementation of first aspect of the embodiment of the present invention, second computing unit includes:
Product subelement, for calculating the sub-scene yield value of each gain sub-scene and the product of scene probability as institute
That states gain sub-scene estimates gain subvalue；
Summation subelement, for asking the sum for estimating gain subvalue of all gain sub-scenes open-minded as the office point to be measured
It is described wait estimate yield value caused by characteristic.
In the third possible implementation of first aspect of the embodiment of the present invention, described device further include:
Second acquisition unit, for obtaining the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured；
First judging unit opens preset value for judging whether the value for opening influence factor all meets, works as institute
It states and opens the value of influence factor and all meet when opening preset value, the office point to be measured meets the item for opening the characteristic to be estimated
Part.
It is possible at the 4th kind in conjunction with the third possible implementation of first aspect of the embodiment of the present invention to first aspect
In implementation, described device further include:
Third acquiring unit, for obtaining the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured；
Second judgment unit works as institute for judging whether the value of the influence factor that comes into force all meets the preset value that comes into force
The value for stating the influence factor that comes into force all meets when coming into force preset value, and the office point to be measured is opened the characteristic to be estimated and can be given birth to
Effect.
Second aspect of the present invention provides a kind of device for estimating characteristic gain size in a network, which is characterized in that described
Device includes:
Memory and processor, for storing instruction, the processor is for transferring instruction, the finger for the memory
Order includes:
The value of gain effects factor corresponding with characteristic to be estimated in office point to be measured is obtained, the gain effects factor is shadow
Ring the factor wait estimate characteristic generated gain size after the office point to be measured is opened；
The value for only changing a gain effects factor generates a gain sub-scene, generates and the gain effects factor
Identical gain sub-scene is counted, the type of the gain effects factor changed in each gain sub-scene is different；
Estimate each gain sub-scene open it is described wait estimate gain size caused by characteristic as sub-scene yield value；
The office point to be measured, which is calculated, according to the sub-scene yield value of each gain sub-scene opens the characteristic institute to be estimated
The yield value of generation.
The third aspect of the embodiment of the present invention provides a kind of method for estimating characteristic gain size in a network, and feature exists
In dividing the value range of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene, the gain in advance
Influence factor is to influence the factor wait estimate characteristic generated gain size after the office point to be measured is opened, the side
Method includes:
Obtain all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period, each gain
Event includes a value of every kind of gain effects factor；
The sub-scene yield value of each gain sub-scene is estimated, the sub-scene yield value opens institute for the office point to be measured
State after estimating characteristic the generated gain size under the gain effects factor value range of the gain sub-scene；
It is described according to the scene probability of each gain sub-scene of the exploitation of every kind of influence factor in each gain event
Scene probability is the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened；
The office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation open described in
Estimate yield value caused by characteristic.
It is described according to every kind in each gain event in the first possible implementation of the third aspect of the embodiment of the present invention
The value of influence factor determines that the scene probability of each gain sub-scene includes:
Determine gain sub-scene belonging to the value of gain effects factor in each gain event；
Calculate the scene probability of each gain sub-scene, the gain event that the scene probability is possessed by gain sub-scene
Number and acquired gain event number ratio.
In second of possible implementation of the third aspect of the embodiment of the present invention, the son according to each gain sub-scene
Office point to be measured described in scene yield value and scene probability calculation is opened described includes: wait estimate yield value caused by characteristic
The sub-scene yield value of each gain sub-scene and the product of scene probability are calculated as the gain sub-scene
Estimate gain subvalue；
The sum for estimating gain subvalue of all gain sub-scenes is asked to open the characteristic to be estimated as the office point to be measured
Generated yield value.
In the third possible implementation of the third aspect of the embodiment of the present invention, opened in the acquisition office point to be measured described
Before all gain events after estimating characteristic in preset time period further include:
Obtain the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured；
Judge whether the value for opening influence factor all meets and opens preset value；
The value that influence factor is opened when described all meets when opening preset value, the office point to be measured meet open it is described to
Estimate the condition of characteristic.
In conjunction with the third possible implementation of third aspect present invention to the third aspect, the 4th kind of possible realization side
In formula, described obtain opens all gain events front method after estimating characteristic in preset time period also in office point to be measured
Include:
Obtain the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured；
Whether the value for the influence factor that comes into force described in judgement all meets the preset value that comes into force；
When the value of the influence factor that comes into force, which all meets, comes into force preset value, the office point to be measured is opened described wait estimate
Characteristic can come into force.
As shown in the above, the method have the advantages that:
The present invention provides a kind of method and devices for estimating characteristic gain size in a network, divide each gain in advance
The value range of gain effects factor corresponding with characteristic to be estimated in sub-scene, the gain effects factor be influence it is described to
The factor for estimating characteristic generated gain size after the office point to be measured is opened obtains described in opening in office point to be measured to pre-
Estimate all gain events after characteristic in preset time period, each gain event includes that one of every kind of gain effects factor takes
Value；Estimate the sub-scene yield value of each gain sub-scene, the sub-scene yield value be the office point to be measured open it is described to
Estimate after characteristic the generated gain size under the gain effects factor value range of the gain sub-scene；According to each increasing
The scene probability of each gain sub-scene of the exploitation of every kind of influence factor in beneficial event, the scene probability are described to be measured
Office point, which is opened, described there is the probability of the gain sub-scene after estimating characteristic；According to the sub-scene gain of each gain sub-scene
Office point to be measured described in value and scene probability calculation is opened described wait estimate yield value caused by characteristic, and the present invention provides one kind
The method wait estimate characteristic size of generated yield value after office point to be measured is opened is estimated, may be implemented precisely to estimate described
Wait estimate characteristic in one network after the opening of specific office point gain size, be effective evaluation of properties in specific office point
Gain effect provide foundation.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of one structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention；
Fig. 2 is that the present invention influences the increasing wait estimate characteristic generated gain size after the office point to be measured is opened
Beneficial influence factor schematic diagram；
Fig. 3 is a kind of two structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention；
Fig. 4 is a kind of three structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention；
Fig. 5 is a kind of four flow chart of embodiment of the method for estimating characteristic gain size in a network of the present invention；
Fig. 6 is a kind of five flow chart of embodiment of the method for estimating characteristic gain size in a network of the present invention.
Specific embodiment
The implementation that generated gain size is opened in the office point of characteristic in a network, the present invention are estimated in order to provide
Embodiment provides a kind of method and device for estimating characteristic gain size in a network, below in conjunction with Figure of description to this hair
Bright preferred embodiment is illustrated, it should be understood that and preferred embodiments described herein are only used to illustrate and explain the present invention,
It is not intended to limit the present invention.And in the absence of conflict, the features in the embodiments and the embodiments of the present application can be with
It is combined with each other.
Embodiment one
Fig. 1 is a kind of one structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention, described
Device includes:
Division unit 101, for divide in each gain sub-scene in advance gain effects corresponding with characteristic to be estimated because
The value range of element, the gain effects factor are that influence is described generated after the office point to be measured is opened wait estimate characteristic
The factor of gain size.
Gain effects factor is to influence the gain size caused by the office point to be measured after estimating characteristic and opening
Factor, under normal circumstances, the gain effects factor includes the number of users of the office point to be measured and the scene of type of service
Probability etc..Under normal circumstances, the number of users of different office points and/or type of service are different, also, the different time of the same office point
Section, number of users and/or type of service also can be different.
Can according to the actual situation, divide in each gain sub-scene in advance gain effects corresponding with characteristic to be estimated because
The value range of element.It gives the corresponding all gain effects factors of characteristic to be estimated and a value range is respectively set as one
Gain sub-scene, in each gain sub-scene in the value range of at least one gain effects factor and other gain sub-scenes
Value range it is different.
For example, as shown in Fig. 2, influencing described wait estimate characteristic generated gain after the office point to be measured is opened
The gain effects of size are because being known as 6.In first gain sub-scene, 1 value of influence factor is b；2 value of influence factor is c；
The value range of influence factor 3 is to eat dishes without rice or wine to load height, and eat dishes without rice or wine to meet: make an uproar > targeted loads -3db at actual loading-bottom；Influence factor 4
Value range be that 2ms TTI user accounting is high, 2ms user load accounting > 50%；The value range of influence factor 5 is Full
Based on Buffer business；The value range of influence factor 6 is number of users≤2 1≤Full Buffer.And second gain subfield
For scape compared with first gain sub-scene, the value range of only influence factor 6 is different.6th gain sub-scene and first
Gain sub-scene is compared, and influence factor 4, influence factor 5 and influence factor 6 are different from.
When the instantaneous value of all influence factors in office point to be measured of a certain moment is all in the influence factor of a gain sub-scene
Value range in when, indicate that this office point to be measured is at this moment under this gain sub-scene.When office point different moments to be measured
When the value of gain effects factor belongs to the same gain sub-scene, the office point to be measured is in the gain wait estimate under characteristic
Difference in size is little.
What needs to be explained here is that different gain sub-scenes it is practical describe in office point to be measured with the spy to be estimated
The different value ranges of the influence factor of property, the different value ranges of each influence factor will affect office point to be measured and open institute
State the gain size after estimating characteristic.Therefore, (value range of influence factor is different), office to be measured under different gains sub-scene
Point open the band estimate characteristic gain it is of different sizes.
First acquisition unit 102, for obtain opened in office point to be measured it is described after estimating characteristic in preset time period
All gain events, each gain event include a value of every kind of gain effects factor.
One gain event, be at a time office point to be measured it is corresponding with the characteristic to be estimated it is had an impact because
Element value general designation, wherein inscribed when a certain each influence factor value only one.Namely refer to, a certain particular moment
Under, the description for the gain event for using the value of all influence factors in office point to be measured to occur as moment to this.In preset time
Several gain events after estimating characteristic are opened in the available office point to be measured in section, that is, obtain in preset time period
Value under interior different moments in the office point to be measured with the influence factor after estimating characteristic.Under normal circumstances, a net
The gain effects factor of all office points in network system stores in the information such as traffic statistics, log and configuration script, can be with
When needed from acquisition of information such as traffic statistics, log and configuration scripts.
When the gain effects factor only in traffic statistics information when, can be only from being obtained in traffic statistics in office point to be measured and to pre-
Estimate the value of the corresponding gain effects factor of characteristic, the gain effects factor only in log or configuration script information when, can be with
Only from log or configuration script acquisition of information office point to be measured gain effects factor corresponding with characteristic to be estimated value；When described
When gain effects factor is in the information such as traffic statistics, log and configuration script information, need respectively from traffic statistics, log and configuration
The value of gain effects factor corresponding with characteristic to be estimated in office point to be measured is obtained in the information such as script information.
Unit 103 is estimated, for estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is institute
State office point to be measured open it is described after estimating characteristic under the gain effects factor value range of the gain sub-scene produced by
Gain size.
Each gain sub-scene can be estimated described in opening wait estimate gain size caused by characteristic, and field can be used
Scape theory calculates and the method for laboratory proofing is estimated, and can estimate to obtain in gain sub-scene in the spy to be estimated
Property open after caused by gain size.
First computing unit 104, for each gain of exploitation according to every kind of influence factor in each gain event
The scene probability of sub-scene, the scene probability are the gain subfield occur after estimating characteristic described in the office point to be measured is opened
The probability of scape.
First computing unit 104 includes:
Classification subelement, for determining gain sub-scene belonging to the value of gain effects factor in each gain event；
Probability calculation subelement, for calculating the scene probability of each gain sub-scene, the scene probability is gain
The ratio of the number for the gain event that scene is possessed and acquired gain event number.
Regard preset time period as the total network scenarios that the characteristic to be estimated is opened in office point to be measured, different moments
The value of influence factor corresponding with the characteristic to be estimated can change.Regard the value of the influence factor at each moment as one
A gain event, according to the value range of influence factor in gain sub-scene belonging to the value of the influence factor of gain event, really
Determine gain sub-scene belonging to gain event.It is obtained in the number for the gain event that gain sub-scene is possessed and preset time period
I.e. the scene probability of gain sub-scene, the scene probability are that the office point to be measured is opened to the ratio of the gain total number of events taken thus
There is the probability of the gain sub-scene after estimating characteristic described in logical.
For example: assuming that obtaining 1000 gain events within a preset period of time, the value of influence factor is at first
Gain event in the value range of the influence factor of gain sub-scene belongs to first gain sub-scene, belongs to first gain
Gain event in sub-scene is 30, then the scene probability of first gain sub-scene is 3%.The meter of other gain sub-scenes
Calculation method is similar with the technical method of above-mentioned first sub-scene, and which is not described herein again.
Second computing unit 105, for according to each gain sub-scene sub-scene yield value and scene probability calculation institute
State office point to be measured open it is described wait estimate yield value caused by characteristic.
Second computing unit 105 includes:
Product subelement, for calculating the sub-scene yield value of each gain sub-scene and the product of scene probability as institute
That states gain sub-scene estimates gain subvalue；
Summation subelement, for asking the sum for estimating gain subvalue of all gain sub-scenes open-minded as the office point to be measured
It is described wait estimate yield value caused by characteristic.
First computing unit 104 calculates the scene probability of each gain sub-scene, for identical gain sub-scene,
The scene probability of different office points to be measured is different, for example, for Shanghai, the scene probability of highway sub-scene is
15%, the scene probability of high-speed rail sub-scene is 85%；And for Beijing, the probability of highway sub-scene is 75%；High pellet in a shotgun cartridge
The probability of scene is 25%.
And for the same office point to be measured, with the variation of time, the scene probability of gain sub-scene may also be sent out
Changing.Therefore, the scene probability of each gain sub-scene for preset time period for, in specific time range
It is just significant.
The sub-scene yield value of each gain sub-scene and the product of scene probability are calculated as the gain sub-scene
Estimate gain subvalue.To all gain sub-scenes estimate gain subvalue summation can be obtained the office point to be measured open it is described to
Estimate yield value caused by characteristic.
As shown in the above, the method have the advantages that:
The value range of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene is divided in advance, it is described
Gain effects factor is to influence the factor wait estimate characteristic generated gain size after the office point to be measured is opened, and is obtained
All gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period are taken, each gain event includes every
One value of kind gain effects factor；The sub-scene yield value of each gain sub-scene is estimated, the sub-scene yield value is
The office point to be measured is produced under the gain effects factor value range of the gain sub-scene after estimating characteristic described in opening
Raw gain size；Scene according to each gain sub-scene of the exploitation of every kind of influence factor in each gain event is general
Rate, the scene probability are the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened；According to
It opens the characteristic to be estimated and is produced in office point to be measured described in the sub-scene yield value of each gain sub-scene and scene probability calculation
Raw yield value, the present invention provides a kind of sizes estimated wait estimate characteristic generated yield value after office point to be measured is opened
Method, may be implemented precisely to estimate it is described wait estimate characteristic in one network after the opening of specific office point gain it is big
Small, the gain effect for effective evaluation of properties in specific office point provides foundation.
Embodiment two
Fig. 3 is a kind of two structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention, is implemented
Example two further includes the first judging unit and second judgment unit, for opening office point to be measured to pre- compared with embodiment one
Estimate whether characteristic meets the condition of opening and effective term, described device includes:
Division unit 101, for divide in each gain sub-scene in advance gain effects corresponding with characteristic to be estimated because
The value range of element, the gain effects factor are that influence is described generated after the office point to be measured is opened wait estimate characteristic
The factor of gain size.
Division unit 101 is similar with embodiment one, and the description of reference implementation example one, which is not described herein again.
Second acquisition unit 301, for obtaining the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured.
First judging unit 302 opens preset value for judging whether the value for opening influence factor all meets, such as
Fruit is that the office point to be measured meets the condition for opening the characteristic to be estimated, into third acquiring unit 303；If not, described
Office point to be measured is unsatisfactory for opening the condition of the characteristic to be estimated, into the first return unit 305.
Second acquisition unit 301 and the first judging unit 302 predominantly detect the office point to be measured whether have open it is described
The network hardware of characteristic to be estimated configures.Under normal circumstances, it is described open influence factor include hardware setting, eat dishes without rice or wine networking and
The configuration of the network hardwares such as terminal type.The office point to be measured must have all preset values for opening influence factor, just be able to satisfy
The condition for opening the characteristic to be estimated, has one to open influence factor and does not have, then is unsatisfactory for opening the characteristic to be estimated
Condition, then it represents that this office point to be measured cannot open the characteristic to be estimated.It is unsatisfactory for opening the spy to be estimated at this point, returning
Property condition information, remind staff configured all values for opening influence factor.
Third acquiring unit 303, for obtaining the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured.
Second judgment unit 304, for judging whether the value of the influence factor that comes into force all meets the preset value that comes into force, institute
Stating office point to be measured and opening the characteristic to be estimated can come into force, into first acquisition unit 102；If not, the office point to be measured
Opening the characteristic to be estimated cannot come into force, into the second return unit 306.
Third acquiring unit 303 and second judgment unit 304 predominantly detect the characteristic to be estimated opened described in
Survey whether office point has the software configuration for making it come into force.Under normal circumstances, it is described come into force influence factor include eat dishes without rice or wine load and
The configuration of the network softwares such as type of service.The office point to be measured, which must satisfy, all makes the characteristic to be estimated come into force influence factor
Preset value is just able to satisfy the condition for making the characteristic to be estimated come into force in the office point to be measured, has one to come into force influence factor not
Have, then the characteristic to be estimated can not come into force in the office point to be measured, then it represents that open described wait estimate in the office point to be measured
Characteristic cannot come into force.At this point, returning to the office point to be measured opens the information that the characteristic to be estimated cannot come into force, work people is reminded
The value of the good all influence factors that comes into force of member's configuration.
First acquisition unit 102, for obtain opened in office point to be measured it is described after estimating characteristic in preset time period
All gain events, each gain event include a value of every kind of gain effects factor.
Unit 103 is estimated, for estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is institute
State office point to be measured open it is described after estimating characteristic under the gain effects factor value range of the gain sub-scene produced by
Gain size.
First computing unit 104, for each gain of exploitation according to every kind of influence factor in each gain event
The scene probability of sub-scene, the scene probability are the gain subfield occur after estimating characteristic described in the office point to be measured is opened
The probability of scape.
First computing unit 104 includes:
Classification subelement, for determining gain sub-scene belonging to the value of gain effects factor in each gain event；
Probability calculation subelement, for calculating the scene probability of each gain sub-scene, the scene probability is gain
The ratio of the number for the gain event that scene is possessed and acquired gain event number.
Second computing unit 105, for according to each gain sub-scene sub-scene yield value and scene probability calculation institute
State office point to be measured open it is described wait estimate yield value caused by characteristic.
Second computing unit 105 includes:
Product subelement, for calculating the sub-scene yield value of each gain sub-scene and the product of scene probability as institute
That states gain sub-scene estimates gain subvalue；
Summation subelement, for asking the sum for estimating gain subvalue of all gain sub-scenes open-minded as the office point to be measured
It is described wait estimate yield value caused by characteristic.
First acquisition unit 102 is estimated unit 103, the first computing unit 104 and the second computing unit 105 and is implemented
Example one is similar, and the description of reference implementation example one, which is not described herein again.
First return unit 305 is unsatisfactory for opening the information of the condition of the characteristic to be estimated for returning.
Second return unit 306 opens the information that the characteristic to be estimated cannot come into force for returning to the office point to be measured.
As shown in the above, the present invention there are also following the utility model has the advantages that
Estimate the office point to be measured open it is described described to be measured wait judge before estimating gain size caused by characteristic
Whether office point has the hardware configuration for opening the characteristic to be estimated, further judge the office point to be measured whether have make it is described
The software configuration that characteristic to be estimated comes into force, can provide whether the characteristic to be estimated may be mounted at the first of the office point to be measured
Step determines.
Embodiment three
Fig. 4 is a kind of three structural schematic diagram of Installation practice for estimating characteristic gain size in a network of the present invention, described
Device includes:
Memory 401 and processor 402, for storing instruction, the processor 402 is for adjusting for the memory 401
Instruction fetch, described instruction include:
The value range of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene is divided in advance, it is described
Gain effects factor is to influence the factor wait estimate characteristic generated gain size after the office point to be measured is opened；
Obtain all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period, each gain
Event includes a value of every kind of gain effects factor；
The sub-scene yield value of each gain sub-scene is estimated, the sub-scene yield value opens institute for the office point to be measured
State after estimating characteristic the generated gain size under the gain effects factor value range of the gain sub-scene；
It is described according to the scene probability of each gain sub-scene of the exploitation of every kind of influence factor in each gain event
Scene probability is the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened；
The office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation open described in
Estimate yield value caused by characteristic；
Optionally, the value according to every kind of influence factor in each gain event determines the field of each gain sub-scene
Scape probability includes:
Determine gain sub-scene belonging to the value of gain effects factor in each gain event；
Calculate the scene probability of each gain sub-scene, the gain event that the scene probability is possessed by gain sub-scene
Number and acquired gain event number ratio.
Optionally, the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
Include: wait estimate yield value caused by characteristic described in opening
The sub-scene yield value of each gain sub-scene and the product of scene probability are calculated as the gain sub-scene
Estimate gain subvalue；
The sum for estimating gain subvalue of all gain sub-scenes is asked to open the characteristic to be estimated as the office point to be measured
Generated yield value；
It is optionally, described to obtain in office point to be measured before multiple gain events corresponding with characteristic to be estimated further include:
Obtain the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured；
Judge whether the value for opening influence factor all meets and opens preset value；
The value that influence factor is opened when described all meets when opening preset value, the office point to be measured meet open it is described to
Estimate the condition of characteristic；
It is optionally, described to obtain in office point to be measured before multiple gain events corresponding with characteristic to be estimated further include:
Obtain the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured；
Whether the value for the influence factor that comes into force described in judgement all meets the preset value that comes into force；
When the value of the influence factor that comes into force, which all meets, comes into force preset value, the office point to be measured is opened described wait estimate
Characteristic can come into force.
Example IV
Fig. 5 is a kind of four flow chart of embodiment of the method for estimating characteristic gain size in a network of the present invention, example IV
It is and method corresponding to device described in embodiment one, which comprises
Step 501: dividing the value of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene in advance
Range.
The gain effects factor is that influence is described wait estimate characteristic generated gain after the office point to be measured is opened
The factor of size.Can gain shadow corresponding with characteristic to be estimated in each gain sub-scene be divided in advance according to the actual situation
The value range of the factor of sound.It gives the corresponding all gain effects factors of characteristic to be estimated and a value range conduct is respectively set
One gain sub-scene, the value range and other gain subfields of at least one gain effects factor in each gain sub-scene
Value range in scape is different.
Step 502: all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period are obtained,
Each gain event includes a value of every kind of gain effects factor.
One gain event, be at a time office point to be measured it is corresponding with the characteristic to be estimated it is had an impact because
The general designation of the value of element.Namely refer to, under a certain particular moment, uses the value of all influence factors in office point to be measured i.e. as at this time
Carve the description of the gain event occurred.The available office point to be measured is opened described after estimating characteristic within a preset period of time
Several gain events, that is, obtain under different moments within a preset period of time in the office point to be measured with described after estimating characteristic
Influence factor value.Under normal circumstances, the gain effects factor of all office points in a network system is in traffic statistics, day
It is stored in the information such as will and configuration script, it can be when needed from acquisition of information such as traffic statistics, log and configuration scripts.
Step 503: estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is the office to be measured
Point opens that described generated gain is big under the gain effects factor value range of the gain sub-scene after estimating characteristic
It is small.
Each gain sub-scene can be estimated described in opening wait estimate gain size caused by characteristic, and field can be used
Scape theory calculates and the method for laboratory proofing is estimated, and can estimate to obtain in gain sub-scene in the spy to be estimated
Property open after caused by gain size.
Step 504: according to the scene of each gain sub-scene of the exploitation of every kind of influence factor in each gain event
Probability, the scene probability are the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened.
The scene probability of each gain sub-scene of the exploitation according to every kind of influence factor in each gain event
Include:
Determine gain sub-scene belonging to the value of gain effects factor in each gain event；
Calculate the scene probability of each gain sub-scene, the gain event that the scene probability is possessed by gain sub-scene
Number and acquired gain event number ratio.
Step 505: opening the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
It is logical described wait estimate yield value caused by characteristic.
Open institute in the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
It states and includes: wait estimate yield value caused by characteristic
The sub-scene yield value of each gain sub-scene and the product of scene probability are calculated as the gain sub-scene
Estimate gain subvalue；
The sum for estimating gain subvalue of all gain sub-scenes is asked to open the characteristic to be estimated as the office point to be measured
Generated yield value.
Step 501 is similar with embodiment one to step 505, and the description of reference implementation example one, which is not described herein again.
Embodiment five
Fig. 6 is a kind of five flow chart of embodiment of the method for estimating characteristic gain size in a network of the present invention, embodiment five
It is and method corresponding to device described in embodiment two, which comprises
Step 601: dividing the value of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene in advance
Range.
The gain effects factor is that influence is described wait estimate characteristic generated gain after the office point to be measured is opened
The factor of size.Can gain shadow corresponding with characteristic to be estimated in each gain sub-scene be divided in advance according to the actual situation
The value range of the factor of sound.It gives the corresponding all gain effects factors of characteristic to be estimated and a value range conduct is respectively set
One gain sub-scene, the value range and other gain subfields of at least one gain effects factor in each gain sub-scene
Value range in scape is different.
Step 602: obtaining the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured.
Step 603: judge the value for opening influence factor whether all meet open preset value, if so, it is described to
It surveys office point and meets the condition for opening the characteristic to be estimated, execute step 604；If not, the office point to be measured be unsatisfactory for it is open-minded
The condition of the characteristic to be estimated executes step 610.
Step 602 and step 603 predominantly detect whether the office point to be measured has the network for opening the characteristic to be estimated
Hardware configuration.Under normal circumstances, the influence factor of opening includes that hardware setting, the networks such as networking and terminal type of eating dishes without rice or wine are hard
Part configuration.The office point to be measured must have all preset values for opening influence factor, be just able to satisfy and open the spy to be estimated
Property condition, there is one to open influence factor and do not have, be then unsatisfactory for opening the condition of the characteristic to be estimated, then it represents that this is waited for
The characteristic to be estimated cannot be opened by surveying office point.At this point, returning to the information for being unsatisfactory for opening the condition of the characteristic to be estimated, mention
Awake staff has configured all values for opening influence factor.
Step 604: obtaining the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured.
Step 605: whether the value for the influence factor that comes into force described in judgement, which all meets, comes into force preset value, if so, it is described to
The characteristic to be estimated is opened in survey office point to come into force, and execute step 606；If not, the office point to be measured open it is described to pre-
Estimating characteristic cannot come into force, and execute step 611.
Whether step 604 and step 605, which predominantly detect the office point to be measured that the characteristic to be estimated is opened and have, makes
Its software configuration to come into force.Under normal circumstances, the influence factor that comes into force is soft including the networks such as load and type of service of eating dishes without rice or wine
Part configuration.The office point to be measured must satisfy it is all so that the characteristic to be estimated is come into force the preset value of influence factor, be just able to satisfy
The condition for making the characteristic to be estimated come into force in the office point to be measured, has the influence factor that comes into force not have, then described to pre-
Estimating characteristic can not come into force in the office point to be measured, then it represents that the characteristic to be estimated is opened in the office point to be measured to come into force.This
When, it returns to the office point to be measured and opens the information that the characteristic to be estimated cannot come into force, remind staff to configure all
The value for the influence factor that comes into force.
Step 606: all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period are obtained,
Each gain event includes a value of every kind of gain effects factor.
Step 607: estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is the office to be measured
Point opens that described generated gain is big under the gain effects factor value range of the gain sub-scene after estimating characteristic
It is small.
Step 608: according to the scene of each gain sub-scene of the exploitation of every kind of influence factor in each gain event
Probability, the scene probability are the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened.
The value according to every kind of influence factor in each gain event determines the scene probability of each gain sub-scene
Include:
Determine gain sub-scene belonging to the value of gain effects factor in each gain event；
Calculate the scene probability of each gain sub-scene, the gain event that the scene probability is possessed by gain sub-scene
Number and acquired gain event number ratio.
Step 609: opening the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
It is logical described wait estimate yield value caused by characteristic.
Open institute in the office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
It states and includes: wait estimate yield value caused by characteristic
The sub-scene yield value of each gain sub-scene and the product of scene probability are calculated as the gain sub-scene
Estimate gain subvalue；
The sum for estimating gain subvalue of all gain sub-scenes is asked to open the characteristic to be estimated as the office point to be measured
Generated yield value.
Step 610: returning to the information for being unsatisfactory for opening the condition of the characteristic to be estimated.
Step 611: returning to the office point to be measured and open the information that the characteristic to be estimated cannot come into force.
Similar with embodiment two herein, the description of reference implementation example two, which is not described herein again.
What needs to be explained here is that a kind of method and dress for estimating characteristic gain size in a network provided herein
It sets and is suitable for WCDMA (Wideband Code Division Multiple Access, wideband code division multiple access), LTE (Long
Term Evolution, 3GPP long term evolution) and GSM (Global System for Mobile Communications, entirely
Ball mobile communication system) etc. network format as defined in 3GPP, needing to carry out opening to characteristic deployment, whens optimization etc., estimating spy
Property need the website opened and gain size.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (11)
1. a kind of device for estimating characteristic gain size in a network, which is characterized in that described device includes:
Division unit, for dividing the value of gain effects factor corresponding with characteristic to be estimated in each gain sub-scene in advance
Range, the gain effects factor be influence it is described wait estimate characteristic after office point to be measured is opened generated gain size because
Element；
First acquisition unit, for obtaining all gains opened in office point to be measured Suo Shu after estimating characteristic in preset time period
Event, each gain event include a value of every kind of gain effects factor；
Unit is estimated, for estimating the sub-scene yield value of each gain sub-scene, the sub-scene yield value is described to be measured
Open the generated gain under the gain effects factor value range of the gain sub-scene after estimating characteristic in office point
Size；
First computing unit, for each gain sub-scene of exploitation according to every kind of influence factor in each gain event
Scene probability, the scene probability are the general of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened
Rate；
Second computing unit, for the office to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation
Point is opened described wait estimate yield value caused by characteristic.
2. the apparatus according to claim 1, which is characterized in that first computing unit includes:
Classification subelement, for determining gain sub-scene belonging to the value of gain effects factor in each gain event；
Probability calculation subelement, for calculating the scene probability of each gain sub-scene, the scene probability is gain sub-scene
The ratio of the number of the gain event possessed and acquired gain event number.
3. the apparatus according to claim 1, which is characterized in that second computing unit includes:
Product subelement, for calculating the sub-scene yield value of each gain sub-scene and the product of scene probability as the increasing
Beneficial sub-scene estimates gain subvalue；
It sums subelement, it is described for asking the sum for estimating gain subvalue of all gain sub-scenes to open as the office point to be measured
Wait estimate yield value caused by characteristic.
4. the apparatus according to claim 1, which is characterized in that described device further include:
Second acquisition unit, for obtaining the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured；
First judging unit is opened preset value for judging whether the value for opening influence factor all meets, is opened when described
When the value whole satisfaction of logical influence factor opens preset value, the office point to be measured meets the condition for opening the characteristic to be estimated.
5. device according to any one of claims 1-4, which is characterized in that described device further include:
Third acquiring unit, for obtaining the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured；
Second judgment unit, for judging whether the value of the influence factor that comes into force all meets the preset value that comes into force, when the life
The value for imitating influence factor all meets when coming into force preset value, and the characteristic to be estimated is opened in the office point to be measured to come into force.
6. a kind of device for estimating characteristic gain size in a network, which is characterized in that described device includes:
Memory and processor, for storing instruction, the processor is for transferring instruction, described instruction packet for the memory
It includes:
The value of gain effects factor corresponding with characteristic to be estimated in office point to be measured is obtained, the gain effects factor is influence institute
State the factor wait estimate characteristic generated gain size after the office point to be measured is opened；
The value for only changing a gain effects factor generates a gain sub-scene, generates and the gain effects factor number phase
With gain sub-scene, the type of the gain effects factor changed in each gain sub-scene is different；
Estimate each gain sub-scene open it is described wait estimate gain size caused by characteristic as sub-scene yield value；
According to the sub-scene yield value of each gain sub-scene calculate the office point to be measured open described in wait estimate characteristic produced by
Yield value.
7. a kind of method for estimating characteristic gain size in a network, which is characterized in that divided in each gain sub-scene in advance
The value range of gain effects factor corresponding with characteristic to be estimated, the gain effects factor are to influence the characteristic to be estimated
The factor of generated gain size after office point to be measured is opened, which comprises
Obtain all gain events opened in office point to be measured Suo Shu after estimating characteristic in preset time period, each gain event
A value including every kind of gain effects factor；
Estimate the sub-scene yield value of each gain sub-scene, the sub-scene yield value be the office point to be measured open it is described to
Estimate after characteristic the generated gain size under the gain effects factor value range of the gain sub-scene；
According to the scene probability of each gain sub-scene of the exploitation of every kind of influence factor in each gain event, the scene
Probability is the probability of the gain sub-scene occur after estimating characteristic described in the office point to be measured is opened；
The office point to be measured according to the sub-scene yield value of each gain sub-scene and scene probability calculation open described in wait estimate
Yield value caused by characteristic.
8. the method according to the description of claim 7 is characterized in that described according to every kind of influence factor in each gain event
Value determines that the scene probability of each gain sub-scene includes:
Determine gain sub-scene belonging to the value of gain effects factor in each gain event；
Calculate the scene probability of each gain sub-scene, for the gain event that the scene probability is possessed by gain sub-scene
Several ratios with acquired gain event number.
9. the method according to the description of claim 7 is characterized in that the sub-scene yield value according to each gain sub-scene
It is opened with office point to be measured described in scene probability calculation and described includes: wait estimate yield value caused by characteristic
Calculate the sub-scene yield value of each gain sub-scene and product the estimating as the gain sub-scene of scene probability
Gain subvalue；
It asks the sum for estimating gain subvalue of all gain sub-scenes to open the characteristic to be estimated as the office point to be measured to be produced
Raw yield value.
10. the method according to the description of claim 7 is characterized in that described obtain opens the spy to be estimated in office point to be measured
Before all gain events after property in preset time period further include:
Obtain the value for opening influence factor corresponding with characteristic to be estimated in office point to be measured；
Judge whether the value for opening influence factor all meets and opens preset value；
When the value for opening influence factor, which all meets, opens preset value, the office point satisfaction to be measured is opened described wait estimate
The condition of characteristic.
11. according to method described in claim 7-10 any one, which is characterized in that described obtain in office point to be measured opens institute
State method in front of all gain events after estimating characteristic in preset time period further include:
Obtain the value of the influence factor that comes into force corresponding with characteristic to be estimated in office point to be measured；
Whether the value for the influence factor that comes into force described in judgement all meets the preset value that comes into force；
When the value of the influence factor that comes into force, which all meets, comes into force preset value, the characteristic to be estimated is opened in the office point to be measured
It can come into force.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2014/083297 WO2016015240A1 (en) | 2014-07-30 | 2014-07-30 | Method and device for estimating gain value of characteristic in network |
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| Publication Number | Publication Date |
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| CN105519173A CN105519173A (en) | 2016-04-20 |
| CN105519173B true CN105519173B (en) | 2018-12-25 |
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| FI115578B (en) * | 2002-03-20 | 2005-05-31 | Nokia Corp | Telecommunication systems and receivers |
| US7058400B2 (en) * | 2002-06-14 | 2006-06-06 | Denso Corporation | Forward and reverse link channels dynamic processing gain |
| US7516050B2 (en) * | 2005-03-09 | 2009-04-07 | Poulin Christian D | Defining the semantics of data through observation |
| JP5326959B2 (en) * | 2009-09-16 | 2013-10-30 | 富士通株式会社 | Communication apparatus and communication method |
| GB2506937B (en) * | 2012-10-15 | 2015-06-10 | Toshiba Res Europ Ltd | A transceiver operating in a wireless communications network, a system and method for transmission in the network |
| CN103634828B (en) * | 2013-12-06 | 2017-02-15 | 中国联合网络通信集团有限公司 | Method and device for assessing WCDMA (wideband code division multiple access) network capacity |
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