CN104935446A - Network quality assessment method and device based on credibility mining - Google Patents

Abstract

The invention relates to the technical field of information. The embodiment of the invention discloses a network quality assessment method and device based on credibility mining, and the method comprises the steps: obtaining the current quality assessment of a target network for each piece of user equipment at this moment, and obtaining the historical quality assessment of the target network for each piece of user equipment at two historical moments before this moment; and obtaining the current comprehensive assessment value of the target network according to the current quality assessment and the historical quality assessment. According to the technical scheme of the invention, the method and device can solve a problem how to assess the network quality when the quality assessment of the same target network for different user equipment are different, and can prevent the big change of network quality assessment for different user equipment at the same time from affecting the accuracy of the network quality assessment.

Description

The network quality appraisal procedure excavated based on confidence level and device

Technical field

The present invention relates to areas of information technology, particularly relate to a kind of network quality appraisal procedure based on confidence level excavation and device.

Background technology

In the wireless network, the assessment of network quality is abnormal important, and the assessment of network quality is directly connected to the experience of subscriber equipment, also closely related with the investment of operator.Therefore, evaluating network quality is significant for operator and subscriber equipment exactly.

The mode of Evaluation: Current quality of wireless network generally can carry out critic network quality by parameters such as Network Call-drop Rate, and the result that this mode is assessed often differs larger with the experience of subscriber equipment.

Above-mentioned prior art is when critic network quality, often use the single sample or a few sample that obtain at one time as Appreciation gist, single or a few sample that the same time obtains can cause accuracy not high as Appreciation gist, because in the prior art scheme, target network environment and number of user equipment can along with time variations, and this network parameter that different user devices can be caused to reflect is in fact inconsistent.

Therefore the network quality assessment accuracy of the network quality of prior art evaluation is not enough.

Summary of the invention

The technical problem that the application mainly solves is to provide a kind of network quality appraisal procedure based on confidence level excavation and device, to solve the problem how evaluating network quality when different user devices there are differences same objective network quality evaluation, and the interference that different user devices brings in the accuracy that the network quality evaluation change that synchronization is done is assessed to network quality too greatly can be suppressed.

First aspect provides a kind of network quality appraisal procedure excavated based on confidence level, the method comprises: obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment obtained respectively at least two subscriber equipmenies before current time are for the history quality evaluation of objective network; The current composite evaluation of estimate of objective network is obtained according to current Quality evaluation and history quality evaluation.

In conjunction with first aspect, under the first possibility implementation of first aspect, the described current composite evaluation of estimate according to current Quality evaluation and history quality evaluation acquisition objective network comprises: solved by iterative manner and minimize the current composite evaluation of estimate that formula obtains objective network as follows:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of subscriber equipment, and O is the set of objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, obtain by judging the variation tendency that history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between a and b is larger, dis(a, b) value is larger.

In conjunction with first aspect, any one in the first possible implementation of first aspect, in the second possibility implementation, describedly obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment obtained respectively at least two subscriber equipmenies before current time are for the history quality evaluation of objective network, comprise: obtain each subscriber equipment at least two subscriber equipmenies respectively in the network quality parameters of current time under objective network, with pre-defined algorithm, network quality parameters is processed, produce current Quality evaluation, obtain the history quality evaluation of each subscriber equipment at least two subscriber equipmenies at least two historical junctures before current time for objective network respectively.

In conjunction with the second possibility implementation of first aspect, under the third possibility implementation, network quality parameters comprises chip energy/interference power density, received signal code power and/or terminal transmit power.

In conjunction with first aspect, first aspect first to any one in the third possible implementation, may under implementation at the 4th kind, the method also comprises: determine that at least two subscriber equipmenies experience evaluation of estimate in the speed of objective network; Speed is experienced evaluation of estimate and current composite evaluation of estimate compares, to verify current composite evaluation of estimate.

In conjunction with the 4th kind of possibility implementation of first aspect, under the 5th kind of possible implementation, determine that at least two subscriber equipmenies experience evaluation of estimate in the speed of objective network, comprise: the use duration obtaining flow that each subscriber equipment at least two subscriber equipmenies uses business datum to produce under objective network and business datum, according to flow and use the business experience speed of duration calculation at least two subscriber equipmenies under objective network; Obtain speed according to business experience speed and experience evaluation of estimate.

Second aspect, the embodiment of the present invention also provides a kind of network quality apparatus for evaluating excavated based on confidence level, comprise: quality evaluation acquisition module, for obtaining at least two subscriber equipmenies at current time for the history quality evaluation of at least two historical junctures before the current Quality evaluation of objective network and current time for objective network; Current composite evaluation of estimate acquisition module, for obtaining the current composite evaluation of estimate of objective network according to current Quality evaluation and history quality evaluation.

In the first possible implementation of second aspect, current composite evaluation of estimate acquisition module is used for being solved by iterative manner minimizing the current composite evaluation of estimate that formula obtains objective network as follows:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of subscriber equipment, and O is the set of objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, obtain by judging the variation tendency that history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between a and b is larger, dis(a, b) value is larger.

In conjunction with any one in the first possible implementation of second aspect and second aspect, quality evaluation acquisition module is used for obtaining each subscriber equipment at least two subscriber equipmenies respectively in the network quality parameters of current time under objective network, with pre-defined algorithm, network quality parameters is processed, generation current Quality is evaluated, and obtains the history quality evaluation of each subscriber equipment at least two subscriber equipmenies at least two historical junctures before current time for objective network respectively.

In conjunction with the implementation that the second of second aspect is possible, in the implementation that the third is possible, network quality parameters comprises chip energy/interference power density, received signal code power and terminal transmit power.

In conjunction with second aspect, second aspect first to any one in the third possible implementation, in the 4th kind of possible implementation, this device also comprises authentication module, authentication module comprises: speed experiences evaluation of estimate acquiring unit, for determining that at least two subscriber equipmenies experience evaluation of estimate in the speed of objective network; Comparison module, for experiencing evaluation of estimate by speed and current composite evaluation of estimate compares, to verify current composite evaluation of estimate.

In the 5th kind of possible implementation of second aspect, the use duration of the flow that authentication module uses business datum to produce specifically for each subscriber equipment obtained at least two subscriber equipmenies under objective network and business datum, according to flow and use the business experience speed of duration calculation at least two subscriber equipmenies under objective network; And obtain speed experience evaluation of estimate according to business experience speed.

Be different from the situation of prior art, embodiment of the present invention by obtain at least two subscriber equipmenies objective network current Quality evaluated and at least two historical junctures of described at least two subscriber equipmenies before current time for the history quality evaluation of described objective network, and the current composite evaluation of estimate of described objective network is obtained according to described current Quality evaluation and described history quality evaluation, due to history quality evaluation for foundation, and owing to considering the history quality evaluation of at least two historical junctures, therefore the factor that network quality changes in time can be taken into full account, different user devices can be suppressed to the network quality evaluation change of objective network too greatly to the interference that the accuracy of network quality assessment is brought simultaneously.

Accompanying drawing explanation

Fig. 1 is the flow chart that the present invention is based on network quality appraisal procedure first embodiment that confidence level is excavated;

Fig. 2 is the flow chart that the present invention is based on network quality appraisal procedure second embodiment that confidence level is excavated;

Fig. 3 is the apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating first embodiment that confidence level is excavated;

Fig. 4 is another apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating first embodiment that confidence level is excavated;

Fig. 5 is the apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating second embodiment that confidence level is excavated.

Embodiment

The object of the invention is to the defect for legacy network quality evaluation mode, provide the network quality appraisal procedure and device excavated based on confidence level, to overcome the problem existing for legacy network quality evaluation mode.

The present invention assesses in the current Quality evaluation of objective network and the network quality of history quality evaluation to objective network with reference at least two subscriber equipmenies at current time, to solve the problem how evaluating network quality when different user devices there are differences same objective network quality evaluation, and the interference that different user devices brings in the accuracy that the network quality evaluation change that synchronization is done is assessed to network quality too greatly can be suppressed.

Refer to Fig. 1, Fig. 1 is the flow chart that the present invention is based on network quality appraisal procedure first embodiment that confidence level is excavated, and as shown in Figure 1, the network quality appraisal procedure that the present invention is based on confidence level excavation comprises:

Step 101: obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network.

Step 102: the current composite evaluation of estimate obtaining described objective network according to described current Quality evaluation and described history quality evaluation.

Alternatively, in a step 102, can be solved by iterative manner and minimize the described current composite evaluation of estimate that formula obtains described objective network.

Minimize formula to be specially:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})\left(1\right)$

Wherein, K is the set of described subscriber equipment, and O is the set of described objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, it represents the variation tendency of the history quality evaluation of o objective network, obtain by judging the variation tendency that history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between described a and b is larger, described dis(a, b) value is larger.

In a step 101, each subscriber equipment obtained respectively at least two subscriber equipmenies specifically can realize in the following manner in the current Quality evaluation of current time for objective network: each subscriber equipment at least two subscriber equipmenies described in obtaining respectively is in the network quality parameters of current time under described objective network; With pre-defined algorithm, described network quality parameters is processed, produce described current Quality evaluation.

For example, described network quality parameters can comprise chip energy/interference power density, received signal code power and terminal transmit power.

In order to make those skilled in the art clearly understand the embodiment of the present invention, making below in conjunction with an application scenarios illustrating the present invention is based on network quality appraisal procedure first embodiment that confidence level excavates.

First table 1 is referred to.

Table 1:

The shown network quality parameters got under different target network for different user devices when time T is current time Time_5 of table 1.Wherein, subscriber equipment specifically can IMSI(International MobileSubscriber Identification Number, international mobile subscriber EIC equipment identification code) identify, objective network is with Cell ID(cell identities number) mark.Subscriber equipment comprises subscriber equipment USER_1, subscriber equipment USER_2, subscriber equipment USER_3, subscriber equipment USER_4.Objective network comprises objective network Cell_1, objective network Cell_2, objective network Cell_3.

Network quality parameters comprises Ec/Io(energy chip iterfere other, chip energy interference power density), RSCP(Received Signal Code Power, received signal code power) and UE_Tx_Power terminal transmit power.

Wherein, the acquisition of network quality parameters is by existing techniques in realizing:

Ec/Io is the gross power that the chip energy of downlink pilot frequency channel receives than upper UE.It reflects the interference level of system, relevant with the load of system.It weighs descending covering, is again the important criterion of handoff algorithms.It directly can be measured without despreading by UE, engineering is measured the Ec/Io of each community with scanner (WCDMA Scanner), optimizes and revises neighbor cell relation thus.

RSCP is the some signal code powers received on the physical channels such as DPCH, PRACH or PUSCH.In WCDMA RF optimizes, if PCPICH adopts transmit diversity, UE carries out receiving code power measurement respectively to the transmitting antenna of each community, and weighted sum is total receiving code performance number.

UE_Tx_Power is the transmitting power of UE, heel distance is relevant from the distance of base station, if distance base station is far away, transmitting power is just large, and near transmitting power will be little, if UE slowly can not receive the reply of RNC or core net after sending certain signaling, so it will think that RNC or core net do not receive signaling, constantly will improve the transmitting power of oneself, ensure that the content oneself sent can arrive RNC or core net, so the transmitting power of mobile phone constantly will adjust rising.UE_Tx_Power can be obtained by detecting dominant pilot.

Objective network quality Q c is calculated by pre-defined algorithm according to chip energy interference power density Ec/Io, received signal code power RSCP and terminal transmit power UE Tx Power.In Table 1, the current Quality that different target network is corresponding is evaluated Qc and is not calculated temporarily, therefore indicates with space character.

Below please refer to table 2.

Table 2:

be the history quality evaluations of 4 historical junctures of 3 subscriber equipmenies before current time Time_5 for objective network shown by table 2,4 historical junctures comprised historical juncture Time_1, historical juncture Time_2, historical juncture Time_3, historical juncture Time_4, Time_1, historical juncture Time_2, historical juncture Time_3, historical juncture Time_4 gradually close to current time Time_5.Wherein, table 2 can obtain from daily record (log) file.In embodiments of the present invention, the quantity of above-mentioned subscriber equipment and historical juncture is not limited to above-mentioned quantity, as long as ensure as at least two.

Below please refer to table 3.

Table 3:

Table 3 illustrates and to process network quality parameters with pre-defined algorithm, the current Quality evaluation produced.Wherein said pre-defined algorithm can be expressed as f(UE_Tx_Power, PSCP, ECIO), current Quality can be obtained according to following equation and evaluate Qc=f(UE_Tx_Power, PSCP, ECIO).

In embodiments of the present invention, pre-defined algorithm can be arranged according to actual conditions, for example, can set the evaluation of estimate of above-mentioned three kinds of network quality parameters in certain threshold range, three values be added up, is this network quality evaluation.

Such as setting terminal transmitting power UE_Tx_Power is evaluated as 1 between first terminal transmitting power threshold value and the second terminal transmit power threshold value, and being greater than this interval is 2, and being less than this interval is 0; Setting received signal code power RSCP is evaluated as 1 between the first received signal code power threshold value and the second received signal code power threshold value, and being greater than this interval is 2, and being less than this interval is 0; Setting chip energy interference power density Ec/Io is evaluated as 1 between the first chip energy interference power density threshold and the second chip energy interference power density threshold, and being greater than this interval is 2, and being less than this interval is 0.It should be noted that, the concrete numerical value of first terminal transmitting power threshold value and the second terminal transmit power threshold value, the first received signal code power threshold value and the second received signal code power threshold value, the first chip energy interference power density threshold and the second chip energy interference power density threshold can set according to actual needs, and the present invention is not construed as limiting this.

Therefore, by utilizing equation Qc=f(UE_Tx_Power, PSCP, ECIO) the concrete numerical value that current Quality as shown in table 3 evaluates Qc can be obtained.

Below please refer to table 4.

Table 4:

Table 4 is that the objective network current Quality obtained evaluates form with objective network Cell for dimension sorting table 3.

Current Quality evaluation according to table 4 and table 2 and history quality evaluation, can utilize following iterative formula (1):

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})\left(1\right)$

Carry out interative computation to obtain current composite evaluation of estimate.

Specifically, above-mentioned formula (1) can be carried out mathematic(al) manipulation, thus obtain formula (2):

$V_o^{*}=\arg \max \underset{k=1}{\overset{k}{\mathrm{\Σ}}}{w}_k\·I(v,v_{\mathrm{ko}})+\mathrm{similarity}(v,v_{\mathrm{history}})---\left(2\right)$

In formula (2), be the current composite evaluation of estimate of o objective network, w _kfor the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, I (v, v _ko) be indicator function, if V and V _koequal, its value is 1, otherwise is 0.V _korepresent that subscriber equipment k is to the concrete evaluation of estimate of current network, V represents the ideal value of often taking turns iteration, v _historythe history quality evaluation of table 2, similarity() be a subscriber equipment SQL, for obtaining the value closest to history evaluation variation tendency.

According to above-mentioned formula, through the iterative computation that subscriber equipment many groups is evaluated, objective network quality overall evaluation will restrain.Thus obtain the current composite evaluation of estimate of objective network Cell_1, Cell_2, Cell_3 respectively.

Below will describe iterative process in detail, and first, more than give an account of the pre-defined algorithm continued and calculate current Quality evaluation, and the weight of initialising subscriber equipment User_1, User_2, User_3 and User_4.Under normal circumstances, the initial weight w of each subscriber equipment predeterminable _k=1, i.e. w1=1, w2=1, w3=1, w4=1.

As shown in table 4, the subscriber equipment User_1 of objective network Cell_1 and the current Quality of subscriber equipment User_3 are evaluated 3 and 5 and are respectively occurred once, weight and equal, be 1, but by the history quality evaluation shown in table 2, known Cell_1 is respectively 2 in each moment history quality evaluation, 3,3, therefore can determine its history quality evaluation and As time goes on then tend towards stability to 3 convergences, be i.e. the history quality evaluation convergency value of Cell_1 at this moment can think that objective network Cell_1 is to 3 convergences, therefore show that objective network Cell_1 is 3 in the current composite evaluation of estimate of current time T_5.

There is secondary in the current Quality evaluation 3 of objective network Cell_2, its weight and be 2, and current Quality is evaluated 5 and occurred once, its weight and be 1, show that Cell_2 is 3 in the current composite evaluation of estimate of current time T_5.

The current Quality of objective network Cell_3 evaluates the evaluation weight of 3 and 5 and equal, evaluation history table shown in reference table 2, the network quality of Cell_3 does not restrain to 3 or 5, therefore, in first time interative computation, temporarily can not get the evaluation in the T_5 moment of Cell_3.

Therefore the first round iteration result shown in table 5 is obtained.

Below please refer to table 5.

Table 5:

table 5 illustrates after formula makes first round iteration, the first round iteration result obtained.

According to the evaluation result that last round of iteration draws, upgrade subscriber equipment weight.After have updated the current composite evaluation of estimate of objective network Cell_1 and objective network Cell_2, subscriber equipment User_1 is consistent with current composite evaluation of estimate with the evaluation result of subscriber equipment User_2, and weight is constant.

According to table 5, in objective network Cell_1 and objective network Cell_2, subscriber equipment User_3 is for objective network Cell_1, subscriber equipment User_4 is for each once inconsistent evaluation of objective network Cell_2, and therefore the confidence level of subscriber equipment User_3 and subscriber equipment User_4 should be lower relative to subscriber equipment User_1 and subscriber equipment User_2.

With reference to evaluation history table (namely going up table 2), because objective network Cell_1 is to 3 convergences, can think that the stability of objective network Cell_1 is greater than objective network Cell_2, therefore associative list 5, the confidence level of subscriber equipment User_3 should be lower relative to subscriber equipment User_4, therefore the weight of subscriber equipment User_3 should adjust lower than subscriber equipment User_4.So the weight after being upgraded as follows:

w1=1,w2=1,w3=0.6,w4=0.8

Wherein, the numerical value such as above-mentioned 0.6 and 0.8 is only exemplary illustration, and the decline rule of weight can be chosen by the difference of practical application scene.

Use the weight after upgrading, again substitute into formula (2) and carry out iterative computation, the current composite evaluation of estimate in the T_5 moment of objective network Cell_1 and Cell_2 is still constant, objective network Cell_3 reduces because of the confidence level of subscriber equipment User_3, current Quality is evaluated as the weight of 5 and is 0.8, be greater than the weight and 0.6 that current Quality is evaluated as 3, get the maximum between the two, show that objective network Cell_3 is 5 in the current composite evaluation of estimate of current time T_5.As table 6.

Table 6:

Repeat above-mentioned interative computation, still can obtain the data shown in table 6, therefore table 6 is the convergence result of final current composite evaluation of estimate.

In the present embodiment, by obtaining the history quality evaluation of at least two historical junctures before current Quality evaluation and current time for objective network, and the current composite evaluation of estimate of objective network is obtained according to current Quality evaluation and history quality evaluation, due to history quality evaluation for foundation, and owing to considering the history quality evaluation of at least two historical junctures, therefore the factor that network quality changes in time can be taken into full account, different user devices can be suppressed to the network quality evaluation change of objective network too greatly to the interference that the accuracy of network quality assessment is brought simultaneously.

Below refer to Fig. 2, Fig. 2 is the flow chart that the present invention is based on network quality appraisal procedure second embodiment that confidence level is excavated, and as shown in Figure 2, the network quality appraisal procedure that the present invention is based on confidence level excavation comprises:

Step 201: obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network.

Step 202: the current composite evaluation of estimate obtaining described objective network according to described current Quality evaluation and described history quality evaluation.

Alternatively, in step 202., can be solved by iterative manner and minimize the described current composite evaluation of estimate that formula obtains described objective network.

Minimize formula to be specially:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of subscriber equipment, and O is the set of objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, obtain by judging the variation tendency that history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between a and b is larger, dis(a, b) value is larger.

Step 203: described in determining, at least two subscriber equipmenies experience evaluation of estimate in the speed of described objective network.

Step 204: described speed experience evaluation of estimate and described current composite evaluation of estimate are compared, to verify described current composite evaluation of estimate.When the two is consistent, perform step 206, when the two is inconsistent, perform step 205.

Step 205: the parameter minimized in formula is adjusted, re-starts interative computation.

Step 206: without the need to adjusting the parameter minimized in formula, described current composite evaluation of estimate is exported as a result.

The step 201 of the present embodiment is to 202 with to the present invention is based on the content that network quality appraisal procedure first embodiment that confidence level excavates introduces completely the same, and the present embodiment further increases step 203 for modelling verification to 206 on the basis of the first embodiment.

Particularly, in step 203, determine that at least two subscriber equipmenies are experienced evaluation of estimate in the speed of objective network and realized in the following manner: the use duration obtaining flow that each subscriber equipment at least two subscriber equipmenies uses business datum to produce under objective network and business datum, the business experience speed under objective network according to flow and use duration calculation at least two subscriber equipmenies.

In the present embodiment, calculate the perception speed (i.e. business experience speed) of subscriber equipment according to the business data packet of subscriber equipment under base station, verify the correctness of iterative model.

By confirming the ratio of the various subscriber equipment of miscellaneous service under objective network.And calculate the business experience speed of various each subscriber equipment main business (to use duration, flow etc. are as criterion).Thus determine the business experience rate behavior of each subscriber equipment, with judge speed experience evaluation of estimate (as under objective network 80% subscriber equipment 80% the about 256Kbps of service rate of http think that speed experiences evaluation of estimate for 3).

Further, when speed experiences evaluation of estimate and current composite evaluation of estimate is inconsistent, in step 205, subscriber equipment can go according to the experience of reality the self-defined part of subscriber equipment revised in above-mentioned model, such as, revise and obtain according to network quality parameters pre-defined algorithm that current Quality evaluates, revise weight and to decline rule etc.By above-mentioned modelling verification process, make obtained current composite evaluation of estimate closer to actual experience.

In the present embodiment, by obtaining the history quality evaluation of at least two historical junctures before current Quality evaluation and current time for objective network, and the current composite evaluation of estimate of objective network is obtained according to current Quality evaluation and history quality evaluation, due to history quality evaluation for foundation, and owing to considering the history quality evaluation of at least two historical junctures, therefore the factor that network quality changes in time can be taken into full account, different user devices can be suppressed to the network quality evaluation change of objective network too greatly to the interference that the accuracy of network quality assessment is brought simultaneously.Further, experiencing evaluation of estimate and current composite evaluation of estimate by comparing speed, iterative formula being adjusted, obtained current composite evaluation of estimate can be made closer to subscriber equipment actual experience.

Below refer to Fig. 3, Fig. 3 is the apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating first embodiment that confidence level is excavated, as shown in Figure 3, the network quality apparatus for evaluating that the present invention is based on confidence level excavation comprises quality evaluation acquisition module 301 and current composite evaluation of estimate acquisition module 302.

Quality evaluation acquisition module 301, for obtaining each subscriber equipment at least two users respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network; Current composite evaluation of estimate acquisition module 302, for obtaining the current composite evaluation of estimate of described objective network according to described current Quality evaluation and described history quality evaluation.Alternatively, described current composite evaluation of estimate acquisition module 302 minimizes specifically for being solved by iterative manner the described current composite evaluation of estimate that formula obtains described objective network as follows:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of subscriber equipment, and O is the set of objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, obtain by judging the variation tendency that history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between a and b is larger, dis(a, b) value is larger.

And carry out reference incorporated by reference to Fig. 4, Fig. 4 is another apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating first embodiment that confidence level is excavated, as shown in Figure 4, quality evaluation acquisition module 301 specifically for each subscriber equipment at least two subscriber equipmenies described in obtaining respectively in the network quality parameters of current time under described objective network, with pre-defined algorithm, described network quality parameters is processed, produce described current Quality evaluation, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network.

Current composite evaluation of estimate acquisition module 302, for obtaining the current composite evaluation of estimate of described objective network according to described current Quality evaluation and described history quality evaluation.

Alternatively, network quality parameters comprises chip energy/interference power density, received signal code power and terminal transmit power.

In the present embodiment, this device also comprises authentication module 303 and comparison module 304, described authentication module 303, for determining that at least two subscriber equipmenies experience evaluation of estimate in the speed of objective network;

Comparison module 304, for experiencing evaluation of estimate by speed and current composite evaluation of estimate compares, to verify current composite evaluation of estimate.

Wherein, the use duration of the flow that described authentication module 303 uses business datum to produce specifically for each subscriber equipment at least two subscriber equipmenies described in obtaining under described objective network and described business datum, according to described flow and use the business experience speed of at least two subscriber equipmenies under described objective network described in duration calculation; And obtain described speed experience evaluation of estimate according to described business experience speed.

In the present embodiment, by obtaining the history quality evaluation of at least two historical junctures before current Quality evaluation and current time for objective network, and the current composite evaluation of estimate of objective network is obtained according to current Quality evaluation and history quality evaluation, due to history quality evaluation for foundation, and owing to considering the history quality evaluation of at least two historical junctures, therefore the factor that network quality changes in time can be taken into full account, different user devices can be suppressed to the network quality evaluation change of objective network too greatly to the interference that the accuracy of network quality assessment is brought simultaneously.

Below refer to Fig. 5, Fig. 5 is the apparatus structure schematic diagram that the present invention is based on network quality apparatus for evaluating second embodiment that confidence level is excavated, as shown in Figure 3, the network quality apparatus for evaluating that the present invention is based on confidence level excavation comprises processor 601, memory 602, network interface 603 and communication bus 604.Processor 601, memory 602, network interface 603 are of coupled connections with communication bus 604 respectively, to carry out interactive communication.

Wherein, communication bus 604 is for realizing the connection communication between these assemblies, this communication bus 604 can be ISA(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral Component, peripheral component interconnect) bus or EISA(Extended Industry Standard Architecture, extended industry-standard architecture) bus etc.Described communication bus 604 can be one or more physical circuit, can be divided into address bus, data/address bus, control bus etc. when being many physical circuits.In some other implementation of the present invention, the modules that the embodiment of the present invention provides also can not be connected by the mode of bus, and directly establishes a communications link according to signal transmission relation.

Network interface 603 is for realizing the connection communication between this physical host and network, and such as this network interface 603 may be used for connecting the equipment such as physical network card and/or physical switches.

Memory 602 may comprise high random access memory body (RAM, Random Access Memory), still may comprise non-labile memory (non-volatile memory), such as at least one magnetic disc store.Optionally, this memory 602 can also comprise at least one and is positioned at storage device away from aforementioned processor 601.

In some embodiments, memory 602 stores following element, executable module or data structure, or their subset, or their superset:

Operating system 6021, comprises various system program, for realizing various basic business and processing hardware based task;

Application module 6022, comprises various application program, for realizing various applied business.

Network interface 603, for obtaining each subscriber equipment at least two subscriber equipmenies respectively in the network quality parameters of current time under objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the described history quality evaluation of described objective network.

Memory 602, for storage program, this program is used for processing described network quality parameters with pre-defined algorithm, produces current Quality evaluation.

This program is also for obtaining the current composite evaluation of estimate of described objective network according to described current Quality evaluation and described history quality evaluation.

Particularly, this program is used for be solved by iterative manner minimizing the described current composite evaluation of estimate that formula obtains described objective network.

Minimize formula to be specially:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of subscriber equipment, and O is the set of objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, it is the convergency value of the history quality evaluation of o objective network, α is the history quality evaluation Dynamic gene of subscriber equipment setting, wk is the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of difference function, difference between a and b is larger, dis(a, b) value is larger.

Processor 601, for running said procedure.

Alternatively, network quality parameters comprises chip energy/interference power density, received signal code power and terminal transmit power.

Alternatively, this program be further used for determining described at least two subscriber equipmenies experience evaluation of estimate in the speed of described objective network; And described speed experience evaluation of estimate and described current composite evaluation of estimate are compared, to verify described current composite evaluation of estimate.

Wherein, the use duration of the flow that network interface 603 also uses business datum to produce specifically for each subscriber equipment obtained at least two subscriber equipmenies under objective network and business datum, this program is also for according to flow and use the business experience speed of duration calculation at least two subscriber equipmenies under objective network; Obtain speed according to business experience speed and experience evaluation of estimate.

In the present embodiment, by obtaining the history quality evaluation of at least two historical junctures before current Quality evaluation and current time for objective network, and to be solved by iterative manner in conjunction with above-mentioned parameter and minimize the current composite evaluation of estimate that formula obtains objective network, take into full account the factor that network quality changes in time, obtain current composite evaluation of estimate according to history quality evaluation, different user devices can be suppressed to the network quality evaluation change of objective network too greatly to the interference that the accuracy of network quality assessment is brought simultaneously.

It should be noted that, each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device embodiment and terminal embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Such as, the determination of described preset value and described information can with reference to described in previous embodiment.

By the description of above execution mode, those skilled in the art can be well understood to the mode that terminal described in the embodiment of the present invention can add required common hardware by software and realize, and can certainly comprise application-specific integrated circuit (ASIC), dedicated cpu, private memory, special components and parts etc. realize by specialized hardware.Generally, all functions completed by computer program can realize with corresponding hardware easily, and the particular hardware structure being used for realizing same function also can be diversified, such as analog circuit, digital circuit or special circuit etc.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.

Claims (12)

1., based on the network quality appraisal procedure that confidence level is excavated, it is characterized in that, described method comprises:

Obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network;

The current composite evaluation of estimate of described objective network is obtained according to described current Quality evaluation and described history quality evaluation.

2. method according to claim 1, the described current composite evaluation of estimate obtaining described objective network according to described current Quality evaluation and described history quality evaluation comprises:

Solved by iterative manner and minimize the current composite evaluation of estimate that formula obtains described objective network as follows:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of described subscriber equipment, and O is the set of described objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, described in obtain by judging the variation tendency that described history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, w _kfor the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a described kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of described difference function, and the difference between described a and described b is larger, described dis(a, b) value is larger.

3. method according to claim 1 and 2, it is characterized in that, describedly obtain each subscriber equipment at least two subscriber equipmenies respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network, comprising:

Each subscriber equipment at least two subscriber equipmenies described in obtaining respectively, in the network quality parameters of current time under described objective network, processes described network quality parameters with pre-defined algorithm, produces described current Quality evaluation; And at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network.

4. method according to claim 3, is characterized in that, described network quality parameters comprises chip energy/interference power density, received signal code power and/or terminal transmit power.

5. the method according to any one of Claims 1-4, is characterized in that, described method also comprises:

Described in determining, at least two subscriber equipmenies experience evaluation of estimate in the speed of described objective network;

Described speed experience evaluation of estimate and described current composite evaluation of estimate are compared, to verify described current composite evaluation of estimate.

6. method according to claim 5, is characterized in that, described determine described at least two subscriber equipmenies experience evaluation of estimate in the speed of described objective network, comprising:

The use duration of the flow that each subscriber equipment at least two subscriber equipmenies described in acquisition uses business datum to produce under described objective network and described business datum, the business experience speed of at least two subscriber equipmenies under described objective network according to described flow and use duration calculation;

Obtain described speed according to described business experience speed and experience evaluation of estimate.

7., based on the network quality apparatus for evaluating that confidence level is excavated, it is characterized in that, comprising:

Quality evaluation acquisition module, for obtaining each subscriber equipment at least two users respectively in the current Quality evaluation of current time for objective network, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network;

Current composite evaluation of estimate acquisition module, for obtaining the current composite evaluation of estimate of described objective network according to described current Quality evaluation and described history quality evaluation.

8. device according to claim 7, is characterized in that, described current composite evaluation of estimate acquisition module minimizes specifically for being solved by iterative manner the current composite evaluation of estimate that formula obtains described objective network as follows:

$\underset{k\∈k,o\∈O}{\mathrm{\Σ}}{w}_k\·\mathrm{dis}(V_o^{*},V_o^k)+\mathrm{\α}\underset{o\∈O}{\mathrm{\Σ}}\mathrm{dis}(V_o^{*},V_{\mathrm{history}}^{*})$

Wherein, K is the set of described subscriber equipment, and O is the set of described objective network, for a kth subscriber equipment is to the current Quality evaluation of o objective network, be the current composite evaluation of estimate of o objective network, be the convergency value of the history quality evaluation of o objective network, described in obtain by judging the variation tendency that described history quality evaluation is passed in time, α is the history quality evaluation Dynamic gene of subscriber equipment setting, w _kfor the evaluation weight of a kth subscriber equipment, and adjust according to the confidence level of a described kth subscriber equipment after each iteration, dis(a, b) be difference function, a and b is the substitution variable of described difference function, and the difference between described a and described b is larger, described dis(a, b) value is larger.

9. the device according to claim 7 or 8, is characterized in that, described quality evaluation acquisition module specifically for:

Each subscriber equipment at least two subscriber equipmenies described in obtaining respectively is in the network quality parameters of current time under described objective network, with pre-defined algorithm, described network quality parameters is processed, produce described current Quality evaluation, and at least two historical junctures of each subscriber equipment at least two subscriber equipmenies described in obtaining respectively before current time are for the history quality evaluation of described objective network.

10. device according to claim 9, is characterized in that, described network quality parameters comprises chip energy/interference power density, received signal code power and terminal transmit power.

11. devices according to any one of claim 7 to 10, it is characterized in that, described device also comprises:

Authentication module, experiences evaluation of estimate at least two subscriber equipmenies described in determining in the speed of described objective network;

Comparison module, for comparing described speed experience evaluation of estimate and described current composite evaluation of estimate, to verify described current composite evaluation of estimate.

12. devices according to claim 11, is characterized in that:

The use duration of the flow that described authentication module uses business datum to produce specifically for each subscriber equipment at least two subscriber equipmenies described in obtaining under described objective network and described business datum, according to described flow and use the business experience speed of at least two subscriber equipmenies under described objective network described in duration calculation; And obtain described speed experience evaluation of estimate according to described business experience speed.