CN102026262A - User experience assessment method and server - Google Patents

Abstract

The invention relates to a user experience assessment method and a server. The method comprises the steps of receiving all the user calling information reported by a base station, calculating performance index of the user according to the user calling information and grading the user according to the performance index. The method and server which are provided by the invention can carry out comprehensive quantitative assessment on the performance index experienced by each user in the whole network, thus obtaining the distribution of experiences of all the users in the whole network and better reflecting the experience of the user when using the network.

Description

The user experiences appraisal procedure and server

Technical field

The present invention relates to communication technical field, specifically is in communication, the user is experienced method and the server of assessing.

Background technology

In the Performance Evaluation and optimization work of wireless network, can use following network performance index usually: call successful rate, cutting off rate, handover success rate etc.Every kind of index all is the health status that reflects current network from certain angle.Every performance index are normally added up by network element.With CDMA ((CodeDivision Multiple Access, code division multiple access) call successful rate of network, the call successful rate that comprises whole network, call successful rate, the call successful rate of cell level and the call successful rate of each contained fan of each different BSC (Base Station Controller, base station controller).The numerical value of every index acquires a certain degree and then thinks the normal or even outstanding work of network work.Such as call successful rate, in cdma network, reach and think that this index is good.

What network performance index was paid close attention to is the working condition of network, but the quality of network performance index is not equivalent to the quality of user's impression in the network.Call successful rate with 97% is an example, call out for 100 times 3 failures are arranged, suppose it is same user's call failure, if these 3 times failures are respectively each once failures every day in 3 days, compare with 3 continuous failures in a minute, does which kind of situation user experience difference? obviously, make a phone call the continuously scene of access failure more allows the user irritated.Moreover, for the calling of 97 successes, whether each time has the user felt quite pleased? principle from performance statistics, insert for call, the base station be to the reverse business of A1 mouth assign and finish this step of message and just think once successful calling, but because of the resource of base station assigns problem is arranged probably, the perhaps problem of wireless environment, the situation of single-pass occurs and cause the calling and called communication that problem is arranged, caller or called subscriber can very fast on-hooks like this.Such scene for the user, is experienced bad equally.But from the angle of performance index, it is successful calling out access, and it also is normal calling out release, and network index is not had any influence.

At present operator more and more pays close attention to the problem that user in its network experiences quality, and it is satisfied to network that how many users are promptly arranged, and has how many users that network is discontented with.Above-mentioned prior art can not the fine impression that embodies the user.

Summary of the invention

Main purpose of the present invention provides a kind of user that can react user's impression and experiences appraisal procedure and server.

The technical solution adopted for the present invention to solve the technical problems is:

A kind of user experiences appraisal procedure, it is characterized in that, comprising:

Receive all customer call information that the base station reports;

Performance index according to described customer call information calculations user;

According to described performance index the user is marked.

Preferably, described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

Preferably, describedly the user is marked, specifically comprises according to described performance index:

Set user's initialization score value;

The deduction of points value that deducts described each performance index with described user's initialization score value obtains described user's last score value.

Preferably, the process according to described customer call information calculations user's percept of call completed specifically comprises:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right..$

Preferably, the process according to described customer call information calculations user's cutting off rate specifically comprises:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r is set;

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right..$

Preferably, the process according to described customer call information calculations user's call slip passband specifically comprises:

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

Preferably, the process of calling out access rate according to described customer call information calculations user's weak pilot tone specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak

Thresholding P is set _Weak, reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

Weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Preferably, the process according to described customer call information calculations user's Reverse Fundamental Channel frame error rate specifically comprises:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Preferably, the process according to described customer call information calculations user's forward fundamental channel frame error rate specifically comprises:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

The present invention also provides a kind of server, and it comprises:

Information receiving unit is used to receive all customer call information that the base station reports;

The index computing unit is used for the performance index according to described customer call information calculations user;

The scoring unit is used for according to described performance index the user being marked.

Preferably, described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

Preferably, described scoring unit also comprises:

The initializing set subelement is used to set user's initialization score value;

Final score value computing unit is used for the last score value that deduction of points value that initialization score value with described user deducts described each performance index obtains described user.

Preferably, described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's percept of call completed:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right..$

Preferably, described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's cutting off rate:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r is set;

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right..$

Preferably, described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's call slip passband:

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

Preferably, described index computing unit, the process that is used for calling out according to described customer call information calculations user's weak pilot tone access rate specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak

Thresholding P is set _Weak, reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

Weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Preferably, described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's Reverse Fundamental Channel frame error rate:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Preferably, described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's forward fundamental channel frame error rate:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Implement technical scheme of the present invention, have following beneficial effect: the performance index of the impression to each user in the whole network provided by the invention are carried out the quantitative evaluation of a plurality of angles, thereby obtain the distribution situation of experiencing of all users in the whole network.Use the impression of network with better reaction user.

Description of drawings

The method flow diagram that Fig. 1 provides for the embodiment of the invention;

The structural representation of the server that Fig. 2 provides for the embodiment of the invention;

The structural representation of the scoring unit that Fig. 3 provides for the embodiment of the invention.

The realization of the object of the invention, functional characteristics and advantage will be in conjunction with the embodiments, are described further with reference to accompanying drawing.

Embodiment

In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.

The embodiment of the invention provides a kind of user to experience appraisal procedure, and as shown in Figure 1, this method comprises:

All customer call information that S110, reception base station report;

S120, according to described customer call information calculations user's performance index;

S130, the user is marked according to described performance index.In the present embodiment, this step S130 more specifically comprises: the initialization score value of setting the user; The deduction of points value that deducts described each performance index with described user's initialization score value obtains described user's last score value.Wherein, in the present embodiment, it is full marks that initialization assessment branch Score can be set, promptly 100 minutes, in other embodiments, it is 10 minutes that full marks can be set, perhaps other marks, on this basis, assess by the following index respectively, deduct the deduction of points value of every performance index with Score, Score is minimum to be 0 minute, when Score＜=0 timesharing, then follow-up performance Index Calculation is no longer carried out.

In the present embodiment, concrete, described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

Wherein, in the above-described embodiments, preferably:

The process of above-mentioned percept of call completed according to described customer call information calculations user specifically comprises:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail(be N _Fail* 100/N _All);

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right.$

Wherein, in the above-described embodiments, preferably:

The process of above-mentioned cutting off rate according to described customer call information calculations user specifically comprises:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop(be N _Drop* 100/N _Traff);

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r is set;

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right.$

Wherein, in the above-described embodiments, preferably:

The process of above-mentioned call slip passband according to described customer call information calculations user specifically comprises:

Single-pass refers to call out and enters conversation state afterwards because unidirectional noiseless, and the user has discharged calling soon.It is as follows that single-pass is called out judgement:

Calling is normal release;

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

Wherein, in the above-described embodiments, preferably:

The process that above-mentioned weak pilot tone according to described customer call information calculations user is called out access rate specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak(be N _Weak* 100/N _All);

Thresholding P is set _Weak(dB of unit), reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then: weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Wherein, in the above-described embodiments, preferably:

In the time-continuing process of calling out, the server periodic sampling of system Reverse Fundamental Channel frame error rate at that time, statistics Reverse Fundamental Channel frame error rate drops on each interval number of times, reports when end of calling.

Concrete, the process of above-mentioned Reverse Fundamental Channel frame error rate according to described customer call information calculations user specifically comprises:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Wherein, in the above-described embodiments, preferably:

The server of system can calculate the forward fundamental channel frame error rate of primary channel according to each time PMRM (Power Measurement Report Message) message of terminal to report, then count value is carried out in its by stages and adds up, and reports when end of calling.

Concrete, the process of above-mentioned forward fundamental channel frame error rate according to described customer call information calculations user specifically comprises:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding Ti are set, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Through the calculating of above index, user's final score Score is:

Score＝100-S _fail-S _drop-S _s-S _weak-S _rfer-S _ffer。

If Score is minimum is 0 minute, and when negative occurring, calculating can be interrupted, and score Score is 0 minute.

The method that provides by the foregoing description, thus the distribution situation of the impression quality of all users in the whole network can be obtained.

An application examples of using the method that the foregoing description provides is provided below:

A, obtain the information of the all-calls that reports from the base station, obtain the related data that corresponding index calculates;

B, basis report the information of calling, extract all users' identifying information, for the CDMA2000 system, can use IMSI to identify different users;

C, all users' of initialization point value of evaluation is 100;

D, for each IMSI, statistics call failure rate r30 is continuous 2 call failure number of times m and the continuous frequency n of call failure more than 2 times in 30 seconds in second, according to each IMSI of algorithm computation of table one at the deduction of points value S aspect the call failure _Fail:

Table one

E, for each IMSI, statistics is called out cutting off rate r, calls out number of dropped calls m and the continuous number of dropped calls n that calls out more than 2 times continuous 2 times, according to each IMSI of algorithm computation of table two at the deduction of points value S aspect the call drop _Drop

Table two

F, for each IMSI, statistics single session single number accounts for the ratio r of the call count that enters conversation state, wherein the single-pass ticket is defined as:

Calling is normal release;

Calling enters conversation state and is less than 10 seconds to the time interval between discharging constantly;

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than 10%.

Single-pass rate deduction of points value S _sSee Table three.

Call failure rate r (%)	The deduction of points value
		[0，10)	r
[10，40)	r×1.2
		[40，100]	50

Table three

G, for each IMSI, the weak pilot tone when statistics call out to insert calls out access rate and is lower than-number of calls of 13dB accounts for the percentages r that this customer call inserts total degree.Weak pilot tone when then inserting is called out access rate distribution situation deduction of points value S _WeakSee Table four:

?r(％)	The deduction of points value
		?[0，5)	0
?[5，10)	1
		?[10，20)	5
?[20，50)	10
		?[50，100]	20

Table four

H, for each IMSI, all enter in conversation state and the normal all-calls that discharges at it, the Reverse Fundamental Channel frame error rate periodic sampling value that reports for per call, all enter the percentages r of the conversation state and the normal number of calls that discharges to the Reverse Fundamental Channel frame error rate of adding up this user greater than the number of times of the calling of thresholding 20% and this user greater than the ratio of 10% sampling number and total sampling number.Then the Reverse Fundamental Channel frame error rate subtracts branch S _RferSee Table four:

?r(％)	The deduction of points value
		?[0，5)	0
?[5，20)	5
		?[20，50)	10
?[50，100]	20

Table five

I, for each IMSI, all enter in conversation state and the normal all-calls that discharges at it, each time PMRM message that reports for per call, calculate the forward fundamental channel frame error rate value in each time PMRM message, all enter the percentages r of the conversation state and the normal number of calls that discharges to the forward direction frame error rate of adding up this user greater than the number of times of the calling of thresholding 20% and this user greater than 10% the ratio that PMRM number and PMRM always report number of times of reporting.Forward fundamental channel frame error rate S then _FferThe deduction of points value sees Table six:

?r(％)	Subtract branch
		?[0，5)	0
?[5，20)	5
		?[20，50)	10
?[50，100]	20

Table six

The assessment score Score=100-S of J, each IMSI _Fail-S _Drop-S _s-S _Weak-S _Rfer-S _FferIf Score＜=0, then Score is 0 minute.Like this, the user who obtains whole all users of network experiences assessment result.According to the distribution situation of score,, can obtain the impression situation that the active user uses network in conjunction with various analysis diagrams.

The embodiment of the invention also provides a kind of server, and as shown in Figure 2, this server comprises:

Information receiving unit 210 is used to receive all customer call information that the base station reports;

Index computing unit 220 is used for the performance index according to described customer call information calculations user; In the present embodiment, described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

Scoring unit 230 is used for according to described performance index the user being marked.In other embodiment, concrete as shown in Figure 3, described scoring unit 230 also comprises:

Initializing set subelement 231 is used to set user's initialization score value;

Final score value computing unit 232 is used for the last score value that deduction of points value that initialization score value with described user deducts described each performance index obtains described user.

In other embodiment, preferred, These parameters computing unit 220 is used for specifically comprising according to the process of described customer call information calculations user's percept of call completed:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right.$

In other embodiment, preferred, These parameters computing unit 220 is used for specifically comprising according to the process of described customer call information calculations user's cutting off rate:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r (r＞1) is set.

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right.$

In other embodiment, preferred, These parameters computing unit 220 is used for specifically comprising according to the process of described customer call information calculations user's call slip passband:

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel(second);

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

In other embodiment, preferred, These parameters computing unit 220, the process that is used for calling out according to described customer call information calculations user's weak pilot tone access rate specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak

Thresholding P is set _Weak, reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding Ti are set, and the deduction of points value V in respective threshold interval _i, then:

Weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

In other embodiment, preferred, These parameters computing unit 220 is used for specifically comprising according to the process of described customer call information calculations user's Reverse Fundamental Channel frame error rate:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding Ti are set, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

In other embodiment, preferred, These parameters computing unit 220 is used for specifically comprising according to the process of described customer call information calculations user's forward fundamental channel frame error rate:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding Ti are set, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

Below only be preferred embodiment of the present invention,, all any modifications of being done within the spirit and principles in the present invention, be equal to and replace and improvement etc., all should be included within protection scope of the present invention not in order to restriction the present invention.

Claims (18)

1. a user experiences appraisal procedure, it is characterized in that, comprising:

Receive all customer call information that the base station reports;

Performance index according to described customer call information calculations user;

According to described performance index the user is marked.

2. method according to claim 1 is characterized in that described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

3. as method as described in the claim 2, it is characterized in that, describedly the user marked, specifically comprise according to described performance index:

Set user's initialization score value;

The deduction of points value that deducts described each performance index with described user's initialization score value obtains described user's last score value.

4. as method as described in the claim 3, it is characterized in that, specifically comprise according to the process of described customer call information calculations user's percept of call completed:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right..$

5. as method as described in the claim 3, it is characterized in that, specifically comprise according to the process of described customer call information calculations user's cutting off rate:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r is set;

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right..$

6. as method as described in the claim 3, it is characterized in that, specifically comprise according to the process of described customer call information calculations user's call slip passband:

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

7. as method as described in the claim 3, it is characterized in that the process of calling out access rate according to described customer call information calculations user's weak pilot tone specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak

Thresholding P is set _Weak, reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

Weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

8. as method as described in the claim 3, it is characterized in that, specifically comprise according to the process of described customer call information calculations user's Reverse Fundamental Channel frame error rate:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

9. as method as described in the claim 3, it is characterized in that, specifically comprise according to the process of described customer call information calculations user's forward fundamental channel frame error rate:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

10. a server is characterized in that, comprising:

Information receiving unit is used to receive all customer call information that the base station reports;

The index computing unit is used for the performance index according to described customer call information calculations user;

The scoring unit is used for according to described performance index the user being marked.

11. as server as described in the claim 10, it is characterized in that described performance index comprise: percept of call completed, cutting off rate, call slip passband, weak pilot tone are called out access rate, Reverse Fundamental Channel frame error rate and primary channel frame error rate forward.

12., it is characterized in that described scoring unit also comprises as server as described in the claim 11:

The initializing set subelement is used to set user's initialization score value;

Final score value computing unit is used for the last score value that deduction of points value that initialization score value with described user deducts described each performance index obtains described user.

13., it is characterized in that described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's percept of call completed as server as described in the claim 12:

Calculate the times N of this user's call failure _FailWith call count N _AllThe percentage R of ratio _Fail

The high threshold T of call failure rate is set _{Fail_h}With low threshold T _{Fail_l}With percept of call completed weight deduction of points factor r (r＞1) is set;

Time threshold T is set _Fail, add up this user at T _FailThe times N of continuous x call failure of this user at interval _D1, add up this user at T _FailThe times N of continuous x above call failure at interval _D2, and continuous failure weight factor F is set _F1And F _F2

The deduction of points value S of final percept of call completed _FailFor:

$S_{\mathrm{fail}}=\left\{\begin{array}{c}{R}_{\mathrm{fail}}+\frac{R_{\mathrm{fail}}\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},R_{\mathrm{fail}}<T_{\mathrm{fail}\_l}\\ R_{\mathrm{fail}}\&times;r+\frac{R_{\mathrm{fail}}\&times;r\&times;(N_{f1}\&times;F_{f1}+N_{f2}\&times;F_{f2})}{N_{\mathrm{fail}}},T_{\mathrm{fail}\_l}\&le;R_{\mathrm{fail}}<T_{\mathrm{fail}\_h}\\ 100,R_{\mathrm{fail}}\&GreaterEqual;T_{\mathrm{fail}\_h}\end{array}\right..$

14., it is characterized in that described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's cutting off rate as server as described in the claim 12:

Calculating enters the times N of call drop after the conversation state _DropEnter the conversation state times N with calling _TraffThe percentage R of ratio _Drop

The high threshold T of cutting off rate is set _{Drop_h}With low threshold T _{Drop_l}With cutting off rate deduction of points factor r is set;

Time threshold T is set _Drop, add up this user at T _DropThe times N of calling out call drop x time continuously at interval _D1, add up this user at T _DropCall out the times N of call drop at interval continuously more than x time _D2, and continuous call drop weight factor F is set _D1And F _D2

The deduction of points value S of cutting off rate then _DropFor:

$S_{\mathrm{drop}}=\left\{\begin{array}{c}{R}_{\mathrm{drop}}+\frac{R_{\mathrm{drop}}\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},R_{\mathrm{drop}}<T_{\mathrm{drop}\_l}\\ R_{\mathrm{drop}}\&times;r+\frac{R_{\mathrm{drop}}\&times;r\&times;(N_{d1}\&times;F_{d1}+N_{d2}\&times;F_{d2})}{N_{\mathrm{drop}}},T_{\mathrm{drop}\_l}\&le;R_{\mathrm{drop}}<T_{\mathrm{drop}\_h}\\ 100,R_{\mathrm{drop}}\&GreaterEqual;T_{\mathrm{drop}\_h}\end{array}\right..$

15., it is characterized in that described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's call slip passband as server as described in the claim 12:

Calling is less than thresholding T from entering conversation state to the time interval discharging constantly _Rel

The quantitative proportion that the forward direction full-rate vocoding quantity of calling out accounts for all forward frame is lower than thresholding T _FwdframeStatistics user's single-pass call number N _sAccount for the call number N that enters conversation state _TraffPercentages R _sThen:

The deduction of points value S of call slip passband _sFor:

$S_s=\left\{\begin{array}{c}{R}_s,R_s\&times;T_{s\_l}\\ R_s\&times;r,T_{s\_l}\&le;R_s<T_{s\_h}\\ V_{\mathrm{up}},R_s\&GreaterEqual;T_{s\_h}\end{array}\right.$

Wherein r is the single-pass rate deduction of points factor, and satisfies Rs * r＜V _Up

T _{S_h}And T _{S_l}Be respectively high threshold and low threshold;

V _UpBe call slip passband deduction of points higher limit.

16. as server as described in the claim 12, it is characterized in that, described index computing unit, the process that is used for calling out according to described customer call information calculations user's weak pilot tone access rate specifically comprises:

The number of calls N that the weak pilot tone in statistical-reference sub-district inserts _WeakAccount for total number of calls N _AllThe percentage R of ratio _Weak

Thresholding P is set _Weak, reference cell intensity is lower than this thresholding P when calling out access _WeakBe that weak pilot tone inserts and calls out;

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

Weak pilot tone is called out the deduction of points value S of access rate _WeakFor:

$S_{\mathrm{weak}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{weak}}<T_1\\ V_2,T_1\&le;R_{\mathrm{weak}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{weak}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{weak}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

17., it is characterized in that described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's Reverse Fundamental Channel frame error rate as server as described in the claim 12:

Thresholding T is set _Badrfer, call out for each road, according to each interval sampling number of Reverse Fundamental Channel frame error rate frame error rate, statistics Reverse Fundamental Channel frame error rate frame error rate surpasses thresholding T _BadrferSampling number account for the ratio R of total sampling number _Callbadrfer

Add up all users' R _CallbadrferSurpass thresholding T _CallbadrferNumber of calls N _Badrfer, calculate N _BadrferWith this customer call total degree N _AllRatio percentage be R _Rfer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of Reverse Fundamental Channel frame error rate rate _RferFor:

$S_{\mathrm{rfer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{rfer}}<T_1\\ V_{2x},T_1\&le;R_{\mathrm{rfer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{rfer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{rfer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

18., it is characterized in that described index computing unit is used for specifically comprising according to the process of described customer call information calculations user's forward fundamental channel frame error rate as server as described in the claim 12:

Thresholding T is set _Badffer, call out for each road, at each interval number of times, statistics forward fundamental channel frame error rate frame error rate surpasses thresholding T according to forward fundamental channel frame error rate frame error rate _BadfferCount value account for the ratio R of total count value _Callbadffer

For each user's calling, add up all R _CallbadfferSurpass thresholding T _CallbadfferNumber of calls N _Badffer, N _BadfferWith this customer call total degree N _AllRatio percentage be R _Ffer

A plurality of ratio thresholding T are set _i, and the deduction of points value V in respective threshold interval _i, then:

The deduction of points value S of forward fundamental channel frame error rate _FferFor:

$S_{\mathrm{ffer}}=\left\{\begin{array}{c}{V}_1,R_{\mathrm{ffer}}<T_1\\ V_2,T_1\&le;R_{\mathrm{ffer}}<T_2\\ \&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\\ V_i,T_{i-1}\&le;R_{\mathrm{ffer}}<T_i\\ V_{\mathrm{up}},R_{\mathrm{ffer}}\&GreaterEqual;T_i\end{array}\right.$

V wherein ₁＜V ₂＜...＜V _i＜V _UpV _UpBe the deduction of points higher limit.

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