CN1866865A - Fault positioning method in wireless network - Google Patents

Fault positioning method in wireless network Download PDF

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Publication number
CN1866865A
CN1866865A CN 200510124084 CN200510124084A CN1866865A CN 1866865 A CN1866865 A CN 1866865A CN 200510124084 CN200510124084 CN 200510124084 CN 200510124084 A CN200510124084 A CN 200510124084A CN 1866865 A CN1866865 A CN 1866865A
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coefficient
deviation
radio resource
resource object
abnormal
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CN100382509C (en
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姜青松
宋友厉
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

The invention discloses a fault location method of wireless network, which is characterized by the following: when the wireless resource gets out of order, the relative changeability of abnormal reason relating to the wireless resource object is quantized with statistical analysis method; the attention end ascertains main abnormal reason and treats fault location according to the quantification result. The invention improves the efficiency and accuracy of fault location.

Description

The method of fault location in the wireless network
Technical field
The present invention relates to wireless communication technology field, relate in particular to the method for fault location in a kind of wireless network.
Background technology
Cordless communication network (such as cdma network) access side device running environment complexity, changeful, afterwards the form of expression is various to cause Radio Resource to break down, and maintenance and location are very difficult.Influence the radio resource functionality index and mainly contain following a few class reason:
The big class of fault The fault group Phenomenon of the failure
The physical device class Transmission link is unusual Call drop, no audio, interrupted etc.
Physical device is aging Single-pass, noise, interrupted, trill etc.
The software associated class Configuration data is unusual No audio, single-pass etc.
The agreement flow processing is unusual No audio, single-pass etc.
The software algorithm design problem Intermittently, single-pass etc.
The wireless environment class Wireless signal disturbs Call drop, interrupted, trill etc.
Abnormal electrical power supply No audio, call drop etc.
It is a lot of to cause the unusual reason of Radio Resource, and phenomenon of the failure is staggered, and the existing fault localization process comprises two aspects: dynamic tracking location and static data analysis.The dynamic tracking positioning instant carries out specific aim drive test, reproduction problem and acquisition system data at the facility environment that goes wrong.The static analysis data are the system data that collects to be carried out semi-automation analyze, and use the browsing data instrument, in conjunction with handle experience in the past data and the flow process of paying close attention to positioned analysis.But because the data that arrive of system acquisition are relevant with vendor equipment, belonging to private data does not have the industry specification can reference, so the existing fault positioning flow does not have the model of maturation, this just press for can the automation realization Fault Locating Method and means.
At present, in daily O﹠M scenarios, normally carry out system-level performance evaluation by the performance index of periodic observation Wireless Communication Equipment, by the operation situation of considering the equipment of learning, as knowing the performance situation that the network equipment is at all levels from indexs such as telephone traffic, access success rate, cutting off rates to key index.
This mode only can navigate to the object information that breaks down, and can't locate the reason that breaks down.Descend as known certain cell telephone traffic amount, can further navigate to is that the telephone traffic which carrier frequency causes in this sub-district descends, but only just can't learn the failure cause that fault carrier frequency is concrete from the traffic statistics data.Can also find fault carrier frequency in the time period that telephone traffic descends, which alarm to occur by relevant alarm data, see if there is transmission fault, equipment fault, software fault etc., fault location can be refine to the alarm type that has reported by analyzing alarm data.
This fault location mode is according in certain period, and the correlation of single object and fault is come the fault location problem, but a plurality of often objects of actual conditions have the various faults phenomenon and deposit, and most faults are correlated with, and its variation tendency is similar.If only from the single object of the single fault orientation problem of starting with, efficient is very low, conclusion is one-sidedness just also.Perhaps can the dependence experience eliminate the part correlation fault, but flow process can't solidify, analysis efficiency can't improve at all.
In addition, in customer complaint and beginning test scene,, can recall analysis to software flow by the equipment operation relevant information records, the link that the location goes wrong according to suction parameters such as calling and called of complaining number.As the running log of analyzing wireless device prints, and can obtain the respective call flow process and situations such as unusual reason, relevant environment parameter, performance parameter occur.
This fault location mode only can be analyzed the specific user in operational single abnormal conditions, and what same user terminal occurred in a period of time is unusual various often, and abnormal causation value also has correlation.Only can not effectively find main abnormal cause based on the method for the unusual log information orientation problem of single, very low to the unusual location efficiency of correlation, can raise the efficiency based on empirical analysis, but be difficult to solidify, be difficult to realize analyzing automatically.
Therefore, be not difficult to find out that there is following problem in the existing fault localization method:
1, the fault locating analysis flow process can't be solidified;
2, need a large amount of artificial analyzing and processing, workload is big, and efficient is low;
3, fault locating analysis has limitation, can't orient fault object and failure cause exactly.
Summary of the invention
In view of above-mentioned existing in prior technology problem, the purpose of this invention is to provide the method for fault location in a kind of wireless network, can adopt fixing mode automation to carry out fault location and handle, reduced workload, improved the efficient of fault location.
The objective of the invention is to be achieved through the following technical solutions:
The invention provides the method for fault location in a kind of wireless network, comprise the steps:
A, after Radio Resource breaks down, the relative variability between each abnormal cause relevant with the Radio Resource object is quantized;
B, maintenance end are determined the main abnormal reason and are carried out the fault location processing according to quantized result and predetermined value.
Described steps A comprises:
The intensity of variation of each abnormal cause that A1, quantification are relevant with the Radio Resource object;
The excursion of each abnormal cause that A2, quantification are relevant with the Radio Resource object;
A3, quantize relative variability between each abnormal cause relevant with the Radio Resource object according to the intensity of variation of described each abnormal cause and excursion.
Described steps A 1 specifically comprises:
A11, the number of times that occurs in the unit interval based on time period statistics each abnormal cause relevant with the Radio Resource object;
A12, with the described number of times that occurs in the unit interval based on each abnormal cause of time period statistics as one group of sequence of values, calculate the coefficient of variation Rcv that respectively organizes sequence of values respectively, the formula of described calculating Rcv is: RCV = Stdevp Average ,
Wherein, mean value Average = ∑ i = 0 n - 1 m i n , Standard deviation Stdevp = ∑ i = 0 n - 1 ( m i - Arerage ) 2 n ,
m iBe the number of times that occurs in the abnormal cause unit interval relevant with the Radio Resource object.
Described steps A 2 specifically comprises:
The described number of times that occurs in the unit interval based on each abnormal cause of a time period statistics as one group of sequence of values, is calculated the range Rg that respectively organizes sequence of values respectively.
Described steps A 3 specifically comprises:
A31, the described Rcv that calculates is calculated its coefficient of deviation as one group of sequence of values;
A32, the described Rg that calculates is calculated its coefficient of deviation as one group of sequence of values;
The formula of the coefficient of deviation PR of described calculating Rcv and Rg is: PR = m i - Min ( m i ) Rg
Wherein, Rg=Max (m i)-Min (m i),
When calculating the coefficient of deviation of Rcv, m iOne group of sequence of values for the Rcv correspondence;
When calculating the coefficient of deviation of Rg, m iOne group of sequence of values for the Rg correspondence.
Described step B specifically comprises:
The threshold values of the coefficient of deviation of B1, the coefficient of deviation of setting Rcv and Rg;
B2, maintenance end compare the coefficient of deviation of the Rcv of described each abnormal cause and the coefficient of deviation of Rg respectively with the threshold values of setting, when certain mutagen because of the coefficient of deviation of Rcv and the coefficient of deviation of Rg during all greater than reservation threshold, then this abnormal cause is defined as the main abnormal reason, with described Radio Resource object as the main abnormal object.
The threshold values of the coefficient of deviation of described Rcv and the coefficient of deviation of Rg can be identical.
When described steps A is: when the relative variability between each abnormal cause relevant with two-layer Radio Resource object was up and down quantized respectively, described step B comprised:
Safeguard that end is defined as failure cause with the described common main abnormal reason of two-layer Radio Resource object up and down, is defined as fault object with corresponding lower floor Radio Resource object.
Described Radio Resource object comprises: the Radio Resource object of cell-level, sector-level and carrier frequency level by layering from top to bottom.
The threshold values of the coefficient of deviation of the described Rcv of each abnormal cause of two-layer Radio Resource object up and down that is associated and the coefficient of deviation of Rg is identical.
In the time can't determining described main abnormal reason or failure cause, adjust the threshold values of described setting according to the threshold values of setting.
As seen from the above technical solution provided by the invention, the present invention has following advantage:
1, can automation carry out the fault location processing, the fault locating analysis flow process is solidified;
2, reduce artificially participation, reduced workload, improved the efficient that fault location is handled;
3, can orient fault object and failure cause exactly.
Description of drawings
Fig. 1 is the flow chart of the described method of the embodiment of the invention.
Embodiment
Process is to the unusual analysis of the Radio Resource object of wireless network access side device, in a wireless network stable operation a period of time, if performance index such as telephone traffic are sudden change not, the number of times that occurs in the abnormal cause unit interval that is associated so should not produce sudden change yet, if produce sudden change, be that system takes place unusually certainly.This just needs an index to go the variation during this period of time of the same abnormal cause of quantitative measurement, and intensity of variation is represented with the coefficient of variation, can calculate by standard deviation and mean value, and the big more then corresponding coefficient of variation of suddenling change is big more.
Though the coefficient of variation has shown the degree of variation of sequence of values, if the excursion of related sequence of values not still can not be found effective abnormity point.Frequent because though some abnormal cause changes, only in a very little number range, change, there is not analysis significance.Therefore also need related abnormal cause excursion, can represent that the big more expression excursion of range is big more with range.
In order to determine concrete failure cause, also need to quantize relative variability between same all abnormal causes of Radio Resource object, can adopt coefficient of deviation to represent.When the coefficient of deviation of the coefficient of variation of certain abnormal cause and range all when setting threshold values, think that then this mutagen is because the main abnormal reason.
Said Radio Resource object is meant among the present invention: with the Radio Resource communication system in the wireless network from dividing by level in logic, the Radio Resource object, the Radio Resource object of sector-level and the Radio Resource object of carrier frequency level that comprise cell-level according to the order from the upper strata to the lower floor successively.
For the present invention there being further understanding, the present invention will be described in detail below in conjunction with accompanying drawing.
The specific embodiment of the present invention comprises the steps: as shown in Figure 1
Step 11: after confirming that Radio Resource breaks down, the number of times that occurs in the unit interval based on time period statistics each abnormal cause relevant with the Radio Resource object.
The number of times that can occur by the statistics abnormal causes such as performance index, warning information and log record of network.
The Radio Resource object can be cell-level, sector-level and the Radio Resource object of carrier frequency level.
The said unit interval, can determine according to actual needs, be often referred to one day.
The said time period was generally in 10 days, select in actual applications 3 to 7 days comparatively suitable.
Suppose that certain cell-level Radio Resource object A breaks down, in the 3 day time in the past, the abnormal cause relevant with this Radio Resource object A has that direct-cut operation is unusual, soft handover is unusual, service negotiation is unusual, wait timeout, Resources allocation are unusual etc. 11, add up the number of times of this 11 abnormal causes appearance every day in this 3 day time, wherein, the number of times that occurred in three days unusually of direct-cut operation is followed successively by 2685,2388 and 3391;
The number of times that soft switch occurred in three days unusually is followed successively by 2,0 and 5; Or the like.
In order to write down conveniently, with the abnormal cause coded representation, such as 11 abnormal causes such as represent respectively with KA1 to KA11 that direct-cut operation is unusual, soft handover is unusual, service negotiation is unusual, wait timeout, Resources allocation are unusual, the number of times statistics that corresponding abnormal cause occurs every day is as shown in table 1.
Abnormal cause The 1st day The 2nd day The 3rd day Coefficient of variation Rcv The coefficient of deviation of Rcv Range Rg The coefficient of deviation of Rg
KA1 2685 times 2388 times 3391 times 0.15 0 1003 0.3976
KA2 2 times 0 time 5 times 0.88 0.58 5 0.0016
KA3 4 times 15 times 7 times 0.54 0.31 11 0.0039
KA4 4 times 19 times 13 times 0.51 0.29 15 0.0055
KA5 79 times 493 times 2600 times 1.04 0.71 2521 1
KA6 12 times 3 times 10 times 0.46 0.25 9 0.0032
KA7 23 times 72 times 41 times 0.45 0.24 49 0.0190
KA8 12 times 4 times 1 time 0.82 0.53 11 0.0039
KA9 0 time 2 times 3 times 0.75 0.48 3 0.0007
KA10 0 time 0 time 1 time 1.41 1 1 0
KA11 0 time 0 time 46 times 1.41 1 46 0.0178
Table 1 is the statistics of abnormal cause occurrence number every day that certain cell-level Radio Resource object A is relevant in certain 3 day time.
Step 12: the degree of variation that quantizes each abnormal cause.
The method that quantizes the variability of abnormal cause is: the number of times that will occur based on each abnormal cause unit interval of a time period statistics calculates the coefficient of variation of respectively organizing sequence of values respectively as one group of sequence of values.
The process of calculating the coefficient of variation is: calculating mean value at first, and computing formula is:
Mean value Average = ∑ i = 0 n - 1 m i n Formula 1;
Then, the basis of calculation is poor, and computing formula is:
Standard deviation Stdevp = ∑ i = 0 n - 1 ( m i - Arerage ) 2 n Formula 2;
Calculate the coefficient of variation at last, computing formula is:
The coefficient of variation RCV = Stdevp Average Formula 3;
Wherein, m i(i=0,1,2 ... be the statistical value of abnormal cause occurrence number n-1), n represents the time period.
The statistical value sequence of 11 abnormal causes of KA1 to KA11 occurrence number every day in add up for table 1 in the step 11 3 days (wherein, n is 3), can calculate the coefficient of variation of these 11 abnormal causes respectively according to above-mentioned formula, as a column of figure of coefficient of variation Rcv correspondence in the table 1.
Step 13: the excursion that quantizes each abnormal cause.
The concrete grammar that quantizes the excursion of abnormal cause is: the number of times that will occur based on the abnormal cause unit interval of a period of time statistics is as one group of sequence of values m i(i=0,1,2 ... n-1), calculate the range of this group sequence of values.Computing formula is as follows:
Range Rg=Max (m i)-Min (m i) formula 4;
Can calculate (wherein, n the is 3) ranges of 11 abnormal causes of KA1 to KA11 in the table 1 according to above-mentioned formula, as a column of figure of range Rg correspondence in the table 1.
Step 14: quantize the relative variability between each abnormal cause.
The concrete grammar that quantizes the relative variability between each abnormal cause is: the coefficient of variation of the abnormal cause that calculates in step 12 and the step 13 and range respectively as one group of sequence of values, are calculated the coefficient of deviation of the coefficient of variation and range respectively.Computing formula is as follows:
Coefficient of deviation PR = m i - Min ( m i ) Rg Formula 5;
Wherein, the definition of Rg is with reference to formula 4.
When calculating the coefficient of deviation of the coefficient of variation, m i(i=0,1,2 ... the n-1) sequence of values of forming for the coefficient of variation of the abnormal cause that calculates in the step 12;
When calculating the coefficient of deviation of range, m i(i=0,1,2 ... the n-1) sequence of values of forming for the range of the abnormal cause that calculates in the step 13.
According to above-mentioned formula, can calculate the coefficient of deviation of the coefficient of variation of 11 abnormal causes of above-mentioned KA1 to KA11 and the coefficient of deviation of range, as shown in table 1.
Step 15: safeguard that end compares the coefficient of deviation of the coefficient of variation of each abnormal cause and the coefficient of deviation of range respectively with the threshold values of setting, when the coefficient of deviation of the coefficient of deviation of the coefficient of variation of certain abnormal cause and range during, then this abnormal cause is defined as main abnormal cause all greater than the threshold values set.
The threshold values of the threshold values of the coefficient of deviation of the coefficient of variation of setting and the coefficient of deviation of range can be identical, also can be different.It is identical that preferable implementation is that the threshold values of the two is set to, as 0.5; And in actual applications, can adjust the size of threshold values as required.
If we all are set to 0.5 with the threshold values of the coefficient of variation and the threshold values of range, data in the analytical table 1 can know that the coefficient of deviation of the coefficient of variation of KA5 is 0.71, the coefficient of deviation of its range is 1, all greater than reservation threshold 0.5, so can determine cell-level object A is fault object, the abnormal cause of KA5 representative (unusual as Resources allocation) is the main abnormal reason.
If by above-mentioned steps, in the time of can't determining the main abnormal reason, promptly the coefficient of deviation of the coefficient of deviation of the coefficient of variation of neither one abnormal cause and range all greater than predetermined threshold values, at this moment, need be turned down threshold values, up to determining a main abnormal reason.
Because certain Radio Resource object can further be subdivided into lower floor's littler object combination, the Variability Analysis result of the abnormal cause of upper strata object is not necessarily consistent with the analysis result of its lower floor more discrete object.In order to determine fault object and corresponding failure cause more exactly, the abnormal cause that needs to continue each Radio Resource object of lower floor carries out Variability Analysis, determine corresponding main mutagen because of, adopt cross-cut analysis method finally to determine fault object and corresponding failure cause then.
Cross-cut analysis method is exactly that the main abnormal reason of the main abnormal reason of upper strata Radio Resource object and each Radio Resource object of lower floor is got common factor, the part (being the common main abnormal reason of upper strata Radio Resource object and lower floor's Radio Resource object) of will occuring simultaneously is defined as failure cause, and corresponding lower floor Radio Resource object is defined as fault object.
As analyze the relative variability of each abnormal cause of certain sector Radio Resource object A, with the threshold values of the coefficient of deviation of Rcv and Rg and setting relatively after, after finding relative mutation bigger two main abnormal reason KA and KB, also will be to the relative variability between each abnormal cause of carrier frequency Radio Resource object analysis of this sector resources object A lower floor.If the main abnormal reason of certain carrier frequency Radio Resource object M is KA, fault object just further refine to the carrier frequency M of sector A so, and corresponding failure cause further is defined as abnormal cause KA.
Not embody variability may be that threshold values definition is bigger to abnormal cause KB in lower floor's object analysis, also may be due to abnormal cause KB distributes relatively evenly in a plurality of lower floors object, preceding a kind of reason can be by turning down threshold values correction, and a kind of reason in back can be revised by further decompose refinement abnormal cause KB in the Radio Resource recorded information.
According to practical situations, only two layers of Radio Resource object being associated of alternate analysis just can be determined fault object and failure cause exactly automatically.
Therefore, the specific embodiment of the invention also comprises the steps: as shown in Figure 1
Step 16: safeguard end to the mutagen of each Radio Resource object of lower floor because of carrying out Variability Analysis, determine main mutagen because of.
For each abnormal cause statistical value of the cell-level Radio Resource object A shown in the table 1, as shown in table 2 at the corresponding abnormal cause statistical value of certain subobject A1 of its lower floor (being certain sector-level resource object):
Abnormal cause The 1st day The 2nd day The 3rd day Rcv The coefficient of deviation of Rcv Rg The coefficient of deviation of Rg
KA1 8 times 15 times 4 times 0.51 0 11 0.0039
KA4 1 time 0 time 0 time 1.41 1 1 0
KA5 79 times 493 times 2600 times 1.04 0.5889 2521 1
Table 2 adds the statistics of occurrence number when being each abnormal cause unit that certain sector-level Radio Resource object A1 is relevant in certain 3 day time.
According to table 2 as can be known, the relevant abnormalities reason of certain sector-level Radio Resource object A1 of cell-level Radio Resource object A lower floor has three: KA1, KA4 and KA5.
The number of times that KA1 occurs in 3 days is respectively: 8,15,4; The number of times that KA4 occurs is respectively: 1,0,0; The number of times that KA5 occurs is respectively: 79,493,2600.
Respectively with the statistical value of these three abnormal cause occurrence numbers every day in 3 days as three groups of sequence of values, obtain the corresponding coefficient of variation 0.51,1.41,1.04 according to formula 1,2 and 3; Obtain corresponding range 11,1,2521 according to formula 4.
The coefficient of variation as one group of sequence of values, is calculated the coefficient of deviation of the coefficient of variation according to formula 5;
Range as one group of sequence of values, is calculated the coefficient of deviation of range according to formula 5.
The threshold values 0.5 of two groups of coefficient of deviations and setting is compared, and two coefficient of deviations that have only KA5 are all greater than threshold values 0.5, and the main abnormal reason that therefore can judge subobject A1 is the abnormal cause (being that Resources allocation is unusual) of KA5 representative.
The threshold values of the coefficient of deviation of the Rcv of each abnormal cause of two-layer Radio Resource object up and down that is associated and the coefficient of deviation of Rg is identical.
Step 17: safeguard further definite fault object of end and corresponding failure cause.
That is to say upper strata Radio Resource object and the common main abnormal reason of each Radio Resource object of lower floor are defined as failure cause, corresponding lower floor Radio Resource object is defined as fault object.
Such as, the main mutagen of the cell-level Radio Resource object A that step 15 is determined is got because of the main abnormal reason of certain sector-level Radio Resource object A1 of determining with step 16 and is occured simultaneously as concrete failure cause (being the abnormal cause of KA5 representative), and certain sector-level Radio Resource object A1 accordingly is defined as concrete fault object.
If determined corresponding main abnormal reason at upper strata Radio Resource object, and do not determine corresponding main abnormal reason at its lower floor's Radio Resource object, then need to turn down the threshold values of setting, redefine the main abnormal reason, up to determining failure cause;
If behind the adjustment threshold values, still can't determine failure cause, then may be that the mutation reason of upper strata Radio Resource object is evenly distributed on each Radio Resource object of its lower floor and causes, this moment with upper strata Radio Resource object as fault object, as failure cause, this phenomenon is less in the actual conditions certainly with corresponding main abnormal reason.
Therefore, adopt technical scheme of the present invention, can locate Radio Resource object and the failure cause that breaks down automatically by data such as performance, alarm and abnormal call daily record to the association analysis wireless network; Can make the immobilization of fault location flow process, increase work efficiency; And can quantitatively provide the variability of all kinds of abnormal causes, be convenient to comparison and other automations are handled.And perfect along with the recorded informations such as performance, alarm and abnormal call daily record of wireless network, can locate more accurate object and corresponding failure cause automatically.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement 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 claim.

Claims (11)

1, the method for fault location in a kind of wireless network is characterized in that, comprises the steps:
A, after Radio Resource breaks down, the relative variability between each abnormal cause relevant with the Radio Resource object is quantized;
B, maintenance end are determined the main abnormal reason and are carried out the fault location processing according to quantized result and predetermined value.
2, method according to claim 1 is characterized in that, described steps A comprises:
The intensity of variation of each abnormal cause that A1, quantification are relevant with the Radio Resource object;
The excursion of each abnormal cause that A2, quantification are relevant with the Radio Resource object;
A3, quantize relative variability between each abnormal cause relevant with the Radio Resource object according to the intensity of variation of described each abnormal cause and excursion.
3, method according to claim 2 is characterized in that, described steps A 1 specifically comprises:
A11, the number of times that occurs in the unit interval based on time period statistics each abnormal cause relevant with the Radio Resource object;
A12, with the described number of times that occurs in the unit interval based on each abnormal cause of time period statistics as one group of sequence of values, calculate the coefficient of variation Rcv that respectively organizes sequence of values respectively, the formula of described calculating Rcv is: RCV = Stdevp Average
Wherein, mean value Average = Σ i = 0 n - 1 m i n , Standard deviation Stdevp = Σ i = 0 n - 1 ( m i - Average ) 2 n , m iBe the number of times that occurs in the abnormal cause unit interval relevant with the Radio Resource object.
4, method according to claim 3 is characterized in that, described steps A 2 specifically comprises:
The described number of times that occurs in the unit interval based on each abnormal cause of a time period statistics as one group of sequence of values, is calculated the range Rg that respectively organizes sequence of values respectively.
5, method according to claim 4 is characterized in that, described steps A 3 specifically comprises:
A31, the described Rcv that calculates is calculated its coefficient of deviation as one group of sequence of values;
A32, the described Rg that calculates is calculated its coefficient of deviation as one group of sequence of values;
The formula of the coefficient of deviation PR of described calculating Rcv and Rg is: PR = m i - Min ( m i ) Rg
Wherein, Rg=Max (m i)-Min (m i),
When calculating the coefficient of deviation of Rcv, m iOne group of sequence of values for the Rcv correspondence;
When calculating the coefficient of deviation of Rg, m iOne group of sequence of values for the Rg correspondence.
6, method according to claim 5 is characterized in that, described step B specifically comprises:
The threshold values of the coefficient of deviation of B1, the coefficient of deviation of setting Rcv and Rg;
B2, maintenance end compare the coefficient of deviation of the Rcv of described each abnormal cause and the coefficient of deviation of Rg respectively with the threshold values of setting, when certain mutagen because of the coefficient of deviation of Rcv and the coefficient of deviation of Rg during all greater than reservation threshold, then this abnormal cause is defined as the main abnormal reason, with described Radio Resource object as the main abnormal object.
7, method according to claim 6 is characterized in that, the threshold values of the coefficient of deviation of described Rcv and the coefficient of deviation of Rg can be identical.
According to each described method of claim 1 to 7, it is characterized in that 8, when described steps A is: when the relative variability between each abnormal cause relevant with two-layer Radio Resource object was up and down quantized respectively, described step B comprised:
Safeguard that end is defined as failure cause with the described common main abnormal reason of two-layer Radio Resource object up and down, is defined as fault object with corresponding lower floor Radio Resource object.
9, method according to claim 8 is characterized in that, described Radio Resource object comprises: the Radio Resource object of cell-level, sector-level and carrier frequency level by layering from top to bottom.
10, method according to claim 9 is characterized in that: the threshold values of the coefficient of deviation of the described Rcv of each abnormal cause of two-layer Radio Resource object up and down that is associated and the coefficient of deviation of Rg is identical.
11, method according to claim 9 is characterized in that: in the time can't determining described main abnormal reason or failure cause according to the threshold values of setting, adjust the threshold values of described setting.
CNB2005101240840A 2005-11-28 2005-11-28 Fault positioning method in wireless network Expired - Fee Related CN100382509C (en)

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