CN102076009A - Cell monitoring method and device - Google Patents
Cell monitoring method and device Download PDFInfo
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- CN102076009A CN102076009A CN2009102379223A CN200910237922A CN102076009A CN 102076009 A CN102076009 A CN 102076009A CN 2009102379223 A CN2009102379223 A CN 2009102379223A CN 200910237922 A CN200910237922 A CN 200910237922A CN 102076009 A CN102076009 A CN 102076009A
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Abstract
The invention provides a cell monitoring method and a cell monitoring device. The method comprises the following steps of: acquiring a measurement report record (MRR) reported by a mobile station; acquiring the reference value of a parameter in the MRR; and monitoring a cell according to the reference value of the parameter. Through the scheme, a network anomaly can be quickly positioned by MRR data.
Description
Technical field
The present invention relates to the wireless network communication technique field, be meant a kind of cell monitoring method and apparatus especially.
Background technology
The GSM network communicating system is the leading communication technology of second generation wireless communication technology, in present GSM mobile network evolution, the GSM network size is increasing, safeguards and optimizes the input that not only needs manpower at network on a large scale like this, more needs monitoring tools efficiently.
Traffic measurement and on-the-spot test are monitoring and two important means analyzing wireless network performance, but both have its tangible limitation, as:
Traffic measurement can't reflect the covering of wireless network and the concrete distribution situation of speech quality;
And on-the-spot test is relevant with density with the frequency of test to a certain extent to the unusual discovery of network.Measurement report record (MRR) is by collecting from the employed regular handset measurement report of client, information such as signal quality, signal strength signal intensity, Timing Advance (TA), path loss and power controlling grade to the sub-district up-downgoing have been carried out statistic of classification, reality has reflected Serving cell wireless signal measurement quality, when carrying out network monitoring and analyzing, has statistics comprehensively, characteristics such as efficient height can reflect the sense of reality of client to network simultaneously better; Traditional MRR has mainly used two kinds of scenes: a kind of is when cell quality breaks down, with its assist location failure cause; Another kind is when the statistics quality of wireless network, uses the average of part element (as up signal strength signal intensity) wherein to weigh the whole network or local sub-district covering quality; Yet, the method of this phase-split network performance of on-the-spot test, need carry out the method for " hauling type " tests, the effect of pinpointing the problems is decided according to the fineness of test, this just requires the manpower and the testing equipment of the amount of having high input, many times can only test road, very inconvenience is tested in places such as client's residence or Office Area.
In the real network performance evaluation, it is also conceivable that a kind of method is exactly the complaint of accepted user to network, but this mode is more passive in addition.
By above-mentioned analysis, can find, in realizing the network optimization and safeguarding, find that unusual the causing of a lot of networks all is to cause that traditional above-mentioned three kinds of surveillance methods can not effectively be realized monitoring to it substantially because the covering of network or wireless environment have taken place to change.
Deficiency in the said method has been brought a lot of difficulties to network optimization work: at first, can not in time pinpoint the problems, have only the problem of waiting until more serious, just can cause concern, it is unusual to predict network; Secondly, pinpoint the problems in the scene needs to drop into a large amount of time and equipment cost; At last, traditional use MRR has just utilized the aid of MRR as a kind of network optimization, fails to give full play to its function.
Summary of the invention
The technical problem to be solved in the present invention provides the unusual cell monitoring method and apparatus of the quick fixer network of a kind of MRR of utilization data.
For solving the problems of the technologies described above, embodiments of the invention provide a cell monitoring method, comprising:
Obtain the measurement report record MRR that travelling carriage reports;
Obtain the fiducial value of the parameter among the described MRR;
Fiducial value according to described parameter is monitored the sub-district.
Wherein, the step of obtaining the measurement report record MRR that travelling carriage reports is specially:
Obtain in the sampled point sub-district that a default sampling time section is interior and/or a default sample range is interior the measurement report record MRR that travelling carriage reports.
Wherein, the parameter among the described MRR comprises: on/downstream signal intensity, on/downlink signal quality, on/among downlink path loss, mobile station MS/base station BS power grade and the Timing Advance TA at least one.
Wherein, the step of obtaining the fiducial value of the parameter among the described MRR is specially:
Obtain at least one initial parameter average in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described parameter; Perhaps
Obtain the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR accounts for sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter; Perhaps
Obtain the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR accounts for sampled point sub-district sum in the described sample range, with the average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter.
Wherein, the step of obtaining the fiducial value of the parameter among the described MRR is specially:
The absolute value of the difference of the average in described sampling time section with described initial parameter average and described at least one initial parameter average is as the 4th fiducial value of described parameter; Perhaps
The absolute value of the difference of the average in described sampling time section with described initial parameter average and described at least one initial parameter average, again divided by the average of described at least one initial parameter average in described sampling time section, the value that obtains is as the 5th fiducial value of described parameter.
Wherein, the step of obtaining the fiducial value of the parameter among the described MRR is specially:
The sampled point sub-district number of arbitrary parameter among the described MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, as the 6th fiducial value of described parameter; Perhaps
The sampled point sub-district number of arbitrary parameter among the described MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, again divided by the ratio average of described ratio in described sampling time section, the value that obtains is as the 7th fiducial value of described parameter.
Wherein, the obtain manner of the average of described at least one initial parameter average in described sampling time section is:
Adopt formula
Obtain described average;
Wherein, N represents the sampling time section, Ave_X (n) expression initial parameter average,
Be the average of initial parameter average in described sampling time section, n=1,2 ..., N.
Wherein, obtaining the step that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR account for the ratio of sampled point sub-district sum in the described sample range is specially:
Adopt formula
Obtain described ratio;
Wherein, T represents the sum of sampled point sub-district in the default sample range, T
iRepresent i sampled point sub-district, to be parameter value account for the ratio of the sum of sampled point sub-district in the sample range in the sampled point sub-district number of interval value [0, y] to P, i=0, and 1 ..., y.
Wherein, the obtain manner of the average of described ratio in described sampling time section is:
Adopt formula
Obtain the average of described ratio in described sampling time section;
Wherein, N is the sampling time section, P
nRepresent that the sampled point sub-district number of parameter in an interval value in the described sampling time section accounts for the ratio of sampled point sub-district sum in the described sample range,
Be described ratio P
nAverage in the sampling time section, n=1,2 ..., N.
Wherein, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described first reference value if greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold, then produce alarm; Perhaps
Judge described second fiducial value if greater than default ratio upper limit threshold or less than the ratio lower threshold, then produce alarm; Perhaps
Judge described the 3rd fiducial value if greater than default ratio average upper limit threshold or less than ratio average lower threshold, then produce alarm.
Wherein, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described the 4th fiducial value, surpass default mean parameter come-up value or be lower than default mean parameter value of floating downward, then produce alarm; Perhaps
Judge described the 5th fiducial value,, then produce alarm if greater than default mean parameter come-up ratio or be lower than the default mean parameter ratio of floating downward.
Wherein, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described the 6th fiducial value,, then produce and alarm if greater than default ratio come-up value or be lower than default ratio value of floating downward; Perhaps
Judge described the 7th fiducial value,, then produce alarm if greater than default ratio come-up ratio or be lower than the default ratio ratio of floating downward.
Embodiments of the invention also provide a kind of cell monitoring device, comprising:
First acquisition module is used to obtain the measurement report record MRR that travelling carriage reports;
Second acquisition module is used for obtaining the fiducial value of the parameter of described MRR;
Monitoring module is used for according to the fiducial value of described parameter the sub-district being monitored.
Wherein, above-mentioned supervising device also comprises:
Module is set, is used to be provided with sampling time section and/or the sample range that described travelling carriage reports MRR;
Described first acquisition module obtains in the described sampling time section and/or in the sampled point sub-district in the sample range, the measurement report that travelling carriage reports writes down MRR.
Wherein, second acquisition module comprises:
First obtains submodule, is used to obtain at least one initial parameter average in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described parameter;
Second obtains submodule, and the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining described MRR accounts for the ratio of sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter;
The 3rd obtains submodule, the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining described MRR accounts for the ratio of sampled point sub-district sum in the described sample range, with the average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter.
Wherein, described monitoring module comprises:
If first monitoring submodule is used to judge described first reference value then produce alarm greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold;
If second monitoring submodule is used to judge described second fiducial value then produce alarm greater than default ratio upper limit threshold or less than the ratio lower threshold;
If the 3rd monitoring submodule is used to judge described the 3rd fiducial value then produce alarm greater than default ratio average upper limit threshold or less than ratio average lower threshold.
The beneficial effect of technique scheme of the present invention is as follows:
In the such scheme, by utilizing parameter in the MRR report as the monitoring element, calculate the fiducial value of this parameter, and with these fiducial values with default on/lower threshold compares, and the sub-district is monitored according to comparative result, the fixer network sub-district is unusual fast, saves fault handling time.
Description of drawings
Fig. 1 is the flow chart of cell monitoring method of the present invention;
Fig. 2 is the system architecture diagram that obtains the measurement report record MRR that travelling carriage reports in the method shown in Figure 1;
Fig. 3 is parameter value accounts for the sum of sampled point sub-district in the sample range in the sampled point sub-district number of interval value [0, y] a ratio schematic diagram;
Fig. 4 for fiducial value and the last/value of floating downward or on/ratio of floating downward concern schematic diagram;
Fig. 5 is the structure chart of cell monitoring device of the present invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
The present invention is directed to and use MRR to carry out failing to give full play to its function in the network optimization process in the prior art, the unusual problem of fixer network provides a kind of fixer network fast unusual cell monitoring method and apparatus fast.
As shown in Figure 1, embodiments of the invention cell monitoring method comprises:
Wherein, MRR is used to write down all wireless communication measurement reports that the BSC (base station controller) in special time and the scope is received, measurement report comprises uplink and downlink, and concrete parameter has following at least a: 1) uplink signal strength (RXLEVUL): the received signal intensity that base station measurement arrives;
2) downstream signal intensity (RXLEVDL): the received signal intensity that moving table measuring arrives;
3) quality of uplink signal (RXQUALUL): the received signal quality that base station measurement arrives;
4) downlink signal quality (RXQUALDL): the received signal quality that moving table measuring arrives;
5) up path loss: the path loss of reflection from the travelling carriage to the base station;
6) downlink path loss: the path loss of reflection from the base station to the travelling carriage;
7) power grade of mobile station MS (MSPOWER): reflection travelling carriage emitted power;
8) power grade of base station BS transceiver station (BSPOWER): the transmitting power of reflection base station;
9) Timing Advance (TA): the reflection travelling carriage is to the distance of base station.
Accordingly, the monitoring element in the cell monitoring model is: on/downstream signal intensity, on/downlink signal quality, on/downlink path loss, mobile station MS/base station BS power grade or Timing Advance TA.
Wherein, above-mentioned steps 11 can be specially: obtain in the sampled point sub-district that a default sampling time section is interior and/or a default sample range is interior the measurement report record MRR that travelling carriage reports.
Wherein, sub-district of the present invention is meant: the zone that a base station (omnidirectional's shape antenna) or a base station sub-system (fan anteena) cover, by the sub-district in cell global identity (CGI) the recognizing site district, it is the zone of a basic wireless coverage in the network.
Specifically, the specific implementation process of this step 11 as shown in Figure 2,
(1) the sampling time section and the sample range (is the unit with BSC) of user's moving table measuring report (MRR) gathered in customization;
(2) user is in communication process, and travelling carriage can report MRR automatically, arrives operation support system (OSS) by BTS (base transceiver station) and BSC (base station controller);
(3) whether data storage server arrives and finishes by regular inquiry MRR report;
(4) data storage server is waited for next step processing from data and storage that the OSS system obtains MRR.
In the above-mentioned steps 12, can serve as that the cell monitoring model set up of monitoring element is as shown in table 1 below with the parameter among the MRR:
Table 1
Wherein, after obtaining MRR report,, obtain the fiducial value of the parameter among the MRR by calculating, and with the fiducial value of parameter and these default on/lower threshold compares, according to comparative result, realization is to the monitoring of sub-district;
Set up the above-mentioned cell monitoring model based on MRR, analyze the data structure of MRR earlier, MRR data structure feature can reduce: 1) cell name: be meant the cell identification title that has customized MRR; 2) parameter name: be meant/downstream signal intensity, on/downlink signal quality ..., parameter names such as TA; 3) time of sampling time section: MRR collection, can be observed the data acquisition duration; 4) sampling general report number: refer in the official hour in the sampling time section user data number that collects; 5) each sampled point sub-district distribution situation: at the different parameter of above-mentioned MRR, system puts into qualified grade to the sampled point that MRR reports according to the grade that this parameter is provided with in advance;
In the following table 2, with the quality of uplink signal is example, and signal quality is divided into 8 grades, and (RXQUAL0～RXQUAL7) is after user's mobile phone reports MRR, system is being by adding 1 to the analysis of sampled point in corresponding grade, table 2 is part sub-districts 20～21 quality of uplink signal distribution situation examples:
Table 2
6) the initial parameter average that provides of MRR, each mean parameter calculating means such as following table 3
Table 3
On the basis of the former mean parameter of above-mentioned MRR, above-mentioned steps 12 can be specially:
Step 121, according to the parameter value among the described MRR, obtain initial parameter average that described MRR provides (specifically, can obtain original mean parameter among the MRR according to the correlation computations way in the above-mentioned table 3), further obtain the initial parameter average that at least one MRR provides in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described this parameter; Perhaps
Step 122 is obtained the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the MRR accounts for sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter; Perhaps
Step 123 is obtained the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the MRR accounts for sampled point sub-district sum in the described sample range, with the average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter.
Wherein, in the above-mentioned steps 121, the obtain manner of the average of described at least one initial parameter average in described sampling time section is:
Adopt formula one:
Obtain described average;
Wherein, N represents the sampling time section, the initial parameter average that Ave_X (n) expression MRR provides,
Be the average of initial parameter average in described sampling time section, n=1,2, ..., N, preferred, this sampling time section is N days, and the initial parameter average that at least one MRR provides is a N initial parameter average, and wherein this formula one all is to carry out computing at the same parameter in the sampling time section;
In the above-mentioned steps 122, obtain the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the MRR account for sampled point sub-district sum in the described sample range and be specially:
Adopt formula two:
Obtain described ratio;
Wherein, T represents the sum of sampled point sub-district in the default sample range, and Ti represents i sampled point sub-district, and to be parameter value account for the ratio of the sum of the interior sampled point sub-district of sample range in the sampled point sub-district number of interval value [0, y] to P, i=0, and 1 ..., y; This algorithm is to design at the situation of change of parameter sampling point sub-district distribution among the MRR, can calculate the sampled point sub-district distribution situation of certain MRR parameter between certain two value, the sampled point sub-district that belongs between RXQUALUL3 and the RXQUALUL5 as up signal quality accounts for total sampled point sub-district ratio, other parameters are similar, for clearer this notion of elaboration, be example hereinafter with certain sub-district, calculate the ratio that accounts for total sampled point in a period of time less than the sampled point of parameter value grade, as up signal quality less than RXQUALUL5 (being RXQULUL0～4), other parameter classes;
As shown in Figure 3, dash area represents to be less than or equal to the ratio p of the shared whole sampled points of certain parameter value y sub-district, simultaneously, supposes that this parameter is to be worth the natural number of 0 beginning;
With the parameter TA among the MRR is example, gets real cell ZHEGBG3 time point TA between 8:00～9:00 and is example greater than 5 sampled point proportions (supposing to equal Z), and wherein the general report number is 143056, and calculating means is as follows:
Further, according to formula two, can obtain the average of (being assumed to be N days) p in a couple of days
Pairing specific algorithm is:
Adopt formula three:
Obtain described ratio average;
Wherein, N is the sampling time section, P
nRepresent that the sampled point sub-district number of arbitrary parameter in an interval value in the described sampling time section accounts for the ratio of sampled point sub-district sum in the described sample range,
Be described ratio P
nRatio average in the sampling time section, n=1,2 ..., N, preferred, this sampling time section is N days.
Further, on the basis of above-mentioned steps 121, the step of obtaining the fiducial value of described parameter can also be specially:
The absolute value of the initial parameter average that described MRR is provided and the difference of the average of described at least one initial parameter average in described sampling time section is as the 4th fiducial value of described parameter;
Promptly, calculate the average of downstream signal intensity in N days according to above-mentioned formula one
Provide in the current MRR report downstream signal strength mean value Ave_SS (as the average of calculating in the above-mentioned table 3) with
Compare, promptly Ave_SS with
Directly carry out subtraction, if the come-up value or the value of floating downward that the absolute value of computing excesses budget will produce alarm; Perhaps
The absolute value of the initial parameter average that described MRR is provided and the difference of the average of described at least one initial parameter average in described sampling time section, again divided by the average of described at least one initial parameter average in described sampling time section, the value that obtains is as the 5th fiducial value of described parameter;
Be Ave_SS with
Directly carry out subtraction, then the gained result taken absolute value, again divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm;
Further, on the basis of above-mentioned steps 123, the step of obtaining the fiducial value of described parameter can also be specially:
The sampled point sub-district number of arbitrary parameter among the MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, as the 6th fiducial value of described parameter;
Promptly can judge the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, resulting result takes absolute value, if surpass default ratio come-up value or the ratio value of floating downward, then produces alarm; Perhaps
The sampled point sub-district number of arbitrary parameter among the MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, again divided by the ratio average of described ratio in described sampling time section, the value that obtains is as the 7th fiducial value of described parameter;
Be the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, the result of gained is taken absolute value, and then divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm.
Specifically, above-mentioned steps 13 is specifically as follows several situations:
1) judges described first reference value if greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold, then produce alarm;
Promptly calculate according to above-mentioned formula one
Compare with mean parameter upper limit threshold default in the above-mentioned table 1,, all can produce alarm, so just realized the sub-district being monitored according to the data of MRR if greater than upper limit threshold or less than lower threshold;
2) judge described second fiducial value if greater than default ratio upper limit threshold or less than the ratio lower threshold, then produce alarm;
Promptly default ratio upper limit threshold or ratio lower threshold compares in P that calculates according to above-mentioned formula two and the above-mentioned table 1, if greater than upper limit threshold or less than lower threshold, all can produce alarm; Realized so too the sub-district being monitored according to the MRR data;
3) judge described the 3rd fiducial value if greater than default ratio average upper limit threshold or less than ratio average lower threshold, then produce alarm;
Promptly calculate according to above-mentioned formula three
Compare with default ratio average upper limit threshold, if greater than upper limit threshold or less than lower threshold, all can produce alarm, wherein, this ratio average upper limit threshold is not explanation in table 1, but can add as required.
Further, above-mentioned steps 13 can also be specially:
4) judge described the 4th fiducial value, surpass default mean parameter come-up value or be lower than default mean parameter value of floating downward, then produce alarm;
Promptly provide in the current MRR report downstream signal strength mean value Ave_SS (as the average of calculating in the above-mentioned table 3) with
Compare, promptly Ave_SS with
Directly carry out subtraction, if the come-up value or the value of floating downward that the absolute value of computing excesses budget will produce alarm;
5) judge described the 5th fiducial value,, then produce alarm if greater than default mean parameter come-up ratio or be lower than the default mean parameter ratio of floating downward; Wherein, this mean parameter come-up ratio and the ratio of floating downward are not described in table 1, but can add as required;
Be Ave_SS with
Directly carry out subtraction, then the gained result taken absolute value, again divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm;
6) judge described the 6th fiducial value,, then produce and alarm if greater than default ratio come-up value or be lower than default ratio value of floating downward;
Promptly can judge the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, resulting result takes absolute value, if surpass default ratio come-up value or the ratio value of floating downward, then produces alarm;
7) judge described the 7th fiducial value,, then produce alarm if greater than default ratio come-up ratio or be lower than the default ratio ratio of floating downward; Wherein, this ratio come-up ratio and the ratio ratio of floating downward is not described in above-mentioned table 1, but can add as required;
Be the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, the result of gained is taken absolute value, and then divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm.
Wherein, the relation of said reference value and the come-up value or the value of floating downward as shown in Figure 4, fiducial value is similar to this figure to the relation of the come-up ratio or the ratio of floating downward, and only needs the come-up value is replaced with the come-up ratio, will the value of floating downward replaces with the ratio of floating downward and gets final product.
Since the operation conditions of network cell equipment, residing wireless environment, attendant to the difference of the requirement of each sub-district, just need personalization in the cell monitoring model/lower threshold is provided with, to reach monitoring purposes.In the above embodiment of the present invention, on the described cell monitoring model of table 1/mode of lower threshold personal settings can have: manually be provided with and self adaptation is provided with two kinds.
1. manually be provided with
Manually setting is according to the needs of monitoring, directly at the data in the cell pattern threshold value is set, and all sub-district thresholdings must be provided with one by one, are fit to following sight:
1) user understands sub-district wireless environment and equipment running status very much;
2) artificial sub-district wireless environment and equipment running status are changed in the recent period;
3) function to the sub-district has proposed new requirement, as requires to improve user's downlink signal quality;
4) data can occur unusually for a certain reason in the known cell monitoring model, as: the newly-increased jamming equipment that public security system is arranged in the cell coverage area.
2. self adaptation setting
The theoretical premise of this method is, when the wireless environment of sub-district with performance own is no abnormal and during change, data interior (supposing to be appointed as N days) the same period of a couple of days in the cell monitoring model should be that the people is taken place for abnormal conditions are arranged if exceed this fluctuation range in certain fluctuation range.This way need only be provided with domain of walker and get final product.
The specific implementation process of the above embodiment of the present invention is described in conjunction with concrete application scenarios below again:
Step 1: the user at first needs to be provided with the fate N that averages, and gets the supplemental characteristic of N continuous sky MRR then from database;
Step 2:, ask for average according to the principle of formula one or formula three
Or
Step 3: judge whether average conforms with demand, i.e. whether sub-district operation present situation is in user's range of receiving, as not being need optimization; In this way, then this moment
Or
As average.
Step 4: fiducial value has been arranged
Or
In conjunction with the come-up and the ratio of floating downward that the user provides, can calculate the upper and lower bound of each parameter, thereby carry out sufficient preparation for next step monitoring.Simultaneously, in the user is provided with scope, right automatically for the parameter current value as historical data
Or
Upgrade.
After having set up above-mentioned cell monitoring model, use the described embodiment of said method, can monitor the sub-district in the network, when the sub-district change or when unusual, be provided with under the rational situation in threshold value, warning information is promptly arranged,, know whether the sub-district needs to be serviced and optimize by analysis to these information.Alarm presents with processing mode as follows
Step 1: from the MRR stored data base, obtain the parameter of current needs, calculate the fiducial value of parameter;
Step 2: whether exist unusually monitoring in fiducial value that calculates and the model/the lower threshold contrast, checking;
Step 3: if do not have, Query Database again after 1 hour obtains new supplemental characteristic; If exist unusually, carry out abnormality alarming and show;
Step 4: alarm shows in two ways and shows that a kind of is by default order (as beginning to show from the poorest up quality earlier) in the form mode; Another kind is that the form with ground physics and chemistry represents, promptly on little chorography directly with highlighted display abnormality sub-district;
Whether step 6: the user notes abnormalities behind the sub-district,, determine abnormal cause and need the sub-district is optimized to positioning unusually in conjunction with the data in the MRR report, traffic measurement data, on-the-spot test situation;
Step 7: handle the sub-district unusual after, whether consider needs again the threshold value in the cell monitoring model to be provided with.
In sum, said method of the present invention is compared by cell monitoring modes that notes abnormalities such as traffic measurement, on-the-spot test and customer complaints with tradition, and technical scheme of the present invention has following advantage:
(1) the fixer network sub-district is unusual fast, save fault handling time: because the very detailed network information that the MRR data itself have, so in case network cell occurs unusually, the analysis that provides by said method of the present invention to MRR, can locate abnormal cause fast, thereby save the time of handling failure;
(2) find network problem in advance: the cell monitoring model that foundation method of the present invention provides, can monitor sub-district wireless environment and changes of properties, even this variation does not also directly influence client perception, determine by analyzing this variation whether network has begun to worsen and carry out necessary maintenance and optimization;
(3) save cost, reduction testing expense: because the MRR data directly from user's testing mobile phone, so need not the network maintenance staff go to the scene can find that network is unusual, have reduced the on-the-spot test of " hauling type " in the past;
(4) statistics is more comprehensive: had no idea to count on downlink network quality from the base station to the mobile phone by the traffic measurement mode in the past, because there is not the distribution situation of TA, so also can't add up the scope of User Activity distributes, this patent not only counts on up network quality, and can also analyze descending network quality.
As shown in Figure 5, embodiments of the invention also provide a kind of cell monitoring device 50, comprising:
First acquisition module is used to obtain the measurement report record MRR that travelling carriage reports;
Second acquisition module is used for obtaining the fiducial value of the parameter of described MRR;
Monitoring module is used for according to the fiducial value of described parameter the sub-district being monitored.
Preferential, this device also comprises:
Module is set, is used to be provided with sampling time section and/or the sample range that described travelling carriage reports MRR;
Described first acquisition module obtains in the described sampling time section and/or in the sampled point sub-district in the sample range, the measurement report that travelling carriage reports writes down MRR.
Wherein, described second acquisition module comprises:
First obtains submodule, is used to obtain at least one initial parameter average that MRR provides in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described parameter;
Specifically, can adopt formula one:
Obtain described average;
Wherein, N represents the sampling time section, Ave_X (n) expression initial parameter average,
Be the average of initial parameter average in described sampling time section, n=1,2 ..., N, preferred, this sampling time section is N days;
Second obtains submodule, is used for obtaining the ratio that the sampled point sub-district number of the arbitrary parameter of MRR in an interval value accounts for sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter;
Specifically, can adopt formula two:
Obtain described ratio;
Wherein, T represents the sum of sampled point sub-district in the default sample range, T
iRepresent i sampled point sub-district, to be parameter value account for the ratio of the sum of sampled point sub-district in the sample range in the sampled point sub-district number of interval value [0, y] to P, i=0, and 1 ..., y;
The 3rd obtains submodule, be used for obtaining the ratio that the sampled point sub-district number of the arbitrary parameter of MRR in an interval value accounts for sampled point sub-district sum in the described sample range, with the ratio average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter;
Specifically, can adopt formula three:
Obtain described ratio average;
Wherein, N is the sampling time section, P
nRepresent that the sampled point sub-district number of arbitrary parameter in an interval value in the described sampling time section accounts for the ratio of sampled point sub-district sum in the described sample range,
Be the ratio average of described ratio Pn in the sampling time section, n=1,2 ..., N, preferred, this sampling time section is N days.
Further, described second acquisition module also comprises:
The 4th obtains submodule, is used for obtaining the difference that described MRR provides the average of initial parameter average in described sampling time section that initial parameter average and described at least one MRR provide, with four fiducial value of described difference as described parameter;
Specifically, promptly according to above-mentioned formula one, calculate the average of downstream signal intensity in N days
Provide in the current MRR report downstream signal strength mean value Ave_SS (as the average of calculating in the above-mentioned table 3) with
Compare, promptly Ave_SS with
Directly carry out subtraction, if the come-up value or the value of floating downward that the absolute value of computing excesses budget will produce alarm;
The 5th obtains submodule, the absolute value that is used for the difference of initial parameter average that described MRR is provided and the average of described at least one initial parameter average in described sampling time section, again divided by the average of described at least one initial parameter average in described sampling time section, the value that obtains is with five fiducial value of the described value that obtains as described parameter;
Specifically, promptly Ave_SS with
Directly carry out subtraction, then the gained result taken absolute value, again divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm;
The 6th obtains submodule, the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining MRR accounts for the ratio of sampled point sub-district sum in the described sample range and the difference of the ratio average of described ratio in described sampling time section, and with six fiducial value of described difference as described parameter;
Specifically, can judge the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, resulting result takes absolute value, if surpass default ratio come-up value or the ratio value of floating downward, then produces alarm;
The 7th obtains submodule, the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining MRR accounts for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, again divided by the ratio average of described ratio in described sampling time section, the value that obtains, and with seven fiducial value of the described value that obtains as described parameter;
Specifically, the sampled point sub-district number of parameter value in a certain interval value in the current MRR report account for the total ratio Pn in sampled point sub-district in the sample range with
Subtract each other, the result of gained is taken absolute value, and then divided by
The ratio of being obtained with default on/ratio of floating downward compares, if exceed, then produces alarm.
Corresponding, described monitoring module specifically comprises:
If first monitoring submodule is obtained submodule and is connected with above-mentioned first, is used to judge described first reference value then produce alarm greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold;
If second monitoring submodule is obtained submodule and is connected with above-mentioned second, is used to judge described second fiducial value then produce alarm greater than default ratio upper limit threshold or less than the ratio lower threshold;
If the 3rd monitoring submodule is obtained submodule and is connected with the above-mentioned the 3rd, is used to judge described the 3rd fiducial value then produce alarm greater than default ratio average upper limit threshold or less than ratio average lower threshold;
The 4th monitoring submodule is obtained submodule and is connected with the above-mentioned the 4th, is used to judge described the 4th fiducial value, surpasses default mean parameter come-up value or is lower than default mean parameter value of floating downward, and then produces and alarms;
The 5th monitoring submodule is obtained submodule and is connected with the above-mentioned the 5th, is used to judge described the 5th fiducial value, if greater than default mean parameter come-up ratio or be lower than the default mean parameter ratio of floating downward, then produces alarm;
The 6th monitoring submodule is obtained submodule and is connected with the above-mentioned the 6th, is used to judge the 6th fiducial value, if greater than default ratio come-up value or be lower than default ratio value of floating downward, then produces and alarms;
The 7th monitoring submodule is obtained submodule and is connected with the above-mentioned the 7th, is used to judge described the 7th fiducial value, if greater than default ratio come-up ratio or be lower than the default ratio ratio of floating downward, then produces alarm.
Need to prove: all features of said method embodiment of the present invention all are applicable among this device embodiment, also can reach the technique effect same with said method, do not repeat them here.
This device of the present invention utilizes the parameter of MRR itself as the monitoring element equally, set up cell monitoring model (as above-mentioned table 1), and calculate the fiducial value of this parameter, and with on default in these fiducial values and the cell pattern/lower threshold compares, and carry out cell monitoring according to comparative result, the fixer network sub-district is unusual fast, saves fault handling time; Simultaneously also network problem be can find in advance, and network optimization cost, reduction testing expense etc. saved.
The above is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (16)
1. a cell monitoring method is characterized in that, comprising:
Obtain the measurement report record MRR that travelling carriage reports;
Obtain the fiducial value of the parameter among the described MRR;
Fiducial value according to described parameter is monitored the sub-district.
2. cell monitoring method according to claim 1 is characterized in that, the step of obtaining the measurement report record MRR that travelling carriage reports is specially:
Obtain in the sampled point sub-district that a default sampling time section is interior and/or a default sample range is interior the measurement report record MRR that travelling carriage reports.
3. cell monitoring method according to claim 1, it is characterized in that the parameter among the described MRR comprises: on/downstream signal intensity, on/downlink signal quality, on/among downlink path loss, mobile station MS/base station BS power grade and the Timing Advance TA at least one.
4. according to claim 2 or 3 described cell monitoring methods, it is characterized in that the step of obtaining the fiducial value of the parameter among the described MRR is specially:
Obtain at least one initial parameter average in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described parameter; Perhaps
Obtain the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR accounts for sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter; Perhaps
Obtain the ratio that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR accounts for sampled point sub-district sum in the described sample range, with the average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter.
5. cell monitoring method according to claim 4 is characterized in that, the step of obtaining the fiducial value of the parameter among the described MRR is specially:
The absolute value of the difference of the average in described sampling time section with described initial parameter average and described at least one initial parameter average is as the 4th fiducial value of described parameter; Perhaps
The absolute value of the difference of the average in described sampling time section with described initial parameter average and described at least one initial parameter average, again divided by the average of described at least one initial parameter average in described sampling time section, the value that obtains is as the 5th fiducial value of described parameter.
6. cell monitoring method according to claim 4 is characterized in that, the step of obtaining the fiducial value of the parameter among the described MRR is specially:
The sampled point sub-district number of arbitrary parameter among the described MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, as the 6th fiducial value of described parameter; Perhaps
The sampled point sub-district number of arbitrary parameter among the described MRR in an interval value accounted for the absolute value of the difference of the ratio of sampled point sub-district sum in the described sample range and the ratio average of described ratio in described sampling time section, again divided by the ratio average of described ratio in described sampling time section, the value that obtains is as the 7th fiducial value of described parameter.
7. cell monitoring method according to claim 4 is characterized in that, the obtain manner of the average of described at least one initial parameter average in described sampling time section is:
Adopt formula
Obtain described average;
Wherein, N represents the sampling time section, Ave_X (n) expression initial parameter average,
Be the average of initial parameter average in described sampling time section, n=1,2 ..., N.
8. cell monitoring method according to claim 4 is characterized in that, obtains the step that the sampled point sub-district number of arbitrary parameter in an interval value among the described MRR account for the ratio of sampled point sub-district sum in the described sample range and is specially:
Adopt formula
Obtain described ratio;
Wherein, T represents the sum of sampled point sub-district in the default sample range, T
iRepresent i sampled point sub-district, to be parameter value account for the ratio of the sum of sampled point sub-district in the sample range in the sampled point sub-district number of interval value [0, y] to P, i=0, and 1 ..., y.
9. cell monitoring method according to claim 8 is characterized in that, the obtain manner of the average of described ratio in described sampling time section is:
Adopt formula
Obtain the average of described ratio in described sampling time section;
Wherein, N is the sampling time section, P
nRepresent that the sampled point sub-district number of parameter in an interval value in the described sampling time section accounts for the ratio of sampled point sub-district sum in the described sample range,
Be described ratio P
nAverage in the sampling time section, n=1,2 ..., N.
10. cell monitoring method according to claim 4 is characterized in that, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described first reference value if greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold, then produce alarm; Perhaps
Judge described second fiducial value if greater than default ratio upper limit threshold or less than the ratio lower threshold, then produce alarm; Perhaps
Judge described the 3rd fiducial value if greater than default ratio average upper limit threshold or less than ratio average lower threshold, then produce alarm.
11. cell monitoring method according to claim 5 is characterized in that, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described the 4th fiducial value, surpass default mean parameter come-up value or be lower than default mean parameter value of floating downward, then produce alarm; Perhaps
Judge described the 5th fiducial value,, then produce alarm if greater than default mean parameter come-up ratio or be lower than the default mean parameter ratio of floating downward.
12. cell monitoring method according to claim 6 is characterized in that, the step of the sub-district being monitored according to the fiducial value of described parameter is specially:
Judge described the 6th fiducial value,, then produce and alarm if greater than default ratio come-up value or be lower than default ratio value of floating downward; Perhaps
Judge described the 7th fiducial value,, then produce alarm if greater than default ratio come-up ratio or be lower than the default ratio ratio of floating downward.
13. a cell monitoring device is characterized in that, comprising:
First acquisition module is used to obtain the measurement report record MRR that travelling carriage reports;
Second acquisition module is used for obtaining the fiducial value of the parameter of described MRR;
Monitoring module is used for according to the fiducial value of described parameter the sub-district being monitored.
14. cell monitoring device according to claim 13 is characterized in that, also comprises:
Module is set, is used to be provided with sampling time section and/or the sample range that described travelling carriage reports MRR;
Described first acquisition module obtains in the described sampling time section and/or in the sampled point sub-district in the sample range, the measurement report that travelling carriage reports writes down MRR.
15. cell monitoring device according to claim 14 is characterized in that, second acquisition module comprises:
First obtains submodule, is used to obtain at least one initial parameter average in the described sampling time section, with the average of described at least one initial parameter average in described sampling time section, as the first reference value of described parameter;
Second obtains submodule, and the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining described MRR accounts for the ratio of sampled point sub-district sum in the described sample range, with second fiducial value of described ratio as described parameter;
The 3rd obtains submodule, the sampled point sub-district number of arbitrary parameter in an interval value that is used for obtaining described MRR accounts for the ratio of sampled point sub-district sum in the described sample range, with the average of described ratio in described sampling time section, as the 3rd fiducial value of described parameter.
16. cell monitoring device according to claim 15 is characterized in that, described monitoring module comprises:
If first monitoring submodule is used to judge described first reference value then produce alarm greater than default mean parameter upper limit threshold or less than the mean parameter lower threshold;
If second monitoring submodule is used to judge described second fiducial value then produce alarm greater than default ratio upper limit threshold or less than the ratio lower threshold;
If the 3rd monitoring submodule is used to judge described the 3rd fiducial value then produce alarm greater than default ratio average upper limit threshold or less than ratio average lower threshold.
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