CN100479578C - Method and system for optimizing network - Google Patents

Method and system for optimizing network Download PDF

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CN100479578C
CN100479578C CNB2006101039150A CN200610103915A CN100479578C CN 100479578 C CN100479578 C CN 100479578C CN B2006101039150 A CNB2006101039150 A CN B2006101039150A CN 200610103915 A CN200610103915 A CN 200610103915A CN 100479578 C CN100479578 C CN 100479578C
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network
wireless access
failure
credit rating
measurement
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CN1889749A (en
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范爱平
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

A method for optimizing network includes measuring ability credit parameter in assigned region within statistic period, judging network state according to measured result and optimizing network accordingly. The system for realizing said method is also disclosed.

Description

A kind of method and system of optimizing network
Technical field
The present invention relates to Radio Network System, particularly relate to a kind of method and system of optimizing network.
Background technology
Along with the third generation mobile technology rapid development, WCDMA (Wideband Code Division Multiple Access (WCDMA)) technology reaches its maturity, and increasing Virtual network operator adopts WCDMA to set up 3-G (Generation Three mobile communication system).The ability credit rating is the important indicator of WCDMA, and with network system efficient, network capacity is closely related.
In the prior art, some protocol description various performance monitorings of network side and adjust professional method and principles.Its basic process is at first miscellaneous service to be measured, according to measurement result described business is adjusted then, the object of measurement has RRC (Radio Resource control) process, RAB (RAB) process, signaling to connect between foundation, soft switching process, direct-cut operation, transition process, system handoff procedure etc.Operator is optimized processing according to the measurement result of above-mentioned measuring object to network.
But the ability credit rating does not also have relevant method of measurement at present as important performance index, and then the method for yet not carrying out the network optimization according to the ability credit rating.
Summary of the invention
The invention provides a kind of method and system of optimizing network, in order to solving the method that does not have the measurement capability credit rating at present, and then can't carry out the problem of the network optimization according to the ability credit rating.
The inventive method comprises:
A, default measurement period, default tested zone;
B, in default described measurement period, measure the ability credit rating parameter in the default described tested zone;
The ability credit rating parameter that C, output measure;
D, judge network condition according to the described ability credit rating parameter that measures;
E, according to the corresponding optimization network of judged result.
Wherein, among the described step B, adopt the dynamic variable method of measurement that credit degree resource occupancy mean value is measured.
Further,, judge that then network load is heavy in tested the zone in, and corresponding increase adjacent area shares load if credit degree resource occupancy mean value surpasses first threshold value, or to the corresponding service channel dilatation in tested zone, with the optimization network.
Further, among the described step B, adopt the dynamic variable method of measurement that the maximum and the minimum value of credit degree resource occupancy are measured respectively.Adopt the linear data analytical method to obtain network operation load peak, as the corresponding service channel dilatation of the dilatation upper limit to tested zone, or corresponding increase adjacent area shares load with described network operation load peak, to optimize network.
Wherein, among the described step B, adopt the accumulative total method of measurement that the wireless access success and the frequency of failure that cause owing to the credit degree resource operating position are measured respectively.
Further, number of times according to described wireless access success and failure, analyze the credit rating consumption situation, if because the wireless access frequency of failure that the credit degree resource operating position causes is more, the credit rating consumption height, carry out corresponding increase adjacent area and share load, or to the corresponding service channel dilatation in tested zone, to optimize network.
Further, among the described step B, adopt the accumulative total method of measurement respectively the wireless access frequency of failure that difference access reason causes to be measured.The wireless access failure that described different access reason causes comprises: the Zone switched wireless access failure that causes, and the wireless access that newly-built channel causes is failed.
Further again, if the Zone switched wireless access frequency of failure that causes surpasses second threshold value, then judge the credit rating consumption height of adjacent area, and tackle the adjacent area dilatation mutually, to optimize network.
Further again, if the Zone switched wireless access frequency of failure that causes surpasses second threshold value, judge that then switching times is many, and the coverage in the tested zone of corresponding increase, to optimize network.
Further again, if the wireless access frequency of failure that causes of newly-built channel surpasses the 3rd threshold value, then judge the credit rating consumption height in tested zone, and corresponding increase is with covering the adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
Wherein, among the described step B, measure the ability credit rating parameter of different channels Linktype and type of service.Described channel link type comprises: the overall link of up link, down link and up-downgoing.Described type of service comprises: session service type, stream type of service, interactive service type and background service type.
In sum, described appointed area comprises: the scope that sub-district and/or radio network controller cover.
System of the present invention comprises:
Measurement period is provided with the unit, is used for default measurement period;
The appointed area is provided with the unit, is used for default tested zone;
Measuring unit is used in described measurement period is provided with the default described measurement period limit in unit, measures described appointed area measurement capability credit rating parameter in the default described tested zone, unit is set, and export the ability credit rating parameter that measures;
Judging unit is used for the ability credit rating parameter that measures according to described measuring unit output, judges network condition;
Network optimization unit is used for the judged result according to the output of described judging unit, correspondingly carries out the network optimization.
Beneficial effect of the present invention is as follows:
The inventive method is in measurement period, by dynamic variable method of measurement or accumulative total method of measurement, measure the ability credit rating parameter in the appointed area, described ability credit rating parameter comprises: the maximum of credit degree resource occupancy mean value, credit degree resource occupancy and minimum value, because credit degree resource operating position the wireless access success and the frequency of failure that cause, and differently insert the wireless access frequency of failure that reason causes; Afterwards, judge network condition according to measurement result again; At last, take appropriate measures again, to optimize network.
In order to support the inventive method, the present invention also provides a kind of system that optimizes network.
By enforcement of the present invention, can be on the basis of systems such as original R99, R4, under to the situation of original system without any influence, with directly perceived and unified performance measurement, embody ability credit degree resource operating position in the network, help it that network planning and business game are carried out necessary adjustment,, make the demand that the network planning and business game are more realistic to improve the utilance of credit degree resource.
Description of drawings
Fig. 1 is a system configuration schematic diagram of the present invention;
Fig. 2 is the inventive method flow chart of steps.
Embodiment
For measurement capability credit rating parameter, and then carry out the network optimization according to the ability credit rating, the invention provides a kind of system that optimizes network, referring to shown in Figure 1, it comprises: the measuring unit of Xiang Lianing, judging unit and network optimization unit successively, and the unit is set the measurement period that links to each other with described measuring unit and the appointed area is provided with the unit.
Described measurement period is provided with the unit, is used for default measurement period.
Described appointed area is provided with the unit, is used for default tested zone.Described tested zone can be the scope of sub-district and/or radio network controller covering.
Described measuring unit is used in measurement period is provided with the default measurement period in unit, and the measurement appointed area is provided with the ability credit rating parameter in the default tested zone, unit.The ability credit rating parameter of described measurement comprises: the maximum of credit degree resource occupancy mean value, credit degree resource occupancy and minimum value, because credit degree resource operating position the wireless access success and the frequency of failure that cause, and differently insert the wireless access frequency of failure that reason causes.
Described judging unit is used for the measurement result according to described measuring unit output, judges network condition.Be preset with judgment rule in the described judging unit, comprise:
Rule one, credit degree resource occupancy mean value surpass first threshold value, judge that then network load is heavy in the tested zone;
Rule two, employing linear data analytical method obtain network operation load peak, judge network condition with this load peak;
Rule three, according to the number of times of wireless access success and failure, analyze the credit rating consumption situation;
Rule four, the Zone switched wireless access frequency of failure that causes surpass second threshold value, then judge the credit rating consumption height of adjacent area;
Rule five, the Zone switched wireless access frequency of failure that causes surpass second threshold value, judge that then switching times is many;
The wireless access frequency of failure that rule six, newly-built channel cause surpasses the 3rd threshold value, then judges the credit rating consumption height in tested zone.
Described network optimization unit is used for the judged result according to judging unit output, correspondingly carries out the network optimization.Satisfy rule one, rule two and rule three if described judged result shows, load is shared in then corresponding increase adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.Satisfy rule four if described judged result shows, then tackle the adjacent area dilatation mutually, to optimize network.Satisfy rule five if described judged result shows, the coverage in the tested zone of then corresponding increase is to optimize network.Satisfy rule six if described judged result shows, then corresponding increase is with covering the adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
Use said system the present invention a kind of method of optimizing network be provided again,, comprise following key step referring to shown in Figure 2:
S1, in measurement period, measure the ability credit rating parameter in the appointed area.
Before measuring, at first default measurement period and tested zone.Described measurement period is rule of thumb decided, can complete embodiment ability credit rating being as the criterion.Described tested zone is the scope that sub-district and/or radio network controller cover.
Secondly, select channel link type and type of service to be measured.Described channel link type comprises: the overall link of up link, down link and up-downgoing.Described type of service comprises: session service type, stream type of service, interactive service type and background service type.
Afterwards, according to the above-mentioned parameter of presetting and selecting, measurement capability credit rating parameter.
S2, judge network condition according to measurement result.
Measurement result with step S1 contrasts with the judgment rule of presetting, and judges network condition, finds out network problem.
S3, optimization network.
Judged result according to step S2 takes appropriate measures, to optimize network.
Below specifically describe the inventive method by six examples.
Method example one: measure credit degree resource occupancy mean value, to optimize network.
L11, measurement credit degree resource occupancy mean value.
Adopt the dynamic variable method of measurement that up-downgoing consumption/remaining credit rating is measured, calculate credit degree resource occupancy mean value.
L12, judge network condition according to measurement result.
By measuring, can obtain the general status of credit rating consumption in the network.According to default rule,, judge that then network load weighs in tested the zone in if credit degree resource occupancy mean value surpasses first threshold value when big (because the access failure proportion that credit rating distributes failure to cause)
L13, optimization network.
Share load by increasing the adjacent area, or, reduce the network load in tested zone, guarantee network communication quality the methods such as corresponding service channel dilatation in tested zone.
Method example two: after measuring credit degree resource occupancy mean value, further measure the maximum and the minimum value of credit degree resource occupancy, to optimize network.
L21, measurement credit degree resource occupancy mean value.
This step is identical with L11.
The maximum and the minimum value of L22, measurement credit degree resource occupancy.
Adopt the dynamic variable method of measurement that the maximum and the minimum value of up-downgoing credit degree resource occupancy are measured respectively.
L23, judge network condition according to measurement result.
After obtaining the maximum and minimum value of credit degree resource occupancy, credit degree resource occupancy mean value and network physical capacity that integrating step L21 obtains, adopt analytical methods such as linear data processing, obtain network operation load peak, provide foundation as the network capacity extension upper limit.
L24, optimization network.
Load is shared in corresponding increase adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
Method example three: measure the wireless access success and the frequency of failure that the credit degree resource operating position causes, to optimize network.
The wireless access success and the frequency of failure that L31, measurement credit degree resource operating position cause.
Adopt the accumulative total method of measurement that the wireless access success and the frequency of failure that cause owing to the credit degree resource operating position are measured respectively.
L32, judge network condition according to measurement result.
According to the number of times of described wireless access success and failure, analyze the credit rating consumption situation.Even, show that then credit rating consumption is lower because the wireless access number of success that the credit degree resource operating position causes is more; If, show that then credit rating consumption is higher because the wireless access frequency of failure that the credit degree resource operating position causes is more.
L33, optimization network.
If credit rating consumption is higher, load is shared in then corresponding increase adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
Said method example three also can be refined as and adopt the accumulative total method of measurement respectively the wireless access frequency of failure that difference access reason causes to be measured.The wireless access failure that described different access reason causes comprises: the Zone switched wireless access failure that causes, and the wireless access that newly-built channel causes is failed.
Method example four, the Zone switched wireless access frequency of failure that causes of measurement are to optimize network.
L41, the Zone switched wireless access frequency of failure that causes of measurement.
Adopt the accumulative total method of measurement to measure the Zone switched wireless access frequency of failure that causes.
L42, judge network condition according to measurement result.
According to default rule, if the Zone switched wireless access frequency of failure that causes surpasses second threshold value, judge that then the credit rating consumption of adjacent area is too high, need to optimize the adjacent area.
L43, optimization network.
Tackle the adjacent area dilatation mutually, to optimize network.
Method example five, the Zone switched wireless access frequency of failure that causes of measurement are to optimize network.
L51, the Zone switched wireless access frequency of failure that causes of measurement.
Adopt the accumulative total method of measurement to measure the Zone switched wireless access frequency of failure that causes.
L52, judge network condition according to measurement result.
According to default rule,, judge that then switching times is too much if the Zone switched wireless access frequency of failure that causes surpasses second threshold value.
L53, optimization network.
The mode of the coverage by the tested zone of corresponding increase reduces the number of times that switches, to optimize network.
The wireless access frequency of failure that method example six, the newly-built channel of measurement cause is to optimize network.
The wireless access frequency of failure that L61, the newly-built channel of measurement cause.
Adopt the accumulative total method of measurement to measure the wireless access frequency of failure that newly-built channel causes.
L62, judge network condition according to measurement result.
According to default rule,, then judge the credit rating consumption height in tested zone if the wireless access frequency of failure that newly-built channel causes surpasses the 3rd threshold value.
L63, optimization network.
Corresponding increase is with covering the adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.

Claims (17)

1, a kind of method of optimizing network is characterized in that, comprises the following steps:
A, default measurement period, default tested zone;
B, in default described measurement period, measure the ability credit rating parameter in the default described tested zone;
The ability credit rating parameter that C, output measure;
D, judge network condition according to the described ability credit rating parameter that measures;
E, according to the corresponding optimization network of judged result.
2, the method for claim 1 is characterized in that, among the described step B, adopts the dynamic variable method of measurement that credit degree resource occupancy mean value is measured.
3, method as claimed in claim 2 is characterized in that, if credit degree resource occupancy mean value surpasses first threshold value, judge that then network load is heavy in the tested zone, and corresponding increase adjacent area shares load, or to the corresponding service channel dilatation in tested zone, to optimize network.
4, method as claimed in claim 2 is characterized in that, among the described step B, adopts the dynamic variable method of measurement that the maximum and the minimum value of credit degree resource occupancy are measured respectively.
5, method as claimed in claim 4, it is characterized in that, adopt the linear data analytical method to obtain network operation load peak, with described network operation load peak as of the corresponding service channel dilatation of the dilatation upper limit to tested zone, or corresponding increase adjacent area shares load, to optimize network.
6, the method for claim 1 is characterized in that, among the described step B, adopts the accumulative total method of measurement that the wireless access success and the frequency of failure that cause owing to the credit degree resource operating position are measured respectively.
7, method as claimed in claim 6, it is characterized in that, number of times according to described wireless access success and failure, analyze the credit rating consumption situation, if because the wireless access frequency of failure that the credit degree resource operating position causes is more, the credit rating consumption height carries out corresponding increase adjacent area and shares load, or to the corresponding service channel dilatation in tested zone, to optimize network.
8, method as claimed in claim 6 is characterized in that, among the described step B, adopts the accumulative total method of measurement respectively the wireless access frequency of failure that difference access reason causes to be measured.
9, method as claimed in claim 8 is characterized in that, the wireless access failure that described different access reasons cause comprises: the Zone switched wireless access failure that causes, and the wireless access that newly-built channel causes is failed.
10, method as claimed in claim 9 is characterized in that, if the Zone switched wireless access frequency of failure that causes surpasses second threshold value, then judges the credit rating consumption height of adjacent area, and tackles the adjacent area dilatation mutually, to optimize network.
11, method as claimed in claim 9 is characterized in that, if the Zone switched wireless access frequency of failure that causes surpasses second threshold value, judges that then switching times is many, and the coverage in the tested zone of corresponding increase, to optimize network.
12, method as claimed in claim 9 is characterized in that, if the wireless access frequency of failure that newly-built channel causes surpasses the 3rd threshold value, then judge the credit rating consumption height in tested zone, and corresponding increase is with covering the adjacent area, or to the corresponding service channel dilatation in tested zone, to optimize network.
13, the method for claim 1 is characterized in that, among the described step B, measures the ability credit rating parameter of different channels Linktype and type of service.
14, method as claimed in claim 13 is characterized in that, described channel link type comprises: the overall link of up link, down link and up-downgoing.
15, method as claimed in claim 13 is characterized in that, described type of service comprises: session service type, stream type of service, interactive service type and background service type.
16, as claim 1 or 13 described methods, it is characterized in that described appointed area comprises: the scope that sub-district and/or radio network controller cover.
17, a kind of system that optimizes network is characterized in that, comprising:
Measurement period is provided with the unit, is used for default measurement period;
The appointed area is provided with the unit, is used for default tested zone;
Measuring unit is used in described measurement period is provided with the default described measurement period limit in unit, measures described appointed area measurement capability credit rating parameter in the default described tested zone, unit is set, and export the ability credit rating parameter that measures;
Judging unit is used for the ability credit rating parameter that measures according to described measuring unit output, judges network condition;
Network optimization unit is used for the judged result according to the output of described judging unit, correspondingly carries out the network optimization.
CNB2006101039150A 2006-07-26 2006-07-26 Method and system for optimizing network Active CN100479578C (en)

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Publication number Priority date Publication date Assignee Title
CN101959219B (en) * 2009-03-20 2012-07-04 华为技术有限公司 Managed unit equipment, self-optimizing method and system
CN105050121A (en) * 2015-08-20 2015-11-11 中国联合网络通信集团有限公司 Sector optimizing method and device

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