CN104507105A - Parameter adaptive filtering method and device - Google Patents
Parameter adaptive filtering method and device Download PDFInfo
- Publication number
- CN104507105A CN104507105A CN201410849530.3A CN201410849530A CN104507105A CN 104507105 A CN104507105 A CN 104507105A CN 201410849530 A CN201410849530 A CN 201410849530A CN 104507105 A CN104507105 A CN 104507105A
- Authority
- CN
- China
- Prior art keywords
- sampling period
- channel quality
- relevant parameter
- quality relevant
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
Abstract
The invention discloses a parameter adaptive filtering method and device. The method comprises obtaining first channel quality correlated parameters according to a first sampling period; according to the first channel quality correlated parameters, determining whether a current network is in a set network state; if so, adjusting the first sampling period into a second sampling period, and sampling channel quality correlated parameters according to the second sampling period. The parameter adaptive filtering method can be directly applied to existing communication networks and break through traditional parameter filtering method, thereby avoiding losses of effective parameters in important scenes on the one hand to reduce obstacles against network problem analysis and to improve the network state analyzing efficiency, and on the other hand, through compression of data amount, avoiding repeated reporting of redundant data and releasing the processing pressure on analysis software.
Description
Technical field
The present invention relates to parameter filtering technique, particularly relate to a kind of parameter adaptive filter method and device.
Background technology
In recent years, the development of mobile communication has progressively been marched toward the 3G epoch from the 2G epoch before, is also about to enter the 4G epoch from the present 3G epoch, and thereupon, terminal chip also needs to be optimized to higher target.But terminal chip brings a lot of problem in the process optimized, need the protocol parameter data volume that reports comparatively large as: existing LTE network relative to 2/3G network and report too frequent, this directly causes parameter information record will the file of generation about 1GB in one hour.Like this, bring serious burden on the one hand to memory space, the process analytic ability on the other hand for analysis software brings huge load.
But exceedingly unified sampling carried out to parameter or simply unified smoothing processing carried out to parameter, when analyzing network state, by cause cannot the root of directly orientation problem or find problem intuitively.
Parameter filter method traditional at present has and carries out sampling and carrying out sampling two kinds of methods according to number of parameters according to the time.These two kinds of methods are all that unification is sampled to parameter.
Sample according to the time, namely according to the timestamp that parameter self reports, carry out parameter filtration according to cycle regular hour.Such as, suppose that the timestamp that a network parameter reports itself is 40 milliseconds, after use 500 milliseconds is sampled, the data volume that originally may record 90000 in hour will be down to 7200, decrease the data volume of 92%.
Sample according to number of parameters, namely carry out parameter filtration according to certain oversampling ratio.Such as, suppose to use the ratio of 13:1 to filter to the measurement parameter of field intensity, if network parameter reported 50000 data in one hour, after using the filter method of 13:1, in one hour record data volume by under slide to 3846 data.
But in actual applications, because above-mentioned two kinds of parameter filter methods all use unitized filter criteria, when terminal is under certain special network environment, cannot may analyze network environment now because the parameter gathered is abundant not, but once reduce the filter cycle of parameter, likely cause again terminal under the network environment of good and no problem, to the filter operation of gathered parameter, too redundancy is burdensome, reduces the analysis efficiency to network state.In addition, owing to can smooth out the data being conducive to problem analysis when parameter sampling, when the network scenarios special to certain is analyzed, need retest repeatedly to obtain data, thus cause the cost on time and manpower to waste.
Summary of the invention
The embodiment of the present invention provides a kind of parameter adaptive filter method and device, in order to solve the excessive loss of the important parameter that parameter filter method traditional in prior art brings, thus cause needing retest, cause the waste on time and manpower, reduce the problem of the analysis efficiency of network optimization personnel.
The concrete technical scheme that the embodiment of the present invention provides is as follows:
First aspect, a kind of parameter adaptive filter method, comprising:
The first channel quality relevant parameter is obtained according to the first sampling period;
Under judging whether current network is in the network state of setting according to described first channel quality relevant parameter;
When determining to be under the network state of setting, the first sampling period was adjusted to for the second sampling period, and continues to sample to channel quality relevant parameter according to the second sampling period.
By this implementation, when terminal is under special network state, the sampling period of adjustment parameter, breach the parameter filter method of traditional fixed sample period, avoid on the one hand the loss of actual parameter under important scenes, decrease the obstruction of network problem analysis, improve the analysis efficiency of network state, on the other hand data volume is compressed, avoid redundant data repeat report, alleviate the processing pressure of analysis software.
In conjunction with first aspect, in the implementation that the first is possible, obtain the first channel quality relevant parameter according to the first sampling period, comprising:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
By this implementation, according to the channel quality relevant parameter obtained in the real time parsing from signaling message and network state, as the foundation of adjustment collection period.
In conjunction with any one implementation above-mentioned of first aspect, in the implementation that the second is possible, under judging whether current network is in the network state of setting according to described first channel quality relevant parameter, comprising:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
By this implementation, terminal can adjust the sampling period of channel quality relevant parameter automatically according to existing network state, when network state is low, the sampling period of channel quality relevant parameter is shortened, when network state is good, the sampling period of channel quality relevant parameter is amplified, also the sampling period of channel quality relevant parameter automatically can be adjusted according to existing test scene, by identifying that signaling message determines whether special test scene, thus carry out the adjustment in sampling period.
In conjunction with first aspect, in the implementation that the third is possible, after continuing to sample to channel quality relevant parameter according to the second sampling period, comprise further:
Second channel relevant parameter is obtained according to the second sampling period;
Under judging whether current network is still in the network state of setting according to described second channel quality related parameter;
If so, then continue to sample to channel quality relevant parameter according to the second sampling period, otherwise, the second sampling period was adjusted to for the first sampling period, and continues to sample to channel quality relevant parameter according to the first sampling period.
By this implementation, when subsequent terminal is judged no longer to be under special network scenarios, the adjustment sampling period, to reduce reporting of redundant data.
In conjunction with the first or the third implementation of first aspect, first aspect, in the 4th kind of possible implementation, the duration in described first sampling period is greater than the duration in described second sampling period.
By this implementation, the data volume of collecting when terminal was sampled according to the first sampling period is less, after sampling according to the second sampling period, then can gather channel quality relevant parameter more continually, thus can obtain when test jobs more abundant under the network scenarios of special concern and be conducive to the data analyzed, also can not produce excessive data volume on the whole simultaneously.
Second aspect, a kind of parameter adaptive filter, comprising:
First sampling unit, for obtaining the first channel quality relevant parameter according to the first sampling period;
According to described first channel quality relevant parameter, judging unit, under judging whether current network is in the network state of setting;
Second sampling unit, for when described judging unit is determined under the network state being in setting, was adjusted to for the second sampling period by the first sampling period, and continued to sample to channel quality relevant parameter according to the second sampling period.
Like this, by the mutual coordination of above-mentioned unit, when terminal is under special network state, in the sampling period of adjustment parameter, breach the parameter filter method of traditional fixed sample period, avoid on the one hand the loss of actual parameter under important scenes, decrease the obstruction of network problem analysis, improve the analysis efficiency of network state, on the other hand data volume is compressed, avoid redundant data repeat report, alleviate the processing pressure of analysis software.
In conjunction with second aspect, in the implementation that the first is possible, described first sampling unit specifically for:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
By this implementation, the first sampling unit according to the channel quality relevant parameter obtained in the real time parsing from signaling message and network state, as adjustment collection period foundation.
In conjunction with any one implementation above-mentioned of second aspect, in the implementation that the second is possible, described judging unit specifically for:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
By this implementation, automatically the sampling period of channel quality relevant parameter can be adjusted according to existing network state, when network state is low, the sampling period of channel quality relevant parameter is shortened, when network state is good, the sampling period of channel quality relevant parameter is amplified, also automatically can adjust the sampling period of channel quality relevant parameter according to existing test scene, by identifying that signaling message determines whether special test scene, thus carry out the adjustment in sampling period.
In conjunction with second aspect, in the implementation that the third is possible, after described second sampling unit continued to sample to channel quality relevant parameter according to the second sampling period:
Described second sampling unit, is further used for obtaining second channel relevant parameter according to the second sampling period;
Described judging unit, under being further used for judging whether current network is still in the network state of setting according to described second channel quality related parameter; If, then notify that described second sampling unit continues to sample to channel quality relevant parameter according to the second sampling period, otherwise, notify that the second sampling period was adjusted to for the first sampling period by described first sampling unit, and continue to sample to channel quality relevant parameter according to the first sampling period.
By this implementation, when follow-up judging unit is judged no longer to be under special network scenarios, just notified for the first sampling unit adjustment sampling period, to reduce reporting of redundant data.
In conjunction with the first or the third implementation of second aspect, second aspect, in the 4th kind of possible implementation, the duration in described first sampling period that described first sampling unit adopts is greater than the duration in described second sampling period that described second sampling unit adopts.
By this implementation, the data volume of collecting when the first sampling unit was sampled according to the first sampling period is less, after second sampling unit was sampled according to the second sampling period, then can gather channel quality relevant parameter more continually, thus can obtain when test jobs more abundant under the network scenarios of special concern and be conducive to the data analyzed, also can not produce excessive data volume on the whole simultaneously.
The third aspect, a kind of parameter adaptive filter, comprising:
Processor, for obtaining the first channel quality relevant parameter according to the first sampling period; Under judging whether current network is in the network state of setting according to described first channel quality relevant parameter; When determining to be under the network state of setting, the first sampling period was adjusted to for the second sampling period, and continues to sample to channel quality relevant parameter according to the second sampling period.
Like this, when processor is under special network state, the sampling period of adjustment parameter, breach the parameter filter method of traditional fixed sample period, avoid on the one hand the loss of actual parameter under important scenes, decrease the obstruction of network problem analysis, improve the analysis efficiency of network state, on the other hand data volume is compressed, avoid redundant data repeat report, alleviate the processing pressure of analysis software.
In conjunction with the third aspect, in the implementation that the first is possible, described processor specifically for:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
By this implementation, processor according to the channel quality relevant parameter obtained in the real time parsing from signaling message and network state, as adjustment collection period foundation.
In conjunction with any one implementation above-mentioned of the third aspect, in the implementation that the second is possible, described processor specifically for:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
By this implementation, processor can adjust the sampling period of channel quality relevant parameter automatically according to existing network state, when network state is low, the sampling period of channel quality relevant parameter is shortened, when network state is good, the sampling period of channel quality relevant parameter is amplified, also the sampling period of channel quality relevant parameter automatically can be adjusted according to existing test scene, by identifying that signaling message determines whether special test scene, thus carry out the adjustment in sampling period.
In conjunction with the third aspect, in the implementation that the third is possible, described processor is further used for after continuing to sample to channel quality relevant parameter according to the second sampling period:
Second channel relevant parameter is obtained according to the second sampling period; Under judging whether current network is still in the network state of setting according to described second channel quality related parameter; If so, then continue to sample to channel quality relevant parameter according to the second sampling period, otherwise, the second sampling period was adjusted to for the first sampling period, and continues to sample to channel quality relevant parameter according to the first sampling period.
By this implementation, when subsequent processor is judged no longer to be under special network scenarios, just adjust the sampling period, to reduce reporting of redundant data.
In conjunction with the first or the third implementation of the third aspect, the third aspect, in the 4th kind of possible implementation, the duration in described first sampling period that described processor adopts is greater than the duration in described second sampling period.
By this implementation, the data volume of collecting when processor was sampled according to the first sampling period is less, after sampling according to the second sampling period, then can gather channel quality relevant parameter more continually, thus can obtain when test jobs more abundant under the network scenarios of special concern and be conducive to the data analyzed, also can not produce excessive data volume on the whole simultaneously.
Accompanying drawing explanation
Fig. 1 is the flow chart in the embodiment of the present invention, parameter being carried out to adaptive filtering;
Fig. 2 is the first structure chart of parameter adaptive filter in the embodiment of the present invention;
Fig. 3 is the first structure chart of parameter adaptive filter in the embodiment of the present invention.
Embodiment
Adopt technical solution of the present invention, effectively can solve the excessive loss of the important parameter that traditional parameter filter method brings, thus cause needing retest, cause the waste on time and manpower, reduce the problem of the analysis efficiency of network optimization personnel.
Embodiments provide a kind of parameter adaptive filter method and device, below in conjunction with accompanying drawing, the preferred embodiment of the present invention is described in detail.
Consult shown in Fig. 1, in the embodiment of the present invention, the flow process of parameter being carried out to adaptive filtering is as follows:
Step 100: terminal obtains the first channel quality relevant parameter according to the first sampling period.
Concrete, when performing step 100, terminal can be sampled to network environment data according to the first sampling period, and using sampled result as the first channel quality relevant parameter.So-called network environment data, can be the field intensity of terminal place network, signal to noise ratio (Signal to Noise Ratio, SNR), signal interference ratio (Signal to Interference Radio, SIR), channel quality indicates parameter values such as (Channel Quality Indication, CQI).Or terminal also according to the first sampling period record signaling, and can be resolved signaling, extracts the first channel quality relevant parameter from signaling.Because terminal can carry out record to the signaling message of up-downgoing, so the signaling recorded here includes signaling that terminal self reports to network side and the signaling that terminal from network side receives.
Step 110: according to the first channel quality relevant parameter, terminal judges whether current network is in the network state of setting under.
Concrete, when the first channel quality relevant parameter is the sampled result obtained after terminal is sampled to network environment data, terminal needs to judge that whether this first channel quality relevant parameter is lower than the threshold value preset, when determining it lower than the threshold value preset, then under terminal check current network is in the network state of setting.
Such as, when testing the quality of the network coverage, the region good for the network coverage can not be paid close attention to usually, and attentiveness can be placed on the more weak region of the network coverage.Terminal initial uses fixing a kind of sampling period from residing network environment, obtain the field intensity value of network, by obtaining the field intensity mean value in the sampling period after certain calculating, and this field intensity mean value and the field strength level value preset are compared, thus judge network state at that time.If in the regular hour, field intensity mean value is always lower than the field strength level value preset, and so terminal just can confirm that current Local Area Network covering quality is poor, under namely current network environment is in the network state of setting.
When the first channel quality relevant parameter is the information extracted from the signaling after terminal parses, so terminal needs to judge whether this first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, then under terminal check current network is in the network state of setting.
Such as, in order to the normal use making the construction of current 4G network not have influence on 2/3G network, and guarantee 4G network can with the smooth fusion of 2/3G network, usually can carry out test jobs at the boundary of different system.Terminal uses fixing a kind of sampling period from residing network environment, obtain the field intensity value of network in the early stage, and in real time the signaling of eating dishes without rice or wine that self reports of record is resolved, the network scenarios judging at that time by the information extracted in the signaling after analytically.When the information that terminal is determined to extract in the signaling is analytically the handover information of different system, so terminal just can confirm the boundary now having entered different system.
Step 120: when terminal is determined to be under the network state of setting, the first sampling period was adjusted to for the second sampling period, and continue to sample to channel quality relevant parameter according to the second sampling period.
In actual applications, the duration in above-mentioned first sampling period is generally greater than the duration in above-mentioned second sampling period.After terminal was sampled according to the second sampling period, can gather channel quality relevant parameter more continually, thus can obtain when test jobs more abundant under the network scenarios of special concern and be conducive to the data analyzed, also can not produce excessive data volume on the whole simultaneously.
Further, follow-up, terminal continued to sample to channel quality relevant parameter according to the second sampling period, and obtain second channel relevant parameter, then under judging whether current network is still in the network state of setting according to second channel quality related parameter, if, then terminal continues to sample to channel quality relevant parameter according to the second sampling period, otherwise, second sampling period was adjusted to for the first sampling period by terminal, and continued to sample to channel quality relevant parameter according to the first sampling period.
Based on above-described embodiment, be described in detail with two specific embodiments respectively below.
The first situation, for automatically adjusting the sampling period of channel quality relevant parameter according to existing test scene, by identifying that signaling message determines whether special test scene, thus carries out the adjustment in sampling period.
For the test scene that different system boundary switches, whether the coverage condition can understanding different system boundary place by field intensity value reaches requirement.Terminal uses a kind of sampling period in the early stage, and as the field intensity value of the sampling periods of 500 milliseconds to residing network gathers, meanwhile, terminal can in real time to self reporting the signaling of eating dishes without rice or wine to resolve.When terminal enters different system boundary, terminal can analytically after signaling in extract the handover information of different system, thus confirm the switching of different system, now terminal can adjust the sampling period of field intensity value, as being adjusted to the sampling period of 40 milliseconds from the sampling period of 500 milliseconds, and gather field intensity value according to the new sampling period.When terminal after a period of time of setting, when obtaining different system message as all not having in the times of 10 seconds in signaling analytically, terminal then recovers the initial sampling period of 500 milliseconds.This method can not only obtain more abundant and be conducive to the data analyzed under the network scenarios of special concern, also can not produce excessive data volume on the whole simultaneously.By that analogy, this method is not only applicable to the scene of different systematic evaluation, all can be suitable for for the network scenarios such as cell merge, redirecting cell yet.
The second situation, for automatically adjusting the sampling period of channel quality relevant parameter according to existing network state, when network state is low, the sampling period of channel quality relevant parameter is shortened, when network state is good, the sampling period of channel quality relevant parameter is amplified.
For the test scene of network coverage quality, terminal can by the network coverage situation obtaining at that time after carrying out certain calculating to the solenoid field intensity values gathered.Terminal initial uses fixing a kind of sampling period, as the sampling period of 500 milliseconds, obtain the field intensity value of network, and calculate the field intensity mean value of residing network in these 500 milliseconds, compare with the field intensity threshold value preset, the network coverage situation judging at that time with this.If within a period of time of setting, as in 10 seconds, below the field strength level value that the field intensity mean value that terminal obtains is being preset always, so terminal check network coverage quality is now poor, then the sampling period of field intensity value is reduced, as being reduced into the sampling period of 40 milliseconds, and according to the sampling period of 40 milliseconds, field intensity value is sampled.When after preset a period of time in, as in 5 seconds, terminal obtain field intensity mean value return to more than field strength level value, so the sampling period is returned to the initial sampling period of 500 milliseconds by terminal.This method not only obtains the data of crucial network state, decreases reporting of redundant data simultaneously, improves the analysis efficiency to network state.
In addition, the collection period of the present embodiment, except taking time as the collection that dimension carries out parameter, can also take distance as dimension.Such as, when terminal is determined to enter special test scene from signaling resolution, or when terminal is according to the network channel relevant parameter confirmation network quality variation collected and lower than the threshold value preset, can the collection period of decreased distance, such as, from the initial collection carrying out primary parameter every 100 meters, the collection carrying out primary parameter every 10 meters can be narrowed down to.
Based on above-described embodiment, consult shown in Fig. 2, in the embodiment of the present invention, parameter adaptive filter comprises:
First sampling unit 200, for obtaining the first channel quality relevant parameter according to the first sampling period.
According to the first channel quality relevant parameter, judging unit 201, under judging whether current network is in the network state of setting.
Second sampling unit 202, for when judging unit 201 is determined under the network state being in setting, was adjusted to for the second sampling period by the first sampling period, and continued to sample to channel quality relevant parameter according to the second sampling period.
Particularly, in the embodiment of the present invention, the first sampling unit 200 can be sampled to network environment data according to the first sampling period, and using sampled result as the first channel quality relevant parameter.Or the first sampling unit 200 also according to the first sampling period record signaling, and can extract the first channel quality relevant parameter from signaling.
Particularly, when the first channel quality relevant parameter is sampled result, judging unit 201 judges that whether this first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under judging unit 201 confirms that current network is in the network state of setting.
In addition, when the first channel quality relevant parameter is the information extracted from signaling, judging unit 201 judges whether this first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under judging unit 201 confirms that current network is in the network state of setting.
Further, after the second sampling unit 202 continued to sample to channel quality relevant parameter according to the second sampling period, the second sampling unit 202 obtains second channel relevant parameter according to the second sampling period.
And judging unit 201, also under judging whether current network is still in the network state of setting according to above-mentioned second channel quality related parameter; If, then judging unit 201 notifies that the second sampling unit 202 continues to sample to channel quality relevant parameter according to the second sampling period, otherwise, judging unit 201 notifies that the second sampling period was adjusted to for the first sampling period by the first sampling unit 200, and continues to sample to channel quality relevant parameter according to the first sampling period.
Wherein, the duration in the first sampling period of the first sampling unit 200 employing is greater than the duration in the second sampling period that the second sampling unit 202 adopts.
Based on a kind of parameter adaptive filter method that the embodiment of the present invention provides, the embodiment of the present invention additionally provides another kind of parameter adaptive filter, consults shown in Fig. 3, and this device comprises: processor 300, wherein
Processor 300, for obtaining the first channel quality relevant parameter according to the first sampling period, and under judging whether current network is in the network state of setting according to the first channel quality relevant parameter, when under the network state determining to be in setting, first sampling period was adjusted to for the second sampling period, and continues to sample to channel quality relevant parameter according to the second sampling period.
When obtaining the first channel quality relevant parameter according to the first sampling period, processor 300 can be sampled to network environment data according to the first sampling period, and using sampled result as the first channel quality relevant parameter, also according to the first sampling period record signaling, and the first channel quality relevant parameter can be extracted from signaling.
When judging whether current network is under the network state of setting, when the first channel quality relevant parameter is sampled result, processor 300 judges that whether the first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under processor 300 confirms that current network is in the network state of setting.When the first channel quality relevant parameter is the information extracted from signaling, processor 300 judges whether the first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under processor 300 confirms that current network is in the network state of setting.
After processor 300 continued to sample to channel quality relevant parameter according to the second sampling period, be further used for: obtain second channel relevant parameter according to the second sampling period, and under judging whether current network is still in the network state of setting according to second channel quality related parameter; If, then processor 300 continues to sample to channel quality relevant parameter according to the second sampling period, otherwise the second sampling period was adjusted to for the first sampling period by processor 300, and continue to sample to channel quality relevant parameter according to the first sampling period.
Wherein, the duration in the first sampling period of processor 300 employing is greater than the duration in the second sampling period.
In sum, the technical scheme that the embodiment of the present invention provides is by adjusting the collection period of network channel relevant parameter to the real time parsing of signaling message and network state, existing communication network can be directly applied to, breach traditional parameter filter method, avoid on the one hand the loss of actual parameter under important scenes, decrease the obstruction of network problem analysis, improve the analysis efficiency of network state, on the other hand data volume is compressed, avoid redundant data repeat report, alleviate the processing pressure of analysis software.
Obviously, those skilled in the art can carry out various change and modification to the embodiment of the present invention and not depart from the spirit and scope of the embodiment of the present invention.Like this, if these amendments of the embodiment of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (15)
1. a parameter adaptive filter method, is characterized in that, comprising:
The first channel quality relevant parameter is obtained according to the first sampling period;
Under judging whether current network is in the network state of setting according to described first channel quality relevant parameter;
When determining to be under the network state of setting, the first sampling period was adjusted to for the second sampling period, and continues to sample to channel quality relevant parameter according to the second sampling period.
2. the method for claim 1, is characterized in that, obtains the first channel quality relevant parameter, comprising according to the first sampling period:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
3. method as claimed in claim 1 or 2, is characterized in that, under judging whether current network is in the network state of setting, comprising according to described first channel quality relevant parameter:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
4. the method for claim 1, is characterized in that, after continuing to sample to channel quality relevant parameter, comprises further according to the second sampling period:
Second channel relevant parameter is obtained according to the second sampling period;
Under judging whether current network is still in the network state of setting according to described second channel quality related parameter;
If so, then continue to sample to channel quality relevant parameter according to the second sampling period, otherwise, the second sampling period was adjusted to for the first sampling period, and continues to sample to channel quality relevant parameter according to the first sampling period.
5. the method as described in claim 1,2 or 4, is characterized in that, the duration in described first sampling period is greater than the duration in described second sampling period.
6. a parameter adaptive filter, is characterized in that, comprising:
First sampling unit, for obtaining the first channel quality relevant parameter according to the first sampling period;
According to described first channel quality relevant parameter, judging unit, under judging whether current network is in the network state of setting;
Second sampling unit, for when described judging unit is determined under the network state being in setting, was adjusted to for the second sampling period by the first sampling period, and continued to sample to channel quality relevant parameter according to the second sampling period.
7. device as claimed in claim 6, is characterized in that, described first sampling unit specifically for:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
8. device as claimed in claims 6 or 7, is characterized in that, described judging unit specifically for:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
9. device as claimed in claim 6, is characterized in that, after described second sampling unit continued to sample to channel quality relevant parameter according to the second sampling period:
Described second sampling unit, is further used for obtaining second channel relevant parameter according to the second sampling period;
Described judging unit, under being further used for judging whether current network is still in the network state of setting according to described second channel quality related parameter; If, then notify that described second sampling unit continues to sample to channel quality relevant parameter according to the second sampling period, otherwise, notify that the second sampling period was adjusted to for the first sampling period by described first sampling unit, and continue to sample to channel quality relevant parameter according to the first sampling period.
10. the device as described in claim 6,7 or 9, is characterized in that, the duration in described first sampling period that described first sampling unit adopts is greater than the duration in described second sampling period that described second sampling unit adopts.
11. 1 kinds of parameter adaptive filters, is characterized in that, comprising:
Processor, for obtaining the first channel quality relevant parameter according to the first sampling period; Under judging whether current network is in the network state of setting according to described first channel quality relevant parameter; When determining to be under the network state of setting, the first sampling period was adjusted to for the second sampling period, and continues to sample to channel quality relevant parameter according to the second sampling period.
12. devices as claimed in claim 11, is characterized in that, described processor specifically for:
According to the first sampling period, network environment data is sampled, and using sampled result as the first channel quality relevant parameter; Or,
According to the first sampling period record signaling, and from described signaling, extract the first channel quality relevant parameter.
13. devices as described in claim 11 or 12, is characterized in that, described processor specifically for:
When described first channel quality relevant parameter is described sampled result, judge that whether described first channel quality relevant parameter is lower than the threshold value preset, when determining the threshold value lower than presetting, under confirming that current network is in the network state of setting;
When described first channel quality relevant parameter is the information extracted from described signaling, judge whether described first channel quality relevant parameter belongs to the signaling parameter of setting, when determining the signaling parameter belonging to setting, under confirming that current network is in the network state of setting.
14. devices as claimed in claim 11, is characterized in that, described processor is further used for after continuing to sample to channel quality relevant parameter according to the second sampling period:
Second channel relevant parameter is obtained according to the second sampling period; Under judging whether current network is still in the network state of setting according to described second channel quality related parameter; If so, then continue to sample to channel quality relevant parameter according to the second sampling period, otherwise, the second sampling period was adjusted to for the first sampling period, and continues to sample to channel quality relevant parameter according to the first sampling period.
15. devices as described in claim 11,12 or 14, is characterized in that, the duration in described first sampling period that described processor adopts is greater than the duration in described second sampling period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410849530.3A CN104507105B (en) | 2014-12-29 | 2014-12-29 | A kind of parameter adaptive filter method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410849530.3A CN104507105B (en) | 2014-12-29 | 2014-12-29 | A kind of parameter adaptive filter method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104507105A true CN104507105A (en) | 2015-04-08 |
| CN104507105B CN104507105B (en) | 2019-03-01 |
Family
ID=52948806
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410849530.3A Active CN104507105B (en) | 2014-12-29 | 2014-12-29 | A kind of parameter adaptive filter method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104507105B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019091359A1 (en) * | 2017-11-08 | 2019-05-16 | 华为技术有限公司 | Sampling frequency recommendation method, device, equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1477554A (en) * | 2003-07-25 | 2004-02-25 | 中国科学院计算技术研究所 | Adaptive network data acquisition method |
| CN101107675A (en) * | 2005-01-26 | 2008-01-16 | 模拟装置公司 | Sample and hold apparatus |
-
2014
- 2014-12-29 CN CN201410849530.3A patent/CN104507105B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1477554A (en) * | 2003-07-25 | 2004-02-25 | 中国科学院计算技术研究所 | Adaptive network data acquisition method |
| CN101107675A (en) * | 2005-01-26 | 2008-01-16 | 模拟装置公司 | Sample and hold apparatus |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019091359A1 (en) * | 2017-11-08 | 2019-05-16 | 华为技术有限公司 | Sampling frequency recommendation method, device, equipment and storage medium |
| EP3694154A4 (en) * | 2017-11-08 | 2020-11-25 | Huawei Technologies Co., Ltd. | Sampling frequency recommendation method, device, equipment and storage medium |
| US11336540B2 (en) | 2017-11-08 | 2022-05-17 | Huawei Technologies Co., Ltd. | Sampling frequency recommendation method, apparatus and device, and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104507105B (en) | 2019-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102457890B (en) | A kind of method and system realizing drive test | |
| US8831586B2 (en) | Method and system for reporting neighbor cell information | |
| CN102821408B (en) | A-port and Abis-port signaling data based high-speed railway field network optimizing method | |
| RU2571568C2 (en) | Method and apparatus for remote fault location in wireless network | |
| WO2016090961A1 (en) | Method and device for network associations analysis | |
| CN1984471B (en) | Method and system for optimizing homogeneous-frequency adjacent-domain configuration | |
| CN107786994B (en) | User perception quality difference analysis method and system for end-to-end wireless service | |
| CN105959976B (en) | VoLTE analysis method based on measurement report | |
| CN109982353A (en) | Cell optimization method, device and equipment based on VoLTE network | |
| CN104427549B (en) | A kind of network problem analysis method and system | |
| CN107561426A (en) | A kind of Partial Discharge Online Monitoring of Transformers system based on acooustic combination | |
| CN105188074B (en) | Control method, device and the base station of cell signal | |
| CN101282554A (en) | Fixedpoint capturing analysis method for mobile communication network signal strength and communication quality | |
| CN105357699A (en) | Wireless network quality monitoring system and method | |
| CN105722114A (en) | Method and apparatus for analyzing downlink interference of LTE network | |
| CN108668296B (en) | Method, device and equipment for determining circuit switched fallback perception difference cell | |
| CN104215853A (en) | Data acquiring method of power quality monitoring system | |
| CN103269459A (en) | Monitoring system directing at user experience quality of stream media service | |
| CN110856188B (en) | Communication method, apparatus, system, and computer-readable storage medium | |
| CN105101246A (en) | Method and device for determining cell with coverage hole | |
| CN106358212A (en) | Detection method and device for indoor distribution system | |
| CN103458448B (en) | A kind of communication network failure diagnostic method and equipment | |
| CN103906096B (en) | The acquisition method and device of metrical information in a kind of measurement report | |
| CN107371183B (en) | Method and device for outputting network quality report | |
| CN104349335A (en) | Network covering plan index analysis method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |