CN103906149A - Method, device and system for signal fluctuation analysis - Google Patents

Method, device and system for signal fluctuation analysis Download PDF

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CN103906149A
CN103906149A CN201210587680.2A CN201210587680A CN103906149A CN 103906149 A CN103906149 A CN 103906149A CN 201210587680 A CN201210587680 A CN 201210587680A CN 103906149 A CN103906149 A CN 103906149A
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value
filter window
intensity measured
level intensity
measured value
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CN103906149B (en
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吴强
王帆
肖芸
高爱丽
张俊鹏
贾焱
王海京
王冀彬
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China Mobile Group Beijing Co Ltd
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Abstract

The invention discloses a method and device for signal fluctuation analysis, a filtering window adjusting module and a base station power control method and system. According to the volatility of signals, the size of a filtering window used for calculation of an average value next time is adjusted dynamically so that the average value calculated next time can reflect the current signal condition more accurately. For different users in the same cell, reasonable filtering windows are selected respectively and dynamically according to different wireless environments where terminals are located so that the average values reflecting the current wireless environments where all the users are located can be obtained accurately in time to participate in power control or base station switching judgment, and then the problem that the size of a statically configured filtering window cannot meet the demands of the users in the different wireless environments of the cell is avoided.

Description

A kind of signal fluctuation analytical method, Apparatus and system
Technical field
The present invention relates to wireless technical field, relate in particular to a kind of signal fluctuation analytical method and device, filter window adjusting module, base station power control method and system.
Background technology
In mobile communication technology, switching and power control are the most basic functions that guarantees network communication services.And no matter be to switch or power control, all need respectively up-downgoing wireless link to be measured to obtain link circuit condition by MS and BTS, and make accordingly power control judgement or switch decision.Because wireless signal itself fluctuates, enter a judgement with regard to corresponding if often measure a value, be just easy to occur misoperation.For reducing the fluctuation impact of wireless signal, the out-hole run value that generally all needs measurement report that MS is reported and BTS to record is carried out filtering processing, also carries out arithmetic average or weighted average by multiple measured values, obtains a mean value.Prior art, for the dissimilar switching/power control in each community, all can arrange corresponding filter window parameter, this parameter-definition how many measured values are averaged to obtain a mean value.After this parameter arranges, all MS under community act in accordance with it.
In prior art, in the time that measured value is carried out to preliminary treatment, determine by this parameter of filter window the number of measurement values being averaged.This parameter is cell-level parameter, once set (supposition is set to W), all MS under this community need to, having collected after W measurement, average processing to this W measured value, obtain a mean value and participate in judging process and go.If it is excessive that this parameter arranges, can well overcome the fluctuation of signal, but can cause the processing time long, can not catch up with in time the variation of signal; If arrange too smallly, the variation of response signal in time, but be easy to be subject to the impact of signal fluctuation, easily causes misjudgement.Even if same MS because its residing wireless environment is also changing, therefore adopts single W to average in a communication process, the mean value obtaining can not reflect the wireless actual conditions in each moment.
Under community, user distribution is at the diverse location of community, residing wireless environment is all different, signal fluctuation situation is had nothing in common with each other, therefore no matter why this parameter setting is worth, certain customers' best results under specific wireless environment under all can only Shi Duigai community, and to as long as wireless environment slightly changes, will exist and can not overcome signal fluctuation or long problem of processing time.
Obtaining after mean value, recycling N/P criterion judges, is also in N mean value, to have P to exceed appointed threshold Th, just triggers corresponding power control/switching flow.
The technical issues that need to address are at present: in the communication process for the different user under same community and same user, how can be according to themselves current residing different wireless environment rational filter window of choice of dynamical respectively, to obtain accurately reflecting that the mean value of each user radio environment participates in power control or switch decision in time, thereby the filter window size of evading static configuration cannot meet user's request under different radio environment under community.
Summary of the invention
In order to solve the technical problem to signal fluctuation erroneous judgement in prior art, the present invention proposes a kind of signal fluctuation analytical method, device and filter window adjusting module.
In order to solve in prior art, base station power control and base station are switched to the technical problem that occurs misoperation, the present invention proposes a kind of base station power control method and system, base station switching control method and system.
One aspect of the present invention, provides a kind of signal fluctuation analytical method, comprising:
With the first filter window value W 1gather W 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, calculate standard variance coefficient V according to described level intensity measured value σ 1;
According to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the second filter window value W next time analyzing 2;
According to described the second filter window value W 2gather W 2individual level intensity measured value, calculates W 2the second mean value AVE of individual level intensity measured value 2, and calculate the 3rd filter window value W next time analyzing again 3;
When analysis each time, all recalculate the filter window value of next time analyzing, by that analogy.
Another aspect of the present invention, provides a kind of signal fluctuation analytical equipment, comprising:
Acquisition module, for according to the first filter window value W 1gather W 1individual level intensity measured value;
Fluction analysis module, for calculating W 1the first mean value AVE of individual level intensity measured value 1;
Filter window adjusting module, for the first filter window value W 1gather W 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, calculate standard variance coefficient V according to described level intensity measured value σ 1; According to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the second filter window value W next time analyzing 2.
Another aspect of the present invention, provides a kind of filter window adjusting module, comprising:
The first calculating sub module, for calculating standard variance coefficient V according to described level intensity measured value σ 1;
The second calculating sub module, for according to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the filter window value W next time analyzing 2.
Signal fluctuation analytical method of the present invention, device and filter window adjusting module, according to the fluctuation of signal, dynamically adjust the filter window size that calculating mean value uses next time, thereby make the mean value next time calculating can reflect more accurately current demand signal situation.
Another aspect of the present invention, provides a kind of base station power control method, comprising: according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy; According to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and described the first power adjustment is sent to described base station.
Another aspect of the present invention, provides a kind of base station power control system, comprising: signal fluctuation analytical equipment, and for according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy; Output computation device, for according to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and sends to described base station by described the first power adjustment.
Base station power control method of the present invention and system, for the different user under same community, by distinguishing the rational filter window of choice of dynamical according to the residing different wireless environment of terminal, to obtain accurately in time reflecting that the mean value of each user's current wireless environment participates in power control judgement, thereby the filter window size of evading static configuration cannot meet under community the problem of user's request under different radio environment.
Another aspect of the present invention, provides a kind of base station switching control method, comprising: according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy; Judge whether to carry out base station switching according to the mean value obtaining and default handoff threshold value; In the time that needs carry out base station switching, described terminal is notified in the base station that must be switched to.
Another aspect of the present invention, provides a kind of base station handover control system, comprising: signal fluctuation analytical equipment, and for according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy; Switching control, for judging whether to carry out base station switching according to the mean value obtaining and default handoff threshold value; In the time that needs carry out base station switching, described terminal is notified in the base station that must be switched to.
Method for handover control of the present invention and system, for the different user under same community, by distinguishing the rational filter window of choice of dynamical according to the residing different wireless environment of terminal, to obtain accurately reflecting that the mean value of each user's current wireless environment participates in switch decision in time, thereby the filter window size of evading static configuration cannot meet under community the problem of user's request under different radio environment.
Accompanying drawing explanation
Fig. 1 is the flow chart of signal fluctuation analytical method embodiment of the present invention;
Fig. 2 is the structure chart of signal fluctuation analytical equipment embodiment of the present invention;
Fig. 3 is the structure chart of filter window adjusting module embodiment of the present invention;
Fig. 4 is the flow chart of base station power control method embodiment of the present invention;
Fig. 5 is the structure chart of base station power control system embodiment of the present invention;
Fig. 6 is the flow chart of base station power changing method embodiment of the present invention;
Fig. 7 is the structure chart of base station switched system embodiment of the present invention.
Embodiment
Relation between filter window size and signal averaging is as shown in table 1 below, all wherein to obtain (except arithmetic average according to arithmetic average, can also there be a variety of other average algorithms, such as weighted average, give the certain weight of each measured value, be generally that the up-to-date measured value weight of receiving is the highest, then each measured value be multiplied by weighted value and be averaging after adding up again again, the mean value obtaining so more lays particular emphasis on up-to-date wireless conditions.How weight is specifically set and can has diverse ways.No matter be to obtain mean value for arithmetic average, or obtain mean value for various weighted averages, can apply method of the present invention).
Table 1
Figure BDA00002678462300051
This line of measured value is the downlink signal levels value that mobile phone reports, and in upper table, mobile phone has been reported altogether 15 measured values.
This line explanation filter window of mean value (W=8) is fixedly made as 8, now after having collected 8 measured values, could produce a mean value-70dBm by these 8 measured values (sequence number 1～8), in the next moment, produce a mean value-71dBm by nearest 8 measured values (sequence number 2～9) again, by that analogy, can see, in the time that filter window is made as 8, there are two problems: the one, gather 8 measured values and just obtain the 1st mean value, therefore the speed that obtains initial mean value is slow, and this will directly affect follow-up judgement speed; The 2nd, the mean value obtaining is because the historical measurements of considering is too many, therefore can not accurately reflect current signal intensity, in this example, can see that the mean value obtaining is all very stable, remain on more than-70, differ larger with the actual conditions (being distributed between-54 to-90) of measured value;
Next to be respectively filter window be the mean value situation obtaining for 6,4,2 o'clock to several row, can find out, filter window is less, and the time that obtains the 1st mean value is shorter, and the mean value simultaneously obtaining more can reflect the situation of current measurement value, but also Just because of this, if filter window is too little, in fact just do not have the effect of filtering, once signal is undergone mutation yet, the mean value obtaining is just sudden change also, thereby can cause erroneous judgement.For example, in W=2, if power control interval is set as-85～-75, P/N is set as 2/3(when having 2 to exceed Upper threshold-75 in 3 nearest mean values, thinks that current demand signal is too strong, should fall power, when having 2 in 3 nearest mean values during lower than Lower Threshold-85, a little less than thinking that current demand signal too, should power per liter), can see, when sequence number is 4, due to front 3 mean values (55,-72,-89) in, there are 2 to be greater than Upper threshold-75, therefore be now just judged to be to fall power, and then when sequence number is 5, due to front 3 mean values (72,-89,-88) in, there are 2 to be less than Lower Threshold-85, just be judged to be to need power per liter, therefore just there is the situation of frequent operation, do not overcome sequence number 3, 4, the sudden change that 5 abnormal measured value brings, lose the meaning of filtering.
The present invention dynamically adjusts follow-up filter window size by considering the signal fluctuation situation of nearest several measured values, is applicable to big or small filter window, thereby reaches the object that quick and precisely obtains mean value according to the corresponding employing of the difference of signal fluctuation degree.Below in conjunction with accompanying drawing, the present invention is described in detail.
embodiment of the method one
As shown in Figure 1, signal fluctuation analytical method embodiment of the present invention comprises the following steps:
Step 102, with the first filter window value W 1gather W 1individual level intensity measured value;
Step 104, calculates W 1the first mean value AVE of individual level intensity measured value 1;
Step 106, compares default selection Parameter N and total number of the level intensity measured value collecting, and in the time that N is less than total number of level intensity measured value, selects N up-to-date level intensity measured value to calculate standard variance coefficient V σ 1; In the time that N is greater than total number of level intensity measured value, select all level intensity measured values to calculate standard variance coefficient V σ 1;
Standard variance coefficient is again relative standard deviation (relative standard deviation, RSD), for the standard variance of level intensity measured value and the ratio of its arithmetic mean selected, be called again the coefficient of variation (Coefficient of variation, C.V.), conventionally represent with percentage:
Figure BDA00002678462300061
wherein, s is the standard variance of N level intensity measured value, s = Σ ( x i - x ‾ ) 2 n - 1 , i = 1,2 , . . . . . . n , X ibe the i time measured value,
Figure BDA00002678462300063
for the arithmetic mean of N level intensity measured value;
Because the level measuring is all negative value, therefore, add individual absolute value for the mean value of denominator, use the absolute value of standard variance divided by mean value,
Figure BDA00002678462300064
Step 108, relatively the first standard variance coefficient V σ 1with predefined signal fluctuation Upper threshold TH up, work as V σ 1> TH uptime, execution step 112, works as V σ 1≤ TH uptime, execution step 110;
Step 110, relatively the first standard variance coefficient V σ 1with predefined signal fluctuation Lower Threshold TH lo, work as V σ 1< TH lotime, execution step 114, works as V σ 1>=TH lotime, execution step 116;
Step 112, calculates the second filter window value W 2=min (W 1+ INC, W max), wherein, INC is the step-length that at every turn increases filter window value, W maxfor predefined maximum filter window value;
Step 114, calculating the second filter window value is W 2=max (W 1-RED, W min), wherein, RED is the step-length that at every turn reduces filter window value, W minfor predefined minimum filter window value;
Step 116, by the first filter window value W 1as the second filter window value W 2;
Step 118, according to the second filter window value W 2gather W 2individual level intensity measured value;
Step 120, calculates W 2the second mean value AVE of individual level intensity measured value 2;
Step 122, compares default selection Parameter N and total number of the level intensity measured value collecting, and in the time that N is less than total number of level intensity measured value, selects N up-to-date level intensity measured value to calculate standard variance coefficient V σ 2; In the time that N is greater than total number of level intensity measured value, select all level intensity measured values to calculate standard variance coefficient V σ 2;
Step 124, relatively the second standard variance coefficient V σ 2with predefined signal fluctuation Upper threshold TH up, work as V σ 2> TH uptime, execution step 128, works as V σ 2≤ TH uptime, execution step 126;
Step 126, relatively the second standard variance coefficient V σ 2with predefined signal fluctuation Lower Threshold TH lo, work as V σ 2< TH lotime, execution step 130, works as V σ 2>=TH lotime, execution step 132;
Step 128, calculates the 3rd filter window value W 3=min (W 2+ INC, W max);
Step 130, calculating the 3rd filter window value is W 3=max (W 2-RED, W min);
Step 132, by the second filter window value W 2as the 3rd filter window value W 3;
When analysis each time, all recalculate the filter window value of next time analyzing, by that analogy.
Compared with prior art example in above-mentioned table one, each parameter of calculating according to the present embodiment is as shown in following table two.
Figure BDA00002678462300071
In this example, each parameter facilities is as follows:
Initial filter window value is 2, and filter window is at the beginning 2, is receiving that two measured values just start calculating mean value.
The measurement of calculating fluctuation is counted N parameter and is set to 3, calculate the standard variance coefficient of nearest 3 measurement reports as judge whether the filter window using changes next time, in upper table, sequence number is that 3 standard variance coefficient is 30% to be exactly that three measured values (54 ,-55 ,-89) that are 1,2,3 according to sequence number calculate and get, sequence number is that 4 standard variance coefficient is 25% to be exactly that three measured values (55 ,-89 ,-88) that are 2,3,4 according to sequence number calculate and get, by that analogy.Unique exception is that sequence number is that 2 primary standard coefficient of variation is to be 1 and 2 according to sequence number measured value calculates, and this is because of MIN(Winit, N)=2.
Signal fluctuation Upper threshold TH upparameter is set to 15%, and when this standard variance coefficient calculating is higher than 15% time, it is 1 that the filter window that calculates next mean value increases INC in this example of INC(on the basis of current filter window).
Signal fluctuation Lower Threshold TH loparameter is set to 5%, and when this standard variance coefficient calculating is lower than 5% time, it is 1 that the filter window that calculates next mean value reduces RED in this example of RED(on the basis of current filter window).
From the result of calculating, adopt the present invention, the mean value obtaining has also traced into the situation of the variation of signal in time, simultaneously the in the situation that of signal fluctuation, automatically be adjusted into larger filter window, the fluctuation of the sequence of average obtaining is the mean value fluctuation of 2 o'clock significantly better than filter window in prior art, does not send power per liter instruction because of the impact of of short duration power bust in two signal bust stages (sequence number 3-5, sequence number 10-12), has effectively overcome the fluctuation of signal.
Above-mentioned signal fluctuation analytical method embodiment, according to the fluctuation of signal, dynamically adjusts the filter window size that calculating mean value uses next time, thereby makes the mean value next time calculating can reflect more accurately current demand signal situation.
device embodiment
Based on said method embodiment mono-, the present invention also provides a kind of signal fluctuation analytical equipment, and as shown in Figure 2, this signal fluctuation analytical equipment embodiment comprises: acquisition module 21, fluction analysis module 22, filter window adjusting module 23.
Acquisition module, for according to window value W 1gather W 1individual level intensity measured value.
Fluction analysis module, for calculating W 1the first mean value AVE of individual level intensity measured value 1.
Filter window adjusting module, for the first filter window value W 1gather W 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, calculate standard variance coefficient V according to described level intensity measured value σ 1; According to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the second filter window value W next time analyzing 2.
As shown in Figure 3, filter window adjusting module embodiment specifically comprises: comparison sub-module 31, chooser module 32, the first calculating sub module 33, the second calculating sub module 34.
Comparison sub-module compares default selection Parameter N and total number of the level intensity measured value collecting.For in the time that N is less than total number of level intensity measured value, chooser module selects N up-to-date level intensity measured value to calculate standard variance coefficient V σ 1; In the time that N is greater than total number of level intensity measured value, chooser module selects all level intensity measured values to calculate standard variance coefficient V σ 1.The first calculating sub module compute level intensity measurements standard variance coefficient V σ 1.The second calculating sub module is according to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the filter window value W next time analyzing 2.
embodiment of the method two
The present invention is also applied in above-mentioned signal fluctuation analytical method in base station power control, and as shown in Figure 4, base station power control method embodiment of the present invention comprises:
Step 402, according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2;
Step 404, according to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy;
Step 406, according to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and sends to described base station by described the first power adjustment.
The computational methods of filter window value to describe in detail, do not repeat them here in said method embodiment mono-.
The Current Mechanism that switch base station power control and base station is N/P criterion, also only receiving after N mean value, this N mean value is compared with default thresholding, see if there is P above mean value and exceed this default thresholding, thereby drawing power control for the first time or switching judging, is exactly often to obtain a mean value just to do once judgement afterwards.
system embodiment one
Based on said method embodiment bis-, the present invention also provides a kind of base station power control system, and as shown in Figure 5, this system embodiment comprises: signal fluctuation analytical equipment 51 and output computation device 52.
Signal fluctuation analytical equipment is according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy.
Output computation device is according to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and described the first power adjustment is sent to described base station.Wherein, signal fluctuation analytical equipment is arranged in base station or base station controller.Output computation device is arranged in base station or base station controller.
Base station power control method of the present invention and system embodiment, for the different user under same community, by distinguishing the rational filter window of choice of dynamical according to the residing different wireless environment of terminal, to obtain accurately reflecting that the mean value of each user radio environment participates in power control or switch decision in time, thereby the filter window size of evading static configuration cannot meet under community the problem of user's request under different radio environment.
In real network, the level intensity of mobile phone for measuring downstream signal, the not open close measurement report of crossing sends to base station, base station sends to BSC by measured value again, BSC obtains mean value after the measured value of receiving is averaged, according to the situation of mean value judge current downstream signal be strong or a little less than, if by force, base station reduction transmitting power, if weak, base station rising transmitting power.
BSC is in averaging the measured value of receiving and obtaining mean value, also calculate the standard variance coefficient of nearest several measured values, judge that according to the standard variance coefficient obtaining whether current signal is steady, if standard variance coefficient is little, signal stabilization is described, BSC, with regard to calculating next mean value with less filter window, makes the next mean value obtaining can accurately reflect current signal strength signal intensity; If the standard variance coefficient obtaining is large, illustrate that current demand signal is unstable, there is fluctuation, BSC just calculates next mean value with larger filter window, makes the next mean value obtaining be unlikely to be subject to current jump signal impact and obtain sudden change value.
BSC carrys out continuous choose reasonable filter window according to current demand signal intensity like this, just can make the each mean value obtaining reflect more accurately actual conditions, thereby makes the judgement carried out according to mean value more accurate.
embodiment of the method three
The present invention is also applied in above-mentioned signal fluctuation analytical method base station power switches above, and as shown in Figure 6, this embodiment comprises the following steps:
Step 602, according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2;
Step 604, according to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy;
Step 606, judges whether to carry out base station switching according to the mean value obtaining and default handoff threshold value, and when needs carry out base station while switching, described terminal is notified in the base station that must be switched to.
system embodiment two
Based on said method embodiment tri-, the present invention also provides a kind of base station switched system, and as shown in Figure 7, this embodiment comprises: signal fluctuation analytical equipment 71 and switching control 72.
Signal fluctuation analytical equipment is according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy.
Switching control judges whether to carry out base station switching according to the mean value obtaining and default handoff threshold value; In the time that needs carry out base station switching, described terminal is notified in the base station that must be switched to.Need to average the field that obtains mean value to measured value and can be suitable for the technical program as long as relate to, from existing mobile communication technology, in all kinds of mobile communication system such as 2G/3G/4G, can use.
It should be noted that: above embodiment is only unrestricted in order to the present invention to be described, the present invention is also not limited in above-mentioned giving an example, and all do not depart from technical scheme and the improvement thereof of the spirit and scope of the present invention, and it all should be encompassed in claim scope of the present invention.

Claims (12)

1. a signal fluctuation analytical method, is characterized in that, comprising:
With the first filter window value W 1gather W 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, calculate standard variance coefficient V according to described level intensity measured value σ 1;
According to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the second filter window value W next time analyzing 2;
According to described the second filter window value W 2gather W 2individual level intensity measured value, calculates W 2the second mean value AVE of individual level intensity measured value 2, and calculate the 3rd filter window value W next time analyzing again 3;
When analysis each time, all recalculate the filter window value of next time analyzing, by that analogy.
2. method according to claim 1, is characterized in that, calculates standard variance coefficient V according to described level intensity measured value σ 1comprise:
Default selection Parameter N and total number of the level intensity measured value collecting are compared, in the time that N is less than total number of level intensity measured value, select N up-to-date level intensity measured value to calculate standard variance coefficient V σ 1;
In the time that N is greater than total number of level intensity measured value, select all level intensity measured values to calculate standard variance coefficient V σ 1.
3. method according to claim 1, is characterized in that, according to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH lodetermine the second filter window value W next time analyzing 2comprise:
Work as TH lo≤ V σ 1≤ TH uptime, by described the first filter window value W 1as the second filter window value W 2;
Work as V σ 1> TH uptime, calculate the second filter window value W 2=min (W 1+ INC, W max), wherein, INC is the step-length that at every turn increases filter window value, W maxfor predefined maximum filter window value;
Work as V σ 1< TH lotime, calculating the second filter window value is W 2=max (W 1-RED, W min), wherein, RED is the step-length that at every turn reduces filter window value, W minfor predefined minimum filter window value.
4. a filter window adjusting module, is characterized in that, comprising:
The first calculating sub module, for calculating standard variance coefficient V according to described level intensity measured value σ 1;
The second calculating sub module, for according to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the filter window value W next time analyzing 2.
5. filter window adjusting module according to claim 4, is characterized in that, also comprises
Comparison sub-module, for comparing default selection Parameter N and total number of the level intensity measured value collecting;
Chooser module, when being less than total number of level intensity measured value as N, selects N up-to-date level intensity measured value to calculate standard variance coefficient V σ 1; In the time that N is greater than total number of level intensity measured value, select all level intensity measured values to calculate standard variance coefficient V σ 1.
6. filter window adjusting module according to claim 4, is characterized in that, described the second calculating sub module, for working as TH lo≤ V σ 1≤ TH uptime, by described the first filter window value W 1as the second filter window value W 2; Work as V σ 1> TH uptime, calculate the second filter window value W 2=min (W 1+ INC, W max), wherein, INC is the step-length that at every turn increases filter window value, W maxfor predefined maximum filter window value; Work as V σ 1< TH lotime, calculating the second filter window value is W 2=max (W 1-RED, W min), wherein, RED is the step-length that at every turn reduces filter window value, W minfor predefined minimum filter window value.
7. a signal fluctuation analytical equipment, is characterized in that, comprising:
Acquisition module, for according to the first filter window value W 1gather W 1individual level intensity measured value;
Fluction analysis module, for calculating W 1the first mean value AVE of individual level intensity measured value 1;
Filter window adjusting module, for the first filter window value W 1gather W 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, calculate standard variance coefficient V according to described level intensity measured value σ 1; According to described standard variance coefficient V σ 1, predefined signal fluctuation Upper threshold TH upand signal fluctuation Lower Threshold TH localculate the second filter window value W next time analyzing 2.
8. a base station power control method, is characterized in that, comprising:
According to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2;
According to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy;
According to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and described the first power adjustment is sent to described base station.
9. a base station power control system, is characterized in that, comprising:
Signal fluctuation analytical equipment, for according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 3, by that analogy;
Output computation device, for according to the first power adjustment of obtained each mean value and default power control threshold value calculation base station, and sends to described base station by described the first power adjustment.
10. system according to claim 9, is characterized in that, described signal fluctuation analytical equipment is arranged in base station or base station controller; Described output computation device is arranged in base station or base station controller.
11. 1 kinds of base station switch methods, is characterized in that, comprising:
According to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2;
According to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy;
Judge whether to carry out base station switching according to the mean value obtaining and default handoff threshold value;
In the time that needs carry out base station switching, described terminal is notified in the base station that must be switched to.
12. 1 kinds of base station switched systems, is characterized in that, comprising:
Signal fluctuation analytical equipment, for according to the first filter window value W 1acquisition terminal is measured the W of downstream signal 1individual level intensity measured value, calculates W 1the first mean value AVE of individual level intensity measured value 1, and calculate the second filter window value W next time analyzing 2; According to described the second filter window value W 2calculate W 2the second mean value AVE of individual level intensity measured value 2and the 3rd filter window value W next time analyzing again 3, by that analogy;
Switching control, for judging whether to carry out base station switching according to the mean value obtaining and default handoff threshold value; In the time that needs carry out base station switching, described terminal is notified in the base station that must be switched to.
CN201210587680.2A 2012-12-28 2012-12-28 A kind of signal fluctuation analysis method, apparatus and system Active CN103906149B (en)

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