CN103888991A - Wireless network state acquiring method, device and system - Google Patents

Wireless network state acquiring method, device and system Download PDF

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Publication number
CN103888991A
CN103888991A CN201210566586.9A CN201210566586A CN103888991A CN 103888991 A CN103888991 A CN 103888991A CN 201210566586 A CN201210566586 A CN 201210566586A CN 103888991 A CN103888991 A CN 103888991A
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time slot
occupancy rate
slot occupancy
community
cell downlink
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CN103888991B (en
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李英奇
梅承力
王燕蒙
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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Abstract

The invention discloses a wireless network state acquiring method, device and system, and relates to the technical field of a wireless network. The method comprises the steps that according to the historical data of the cell time slot occupancy rate and the cell downlink rate, the proportional relationship between the cell time slot occupancy rate and the cell downlink rate in the current period is estimated; and based on the proportional relationship between the cell time slot occupancy rate and the cell downlink rate in the current period, the current cell time slot occupancy rate is calculated according to the current cell downlink rate detected by DPI. According to the method, device and system, which are provided by the invention, the network state sensing system architecture of the existing network state information source is combined; without changing the function of a wireless network device, real-time and accurate network state sensing is realized; and the accuracy and the timeliness of the network state sensing ability are improved.

Description

Wireless network state acquiring method, device and system
Technical field
The present invention relates to radio network technique field, particularly a kind of wireless network state acquiring method, device and system.
Background technology
Mobile communications network is at 3G(3 rdgeneration, 3-G (Generation Three mobile communication system)) epoch start to introduce the policy control mechanism based on stream.Adopted after this policy control architecture, network possesses the ability of user and business being carried out to policy control.Formulate corresponding strategies by user and network service information, for different user and service dynamic provide strategy, configure corresponding bearing resource.Policy control can be based on the signing strategy of user, based on upper-layer service apply property, charging policy based on user or based on roaming strategy etc.Policy control rule entity can be realized effective management and the enforcement to customer service quality and charging by these strategies of integrated treatment, for Operator Specific Service management and control is experienced and brought benefit with raising user.
Existing PCC(strategy and charging control) technology is mainly by user signing contract information, and the information such as business information and roaming state are determined the control strategy of network.Referring to Fig. 1, PCRF(strategy and control function) 11 by SPR(subscriber policy data) 12 obtain alternately the relevant CAMEL-Subscription-Information of subscriber policy, obtain alternately AF(application function with Rx) information of 14 traffic aided, can provide the strategy of the carrying based on user's with based on business for user in conjunction with the network user's the information such as roaming state, position time.The PCEF/PDSN(policy control that is handed down to gateway by Gx interface is carried out function) the corresponding strategy of entity 13 execution.
But, current policy-source is mainly from core net and service layer, the virtual condition information of wireless network, the not perception of the situation such as load and disposal ability network of base station cell, the strategy of core net and service layer is not comprehensively accurately, the PCRF actual state that is and does not know wireless network of generating strategy, causes strategy under certain situation cannot carry out or the low-down problem of execution efficiency.For example, wireless network is congested, or excess load of the disposal ability of wireless device, now should limited subscriber or business set up new carrying, or at least should reduce quality of service, but because PCRF cannot obtain radio network information, also just cannot make correct strategy, the tactful result of doing can only be to carry out or to have reduced network efficiency.
At present, there is the mode of several different methods cognitive radio community busy-idle condition, collection network state, mainly comprising wireless network network management information and adopt DPI(Deep PacketInspection, deep-packet detection at core network interface) mode obtains wireless area state information:
(1) network management data can provide multiple wireless parameter, but the mean value of (being generally one hour) in collection period can only be provided.And device statistics, calculating need certain hour, cannot reflect the real-time status of wireless network.
(2) DPI data can fast reaction community real-time traffic, but does not comprise wireless parameter, cannot understand community actual load situation.
In correlation technique, propose upgrading base station equipment function, make it report wireless area state to core net in real time, and the policy development for PCRF by this information.This scheme need to be transformed a large amount of base station equipments, relates to different producer non-standard interface docking problem simultaneously, and difficulty is larger.
Summary of the invention
The present inventor finds to have problems in above-mentioned prior art, and has therefore proposed a kind of new technical scheme at least one problem in described problem.
An object of the present invention is to provide a kind of technical scheme of obtaining for wireless network state.
According to a first aspect of the invention, provide a kind of wireless network state acquiring method, having comprised: regularly gather wireless network status data from wireless webmaster, described wireless network status data has comprised community Time Slot Occupancy rate; The cell downlink speed data that quasi real time collection deep-packet detection DPI detects; According to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed; Based on proportionate relationship between Time Slot Occupancy rate in community in described current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
Alternatively, the method also comprises: determine the current busy-idle condition in community according to described current area Time Slot Occupancy rate.
Alternatively, according in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed between community Time Slot Occupancy rate and cell downlink speed proportionate relationship comprise:
Adopt exponential smoothing algorithm, support vector machines algorithm or ARIMA regression algorithm according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed.
Alternatively, gather wireless network status data with hour granularity period from wireless webmaster, with the cell downlink speed data that minute granularity quasi real time collection DPI detects.
Alternatively, wireless network status data also comprises community equivalent user number, front reverse flow.
Alternatively, adopt exponential smoothing algorithm according in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed between community Time Slot Occupancy rate and cell downlink speed proportionate relationship ratio (n+1) be:
ratio(n+1)=α×ratio(n)+α×(1-α)×ratio(n-167)+(1-α) 2×ratio(n-335)
Wherein, the proportionate relationship in ratio (n) last cycle, the proportionate relationship of ratio (n-167) same time before one week, the proportionate relationship of ratio (n-335) same time before two weeks, α is weight parameter, value (0,1).
According to a further aspect in the invention, provide a kind of wireless network state acquisition device, comprising: network management data acquiring unit, for regularly gathering wireless network status data from wireless webmaster, described wireless network status data comprises community Time Slot Occupancy rate; Downstream rate acquiring unit, the cell downlink speed data detecting for quasi real time collection deep-packet detection DPI; Proportionate relationship determining unit, for according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed; Time Slot Occupancy rate computing unit, for based on proportionate relationship between Time Slot Occupancy rate in community in described current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
Alternatively, this device also comprises: cell status determining unit, and for determining the current busy-idle condition in community according to described current area Time Slot Occupancy rate.
Alternatively, proportionate relationship determining unit adopts exponential smoothing algorithm, SVM algorithm or ARIMA regression algorithm according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed.
Alternatively, network management data acquiring unit gathers wireless network status data with hour granularity period from wireless webmaster, and described downstream rate acquiring unit is with cell downlink speed data that minute granularity quasi real time collection DPI detects.
Alternatively, proportionate relationship determining unit according to following formula according in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed between community Time Slot Occupancy rate and cell downlink speed proportionate relationship ratio (n+1) be:
ratio(n+1)=α×ratio(n)+α×(1-α)×ratio(n-167)+(1-α) 2×ratio(n-335)
Wherein, the proportionate relationship in ratio (n) last cycle, the proportionate relationship of ratio (n-167) same time before one week, the proportionate relationship of ratio (n-335) same time before two weeks, α is weight parameter, value (0,1).
According to another aspect of the invention, provide a kind of wireless network state obtaining system, comprise above-mentioned wireless network state acquisition device, and wireless webmaster, and block domain data collecting device; Wherein, described wireless network pipe is used for obtaining wireless network status data; The cell downlink speed data that described block domain data collecting device goes out for deep-packet detection DPI.
An advantage of the present invention is, comprehensive wireless webmaster and DPI network status data, based on the corresponding relation between historical data estimation current data, thereby obtain current area Time Slot Occupancy rate according to current area downstream rate, data mutual calibration, not changing under the prerequisite of wireless network base station, reflect in real time, exactly the busy-idle condition of wireless area.
By the detailed description to exemplary embodiment of the present invention referring to accompanying drawing, it is clear that further feature of the present invention and advantage thereof will become.
Brief description of the drawings
The accompanying drawing that forms a part for specification has been described embodiments of the invention, and together with the description for explaining principle of the present invention.
With reference to accompanying drawing, according to detailed description below, can more be expressly understood the present invention, wherein:
Fig. 1 illustrates PCC configuration diagram.
Fig. 2 illustrates according to the flow chart of wireless network state acquiring method of the present invention embodiment.
Fig. 3 illustrate according to wireless network state obtaining system of the present invention embodiment structure chart.
Fig. 4 illustrates according to the flow chart of another embodiment of wireless network state acquiring method of the present invention.
Fig. 5 illustrates according to the structure chart of network state acquisition device of the present invention embodiment.
Fig. 6 illustrates according to the structure chart of another embodiment of network state acquisition device of the present invention.
Embodiment
Describe various exemplary embodiment of the present invention in detail now with reference to accompanying drawing.It should be noted that: unless illustrate in addition, the parts of setting forth in these embodiments and positioned opposite, numeral expression formula and the numerical value of step do not limit the scope of the invention.
, it should be understood that for convenience of description, the size of the various piece shown in accompanying drawing is not to draw according to actual proportionate relationship meanwhile.
Illustrative to the description only actually of at least one exemplary embodiment below, never as any restriction to the present invention and application or use.
May not discuss in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but in suitable situation, described technology, method and apparatus should be regarded as authorizing a part for specification.
In all examples with discussing shown here, it is exemplary that any occurrence should be construed as merely, instead of as restriction.Therefore, other example of exemplary embodiment can have different values.
It should be noted that: in similar label and letter accompanying drawing below, represent similar terms, therefore, once be defined in an a certain Xiang Yi accompanying drawing, in accompanying drawing subsequently, do not need it to be further discussed.
Fig. 2 illustrates according to the flow chart of wireless network state acquiring method of the present invention embodiment.
As shown in Figure 2, step 202, regularly gathers wireless network status data from wireless webmaster, and wireless network status data for example comprises community Time Slot Occupancy rate, community equivalent user number, front reverse flow etc.As required and the disposal ability of wireless webmaster, collection period is a hour granularity, for example, be half an hour, one hour, one and a half hours etc.
Step 204, the cell downlink speed data that quasi real time collection DPI detects.Block domain data collecting device, taking minute granularity as the cycle, for example 5 minutes, 10 minutes etc., carries out data acquisition.
Step 206, according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of community Time Slot Occupancy rate and cell downlink speed.For example, adopt exponential smoothing algorithm, SVM(Support Vector Machine, SVMs) algorithm or ARIMA(Autoregressive Integrated Moving Average Model, difference ARMA model) regression algorithm carries out the estimation of proportionate relationship.
Step 208, based on proportionate relationship between Time Slot Occupancy rate in community in current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
In above-described embodiment, comprehensive wireless webmaster and DPI network status data, based on the corresponding relation between historical data estimation current data, thereby obtain current area Time Slot Occupancy rate according to current area downstream rate, data mutual calibration, not changing under the prerequisite of wireless network base station, reflect in real time, exactly the busy-idle condition of wireless area.
Fig. 3 illustrate according to wireless network state obtaining system of the present invention embodiment structure chart.As shown in Figure 3, the network status data that the comprehensive block domain data collecting device of network state analytical equipment (DPI) 32 and wireless webmaster 33 provide, analyzes network state.
The for example output taking a hour granularity (as a hour) as the cycle of wireless webmaster 33: the status datas such as community equivalent user number, front reverse flow, average time slot occupancy.
The for example output taking a minute granularity (as 5 minutes) as the cycle of block domain data collecting device 32: reverse data flow before each user in wireless area, cell downlink data rate=data traffic/timing statistics, reflects reverse flow and speed before this community.
Network state analytical equipment 31 by the hour granularity gathers wireless network management data, gathers by minute granularity the cell downlink speed data that DPI detects.Adopt the corresponding relation between the cell downlink speed that exponential smoothing algorithm determines that " current hour this community " Time Slot Occupancy rate and dpi detect according to above-mentioned two historical datas.According to above-mentioned relation, the data on flows detecting with dpi calculates real-time community Time Slot Occupancy rate, judges the busy degree of community.
In above-described embodiment, carry out integrated correction in conjunction with multiple types data, in the situation that does not need extra cell capacity data, symbolize the situation such as wireless environment, customer location, can accurately calculate in real time the current Time Slot Occupancy rate in community, accurately characterize the busy-idle condition of wireless network.Scheme is changed and is required littlely existing network, does not need wireless base station device upgrading, workable.
Fig. 4 illustrates according to the flow chart of another embodiment of wireless network state acquiring method of the present invention.
As shown in Figure 4, step 402, establishing front n the Time Slot Occupancy rate in hour network management data is slot_omc.The Time Slot Occupancy rate historical data of exporting from webmaster (for example, mean value of output per hour) leave in sequence slot_omc, slot_omc is an One-dimension Time Series that length is n, and slot_omc (i) is the value of each sampled point in cell history data.
Step 404, calculates the front n average discharge dataRate_dpi of individual hour in DPI data on flows.By in DPI data on flows, same community n hourly average flow historical data leaves in sequence dataRate_dpi, and length is n.
Step 406, historical data i=1, to n, is calculated to ratio (i) successively:
ratio(i)=slot_omc(i)/dataRate_dpi(i);
Wherein, ratio sequence length is n.
Step 408, is used exponential smoothing algorithm to estimate current Time Slot Occupancy rate and the ratio of flow:
ratio(n+1)=α×ratio(n)+α×(1-α)×ratio(n-167)+(1-α) 2×ratio(n-335) (1)
Wherein, ratio (n) ratio of last hour, the ratio of ratio (n-167) same time before one week, the ratio of ratio (n-335) same time before two weeks, α is weight parameter, value (0,1);
Step 410, the current downstream rate data dataRate × ratio (n+1) that uses DPI to detect can calculate the approximate Time Slot Occupancy rate slot of community current time.
Step 412, judges whether slot>70%, if slot>70%, this community is current busy, otherwise is not busy, output community current state (step 414).According to network O&M practical experience, an evdo community single frequency point heap(ed) capacity speed 3.1mbps.But, because the average size of customer location and wireless environment only has 1.2mbps.In the time that network traffics are greater than 960kbps, this frequency is for busy, and under average modulation algorithm, when 960kbps, Time Slot Occupancy rate is 70% left and right based on experience value.
Then, this process that circulates after entering next hour, carries out exponential smoothing estimation to the ratio of this hour.
In above-described embodiment, proposed the network status data calibration based on historical data, exponential smoothing algorithm, comprehensive analysis process and method, by exponential smoothing algorithm, estimate current Time Slot Occupancy rate and the ratio of flow preferably.
Embodiment important technology point is according to the corresponding relation between historical data data estimator herein, then, according to this corresponding relation and current downstream rate data, can obtain quickly current Time Slot Occupancy rate.Based on basic thought of the present invention and with reference to the instruction of figure 4 embodiment, those skilled in the art should realize and adopt SVM algorithm or ARIMA regression algorithm to carry out the estimation of proportionate relationship.
Can select different length n according to the difference of algorithm, for example, in Arima algorithm, n is no more than 5 conventionally, and exponential smoothing algorithm is selected n=3, and SVM algorithm n can be 7 or more.
Fig. 5 illustrates according to the structure chart of network state acquisition device of the present invention embodiment.As shown in Figure 5, this device comprises:
Network management data acquiring unit 51, for regularly gathering wireless network status data from wireless webmaster, wireless network status data comprises community Time Slot Occupancy rate;
Downstream rate acquiring unit 52, the cell downlink speed data detecting for quasi real time collection deep-packet detection DPI;
Proportionate relationship determining unit 53, for according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed;
Time Slot Occupancy rate computing unit 54, for based on proportionate relationship between Time Slot Occupancy rate in community in described current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
In one embodiment, proportionate relationship determining unit adopts exponential smoothing algorithm, SVM algorithm or ARIMA regression algorithm according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of community Time Slot Occupancy rate and cell downlink speed.In one embodiment, network management data acquiring unit gathers wireless network status data with hour granularity period from wireless webmaster, and downstream rate acquiring unit is with cell downlink speed data that minute granularity quasi real time collection DPI detects.
In one embodiment, proportionate relationship determining unit according to formula (1) according to proportionate relationship ratio (n+1) between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of community Time Slot Occupancy rate and cell downlink speed.
Fig. 6 illustrates according to the structure chart of another embodiment of network state acquisition device of the present invention.As shown in Figure 6, this device comprises network management data acquiring unit 51, downstream rate acquiring unit 52, proportionate relationship determining unit 53, Time Slot Occupancy rate computing unit 54 and cell status determining unit 65.Wherein, cell status determining unit 65 is determined the current busy-idle condition in community according to current area Time Slot Occupancy rate.For example, cell status determining unit 65 judges whether >70% of current area Time Slot Occupancy rate slot, if slot>70%, this community is current busy, otherwise be the spare time.
Scheme in the embodiment of the present invention, in conjunction with the network state sensory perceptual system framework in existing network state information source (webmaster and DPI data acquisition equipment), do not changing under the prerequisite of wireless network functions of the equipments, realize sensing network state real-time and accurately, improve accuracy and the real-time of network state perception.
So far, described in detail according to wireless network state acquiring method of the present invention, system and device.For fear of covering design of the present invention, details more known in the field are not described.Those skilled in the art, according to description above, can understand how to implement technical scheme disclosed herein completely.
May realize in many ways method and system of the present invention.For example, can realize method and system of the present invention by any combination of software, hardware, firmware or software, hardware, firmware.The said sequence that is used for the step of described method is only in order to describe, and the step of method of the present invention is not limited to above specifically described order, unless otherwise specified.In addition, in certain embodiments, can be also the program being recorded in recording medium by the invention process, these programs comprise the machine readable instructions for realizing the method according to this invention.Thereby the present invention also covers the recording medium of storing the program for carrying out the method according to this invention.
Although specific embodiments more of the present invention are had been described in detail by example, it should be appreciated by those skilled in the art, above example is only in order to describe, instead of in order to limit the scope of the invention.It should be appreciated by those skilled in the art, can without departing from the scope and spirit of the present invention, above embodiment be modified.Scope of the present invention is limited by claims.

Claims (12)

1. a wireless network state acquiring method, is characterized in that, comprising:
Regularly gather wireless network status data from wireless webmaster, described wireless network status data comprises community Time Slot Occupancy rate;
The cell downlink speed data that quasi real time collection deep-packet detection DPI detects;
According to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed;
Based on proportionate relationship between Time Slot Occupancy rate in community in described current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
2. method according to claim 1, is characterized in that, also comprises:
Determine the current busy-idle condition in community according to described current area Time Slot Occupancy rate.
3. method according to claim 1, is characterized in that, in the described estimation of the historical data according to described community Time Slot Occupancy rate and described cell downlink speed current period, between community Time Slot Occupancy rate and cell downlink speed, proportionate relationship comprises:
Adopt exponential smoothing algorithm, support vector machines algorithm or ARIMA regression algorithm according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed.
4. method according to claim 3, it is characterized in that, described employing exponential smoothing algorithm according in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed between community Time Slot Occupancy rate and cell downlink speed proportionate relationship ratio (n+1) be:
ratio(n+1)=α×ratio(n)+α×(1-α)×ratio(n-167)+(1-α) 2×ratio(n-335)
Wherein, the proportionate relationship in ratio (n) last cycle, the proportionate relationship of ratio (n-167) same time before one week, the proportionate relationship of ratio (n-335) same time before two weeks, α is weight parameter, value (0,1).
5. method according to claim 1, is characterized in that, gathers wireless network status data with hour granularity period from wireless webmaster, with the cell downlink speed data that minute granularity quasi real time collection DPI detects.
6. method according to claim 1, is characterized in that, described wireless network status data also comprises community equivalent user number, front reverse flow.
7. a wireless network state acquisition device, is characterized in that, comprising:
Network management data acquiring unit, for regularly gathering wireless network status data from wireless webmaster, described wireless network status data comprises community Time Slot Occupancy rate;
Downstream rate acquiring unit, the cell downlink speed data detecting for quasi real time collection deep-packet detection DPI;
Proportionate relationship determining unit, for according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed;
Time Slot Occupancy rate computing unit, for based on proportionate relationship between Time Slot Occupancy rate in community in described current period and cell downlink speed, the current area downstream rate detecting according to DPI, calculates current area Time Slot Occupancy rate.
8. device according to claim 7, is characterized in that, also comprises:
Cell status determining unit, for determining the current busy-idle condition in community according to described current area Time Slot Occupancy rate.
9. device according to claim 7, it is characterized in that, described proportionate relationship determining unit adopts exponential smoothing algorithm, SVM algorithm or ARIMA regression algorithm according to proportionate relationship between community Time Slot Occupancy rate and cell downlink speed in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed.
10. device according to claim 9, it is characterized in that, described proportionate relationship determining unit according to following formula according in the historical data estimation current period of described community Time Slot Occupancy rate and described cell downlink speed between community Time Slot Occupancy rate and cell downlink speed proportionate relationship ratio (n+1) be:
ratio(n+1)=α×ratio(n)+α×(1-α)×ratio(n-167)+(1-α) 2×ratio(n-335)
Wherein, the proportionate relationship in ratio (n) last cycle, the proportionate relationship of ratio (n-167) same time before one week, the proportionate relationship of ratio (n-335) same time before two weeks, α is weight parameter, value (0,1).
11. devices according to claim 7, it is characterized in that, described network management data acquiring unit gathers wireless network status data with hour granularity period from wireless webmaster, and described downstream rate acquiring unit is with cell downlink speed data that minute granularity quasi real time collection DPI detects.
12. 1 kinds of wireless network state obtaining systems, is characterized in that, comprise the wireless network state acquisition device as described in any one in claim 7 to 11, and wireless webmaster, and block domain data collecting device;
Wherein, described wireless network pipe is used for obtaining wireless network status data;
The cell downlink speed data that described block domain data collecting device goes out for deep-packet detection DPI.
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