CN105307212B - A kind of processing method of base station data on flows and base station - Google Patents
A kind of processing method of base station data on flows and base station Download PDFInfo
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- CN105307212B CN105307212B CN201510601280.6A CN201510601280A CN105307212B CN 105307212 B CN105307212 B CN 105307212B CN 201510601280 A CN201510601280 A CN 201510601280A CN 105307212 B CN105307212 B CN 105307212B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/10—Flow control between communication endpoints
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Abstract
The embodiment of the invention discloses a kind of processing method of base station data on flows and base stations, comprising: analyzes the data on flows in set period to obtain the corresponding flow rate mode of set period in base station；Base station determines the corresponding peak flow probability of happening of flow rate mode；If judging, the peak flow probability of happening is greater than predetermined probabilities threshold value, and base station determines the tardy probability of happening of data according to the peak flow probability of happening；It is wrapped to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration base station, source inhibits packet to be used to indicate mobile terminal in the case where detecting the presence of data packet needs transmission, executes the operation postponed preset interval duration and send data packet with the tardy probability of happening of data.Using the embodiment of the present invention, be conducive to the data traffic peak value treatment effeciency for promoting base station, avoid abandoning datagram, promotes mobile terminal user's experience.
Description
Technical field
The present invention relates to the processing methods and base station of technical field of electronic equipment more particularly to a kind of base station data on flows.
Background technique
Single base station of LTE/mono- contained fan peak rate reaches 10 times of NodeB or more, and peak rate is mean value speed
4-6 times of rate.It is compared with 3G, it is easier to congestion occur.Existing congestion control scheme is taken in base station side, core-network side
Business quality (Quality of Service, QoS) QoS control, the queue of stratification is executed for different base station and different business
Dispatching, it is ensured that significant base stations and significant data it is unimpeded.
Above-mentioned to carry out in QoS control to base station side, core-network side, maintenance personnel needs to upgrade base station, core network element
Logic, and will be by largely testing, the period is long, heavy workload.Simultaneously as peak value is objective reality, it is originated from a large amount of mobile
Terminal passes through the online demand of cellular network, and QoS controls the transmission that can only guarantee significant data, and cost is active barrage, abandons
The lower flow of priority, this, which will cause, abandons a part of data packet, influences the user experience of terminal side.
Summary of the invention
The present invention provides processing method and the base station of a kind of base station data on flows, to promote the data traffic peak value of base station
Treatment effeciency avoids abandoning datagram, promotes mobile terminal user's experience.
First aspect of the embodiment of the present invention provides a kind of processing method of base station data on flows, comprising:
The data on flows in set period is analyzed to obtain the corresponding flow rate mode of the set period in base station；
The base station determines the corresponding peak flow probability of happening of the flow rate mode；
If judging, the peak flow probability of happening is greater than predetermined probabilities threshold value, and the base station is according to the flow peak
The value probability of happening determines the tardy probability of happening of data；
The base station inhibits to mobile terminal broadcast including the source of the tardy probability of happening of the data and preset interval duration
Packet, the source inhibits packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with described
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
In the first possible implementation of first aspect of the embodiment of the present invention, in the base station analysis set period
Data on flows to obtain the corresponding flow rate mode of the set period, comprising:
The data on flows in set period that the base station analysis obtains is to generate the corresponding statistical number of the data on flows
According to the statistical data based on generation generates the corresponding flow rate mode of the set period, wherein the statistical data is at least
Including any one in flow average value, flow variance, flow deviation, the big period accounting of flow, the small period accounting of flow.
In conjunction with the possible implementation of the first of first aspect of the embodiment of the present invention or first aspect of the embodiment of the present invention,
In second of possible implementation of first aspect of the embodiment of the present invention, the base station determines that the flow rate mode is corresponding
The peak flow probability of happening, comprising:
The base station obtains and the matched M kind history same period flow rate mode of the set period and the M kind history same period
The M peak flow probability of happening of flow rate mode, the M are positive integer；
It is described that the base station, which matches i-th of peak flow probability of happening in the M peak flow probability of happening,
The peak flow probability of happening of flow rate mode, the i are the positive integer less than or equal to the M.
In conjunction with second of possible implementation of first aspect of the embodiment of the present invention, in first aspect of the embodiment of the present invention
The third possible implementation in, the base station obtains and the matched M kind history same period flow rate mode of the set period
With the M peak flow probability of happening of the M kind history same period flow rate mode, comprising:
N number of history same period data on flows with the set period matched N number of period history same period is extracted in the base station,
And create between X history same period data on flows and peak flow event in N number of history same period data on flows first
Mapping relations, the peak flow event refer to that any one history of the base station in the X history period same period is same
The flow value of acquired data on flows is greater than preset flow threshold value after period phase, and the N is the positive integer greater than the M,
The X is the positive integer less than or equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, by the N group statistical number in the base station
According to being divided into M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data,
And the Data Matching degree of any two groups of statistical data of the multiple groups statistical data in the same data acquisition system is greater than preset threshold；
The base station generates the M kind history same period flow rate mode of the base station based on the M data acquisition system, and is based on institute
M data acquisition system and first mapping relations are stated, the M peak flow thing with the M kind history same period flow rate mode is calculated
Part probability.
In conjunction with the third possible implementation of first aspect of the embodiment of the present invention, in first aspect of the embodiment of the present invention
In 4th kind of possible implementation, the base station determines the tardy probability of happening of data according to the peak flow probability of happening,
Include:
It is closed according to the second mapping between the peak flow probability of happening prestored and the tardy probability of happening of data the base station
System and the peak flow probability of happening, determine the corresponding tardy probability of happening of data of the peak flow probability of happening,
In, second mapping relations are proportional relationship.
Second aspect of the embodiment of the present invention provides a kind of base station, comprising:
Analytical unit, for analyzing the data on flows in set period to obtain the corresponding flow mould of the set period
Formula；
Determination unit, the corresponding peak flow event of the flow rate mode for determining that the analytical unit obtains are general
Rate；
The determination unit, if being also used to judge, the peak flow probability of happening is greater than predetermined probabilities threshold value, root
The tardy probability of happening of data is determined according to the peak flow probability of happening；
Transmission unit, for including the source of the data tardy probability of happening and preset interval duration to mobile terminal broadcast
Inhibition packet, the source inhibit packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
In the first possible implementation of second aspect of the embodiment of the present invention, the analytical unit is specifically used for:
Data on flows in the set period of acquisition is to generate the corresponding statistical data of the data on flows, based on generation
The statistical data generates the corresponding flow rate mode of the set period, wherein the statistical data is average including at least flow
Value, flow variance, flow deviation, the big period accounting of flow, any one in the small period accounting of flow.
In conjunction with the possible implementation of the first of second aspect of the embodiment of the present invention or second aspect of the embodiment of the present invention,
In second of possible implementation of second aspect of the embodiment of the present invention, the determination unit includes:
Acquiring unit, for obtaining and the matched M kind history same period flow rate mode of the set period and the M kind history
The M peak flow probability of happening of same period flow rate mode, the M are positive integer；
Matching unit, i-th of peak flow probability of happening for matching in the M peak flow probability of happening are
The peak flow probability of happening of the flow rate mode, the i are the positive integer less than or equal to the M.
In conjunction with second of possible implementation of second aspect of the embodiment of the present invention, in second aspect of the embodiment of the present invention
The third possible implementation in, the acquiring unit is specifically used for:
N number of history same period data on flows with the set period matched N number of period history same period is extracted, and creates institute
X history same period data on flows in N number of history same period data on flows and the first mapping relations between peak flow event are stated,
The peak flow event referred to after any one history period same period of the base station in the X history period same period
The flow value of acquired data on flows is greater than preset flow threshold value, and the N is positive integer greater than the M, the X be less than
Or the positive integer equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, the N group statistical data is divided into M
Data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data, and same
The Data Matching degree of any two groups of statistical data of multiple groups statistical data in data acquisition system is greater than preset threshold；
The M kind history same period flow rate mode of the base station is generated based on the M data acquisition system, and is based on the M number
According to set and first mapping relations, the M peak flow probability of happening with the M kind history same period flow rate mode is calculated.
In conjunction with the third possible implementation of second aspect of the embodiment of the present invention, in second aspect of the embodiment of the present invention
In 4th kind of possible implementation, the determination unit determines that the tardy event of data is general according to the peak flow probability of happening
The concrete mode of rate are as follows:
According to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, Yi Jisuo
The peak flow probability of happening is stated, determines the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein described
Two mapping relations are proportional relationship.
Implement the embodiment of the present invention, it is corresponding to obtain set period that the data on flows in set period is analyzed in base station first
Flow rate mode secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging that peak flow event is general
In the case that rate is greater than predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening, finally, to shifting
Dynamic terminal broadcast includes the source inhibition packet of the tardy probability of happening of data and preset interval duration, and mobile terminal is receiving source suppression
System packet after, mobile terminal can detect the presence of data packet need send in the case where, with the tardy probability of happening of data
It executes and postpones the operation that preset interval duration sends data packet, the mobile end in the Sector Range of same period base station can be reduced
End sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids abandoning datagram, mention
Rise mobile terminal user's experience.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for this field
For those of ordinary skill, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of structural schematic diagram of network architecture disclosed in first embodiment of the invention；
Fig. 2 is a kind of flow diagram of the processing method of base station data on flows disclosed in second embodiment of the invention；
Fig. 3 is a kind of flow diagram of the processing method of base station data on flows disclosed in third embodiment of the invention；
Fig. 4 is a kind of flow diagram of the processing method of base station data on flows disclosed in fourth embodiment of the invention；
Fig. 5 is a kind of structural schematic diagram of base station disclosed in fifth embodiment of the invention；
Fig. 6 is a kind of structural schematic diagram of base station disclosed in sixth embodiment of the invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
Description and claims of this specification and term " first " in above-mentioned attached drawing, " second " and " third " etc. are
For distinguishing different objects, it is not use to describe a particular order.In addition, term " includes " and " having " and their any changes
Shape, it is intended that cover and non-exclusive include.Such as contain the process, method of a series of steps or units, system, product or
Equipment is not limited to listed step or unit, but optionally further comprising the step of not listing or unit or optional
Ground further includes the other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
The embodiment of the invention discloses a kind of processing method of base station data on flows and base station, be conducive to the number for promoting base station
It according to peak flow treatment effeciency, avoids abandoning datagram, promotes mobile terminal user's experience.
With reference to the accompanying drawing and specific embodiment, the technical solution of the embodiment of the present invention is described in detail.
In order to be best understood from processing method and the base station of a kind of base station data on flows disclosed by the embodiments of the present invention, below first
The network architecture being applicable in the embodiment of the present invention is described.Referring to Fig. 1, Fig. 1 is a kind of net disclosed by the embodiments of the present invention
The structural schematic diagram of network framework.As shown in Figure 1, the network architecture schematic diagram may include base station and mobile terminal, wherein base station
It may include server, service host, service system and service platform etc., and mobile terminal can be, but not limited to mobile electricity
Words, removable computer, tablet computer, personal digital assistant (Personal Digital Assistant, PDA), media player,
Smart television, smartwatch, intelligent glasses, Intelligent bracelet etc..Wherein, base station can be led to by internet and mobile terminal
Letter connection.
Based on network architecture shown in FIG. 1, the embodiment of the invention discloses a kind of base station data on flows processing method.
Referring to FIG. 2, Fig. 2 is a kind of structural schematic diagram of the processing method for base station data on flows that second embodiment of the invention proposes.
As shown, the method in the embodiment of the present invention includes:
Data on flows in S201, base station analysis set period is to obtain the corresponding flow rate mode of the set period.
S202, the base station determine the corresponding peak flow probability of happening of the flow rate mode.
If S203, judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, the base station is according to
The peak flow probability of happening determines the tardy probability of happening of data.
The source including the data tardy probability of happening and preset interval duration is broadcasted to mobile terminal in S204, the base station
Inhibition packet, the source inhibit packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
It should be understood that the preset interval duration is greater than or equal to the first preset interval duration Δ t1 and is less than or equal to
Second preset interval duration Δ t2, the Δ t1 is less than the Δ t2.
For example, above-mentioned Δ t1 can be 50ms with value, above-mentioned Δ t2 can be 500ms with value.
As an alternative embodiment, the data on flows in the base station analysis set period is described specified to obtain
The period specific embodiment of corresponding flow rate mode may is that
The data on flows in set period that the base station analysis obtains is to generate the corresponding statistical number of the data on flows
According to the statistical data based on generation generates the corresponding flow rate mode of the set period, wherein the statistical data is at least
Including any one in flow average value, flow variance, flow deviation, the big period accounting of flow, the small period accounting of flow.
As an alternative embodiment, the base station determines the corresponding peak flow probability of happening of the flow rate mode
Specific embodiment may is that
The base station obtains and the matched M kind history same period flow rate mode of the set period and the M kind history same period
The M peak flow probability of happening of flow rate mode, the M are positive integer；
It is described that the base station, which matches i-th of peak flow probability of happening in the M peak flow probability of happening,
The peak flow probability of happening of flow rate mode, the i are the positive integer less than or equal to the M.
It is flowed as an alternative embodiment, the base station is obtained with the set period matched M kind history same period
The specific embodiment of amount mode and the M peak flow probability of happening of the M kind history same period flow rate mode may is that
N number of history same period data on flows with the set period matched N number of period history same period is extracted in the base station,
And create between X history same period data on flows and peak flow event in N number of history same period data on flows first
Mapping relations, the peak flow event refer to that any one history of the base station in the X history period same period is same
The flow value of acquired data on flows is greater than preset flow threshold value after period phase, and the N is the positive integer greater than the M,
The X is the positive integer less than or equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, by the N group statistical number in the base station
According to being divided into M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data,
And the Data Matching degree of any two groups of statistical data of the multiple groups statistical data in the same data acquisition system is greater than preset threshold；
The base station generates the M kind history same period flow rate mode of the base station based on the M data acquisition system, and is based on institute
M data acquisition system and first mapping relations are stated, the M peak flow thing with the M kind history same period flow rate mode is calculated
Part probability.
For example, the M data acquisition system includes the first data acquisition system and the second data set, and the M kind history is same
Phase flow rate mode includes the first history same period flow rate mode corresponding with first data acquisition system and the second data set
Corresponding second history same period flow rate mode, the base station are based on the M data acquisition system and first mapping relations, calculate
With the matched M peak flow probability of happening of M kind history same period flow rate mode, comprising:
The base station determines the group number for the statistical data for including in first data acquisition system and the second data set
A1 and a2, the a1 and a2 are positive integer；
The base station determines the group number in the a1 group statistical data with the matched statistical data of the first mapping relations
B1 determines that the group number b2 in the a2 group statistical data with the matched statistical data of the first mapping relations, the b1 are small
In or equal to a1 positive integer, the b2 is positive integer less than or equal to a2；
The base station calculates matched first-class with the first history same period flow rate mode according to the a1 and b1
Peak event probability is measured, is calculated and the matched first flow of the second history same period flow rate mode according to the a2 and b2
Peak event probability.
As an alternative embodiment, the base station determines the tardy thing of data according to the peak flow probability of happening
The specific embodiment of part probability may is that
It is closed according to the second mapping between the peak flow probability of happening prestored and the tardy probability of happening of data the base station
System and the peak flow probability of happening, determine the corresponding tardy probability of happening of data of the peak flow probability of happening,
In, second mapping relations are proportional relationship.
As can be seen that in the embodiment of the present invention, when the data on flows in set period is analyzed first to obtain specified in base station
The corresponding flow rate mode of section, secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging outflow peak
It is worth the probability of happening greater than in the case where predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening,
Finally, wrapping to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration, mobile terminal is being connect
Receive the source inhibit packet after, mobile terminal can detect the presence of data packet need send in the case where, it is slow with data
It sends out the probability of happening and executes the operation for postponing preset interval duration transmission data packet, the Sector Range of same period base station can be reduced
Interior mobile terminal sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids losing
Datagram is abandoned, mobile terminal user's experience is promoted.
Referring to FIG. 3, Fig. 3 is a kind of process of the processing method for base station data on flows that third embodiment of the invention proposes
Figure.As shown, the method in the embodiment of the present invention includes:
The data on flows in set period that S301, base station analysis obtain is to generate the corresponding statistical number of the data on flows
According to.
S302, the base station generate the corresponding flow rate mode of the set period based on the statistical data of generation,
In, the statistical data includes at least flow average value, flow variance, flow deviation, the big period accounting of flow, flow small period
Any one in accounting.
S303, the base station obtain and the matched M kind history same period flow rate mode of the set period and the M kind history
The M peak flow probability of happening of same period flow rate mode, the M are positive integer.
It is flowed as an alternative embodiment, the base station is obtained with the set period matched M kind history same period
The specific embodiment of amount mode and the M peak flow probability of happening of the M kind history same period flow rate mode may is that
N number of history same period data on flows with the set period matched N number of period history same period is extracted in the base station,
And create between X history same period data on flows and peak flow event in N number of history same period data on flows first
Mapping relations, the peak flow event refer to that any one history of the base station in the X history period same period is same
The flow value of acquired data on flows is greater than preset flow threshold value after period phase, and the N is the positive integer greater than the M,
The X is the positive integer less than or equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, by the N group statistical number in the base station
According to being divided into M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data,
And the Data Matching degree of any two groups of statistical data of the multiple groups statistical data in the same data acquisition system is greater than preset threshold；
The base station generates the M kind history same period flow rate mode of the base station based on the M data acquisition system, and is based on institute
M data acquisition system and first mapping relations are stated, the M peak flow thing with the M kind history same period flow rate mode is calculated
Part probability.
For example, the M data acquisition system includes the first data acquisition system and the second data set, and the M kind history is same
Phase flow rate mode includes the first history same period flow rate mode corresponding with first data acquisition system and the second data set
Corresponding second history same period flow rate mode, the base station are based on the M data acquisition system and first mapping relations, calculate
With the matched M peak flow probability of happening of M kind history same period flow rate mode, comprising:
The base station determines the group number for the statistical data for including in first data acquisition system and the second data set
A1 and a2, the a1 and a2 are positive integer；
The base station determines the group number in the a1 group statistical data with the matched statistical data of the first mapping relations
B1 determines that the group number b2 in the a2 group statistical data with the matched statistical data of the first mapping relations, the b1 are small
In or equal to a1 positive integer, the b2 is positive integer less than or equal to a2；
The base station calculates matched first-class with the first history same period flow rate mode according to the a1 and b1
Peak event probability is measured, is calculated and the matched first flow of the second history same period flow rate mode according to the a2 and b2
Peak event probability.
S304, the base station match i-th of peak flow probability of happening in the M peak flow probability of happening
The peak flow probability of happening of the flow rate mode, the i are the positive integer less than or equal to the M.
If S305, judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, the base station is according to prestoring
The peak flow probability of happening and the tardy probability of happening of data between the second mapping relations and the peak flow event it is general
Rate determines the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein second mapping relations are direct ratio
Example relationship.
The source including the data tardy probability of happening and preset interval duration is broadcasted to mobile terminal in S306, the base station
Inhibition packet, the source inhibit packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
As can be seen that in the embodiment of the present invention, when the data on flows in set period is analyzed first to obtain specified in base station
The corresponding flow rate mode of section, secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging outflow peak
It is worth the probability of happening greater than in the case where predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening,
Finally, wrapping to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration, mobile terminal is being connect
Receive the source inhibit packet after, mobile terminal can detect the presence of data packet need send in the case where, it is slow with data
It sends out the probability of happening and executes the operation for postponing preset interval duration transmission data packet, the Sector Range of same period base station can be reduced
Interior mobile terminal sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids losing
Datagram is abandoned, mobile terminal user's experience is promoted.
Referring to FIG. 4, Fig. 4 is a kind of process of the processing method for base station data on flows that fourth embodiment of the invention proposes
Figure.As shown, the method in the embodiment of the present invention includes:
The data on flows in set period that S401, base station analysis obtain is to generate the corresponding statistical number of the data on flows
According to.
S402, the base station generate the corresponding flow rate mode of the set period based on the statistical data of generation,
In, the statistical data includes at least flow average value, flow variance, flow deviation, the big period accounting of flow, flow small period
Any one in accounting.
S403, the base station extract N number of history same period flow with the set period matched N number of period history same period
Data, and create between X history same period data on flows and peak flow event in N number of history same period data on flows
First mapping relations, the peak flow event refer to that any one of the base station in the X history period same period is gone through
The flow value of acquired data on flows is greater than preset flow threshold value after the history period same period, and the N is just whole greater than the M
Number, the X are the positive integer less than or equal to N；
S404, the base station analyze N number of history same period data on flows to generate N group statistical data, and the N group is united
It counts and is divided into M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistics
Data, and the Data Matching degree of any two groups of statistical data of the multiple groups statistical data in the same data acquisition system is greater than default threshold
Value；
S405, the base station generate the M kind history same period flow rate mode of the base station based on the M data acquisition system, and
Based on the M data acquisition system and first mapping relations, the M flow with the M kind history same period flow rate mode is calculated
Peak event probability.
For example, the M data acquisition system includes the first data acquisition system and the second data set, and the M kind history is same
Phase flow rate mode includes the first history same period flow rate mode corresponding with first data acquisition system and the second data set
Corresponding second history same period flow rate mode, the base station are based on the M data acquisition system and first mapping relations, calculate
With the matched M peak flow probability of happening of M kind history same period flow rate mode, comprising:
The base station determines the group number for the statistical data for including in first data acquisition system and the second data set
A1 and a2, the a1 and a2 are positive integer；
The base station determines the group number in the a1 group statistical data with the matched statistical data of the first mapping relations
B1 determines that the group number b2 in the a2 group statistical data with the matched statistical data of the first mapping relations, the b1 are small
In or equal to a1 positive integer, the b2 is positive integer less than or equal to a2；
The base station calculates matched first-class with the first history same period flow rate mode according to the a1 and b1
Peak event probability is measured, is calculated and the matched first flow of the second history same period flow rate mode according to the a2 and b2
Peak event probability.
S406, the base station match i-th of peak flow probability of happening in the M peak flow probability of happening
The peak flow probability of happening of the flow rate mode, the i are the positive integer less than or equal to the M.
If S407, judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, the base station is according to prestoring
The peak flow probability of happening and the tardy probability of happening of data between the second mapping relations and the peak flow event it is general
Rate determines the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein second mapping relations are direct ratio
Example relationship.
The source including the data tardy probability of happening and preset interval duration is broadcasted to mobile terminal in S408, the base station
Inhibition packet, the source inhibit packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
As can be seen that in the embodiment of the present invention, when the data on flows in set period is analyzed first to obtain specified in base station
The corresponding flow rate mode of section, secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging outflow peak
It is worth the probability of happening greater than in the case where predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening,
Finally, wrapping to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration, mobile terminal is being connect
Receive the source inhibit packet after, mobile terminal can detect the presence of data packet need send in the case where, it is slow with data
It sends out the probability of happening and executes the operation for postponing preset interval duration transmission data packet, the Sector Range of same period base station can be reduced
Interior mobile terminal sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids losing
Datagram is abandoned, mobile terminal user's experience is promoted.
Referring to FIG. 5, Fig. 5 is the structural schematic diagram for the base station end that fifth embodiment of the invention proposes.As shown, this hair
Base station in bright embodiment includes:
Analytical unit 501, for analyzing the data on flows in set period to obtain the corresponding flow of the set period
Mode；
Determination unit 502, the corresponding peak flow event of the flow rate mode obtained for determining the analytical unit
Probability；
The determination unit 502, if being also used to judge, the peak flow probability of happening is greater than predetermined probabilities threshold value,
The tardy probability of happening of data is determined according to the peak flow probability of happening；
Transmission unit 503, for including the tardy probability of happening of the data and preset interval duration to mobile terminal broadcast
Source inhibit packet, the source, which inhibits the phenomenon that wrap, to be used to indicate the mobile terminal and needs to send detecting the presence of data packet
Under, the operation postponed the preset interval duration and send the data packet is executed with the tardy probability of happening of the data.
In the specific implementation, the analytical unit 501 is specifically used for:
Data on flows in the set period of acquisition is to generate the corresponding statistical data of the data on flows, based on generation
The statistical data generates the corresponding flow rate mode of the set period, wherein the statistical data is average including at least flow
Value, flow variance, flow deviation, the big period accounting of flow, any one in the small period accounting of flow.
In the specific implementation, the determination unit 502 can further include:
Acquiring unit, for obtaining and the matched M kind history same period flow rate mode of the set period and the M kind history
The M peak flow probability of happening of same period flow rate mode, the M are positive integer；
Matching unit, i-th of peak flow probability of happening for matching in the M peak flow probability of happening are
The peak flow probability of happening of the flow rate mode, the i are the positive integer less than or equal to the M.
In the specific implementation, the acquiring unit is specifically used for:
N number of history same period data on flows with the set period matched N number of period history same period is extracted, and creates institute
X history same period data on flows in N number of history same period data on flows and the first mapping relations between peak flow event are stated,
The peak flow event referred to after any one history period same period of the base station in the X history period same period
The flow value of acquired data on flows is greater than preset flow threshold value, and the N is positive integer greater than the M, the X be less than
Or the positive integer equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, the N group statistical data is divided into M
Data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data, and same
The Data Matching degree of any two groups of statistical data of multiple groups statistical data in data acquisition system is greater than preset threshold；
The M kind history same period flow rate mode of the base station is generated based on the M data acquisition system, and is based on the M number
According to set and first mapping relations, the M peak flow probability of happening with the M kind history same period flow rate mode is calculated.
In the specific implementation, the determination unit 502 determines that the tardy event of data is general according to the peak flow probability of happening
The concrete mode of rate may is that
According to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, Yi Jisuo
The peak flow probability of happening is stated, determines the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein described
Two mapping relations are proportional relationship.
It is understood that the function of each functional module of the base station of the present embodiment can be according in above method embodiment
Method specific implementation, specific implementation process are referred to the associated description of above method embodiment, and details are not described herein again.Base station
In some or all of functional module can realize that functional module can also be by processor some or all of in base station by hardware circuit
(such as digital signal processor) is realized by completing to execute code or instruction.
As can be seen that in the embodiment of the present invention, when the data on flows in set period is analyzed first to obtain specified in base station
The corresponding flow rate mode of section, secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging outflow peak
It is worth the probability of happening greater than in the case where predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening,
Finally, wrapping to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration, mobile terminal is being connect
Receive the source inhibit packet after, mobile terminal can detect the presence of data packet need send in the case where, it is slow with data
It sends out the probability of happening and executes the operation for postponing preset interval duration transmission data packet, the Sector Range of same period base station can be reduced
Interior mobile terminal sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids losing
Datagram is abandoned, mobile terminal user's experience is promoted.
Fig. 6 is the structural schematic diagram for another mobile terminal that sixth embodiment of the invention proposes.As shown, the device
It may include: at least one processor 601, such as CPU, at least one receiver 603, at least one processor 604, at least one
A transmitter 605, at least one communication bus 602.Wherein, communication bus 602 is logical for realizing the connection between these components
Letter.Wherein, the receiver 603 of device and transmitter 605 can be wired sending port in the embodiment of the present invention, or nothing
Line equipment, for example including antenna assembly, for carrying out the communication of signaling or data with other node devices.Memory 604 can be with
It is high speed RAM memory, is also possible to non-labile memory (non-volatile memory), for example, at least a magnetic
Disk storage.Memory 604 optionally can also be that at least one is located remotely from the storage device of aforementioned processor 601.Storage
Store batch processing code in device 604, and processor 601 is for calling the program code stored in memory, for execute with
Lower operation:
The processor 601 analyzes the data on flows in set period to obtain the corresponding flow mould of the set period
Formula.
The processor 601 determines the corresponding peak flow probability of happening of the flow rate mode.
If judging, the peak flow probability of happening is greater than predetermined probabilities threshold value, and the processor 601 is according to described
The peak flow probability of happening determines the tardy probability of happening of data.
The processor 601 broadcasts the source including the data tardy probability of happening and preset interval duration to mobile terminal
Inhibition packet, the source inhibit packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet.
It should be understood that the preset interval duration is greater than or equal to the first preset interval duration 1 and is less than or equal to the
Two preset interval durations 2, the Δ t1 are less than the Δ t2.
As an alternative embodiment, the processor 601 analyzes the data on flows in set period to obtain
The specific embodiment for stating the corresponding flow rate mode of set period may is that
The data on flows in set period that the analysis of processor 601 obtains is to generate the corresponding system of the data on flows
It counts, the statistical data based on generation generates the corresponding flow rate mode of the set period, wherein the statistical data
Including at least any one in flow average value, flow variance, flow deviation, the big period accounting of flow, the small period accounting of flow
Kind.
As an alternative embodiment, the processor 601 determines the corresponding peak flow thing of the flow rate mode
The specific embodiment of part probability may is that
The processor 601 obtains and the matched M kind history same period flow rate mode of the set period and the M kind history
The M peak flow probability of happening of same period flow rate mode, the M are positive integer；
The processor 601 matches i-th of peak flow probability of happening in the M peak flow probability of happening
The peak flow probability of happening of the flow rate mode, the i are the positive integer less than or equal to the M.
As an alternative embodiment, the acquisition of processor 601 is same with the matched M kind history of the set period
The specific embodiment of the M peak flow probability of happening of phase flow rate mode and the M kind history same period flow rate mode may is that
The processor 601 extracts N number of history same period flow with the set period matched N number of period history same period
Data, and create between X history same period data on flows and peak flow event in N number of history same period data on flows
First mapping relations, the peak flow event refer to that any one of the base station in the X history period same period is gone through
The flow value of acquired data on flows is greater than preset flow threshold value after the history period same period, and the N is just whole greater than the M
Number, the X are the positive integer less than or equal to N；
The processor 601 analyzes N number of history same period data on flows to generate N group statistical data, and the N group is united
It counts and is divided into M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistics
Data, and the Data Matching degree of any two groups of statistical data of the multiple groups statistical data in the same data acquisition system is greater than default threshold
Value；
The processor 601 generates the M kind history same period flow rate mode of the base station based on the M data acquisition system, and
Based on the M data acquisition system and first mapping relations, the M flow with the M kind history same period flow rate mode is calculated
Peak event probability.
For example, the M data acquisition system includes the first data acquisition system and the second data set, and the M kind history is same
Phase flow rate mode includes the first history same period flow rate mode corresponding with first data acquisition system and the second data set
Corresponding second history same period flow rate mode, the processor 601 is based on the M data acquisition system and first mapping is closed
System calculates and the matched M peak flow probability of happening of M kind history same period flow rate mode, comprising:
The processor 601 determines the statistical data for including in first data acquisition system and the second data set
Group number a1 and a2, the a1 and a2 are positive integer；
The processor 601 determine in the a1 group statistical data with the matched statistical data of the first mapping relations
Group number b1, determines group the number b2, the b1 in the a2 group statistical data with the matched statistical data of the first mapping relations
For the positive integer less than or equal to a1, the b2 is the positive integer less than or equal to a2；
The processor 601 calculates and the first history same period flow rate mode matched the according to the a1 and the b1
One flow peak event probability calculates and the second history same period flow rate mode matched first according to the a2 and b2
The peak flow probability of happening.
As an alternative embodiment, the processor 601 determines data according to the peak flow probability of happening
The specific embodiment of the tardy probability of happening may is that
The processor 601 is reflected according to second between the peak flow probability of happening prestored and the tardy probability of happening of data
Relationship and the peak flow probability of happening are penetrated, determines that the corresponding tardy event of data of the peak flow probability of happening is general
Rate, wherein second mapping relations are proportional relationship.
It is understood that the function of each functional module of the base station of the present embodiment can be according in above method embodiment
Method specific implementation, specific implementation process are referred to the associated description of above method embodiment, and details are not described herein again.Base station
In some or all of functional module can realize that functional module can also be by processor some or all of in base station by hardware circuit
(such as digital signal processor) is realized by completing to execute code or instruction.
As can be seen that in the embodiment of the present invention, when the data on flows in set period is analyzed first to obtain specified in base station
The corresponding flow rate mode of section, secondly, base station determines the corresponding peak flow probability of happening of flow rate mode, and is judging outflow peak
It is worth the probability of happening greater than in the case where predetermined probabilities threshold value, the tardy probability of happening of data is determined according to the peak flow probability of happening,
Finally, wrapping to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of data and preset interval duration, mobile terminal is being connect
Receive the source inhibit packet after, mobile terminal can detect the presence of data packet need send in the case where, it is slow with data
It sends out the probability of happening and executes the operation for postponing preset interval duration transmission data packet, the Sector Range of same period base station can be reduced
Interior mobile terminal sends the quantity of data packet, to be conducive to be promoted the data traffic peak value treatment effeciency of base station, avoids losing
Datagram is abandoned, mobile terminal user's experience is promoted.
It should be noted that for simple description, therefore, it is stated as a systems for each embodiment of the method above-mentioned
The combination of actions of column, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described, because
For according to the present invention, certain some step can be performed in other orders or simultaneously.Secondly, those skilled in the art also should
Know, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily this hair
Necessary to bright.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in some embodiment
Part, reference can be made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: flash disk, read-only memory (English: Read-Only Memory, abbreviation: ROM), random access device (English
Text: Random Access Memory, referred to as: RAM), disk or CD etc..
The processing method and relevant device for being provided for the embodiments of the invention base station data on flows above have carried out in detail
It introduces, used herein a specific example illustrates the principle and implementation of the invention, the explanation of above embodiments
It is merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, according to this
The thought of invention, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification is not answered
It is interpreted as limitation of the present invention.
Claims (10)
1. a kind of processing method of base station data on flows, which is characterized in that the described method includes:
The data on flows in set period is analyzed to obtain the corresponding flow rate mode of the set period in base station；
The base station determines the corresponding peak flow probability of happening of the flow rate mode；
If judging, the peak flow probability of happening is greater than predetermined probabilities threshold value, and the base station is according to the peak flow thing
The tardy probability of happening of part determine the probability data；
The base station is wrapped to the source inhibition that mobile terminal broadcast includes the tardy probability of happening of the data and preset interval duration, institute
Stating source inhibits packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, slow with the data
The hair probability of happening, which executes, postpones the operation that the preset interval duration sends the data packet, the preset interval duration be greater than or
Equal to the first preset interval duration Δ t1 and it is less than or equal to the second preset interval duration Δ t2, the Δ t1 less than the Δ
t2。
2. the processing method of base station data on flows according to claim 1, which is characterized in that when the base station analysis is specified
Data on flows in section is to obtain the corresponding flow rate mode of the set period, comprising:
The data on flows in set period that the base station analysis obtains is to generate the corresponding statistical data of the data on flows, base
The corresponding flow rate mode of the set period is generated in the statistical data, wherein the statistical data is flat including at least flow
Any one in the big period accounting of mean value, flow variance, flow deviation, flow, the small period accounting of flow.
3. according to claim 1 or the processing method of 2 described in any item base station datas on flows, which is characterized in that the base station
Determine the corresponding peak flow probability of happening of the flow rate mode, comprising:
The base station obtains and the matched M kind history same period flow rate mode of the set period and the M kind history same period flow
The M peak flow probability of happening of mode, the M are positive integer；
It is the flow that the base station, which matches i-th of peak flow probability of happening in the M peak flow probability of happening,
The peak flow probability of happening of mode, the i are the positive integer less than or equal to the M.
4. the processing method of base station data on flows according to claim 3, which is characterized in that the base station obtain with it is described
M peak flow event of the matched M kind history same period flow rate mode of set period and the M kind history same period flow rate mode is general
Rate, comprising:
N number of history same period data on flows with the set period matched N number of period history same period is extracted in the base station, and creates
Build X history same period data on flows in N number of history same period data on flows and the between peak flow event first mapping
Relationship, when the peak flow event refers to any one the history same period of the base station in the X history period same period
The flow value of acquired data on flows is greater than preset flow threshold value after section, and the N is the positive integer greater than the M, the X
For the positive integer less than or equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, by the N group statistical data point in the base station
At M data acquisition system, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data, and same
The Data Matching degree of any two groups of statistical data of multiple groups statistical data in one data acquisition system is greater than preset threshold；
The base station generates the M kind history same period flow rate mode of the base station based on the M data acquisition system, and is based on the M
A data acquisition system and first mapping relations calculate general with M peak flow event of the M kind history same period flow rate mode
Rate.
5. the processing method of base station data on flows according to claim 4, which is characterized in that the base station is according to the stream
Measure the tardy probability of happening of peak event determine the probability data, comprising:
The base station according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, with
And the peak flow probability of happening, determine the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein institute
Stating the second mapping relations is proportional relationship.
6. a kind of base station characterized by comprising
Analytical unit, for analyzing the data on flows in set period to obtain the corresponding flow rate mode of the set period；
Determination unit, the corresponding peak flow probability of happening of the flow rate mode obtained for determining the analytical unit；
The determination unit, if being also used to judge, the peak flow probability of happening is greater than predetermined probabilities threshold value, according to institute
It states the peak flow probability of happening and determines the tardy probability of happening of data；
Transmission unit, for including the source inhibition of the tardy probability of happening of the data and preset interval duration to mobile terminal broadcast
Packet, the source inhibits packet to be used to indicate the mobile terminal in the case where detecting the presence of data packet needs transmission, with described
The tardy probability of happening of data, which executes, postpones the operation that the preset interval duration sends the data packet, the preset interval duration
More than or equal to the first preset interval duration Δ t1 and it is less than or equal to the second preset interval duration Δ t2, the Δ t1 less than institute
State Δ t2.
7. base station according to claim 6, which is characterized in that the analytical unit is specifically used for:
Data on flows in the set period of acquisition is to generate the corresponding statistical data of the data on flows, based on described in generation
Statistical data generates the corresponding flow rate mode of the set period, wherein the statistical data includes at least flow average value, stream
Measure variance, flow deviation, the big period accounting of flow, any one in the small period accounting of flow.
8. the described in any item base stations of according to claim 6 or 7, which is characterized in that the determination unit includes:
Acquiring unit, for obtaining and the matched M kind history same period flow rate mode of the set period and the M kind history same period
The M peak flow probability of happening of flow rate mode, the M are positive integer；
Matching unit, i-th of peak flow probability of happening for matching in the M peak flow probability of happening is described
The peak flow probability of happening of flow rate mode, the i are the positive integer less than or equal to the M.
9. base station according to claim 8, which is characterized in that the acquiring unit is specifically used for:
N number of history same period data on flows with the set period matched N number of period history same period is extracted, and creates the N
X history same period data on flows in a history same period data on flows and the first mapping relations between peak flow event, institute
It states peak flow event and refers to institute after any one history period same period of the base station in the X history period same period
The flow value of the data on flows of acquisition is greater than preset flow threshold value, and the N is positive integer greater than the M, the X be less than or
Positive integer equal to N；
N number of history same period data on flows is analyzed to generate N group statistical data, the N group statistical data is divided into M data
Set, wherein each of described M data acquisition system data acquisition system includes at least one group of statistical data, and the same data
The Data Matching degree of any two groups of statistical data of multiple groups statistical data in set is greater than preset threshold；
The M kind history same period flow rate mode of the base station is generated based on the M data acquisition system, and is based on the M data set
It closes and first mapping relations, the M peak flow probability of happening of calculating and the M kind history same period flow rate mode.
10. base station according to claim 9, which is characterized in that the determination unit is general according to the peak flow event
Rate determines the concrete mode of the tardy probability of happening of data are as follows:
According between the peak flow probability of happening prestored and the tardy probability of happening of data the second mapping relations and the stream
Peak event probability is measured, determines the corresponding tardy probability of happening of data of the peak flow probability of happening, wherein described second reflects
Penetrating relationship is proportional relationship.
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| CN201510601280.6A CN105307212B (en) | 2015-09-18 | 2015-09-18 | A kind of processing method of base station data on flows and base station |
| PCT/CN2015/091354 WO2017045229A1 (en) | 2015-09-18 | 2015-09-30 | Method for processing traffic data of base station, and base station |
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| US20230224723A1 (en) * | 2022-01-07 | 2023-07-13 | Qualcomm Incorporated | Peak traffic position adjustment for wireless communication |
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