CN105307212A - Processing method for traffic data of base station and base station - Google Patents
Processing method for traffic data of base station and base station Download PDFInfo
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- CN105307212A CN105307212A CN201510601280.6A CN201510601280A CN105307212A CN 105307212 A CN105307212 A CN 105307212A CN 201510601280 A CN201510601280 A CN 201510601280A CN 105307212 A CN105307212 A CN 105307212A
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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
Abstract
Embodiments of the invention disclose a processing method for traffic data of a base station and the base station. The method comprises the following steps that the base station analyzes traffic data within an appointed time bucket to obtain a traffic pattern corresponding to the appointed time bucket; the base station determines traffic peak event probability corresponding to the traffic pattern; if judging that the traffic peak event probability is greater than a preset probability threshold, the base station determines data delayed event probability according to the traffic peak event probability; and the base station broadcasts a source quench packet including the data delayed event probability and the preset interval duration, and the source quench packet is used for indicating a mobile terminal to execute an operation for sending a data packet at the data delayed event probability through delaying the preset interval duration when detecting that the data packet needs to be sent. By adopting the embodiments of the invention, the data traffic peak processing efficiency of the base station is improved, discarding of a datagram is avoided, and the user experience of the mobile terminal is promoted.
Description
Technical field
The present invention relates to technical field of electronic equipment, particularly relate to processing method and the base station of a kind of base station data on flows.
Background technology
The peak rate of single base station/mono-contained fan of LTE reaches more than 10 times of NodeB, and peak rate is 4-6 times of average speed.Compare with 3G, more easily occur congested.Existing congestion control scheme carries out service quality (QualityofService in base station side, core-network side, QoS) QoS controls, perform the queue scheduling ability of stratification for different base station and different business, guarantee the unimpeded of significant base stations and significant data.
Above-mentionedly carry out in QoS control to base station side, core-network side, attendant needs to upgrade the logic of base station, core network element, and will by a large amount of test, and the cycle is long, and workload is large.Meanwhile, because peak value is objective reality, be derived from the online demand of a large amount of mobile terminal by cellular network, QoS controls the transmission that can only ensure significant data, cost is active barrage, abandons the lower flow of priority, and this can cause and abandon a part of packet, affects the Consumer's Experience of end side.
Summary of the invention
The invention provides processing method and the base station of a kind of base station data on flows, to promoting the data traffic peak value treatment effeciency of base station, avoiding abandoning datagram, lifting mobile end-user experience.
Embodiment of the present invention first aspect provides the processing method of a kind of base station data on flows, comprising:
Data on flows in base station analysis set period is to obtain flow rate mode corresponding to described set period;
The peak flow probability of happening that described flow rate mode is corresponding is determined in described base station;
If judge, the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described base station is according to the tardy probability of happening of described peak flow probability of happening determination data;
The source that described base station comprises the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
In the first possible implementation of embodiment of the present invention first aspect, the data on flows in described base station analysis set period, to obtain flow rate mode corresponding to described set period, comprising:
Data on flows in the set period that the analysis of described base station obtains is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
In conjunction with the first possible implementation of embodiment of the present invention first aspect or embodiment of the present invention first aspect, in the implementation that the second of embodiment of the present invention first aspect is possible, described base station is determined to comprise the peak flow probability of happening that described flow rate mode is corresponding:
Described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, and described M is positive integer;
Described base station i-th the peak flow probability of happening matched in described M the peak flow probability of happening is the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
In conjunction with the implementation that the second of embodiment of the present invention first aspect is possible, in the third possible implementation of embodiment of the present invention first aspect, described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, comprising:
The N number of history data on flows same period of the N number of history period same period of mating with described set period is extracted in described base station, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
The described N number of history data on flows same period is analyzed to generate N group statistics in described base station, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Described base station generates the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculates M the peak flow probability of happening with the described M kind history flow rate mode same period.
In conjunction with the third possible implementation of embodiment of the present invention first aspect, in the 4th kind of possible implementation of embodiment of the present invention first aspect, described base station, according to the tardy probability of happening of described peak flow probability of happening determination data, comprising:
Described base station is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
Embodiment of the present invention second aspect provides a kind of base station, comprising:
Analytic unit, for analyzing data on flows in set period to obtain flow rate mode corresponding to described set period;
Determining unit, for determining the peak flow probability of happening that described flow rate mode that described analytic unit obtains is corresponding;
Described determining unit, if also for judging that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then according to the tardy probability of happening of described peak flow probability of happening determination data;
Transmitting element, source for comprising the tardy probability of happening of described data and from predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
In the first possible implementation of embodiment of the present invention second aspect, described analytic unit specifically for:
Data on flows in the set period obtained is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
In conjunction with the first possible implementation of embodiment of the present invention second aspect or embodiment of the present invention second aspect, in the implementation that the second of embodiment of the present invention second aspect is possible, described determining unit comprises:
Acquiring unit, for obtaining M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, described M is positive integer;
Matching unit, be the peak flow probability of happening of described flow rate mode for i-th the peak flow probability of happening matched in described M the peak flow probability of happening, described i is the positive integer being less than or equal to described M.
In conjunction with the implementation that the second of embodiment of the present invention second aspect is possible, in the third possible implementation of embodiment of the present invention second aspect, described acquiring unit specifically for:
Extract the N number of history data on flows same period of the N number of history period same period of mating with described set period, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
Analyze the described N number of history data on flows same period to generate N group statistics, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Generate the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculate M the peak flow probability of happening with the described M kind history flow rate mode same period.
In conjunction with the third possible implementation of embodiment of the present invention second aspect, in the 4th kind of possible implementation of embodiment of the present invention second aspect, described determining unit according to the concrete mode of the tardy probability of happening of described peak flow probability of happening determination data is:
According to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
Implement the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the structural representation of a kind of network architecture disclosed in first embodiment of the invention;
Fig. 2 is the schematic flow sheet of the processing method of a kind of base station data on flows disclosed in second embodiment of the invention;
Fig. 3 is the schematic flow sheet of the processing method of a kind of base station data on flows disclosed in third embodiment of the invention;
Fig. 4 is the schematic flow sheet of the processing method of a kind of base station data on flows disclosed in fourth embodiment of the invention;
Fig. 5 is the structural representation of a kind of base station disclosed in fifth embodiment of the invention;
Fig. 6 is the structural representation of a kind of base station disclosed in sixth embodiment of the invention.
Embodiment
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Term " first ", " second " and " the 3rd " etc. in specification of the present invention and claims and above-mentioned accompanying drawing are for distinguishing different object, instead of for describing particular order.In addition, term " comprises " and " having " and their any distortion, and intention is to cover not exclusive comprising.Such as contain the process of series of steps or unit, method, system, product or equipment and be not defined in the step or unit listed, but also comprise the step or unit do not listed alternatively, or also comprise alternatively for other intrinsic step of these processes, method, product or equipment or unit.
Mention that " embodiment " means in this article, the special characteristic in conjunction with the embodiments described, structure or characteristic can comprise at least one embodiment of the present invention.Each position in the description occurs that this phrase might not all refer to identical embodiment, neither with other embodiment mutual exclusion independently or alternative embodiment.Those skilled in the art's explicitly and implicitly understanding, embodiment described herein can combine with other embodiment.
The embodiment of the invention discloses processing method and the base station of a kind of base station data on flows, be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Below in conjunction with the drawings and the specific embodiments, the technical scheme of the embodiment of the present invention is described in detail.
In order to better understand processing method and the base station of a kind of base station data on flows disclosed in the embodiment of the present invention, first the network architecture that the embodiment of the present invention is suitable for is described below.Refer to Fig. 1, Fig. 1 is the structural representation of a kind of network architecture disclosed in the embodiment of the present invention.As shown in Figure 1, this network architecture schematic diagram can comprise base station and mobile terminal, wherein, base station can comprise server, service host, service system and service platform etc., and mobile terminal can be, but not limited to mobile phone, removable computer, panel computer, personal digital assistant (PersonalDigitalAssistant, PDA), media player, intelligent television, intelligent watch, intelligent glasses, Intelligent bracelet etc.Wherein, base station can be communicated to connect by the Internet and mobile terminal.
Based on the network architecture shown in Fig. 1, the processing method of a kind of base station data on flows that the embodiment of the invention discloses.Please refer to Fig. 2, Fig. 2 is the structural representation of the processing method of a kind of base station data on flows that second embodiment of the invention proposes.As shown in the figure, the method in the embodiment of the present invention comprises:
Data on flows in S201, base station analysis set period is to obtain flow rate mode corresponding to described set period.
The peak flow probability of happening that described flow rate mode is corresponding is determined in S202, described base station.
If S203 judges that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described base station is according to the tardy probability of happening of described peak flow probability of happening determination data.
The source that S204, described base station comprise the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
Understandable, described predetermined interval duration is more than or equal to the first predetermined interval duration Δ t1 and is less than or equal to the second predetermined interval duration Δ t2, and described Δ t1 is less than described Δ t2.
Such as, above-mentioned Δ t1 can value be 50ms, and above-mentioned Δ t2 can value be 500ms.
As the optional execution mode of one, the data on flows that described base station is analyzed in set period to obtain the embodiment of flow rate mode corresponding to described set period can be:
Data on flows in the set period that the analysis of described base station obtains is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
As the optional execution mode of one, described base station determines that the embodiment of the peak flow probability of happening that described flow rate mode is corresponding can be:
Described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, and described M is positive integer;
Described base station i-th the peak flow probability of happening matched in described M the peak flow probability of happening is the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
As the optional execution mode of one, the embodiment that described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period can be:
The N number of history data on flows same period of the N number of history period same period of mating with described set period is extracted in described base station, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
The described N number of history data on flows same period is analyzed to generate N group statistics in described base station, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Described base station generates the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculates M the peak flow probability of happening with the described M kind history flow rate mode same period.
For example, a described M data acquisition system comprises the first data acquisition system and the second data acquisition system, the described M kind history flow rate mode same period comprises the first history same period flow rate mode corresponding with described first data acquisition system and the second history flow rate mode same period corresponding to described second data acquisition system, described base station is based on a described M data acquisition system and described first mapping relations, calculate and described M kind history M the peak flow probability of happening that the same period, flow rate mode mated, comprising:
Group number a1 and a2 of the statistics that described first data acquisition system and described second data acquisition system comprise is determined in described base station, and described a1 and a2 is positive integer;
The group number b1 of the statistics of mating with described first mapping relations in described a1 group statistics is determined in described base station, determine the group number b2 of the statistics of mating with described first mapping relations in described a2 group statistics, described b1 is the positive integer being less than or equal to a1, and described b2 is the positive integer being less than or equal to a2;
Described base station calculates and the described first history first flow peak event probability that the same period, flow rate mode mated according to described a1 and described b1, calculates and the described second history first flow peak event probability that the same period, flow rate mode mated according to described a2 and described b2.
As the optional execution mode of one, described base station according to the embodiment of the tardy probability of happening of described peak flow probability of happening determination data can be:
Described base station is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
Can find out, in the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Please refer to Fig. 3, Fig. 3 is the flow chart of the processing method of a kind of base station data on flows that third embodiment of the invention proposes.As shown in the figure, the method in the embodiment of the present invention comprises:
Data on flows in the set period that S301, base station analysis obtain is to generate statistics corresponding to described data on flows.
S302, described base station generate flow rate mode corresponding to described set period based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
S303, described base station obtain M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, and described M is positive integer.
As the optional execution mode of one, the embodiment that described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period can be:
The N number of history data on flows same period of the N number of history period same period of mating with described set period is extracted in described base station, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
The described N number of history data on flows same period is analyzed to generate N group statistics in described base station, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Described base station generates the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculates M the peak flow probability of happening with the described M kind history flow rate mode same period.
For example, a described M data acquisition system comprises the first data acquisition system and the second data acquisition system, the described M kind history flow rate mode same period comprises the first history same period flow rate mode corresponding with described first data acquisition system and the second history flow rate mode same period corresponding to described second data acquisition system, described base station is based on a described M data acquisition system and described first mapping relations, calculate and described M kind history M the peak flow probability of happening that the same period, flow rate mode mated, comprising:
Group number a1 and a2 of the statistics that described first data acquisition system and described second data acquisition system comprise is determined in described base station, and described a1 and a2 is positive integer;
The group number b1 of the statistics of mating with described first mapping relations in described a1 group statistics is determined in described base station, determine the group number b2 of the statistics of mating with described first mapping relations in described a2 group statistics, described b1 is the positive integer being less than or equal to a1, and described b2 is the positive integer being less than or equal to a2;
Described base station calculates and the described first history first flow peak event probability that the same period, flow rate mode mated according to described a1 and described b1, calculates and the described second history first flow peak event probability that the same period, flow rate mode mated according to described a2 and described b2.
S304, described base station i-th the peak flow probability of happening matched in described M the peak flow probability of happening are the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
If S305 judges that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described base station is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
The source that S306, described base station comprise the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
Can find out, in the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Please refer to Fig. 4, Fig. 4 is the flow chart of the processing method of a kind of base station data on flows that fourth embodiment of the invention proposes.As shown in the figure, the method in the embodiment of the present invention comprises:
Data on flows in the set period that S401, base station analysis obtain is to generate statistics corresponding to described data on flows.
S402, described base station generate flow rate mode corresponding to described set period based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
The N number of history data on flows same period of the N number of history period same period of mating with described set period is extracted in S403, described base station, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
The described N number of history data on flows same period is analyzed to generate N group statistics in S404, described base station, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
S405, described base station generate the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculate M the peak flow probability of happening with the described M kind history flow rate mode same period.
For example, a described M data acquisition system comprises the first data acquisition system and the second data acquisition system, the described M kind history flow rate mode same period comprises the first history same period flow rate mode corresponding with described first data acquisition system and the second history flow rate mode same period corresponding to described second data acquisition system, described base station is based on a described M data acquisition system and described first mapping relations, calculate and described M kind history M the peak flow probability of happening that the same period, flow rate mode mated, comprising:
Group number a1 and a2 of the statistics that described first data acquisition system and described second data acquisition system comprise is determined in described base station, and described a1 and a2 is positive integer;
The group number b1 of the statistics of mating with described first mapping relations in described a1 group statistics is determined in described base station, determine the group number b2 of the statistics of mating with described first mapping relations in described a2 group statistics, described b1 is the positive integer being less than or equal to a1, and described b2 is the positive integer being less than or equal to a2;
Described base station calculates and the described first history first flow peak event probability that the same period, flow rate mode mated according to described a1 and described b1, calculates and the described second history first flow peak event probability that the same period, flow rate mode mated according to described a2 and described b2.
S406, described base station i-th the peak flow probability of happening matched in described M the peak flow probability of happening are the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
If S407 judges that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described base station is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
The source that S408, described base station comprise the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
Can find out, in the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Please refer to Fig. 5, Fig. 5 is the structural representation of the base station end that fifth embodiment of the invention proposes.As shown in the figure, the base station in the embodiment of the present invention comprises:
Analytic unit 501, for analyzing data on flows in set period to obtain flow rate mode corresponding to described set period;
Determining unit 502, for determining the peak flow probability of happening that described flow rate mode that described analytic unit obtains is corresponding;
Described determining unit 502, if also for judging that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then according to the tardy probability of happening of described peak flow probability of happening determination data;
Transmitting element 503, source for comprising the tardy probability of happening of described data and from predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
In specific implementation, described analytic unit 501 specifically for:
Data on flows in the set period obtained is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
In specific implementation, described determining unit 502 can further include:
Acquiring unit, for obtaining M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, described M is positive integer;
Matching unit, be the peak flow probability of happening of described flow rate mode for i-th the peak flow probability of happening matched in described M the peak flow probability of happening, described i is the positive integer being less than or equal to described M.
In specific implementation, described acquiring unit specifically for:
Extract the N number of history data on flows same period of the N number of history period same period of mating with described set period, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
Analyze the described N number of history data on flows same period to generate N group statistics, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Generate the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculate M the peak flow probability of happening with the described M kind history flow rate mode same period.
In specific implementation, described determining unit 502 according to the concrete mode of the tardy probability of happening of described peak flow probability of happening determination data can be:
According to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
Be understandable that, the function of each functional module of the base station of the present embodiment can according to the method specific implementation in said method embodiment, and its specific implementation process with reference to the associated description of said method embodiment, can repeat no more herein.Part or all of functional module in base station can be realized by hardware circuit, and the part or all of functional module in base station also can by processor (as digital signal processor) by completing run time version or instruction realizes.
Can find out, in the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
Fig. 6 is the structural representation of the another kind of mobile terminal that sixth embodiment of the invention proposes.As shown in the figure, this device can comprise: at least one processor 601, such as CPU, at least one receiver 603, at least one memory 604, at least one transmitter 605, at least one communication bus 602.Wherein, communication bus 602 is for realizing the connection communication between these assemblies.Wherein, in the embodiment of the present invention, the receiver 603 of device and transmitter 605 can be wired transmit ports, can be also wireless device, such as, comprise antenna assembly, for carrying out the communication of signaling or data with other node devices.Memory 604 can be high-speed RAM memory, also can be non-labile memory (non-volatilememory), such as at least one magnetic disc store.Memory 604 can also be optionally that at least one is positioned at the storage device away from aforementioned processor 601.Store batch processing code in memory 604, and processor 601 is for calling the program code stored in memory, for performing following operation:
Described processor 601 analyzes data on flows in set period to obtain flow rate mode corresponding to described set period.
The peak flow probability of happening that described flow rate mode is corresponding determined by described processor 601.
If judge, the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described processor 601 is according to the tardy probability of happening of described peak flow probability of happening determination data.
The source that described processor 601 comprises the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
Understandable, described predetermined interval duration is more than or equal to the first predetermined interval duration 1 and is less than or equal to the second predetermined interval duration 2, and described Δ t1 is less than described Δ t2.
As the optional execution mode of one, the data on flows that described processor 601 is analyzed in set period to obtain the embodiment of flow rate mode corresponding to described set period can be:
Data on flows in the set period that the analysis of described processor 601 obtains is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
As the optional execution mode of one, described processor 601 determines that the embodiment of the peak flow probability of happening that described flow rate mode is corresponding can be:
Described processor 601 obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, and described M is positive integer;
Described processor 601 i-th the peak flow probability of happening matched in described M the peak flow probability of happening is the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
As the optional execution mode of one, the embodiment that described processor 601 obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period can be:
Described processor 601 extracts the N number of history data on flows same period of the N number of history period same period of mating with described set period, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
Described processor 601 analyzes the described N number of history data on flows same period to generate N group statistics, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Described processor 601 generates the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculates M the peak flow probability of happening with the described M kind history flow rate mode same period.
For example, a described M data acquisition system comprises the first data acquisition system and the second data acquisition system, the described M kind history flow rate mode same period comprises the first history same period flow rate mode corresponding with described first data acquisition system and the second history flow rate mode same period corresponding to described second data acquisition system, described processor 601 is based on a described M data acquisition system and described first mapping relations, calculate and described M kind history M the peak flow probability of happening that the same period, flow rate mode mated, comprising:
Group number a1 and a2 of the statistics that described first data acquisition system and described second data acquisition system comprise determined by described processor 601, and described a1 and a2 is positive integer;
The group number b1 of the statistics of mating with described first mapping relations in described a1 group statistics determined by described processor 601, determine the group number b2 of the statistics of mating with described first mapping relations in described a2 group statistics, described b1 is the positive integer being less than or equal to a1, and described b2 is the positive integer being less than or equal to a2;
Described processor 601 calculates and the described first history first flow peak event probability that the same period, flow rate mode mated according to described a1 and described b1, calculates and the described second history first flow peak event probability that the same period, flow rate mode mated according to described a2 and described b2.
As the optional execution mode of one, described processor 601 according to the embodiment of the tardy probability of happening of described peak flow probability of happening determination data can be:
Described processor 601 is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
Be understandable that, the function of each functional module of the base station of the present embodiment can according to the method specific implementation in said method embodiment, and its specific implementation process with reference to the associated description of said method embodiment, can repeat no more herein.Part or all of functional module in base station can be realized by hardware circuit, and the part or all of functional module in base station also can by processor (as digital signal processor) by completing run time version or instruction realizes.
Can find out, in the embodiment of the present invention, data on flows in set period is analyzed to obtain flow rate mode corresponding to set period in base station first, secondly, the peak flow probability of happening that flow rate mode is corresponding is determined in base station, and when judging that the peak flow probability of happening is greater than predetermined probabilities threshold value, according to the tardy probability of happening of peak flow probability of happening determination data, finally, the source comprising the tardy probability of happening of data and predetermined interval duration to mobile terminal broadcast suppresses bag, mobile terminal is after receiving this source and suppressing bag, mobile terminal can when when detecting that there is packets need sends, perform with the tardy probability of happening of data and postpone the operation that predetermined interval duration sends packet, the mobile terminal that can reduce in the Sector Range of same period base station sends the quantity of packet, thus be conducive to the data traffic peak value treatment effeciency promoting base station, avoid abandoning datagram, lifting mobile end-user experience.
It should be noted that, for each embodiment of the method aforesaid, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, certain some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in specification all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, storage medium can comprise: flash disk, read-only memory are (English: Read-OnlyMemory, be called for short: ROM), random access device (English: RandomAccessMemory, RAM), disk or CD etc. be called for short:.
Above the processing method of the base station data on flows that the embodiment of the present invention provides and relevant device are described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a processing method for base station data on flows, is characterized in that, described method comprises:
Data on flows in base station analysis set period is to obtain flow rate mode corresponding to described set period;
The peak flow probability of happening that described flow rate mode is corresponding is determined in described base station;
If judge, the described peak flow probability of happening is greater than predetermined probabilities threshold value, then described base station is according to the tardy probability of happening of described peak flow probability of happening determination data;
The source that described base station comprises the tardy probability of happening of described data and predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
2. the processing method of base station according to claim 1 data on flows, is characterized in that, the data on flows in described base station analysis set period, to obtain flow rate mode corresponding to described set period, comprising:
Data on flows in the set period that the analysis of described base station obtains is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on described statistics, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
3. the processing method of the base station data on flows according to any one of claim 1 or 2, is characterized in that, described base station is determined to comprise the peak flow probability of happening that described flow rate mode is corresponding:
Described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, and described M is positive integer;
Described base station i-th the peak flow probability of happening matched in described M the peak flow probability of happening is the peak flow probability of happening of described flow rate mode, and described i is the positive integer being less than or equal to described M.
4. the processing method of base station according to claim 3 data on flows, is characterized in that, described base station obtains M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, comprising:
The N number of history data on flows same period of the N number of history period same period of mating with described set period is extracted in described base station, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
The described N number of history data on flows same period is analyzed to generate N group statistics in described base station, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Described base station generates the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculates M the peak flow probability of happening with the described M kind history flow rate mode same period.
5. the processing method of base station according to claim 4 data on flows, is characterized in that, described base station, according to the tardy probability of happening of described peak flow probability of happening determination data, comprising:
Described base station is according to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
6. a base station, is characterized in that, comprising:
Analytic unit, for analyzing data on flows in set period to obtain flow rate mode corresponding to described set period;
Determining unit, for determining the peak flow probability of happening that described flow rate mode that described analytic unit obtains is corresponding;
Described determining unit, if also for judging that the described peak flow probability of happening is greater than predetermined probabilities threshold value, then according to the tardy probability of happening of described peak flow probability of happening determination data;
Transmitting element, source for comprising the tardy probability of happening of described data and from predetermined interval duration to mobile terminal broadcast suppresses bag, described source suppresses bag to be used to indicate described mobile terminal when detecting that there is packets need sends, and performs postpone the operation that described predetermined interval duration sends described packet with the tardy probability of happening of described data.
7. base station according to claim 6, is characterized in that, described analytic unit specifically for:
Data on flows in the set period obtained is to generate statistics corresponding to described data on flows, flow rate mode corresponding to described set period is generated based on the described statistics generated, wherein, described statistics at least comprises any one in flow mean value, flow variance, flow deviation, flow large period accounting, the little period accounting of flow.
8. the base station according to any one of claim 6 or 7, it is characterized in that, described determining unit comprises:
Acquiring unit, for obtaining M the peak flow probability of happening of the M kind history flow rate mode same period and the described M kind history flow rate mode same period mated with described set period, described M is positive integer;
Matching unit, be the peak flow probability of happening of described flow rate mode for i-th the peak flow probability of happening matched in described M the peak flow probability of happening, described i is the positive integer being less than or equal to described M.
9. base station according to claim 8, is characterized in that, described acquiring unit specifically for:
Extract the N number of history data on flows same period of the N number of history period same period of mating with described set period, and the first mapping relations between X the history data on flows same period created in the described N number of history data on flows same period and peak flow event, the flow value of the data on flows that described peak flow event obtains after referring to described base station any one history period same period in described X the history period same period is greater than preset flow threshold value, described N is the positive integer being greater than described M, and described X is the positive integer being less than or equal to N;
Analyze the described N number of history data on flows same period to generate N group statistics, described N group statistics is divided into M data acquisition system, wherein, each data acquisition system in a described M data acquisition system at least comprises one group of statistics, and the Data Matching degree of any two groups of statisticss of many groups statistics in same data acquisition system is greater than predetermined threshold value;
Generate the M kind history flow rate mode same period of described base station based on a described M data acquisition system, and based on a described M data acquisition system and described first mapping relations, calculate M the peak flow probability of happening with the described M kind history flow rate mode same period.
10. base station according to claim 9, is characterized in that, described determining unit according to the concrete mode of the tardy probability of happening of described peak flow probability of happening determination data is:
According to the second mapping relations between the peak flow probability of happening prestored and the tardy probability of happening of data, and the described peak flow probability of happening, determine the tardy probability of happening of data that the described peak flow probability of happening is corresponding, wherein, described second mapping relations are proportional relationship.
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| 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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| WO2017045229A1 (en) * | 2015-09-18 | 2017-03-23 | 宇龙计算机通信科技(深圳)有限公司 | Method for processing traffic data of base station, and base station |
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| WO2017045229A1 (en) | 2017-03-23 |
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