CN103491556A - Method and device for network adjustment - Google Patents

Method and device for network adjustment Download PDF

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CN103491556A
CN103491556A CN201210195572.0A CN201210195572A CN103491556A CN 103491556 A CN103491556 A CN 103491556A CN 201210195572 A CN201210195572 A CN 201210195572A CN 103491556 A CN103491556 A CN 103491556A
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business
internet resources
carrying capacity
resources
traffic
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CN103491556B (en
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林高全
陆健相
杨伟杰
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Huawei Technologies Co Ltd
Huawei Technologies Service Co Ltd
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Huawei Technologies Service Co Ltd
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Abstract

The embodiment of the invention discloses a method and device for network adjustment. The method includes the steps that the corresponding relation between the number of occupied network resources and the service volumes of various types of services of the network resources is obtained; according to the corresponding relation and predicated service volumes of the various types of services, the predicated occupied quantity of the network resources is determined; according to the predicated occupied quantity of the network resources, the available quantity of the network resources is adjusted. According to the embodiment, a reasonable network adjustment plan can be performed according to predicated demand conditions of future resources, so that a network operator obtains optimal return with reasonable investment, and the problems that due to constraining of the network resources, the network performance is reduced, and due to idling of the network resources, the rate of return on investment of the operator is reduced are avoided.

Description

Method and device that a kind of network is adjusted
Technical field
The present invention relates to communication technical field, relate in particular to method and device that a kind of network is adjusted.
Background technology
In communication network, for the operation ability that makes communication network can meet the demand that the user commences business, usually need to the available quantity of various network resources, be adjusted according to the Internet usage situation, so that both can meet the demand that business is carried out, can also avoid excessive dilatation to cause producing too much idle Internet resources.
At present, in communication network, usually can to Internet resources, be adjusted according to information such as the busy extent of the number of users in network or business or service communication quality, for example, if the long-time a predetermined level is exceeded of the number of users in network, or long-time heavy traffic reaches predetermined extent, perhaps, long-time service communication quality is all the time lower than predetermined extent, etc., can carry out the dilatation adjustment to network, otherwise, can be subtracted to hold to network and be adjusted.
In realizing process of the present invention, the inventor finds that in above-mentioned prior art, at least there are the following problems:
Fast development along with network technology, the business that network carries is also to the future development of polynary business, for example, the business of carrying can comprise voice call, web page browsing, file download, Online Music and Online Video etc., and the development trend of different business is followed rule separately.Like this, the adjustment of the network towards the single voice calling service mechanism that above-mentioned prior art provides obviously can't guarantee rationally, in time and exactly the available quantity of various network resources carried out to adaptive adjustment, thereby also just can't guarantee well carrying out smoothly of every business that communication network carries.
Summary of the invention
The purpose of the embodiment of the present invention is to provide method and the device that a kind of network is adjusted, thereby can to current mobile network, be adjusted more accurately and effectively, to meet the demand of business development.
The purpose of the embodiment of the present invention is achieved through the following technical solutions:
A kind of method that network is adjusted comprises:
Obtain the occupied quantity of Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
According to described corresponding relation, and, to the traffic carrying capacity of all kinds traffic forecast, determine the prediction occupancy of described Internet resources;
According to the prediction occupancy of described Internet resources, the available quantity of described Internet resources is adjusted.
The device that a kind of network is adjusted comprises:
Resource occupation Relation acquisition unit, for obtaining the occupied quantity of Internet resources and taking the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
The resources processing unit, for the corresponding relation obtained according to described resource occupation Relation acquisition unit, and the prediction traffic carrying capacity of all kinds business, determine the prediction occupancy of described Internet resources;
Resource adjusting operation unit, adjusted the available quantity of described Internet resources for the prediction occupancy of the Internet resources definite according to described resources processing unit.
The technical scheme provided by the invention described above embodiment can be found out, in the technical scheme that the embodiment of the present invention provides, due to the relation between the quantity of the traffic carrying capacity of all kinds business in can be Network Based and the various types of networks resource that it takies, carry out the prediction of the prediction occupancy of various types of networks resource, and carry out the adjustment of network available volume of resources according to predicting the outcome, thereby can be reasonable, also exactly the available volume of resources in network is carried out to adaptive adjustment in time, to guarantee well carrying out smoothly of every business in communication network, make within following a period of time, operator can reasonably obtain best return under investment.
The accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, in below describing embodiment, the accompanying drawing of required use is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite of not paying creative work, can also obtain other accompanying drawings according to these accompanying drawings.
The schematic flow sheet of the method that Fig. 1 provides for the embodiment of the present invention;
The concrete application flow schematic diagram of the method that Fig. 2 provides for the embodiment of the present invention;
Fig. 3 processes schematic diagram for the data of the algorithm with regress analysis method that the embodiment of the present invention provides;
The structural representation of the device that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on embodiments of the invention, those of ordinary skills, not making under the creative work prerequisite the every other embodiment obtained, belong to protection scope of the present invention.
In the technical scheme that the network provided in the embodiment of the present invention is adjusted, specifically according to the network resource requirement amount of historical statistical data predict future a period of time, i.e. prediction obtains the prediction occupancy of various types of networks resource, thereby Internet resources capacity condition that can be based on current, in conjunction with the prediction occupancy of corresponding various types of networks resource, is carried out rational network adjustment planning.
As shown in Figure 1, it specifically can comprise following processing procedure to the specific implementation of the method that a kind of network that the embodiment of the present invention provides is adjusted:
Step 11, set up the occupied quantity of Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
Particularly, can be in the predetermined time section, the business of adding up the traffic carrying capacity of every type of business and every type takies the quantity of described Internet resources, and sets up the occupied quantity of described Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources according to corresponding statistics;
Further, in this step, can record every type of business in the process of its traffic carrying capacity change, the Changing Pattern of the quantity of the Internet resources of its corresponding certain type of taking, and this Changing Pattern is recorded as to functional form, thereby the function model between the quantity of the traffic carrying capacity of acquisition the type business and occupied described Internet resources, also set up the function model between the quantity of the product of traffic carrying capacity of all types of business and occupied described Internet resources, for example, suppose the Internet resources that described Internet resources are the i type, itself and telephone traffic S1, S2(telephone traffic S1, S2 are the traffic carrying capacity of different kinds of business) corresponding relation is arranged, according to historical statistics, determine Ri 1=f 1(S1), Ri 2=f 2and Ri (S2) 12=f 3(S1 * S2), wherein, Ri1 is the function model between telephone traffic S1 and the occupied quantity of i type network resource, Ri2 is the function model between telephone traffic S2 and the occupied quantity of i type network resource, the function model between the product that Ri12 is telephone traffic S1 and S2 and the occupied quantity of i type network resource, again function model addition corresponding to all types of business obtained can be obtained to the model between the quantity of all types of business and its i type network resource taken, i.e. the occupied amount R i=f of i type network resource 1(S1)+f 2(S2)+f 3(S1 * S2), process to obtain successively the model between the traffic carrying capacity of all types of business and other types Internet resources that it takies, like this, just can obtain the relation between the traffic carrying capacity of all kinds business and various types of amount of network resources that it takies, wherein, set up the product of traffic carrying capacity of all kinds of class business and the function model between the occupied quantity of certain Internet resources, as set up f(S1 * S2), its objective is that (business that the association here refers to different service types in the process of implementation in order to remove relevance between different service types, there is interactional feature in it while taking certain class Internet resources), for example, if relevant property between telephone traffic S1 and S2, by setting up function f (S1 * S2), can add up more exactly the situation that takies of corresponding amount of network resources, certainly, separate between telephone traffic S1 and S2 if (being onrelevant between telephone traffic S1 and S2), this existence can not affect the statistics for the situation that takies of amount of network resources equally.
Perhaps, relation in this step between the quantity of the traffic carrying capacity of corresponding all kinds business and various types of Internet resources that it takies also can be, but not limited to comprise: suppose the Internet resources that described Internet resources are the i type, the occupied amount R i=A1 of described i type network resource * first kind traffic carrying capacity S1+A2 * Second Type traffic carrying capacity S2+ ... the traffic carrying capacity Sn+B of+An * n type service; Wherein, i >=1, n >=1; A1, A2 ... the specific gravity factor that the traffic carrying capacity that An is all types of business is corresponding, applying the shared proportion (being that the type business takies the shared proportion of the type Internet resources) of the type Internet resources process for the traffic carrying capacity that means all types of business; B is the business reorganization parameter; Corresponding A1, A2 ... An and B can be, but not limited to take according to the traffic carrying capacity of different kinds of business the statistics employing algorithm with regress analysis method acquisition of the quantity of described i class Internet resources.
Corresponding all kinds business can comprise: at least one in telephone relation, web page browsing, video traffic, P2P business, instant message, multimedia message and mail service; Perhaps, above-mentioned all kinds business can also comprise: at least one in signaling calling, circuit domain voice telephone traffic, packet domain traffic, high speed uplink chain grouping access service and high speed downlink grouping access business; Perhaps, for cordless communication network, corresponding all kinds business also can comprise: Separate Dedicated Control Channel business, traffic channel traffic, the Packet Data Channel business based on the general packet radio service technology and based at least one in enhanced data rates for gsm evolution technology Packet Data Channel business;
At UMTS(Universal Mobile Telecommunication System, universal mobile telecommunications system) in system, corresponding various types of networks resource can comprise: at least one in uplink channel resources, down channel resources, ascending load resource, downlink power resources, descending code resource, common channel resources, Iub interface (being the logic interfacing between radio network controller and base station) bandwidth resources, IU interface (being the interface between core net and radio network controller) bandwidth resources and wireless controller processor, perhaps, at GSM(Global system for mobile communication, global system for mobile communications) in system, corresponding various types of networks resource can comprise: TCH(Traffic Channel, Traffic Channel) channel resource, PDCH(Packet Data Channel, Packet Data Channel) channel resource, SDCCH(Stand-Alone Dedicated Control Channel, Separate Dedicated Control Channel) channel resource, at least one of Gb Interface (being the interface between GPRS serving GPRS support node and base station sub-system) bandwidth resources and Abis interface (being the interface between base station controller and base transceiver station) bandwidth resources.Certainly, corresponding various types of networks resource also can be classified according to other modes, is not described in detail in this.
Step 12, according to described corresponding relation, and, to the traffic carrying capacity of all kinds traffic forecast, determine the prediction occupancy of described Internet resources;
In this step, the traffic carrying capacity of many all kinds traffic forecast can be analyzed by the historical data to having occurred, and uses the mode of mathematical prediction algorithm commonly used to obtain to analysis result; The method that the historical data occurred is analyzed includes but not limited to historical data is divided into to four component analysis: trend component, periodic component, burst component, random component.Trend component refers to the slope of data trend in the certain hour section, can be used but not limited to the predictions such as double smoothing, Hold-winter algorithm after the trend component sequence of acquisition historical data and obtains following trend component; Periodic component refers in historical data to possess the rule that the cycles such as date, week change; The burst component refers to accidental, acyclic unexpected change in historical data; After the trend component of historical data, periodic component, burst component rejection, remaining data are called random component.The cycle regulations that will obtain according to historical data, burst rule, random law are added to and predict that the future trend component obtained can obtain the traffic carrying capacity to all kinds traffic forecast.
Particularly, in corresponding definite network, the process of the prediction occupancy of various types of networks resource can comprise: will as known quantity, be updated in the relation of step 11 foundation, to calculate the prediction occupancy of various types of networks resource to the traffic carrying capacity of all types of traffic forecasts; For example, application example based on enumerating in step 11, to be updated to the traffic carrying capacity of all types of traffic forecasts the prediction occupancy that just can obtain the various types of networks resource in corresponding relational expression, that is: the prediction occupancy Ri ' of i type network resource=A1 * to the traffic carrying capacity S1 ' of first kind traffic forecast+A2 * to the traffic carrying capacity S2 ' of Second Type traffic forecast+... + An * to the traffic carrying capacity Sn ' of n type service prediction+B, wherein, A1, A2 ... An and B are known, in step 11, know.
Step 13, according to the prediction occupancy of described Internet resources, adjusted the available quantity of described Internet resources, to guarantee communication network, can meet the business demand in following a period of time;
Concrete, available quantity adjustment according to the prediction occupancy of described Internet resources to described Internet resources can be, but not limited to comprise: according to the prediction occupancy of described Internet resources, network is carried out to dilatation and/or network and other networks are merged, perhaps, according to the prediction occupancy of described Internet resources, network is subtracted and holds and/or this network is split, etc.
It should be noted that, the process of the relation between all kinds business of setting up that above-mentioned steps 11 is described and the quantity of its Internet resources that take can be set up in real time in the network operation process; Perhaps, also can in officely mean to set up in the fixed time period; Perhaps, also can, when step 12 needs to carry out, set up in real time.It is the tight linking be not defined as between above-mentioned steps 11 and step 12 on the time of implementation, for example, relation between the quantity of corresponding all kinds business and its various types of networks resource taken can be stored in certain entity after setting up, and calls and gets final product when step 12 is carried out, further.In addition, the process of establishing of the relation between the quantity of corresponding all kinds business and its Internet resources that take can realize in the entity of execution step 12 operations, perhaps, also can in other entities, realize, if realize in other entities, after the relation between the quantity of the traffic carrying capacity of setting up corresponding all kinds business and its Internet resources that take, it can be passed in the entity that performs step 12 operations and preserve, in order to application, perhaps, also can be stored in the entity or third party entity of setting up this relation, now, the entity of corresponding execution step 12 need to be called and be got final product to the entity of preserving this relation when carrying out.
In the embodiment of the present invention, corresponding Internet resources can be made a general reference with network traffic (as telephone traffic etc.) specific resources certain internal relation and that capacity limit is arranged.
By the realization of above-described embodiment, can be in network according to the resource capacity demand in following a period of time of prediction, carry out rational network adjustment planning, as the network capacity extension or subtract appearance etc., effectively avoid the appearance of resource anxiety or wasting of resources phenomenon.Thereby can, within following a period of time, make operator reasonably under investment, obtain best return.
For ease of understanding, the implementation procedure below in conjunction with concrete application to the embodiment of the present invention is described in detail.
Particularly, be applied to UMTS(Universal Mobile Telecommunication System, universal mobile telecommunications system with the embodiment of the present invention) in describe for example.Certainly, the embodiment of the present invention also can be applied to LTE(Long Term Evolution, Long Term Evolution), TD-SCDMA(Time Division-Synchronous Code Division Multiple Access, the TD SDMA access), CDMA(Code division multiple access, code division multiple access), GPRS/EDGE(General packet radio service, general packet radio service/Enhanced data rates for GSM evolution, the enhanced data rates of GSM evolution), GSM(Global system for mobile communication, global system for mobile communications) etc. in wireless system.Perhaps, the embodiment of the present invention also can be for community, NodeB(base station), the RNC(radio network controller), the equipment such as transmission or core network element.
As shown in Figure 2, the specific implementation process of this embodiment can comprise following processing procedure:
Step 21, to the historical traffic of network with and the quantity that takies respective network resource carry out data acquisition;
In communication network; the traffic produced in certain period and take the quantity of respective network resource in this period; usually can be written in the traffic measurement daily record, can by corresponding traffic measurement daily record obtain the historical traffic of network with and take the quantity of respective network resource.
It should be noted that, the historical traffic of collection network with and take the process of quantity of respective network resource, need to according to different traffic classification, (comprise all kinds business in network, this different traffic classification refers to different types of service) gathered respectively, so that the relation between the quantity of follow-up definite all kinds business and its these Internet resources that take.In addition, owing in network, may comprising the polytype Internet resources, for the Internet resources of every type, can carry out respectively aforesaid operations.
In an embodiment of the present invention, type of service can be classified according to various ways, this type of service can comprise: signaling is called out, CS(circuit switch, circuit switching) voice telephone traffic, R99PS(packet switch, packet switching) traffic, HSUPA(high speed uplink packet access, High Speed Uplink Packet access) traffic, HSDPA(High Speed Downlink Packet Access, high speed downlink packet access) at least one in traffic; At least one in perhaps telephone relation, web page browsing, video traffic, P2P business, instant message, multimedia message, mail etc.; Perhaps, in the GSM standard, this type of service can comprise: SDCCH(Stand-Alone Dedicated Control Channel, Separate Dedicated Control Channel) traffic, TCH(Traffic Channel, Traffic Channel) traffic, GPRS(General Packet Radio Service, the general packet radio service technology) PDCH(Packet Data CHannel, Packet Data Channel) traffic, EDGE(Enhanced Data Rate for GSM Evolution, enhanced data rates for gsm evolution technology) at least one in the PDCH traffic.Dissimilar business corresponding needs in statistic processes are added up different traffic carrying capacitys, and for example, for the CS voice telephone traffic, need the corresponding CS voice telephone traffic amount of statistics, and, for the HSUPA traffic, need to add up the HSUPA telephone traffic, etc.;
Internet resources can include but not limited to: up CE(Channel Element, Channel Elements) resource, descending CE resource, ascending load resource, downlink power resources, descending code resource, common channel resources, Iub interface bandwidth resources, IU interface band width resource and RNC CPU(RNC processor) one or more in occupancy etc.
In this step 21, the historical traffic of network also can obtain from the historical traffic data of network O&M unit or the storage of probe acquisition network element; The quantity that this traffic takies Internet resources can be for the historical traffic data gathered, resource capacity to respective network elements carries out data acquisition, gather the quantity of historical traffic and its respective network resource taken under identical network condition simultaneously, can determine that according to the resource capacity of respective network elements all types of traffics take the quantity of described Internet resources, for example, in the traffic data production process of certain type traffic, the variation of the resource capacity of respective network elements is the quantity of the Internet resources that the type traffic takies.
Step 22, according to the historical traffic of the network gathered with and the data that take respective network resource set up the relation between the quantity of all types of telephone traffics and its every kind of Internet resources that take, for the quantity of all types of telephone traffics and its every kind of Internet resources that take, carry out modelling operability;
For example, the function model of foundation can be, but not limited to as the quantity of certain the type network resource taken=f(signaling call volume, CS voice telephone traffic amount, R99PS telephone traffic, HSUPA telephone traffic, HSDPA telephone traffic).
In this step, specifically can be by the historical data for certain time length (for example, the resource consumption of certain period and this section telephone traffic corresponding to time) adaptive learning, obtain the quantity of every kind of occupied Internet resources and the function model between above all kinds of telephone traffic, and each the self-corresponding function model addition of these all kinds of telephone traffics can be obtained to model between all types of telephone traffics and its every type of Internet resources that take.Setting up accordingly the quantity of every kind of occupied Internet resources and the function model between all kinds of telephone traffic includes but not limited to: be recorded in the process of certain class telephone traffic (or claiming traffic data) change, the Changing Pattern of the quantity of its corresponding certain Internet resources that take, by this change records, it is functional form, thereby obtain function model between the quantity of such telephone traffic and occupied described Internet resources, corresponding function model includes but not limited to: linear function, quadratic function, exponential function or logarithmic function etc.For example, choose the historical data that possesses following characteristics in network: the value of four class telephone traffics is constant, only has the 5th class telephone traffic to change, now, observation is along with the change of this telephone traffic, and the Changing Pattern of the quantity of described Internet resources, can obtain function model corresponding to this telephone traffic.
Perhaps,
In this step, also can set up in advance the model between the quantity of all types of telephone traffics and its every type of Internet resources that take, comprise unknown number to be determined in model, afterwards, according to the adaptive learning of the historical data for certain time length, determine the unknown number in the model of having set up; For example, the up CE resource of setting up in advance and the model between telephone traffic are: up CE resource=A1 * signaling call volume+A2 * CS audio call amount+A3 * R99PS telephone traffic+A4 * HSUPA telephone traffic+A5 * HSDPA telephone traffic+B, unknown number A1, A2, A3, A4, A5 are the specific gravity factor (being corresponding unknown number) that all kinds of traffics (or claiming all types of business) are corresponding, mean corresponding telephone traffic shared proportion in application the type Internet resources process, unknown number B is the business reorganization parameter, and it is a constant;
In above-mentioned giving an example, corresponding unknown number A1, A2 ... An and B are the adaptive learning according to the above-mentioned historical data for certain time length, adopt algorithm with regress analysis method to obtain, and concrete acquisition pattern comprises:
The historical data of certain time length is input in above-mentioned definite function model, adopt algorithm with regress analysis method, make codomain and historical data (historical resource) record of this function meet least square value minimum, as shown in Figure 3, from whole segment data scope, the calculated value that corresponding function calculates approaches actual value most, wherein, measured value is the historical data value, calculated value is the value that the function model regression analysis obtains, like this, just, can determine the value of A1, A2, A3, A4, A5 value and B that each telephone traffic in function model is corresponding; By the operation of corresponding algorithm with regress analysis method, can determine the value of A1, A2, A3, A4, A5 and B in function model corresponding to above-mentioned up CE resource of giving an example.
Foregoing description only is described for the process of setting up function model of the Internet resources of a type, and the procedural type of setting up function model of the Internet resources of other types, therefore describe in detail no longer one by one.
Step 23, carry out the prediction of all kinds of telephone traffics, obtains the predicted value of all kinds of telephone traffics;
Particularly, in this step, can carry out the prediction of all kinds of telephone traffics according to corresponding traffic forecast algorithm, for example, historical data can be divided into to four component analysis: trend component, periodic component, burst component, random component.Trend component refers to the slope of data trend in the certain hour section, after obtaining the trend component sequence of historical data, can be, but not limited to use the predictions such as double smoothing, Hold-winter algorithm to obtain following trend component; Periodic component refers in historical data to possess the rule that the cycles such as date, week change; The burst component refers to accidental, acyclic unexpected change in historical data; After the trend component of historical data, periodic component, burst component rejection, remaining data are called random component.The cycle regulations that will obtain according to historical data, burst rule, random law are added to and predict that the future trend component obtained can obtain the prediction traffic carrying capacity of all kinds business.
Step 24, the function modelling based on setting up and the predicted value of all kinds of telephone traffics are predicted needed Internet resources quantity;
Particularly, the predicted value of all kinds of telephone traffics that all types of telephone traffics that can set up according to step 22 and the function model integrating step between its all types of Internet resources that take 23 obtain is carried out the resource capacity prediction, i.e. the prediction occupancy of various types of networks resource in network is determined in prediction;
Step 25, adjusted the available quantity of described Internet resources predicting the outcome of needed Internet resources quantity based on above-mentioned;
Particularly, can be according to the described conditions of demand of predicting the outcome of needed Internet resources quantity being determined to following Internet resources; For example, for the quantity of the Internet resources of every type, different adjustment thresholdings is set, the occurrence of corresponding thresholding can be arranged according to network configuration cases in advance; After threshold value is set, can to the available quantity of described Internet resources, be adjusted according to corresponding threshold value;
Take dilatation as example, the dilatation thresholding corresponding to up CE resource of relative set is that dilatation thresholding corresponding to CEup_T, downlink power resources is Powerdown_T, etc., if the quantity of the needed Internet resources that step 24 prediction obtains has surpassed corresponding threshold value, think and need to increase the available quantity of this kind of Internet resources, network is carried out to the dilatation operation.
Further, for ease of understanding, below will the specific implementation process to step 24 and step 25 be elaborated with an example according to thresholding judgement dilatation:
The predicted value of the telephone traffic of certain base station after 6 months of supposing certain state operator is as shown in table 1:
Table 1
Figure BDA00001761455900091
In table 1, obtain the telephone traffic of certain base station after 6 months according to prediction, in all kinds of function models of opening telephone traffic and its all types of Internet resources that take that are entered into foundation, can dope the conditions of demand of the Internet resources of this base station after 6 months, as shown in table 2:
Table 2
Figure BDA00001761455900092
Read this BTS hardware CE configuration data Hardware CE UL, as shown in table 2:
Figure BDA00001761455900093
And the value read is set to the CEup_T thresholding, that is: CEup_T=Hardware CE UL=192.
Known according to table 2, predict that the up CE resource consumption after 6 months is greater than CEup_T, surpass threshold value, now, need to carry out dilatation, after dilatation, corresponding minimum up CE resource distribution need to be not less than 210.
By above-mentioned processing procedure, make in communication network, can utilize the traffic measurement daily record data, obtain the network resource requirement situation of the prediction of target in period, and the result that will predict is as the foundation of network adjustment.Therefore, the realization of the embodiment of the present invention can effectively improve the accuracy that in communication network, the disparate networks resource is adjusted or planned, thereby has at utmost ensured the input-output ratio benefit of operator.
In the foregoing description process, the embodiment of the present invention of only take is applied in wireless network to be described as example, but the embodiment of the present invention also can be applied in other networks.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, to come the hardware that instruction is relevant to complete by computer program, described program can be stored in a computer read/write memory medium, this program, when carrying out, can comprise the flow process as the embodiment of above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The device that the embodiment of the present invention also provides a kind of network to adjust, its specific implementation structure as shown in Figure 4, comprising:
Resource occupation Relation acquisition unit 41, for obtaining the occupied quantity of Internet resources and taking the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
Resources processing unit 42, for the corresponding relation obtained according to described resource occupation Relation acquisition unit 41, and the traffic carrying capacity of all kinds traffic forecast, determine the prediction occupancy of various types of networks resource in network; Wherein, corresponding all kinds business can be, but not limited to comprise: at least one in telephone relation, web page browsing, video traffic, P2P business, instant message, multimedia message and mail service; Perhaps, above-mentioned types of applications layer service is after network equipment mapping, at least one in signaling calling, circuit domain voice telephone traffic, packet domain traffic, high speed uplink chain grouping access service and high speed downlink grouping access business that the use netspeak is described, perhaps, Separate Dedicated Control Channel business, traffic channel traffic, the Packet Data Channel business based on the general packet radio service technology and based at least one in enhanced data rates for gsm evolution technology Packet Data Channel business; Corresponding various types of networks resource can be, but not limited to comprise: at least one in uplink channel resources, down channel resources, ascending load resource, downlink power resources, descending code resource, common channel resources, Iub interface bandwidth resources, IU interface band width resource and wireless controller processor resource; Perhaps, at least one of TCH channel resource, PDCH channel resource, SDCCH channel resource, Gb Interface bandwidth resources and Abis interface bandwidth resources.
Resource adjusting operation unit 43, adjusted the available quantity of Internet resources for the prediction occupancy of the various types of networks resource definite according to described resources processing unit 42, and the quantity of the available resources that can provide network is adjusted;
Wherein, the operation that the available resources that corresponding resource adjusting operation unit can provide network are adjusted specifically can be, but not limited to comprise: according to described resources processing unit 42, the prediction occupancy of definite Internet resources carries out the dilatation operation and/or this network and other networks is carried out to union operation network, perhaps, according to described resources processing unit 42, the prediction occupancy of definite Internet resources is subtracted and holds operation and/or this network is carried out to fractured operation network.
Further, this device can also comprise that the resource occupation relation sets up unit 44, for setting up the occupied quantity of described Internet resources and taking the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources, so that described resource occupation Relation acquisition unit 41 obtains this corresponding relation.Particularly, this resource occupation relation is set up unit 44 can be in the predetermined time section, the quantity of the described Internet resources that the business of the traffic carrying capacity of every type of business and every type of adding up takies, and set up the occupied quantity of described Internet resources and take the relation between the traffic carrying capacity of all kinds business of these Internet resources according to statistics.
Wherein, the operation that above-mentioned resource occupation relation is set up the occupied quantity of described Internet resources of setting up unit and taken the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources specifically can comprise:
(1) record every type of business in the process of its traffic carrying capacity change, the Changing Pattern of the quantity of its corresponding Internet resources that take, and this Changing Pattern is recorded as to functional form, thereby the function model between the quantity of the traffic carrying capacity of acquisition the type business and occupied Internet resources; Also set up the function model between the quantity of the product of traffic carrying capacity of all types of business and these Internet resources; Again by the function model between the quantity of the traffic carrying capacity of all types of business and occupied described Internet resources, and the function model addition between the quantity of the product of the traffic carrying capacity of all types of business and occupied described Internet resources can obtain the function model between the quantity of all types of business and its described Internet resources that take;
For example, suppose the Internet resources that described Internet resources are the i type, itself and telephone traffic S1, S2 have corresponding relation, according to historical statistics, determine Ri 1=f 1(S1), Ri 2=f 2and Ri (S2) 12=f 3(S1 * S2), wherein, Ri1 is the function model between telephone traffic S1 and the occupied quantity of i type network resource, Ri2 is the function model between telephone traffic S2 and the occupied quantity of i type network resource, the function model between the product that Ri12 is telephone traffic S1 and S2 and the occupied quantity of i type network resource; Again function model addition corresponding to all types of business obtained can be obtained to the model between the quantity of all types of business and its i type network resource taken, i.e. the occupied amount R i=f of i type network resource 1(S1)+f 2(S2)+f 3(S1 * S2);
Perhaps,
(2) suppose the Internet resources that described Internet resources are the i type, the traffic carrying capacity S2+ of the traffic carrying capacity S1+A2 of the amount R i=A1 of i type network resource * first kind business * Second Type business ... the traffic carrying capacity Sn+B of+An * n type service; Wherein, i >=1, n >=1; A1, A2 ... the specific gravity factor that the traffic carrying capacity that An is all types of business is corresponding, applying the shared proportion of the type Internet resources process for the traffic carrying capacity that means all types of business; B is the business reorganization parameter; And A1, A2 ... An and B adopt algorithm with regress analysis method to obtain for the statistics of the dissimilar amount of network resources that the traffic carrying capacity according to described different kinds of business takies.
It should be noted that, have a detailed description in the specific implementation of the function that each processing unit comprised in said apparatus is realized each embodiment in front, therefore here repeat no more.
The realization of said apparatus embodiment, make and can in network, according to the resource capacity conditions of demand in the future of predicting, carry out rational network adjustment planning, as the network capacity extension or subtract the operations such as appearance, thereby can make Virtual network operator reasonably under investment, obtain best return, avoid the network performance decline problem caused because of the Internet resources anxiety occurring, and avoid occurring the problem because of the investment yield reduction of the idle operator caused of Internet resources.
The above; be only the present invention's embodiment preferably, but protection scope of the present invention is not limited to this, anyly is familiar with in technical scope that those skilled in the art disclose in the present invention; the variation that can expect easily or replacement, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claims.

Claims (14)

1. the method that network is adjusted, is characterized in that, comprising:
Obtain the occupied quantity of Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
According to described corresponding relation, and, to the traffic carrying capacity of all kinds traffic forecast, determine the prediction occupancy of described Internet resources;
According to the prediction occupancy of described Internet resources, the available quantity of described Internet resources is adjusted.
2. method according to claim 1, is characterized in that, described all kinds business comprises: at least one in telephone relation, web page browsing, video traffic, point-to-point P2P business, instant message, multimedia message and mail service; Perhaps, at least one in signaling calling, circuit domain voice telephone traffic, packet domain traffic, high speed uplink chain grouping access service and high speed downlink grouping access business; Perhaps, Separate Dedicated Control Channel business, traffic channel traffic, the Packet Data Channel business based on the general packet radio service technology and based at least one in enhanced data rates for gsm evolution technology Packet Data Channel business.
3. method according to claim 1, it is characterized in that, described Internet resources comprise: at least one in uplink channel resources, down channel resources, ascending load resource, downlink power resources, descending code resource, common channel resources, Iub interface bandwidth resources, IU interface band width resource and wireless controller processor resource; Perhaps, at least one of Traffic Channel TCH channel resource, Packet Data Channel PDCH channel resource, Separate Dedicated Control Channel SDCCH channel resource, Gb Interface bandwidth resources and Abis interface bandwidth resources.
4. method according to claim 1, is characterized in that, the method also comprises: set up the occupied quantity of described Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources.
5. method according to claim 4, is characterized in that, sets up the occupied quantity of described Internet resources and the corresponding relation that takies between the traffic carrying capacity of all kinds business of these Internet resources comprises:
In the predetermined time section, the quantity of the described Internet resources that the business of the traffic carrying capacity of every type of business and every type of adding up takies, and set up the occupied quantity of described Internet resources and take the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources according to statistics.
6. method according to claim 4, is characterized in that, sets up the occupied quantity of described Internet resources and the corresponding relation that takies between the traffic carrying capacity of all kinds business of these Internet resources comprises:
Record every type of business in the process of its traffic carrying capacity change, the Changing Pattern of the quantity of its corresponding described Internet resources that take, and this Changing Pattern is recorded as to functional form, thereby the function model between the quantity of the traffic carrying capacity of acquisition the type business and occupied described Internet resources; Set up the function model between the quantity of the product of traffic carrying capacity of all types of business and occupied described Internet resources; By the function model between the quantity of the traffic carrying capacity of all types of business and occupied described Internet resources, and the function model addition between the quantity of the product of the traffic carrying capacity of all types of business and occupied described Internet resources can obtain the function model between the quantity of all types of business and its described Internet resources that take;
Perhaps,
Suppose the Internet resources that described Internet resources are the i type, the traffic carrying capacity S2+ of the traffic carrying capacity S1+A2 of described i type network stock number Ri=A1 * first kind business * Second Type business ... the traffic carrying capacity Sn+B of+An * n type service; Wherein, i >=1, n >=1; A1, A2 ... the specific gravity factor that the traffic carrying capacity that An is all types of business is corresponding, applying the shared proportion of the type Internet resources process for the traffic carrying capacity that means all types of business; B is the business reorganization parameter; And A1, A2 ... An and B adopt algorithm with regress analysis method to obtain for the statistics that the traffic carrying capacity according to described different kinds of business takies the quantity of described i class Internet resources.
7. according to the described method of claim 1 to 6 any one, it is characterized in that, the available quantity adjustment according to the prediction occupancy of described Internet resources to described Internet resources comprises:
Network is carried out to dilatation and/or this network and other networks are merged according to the prediction occupancy of described Internet resources, or, according to the prediction occupancy of described Internet resources, network is subtracted and holds and/or this network is split.
8. the device that network is adjusted, is characterized in that, comprising:
Resource occupation Relation acquisition unit, for obtaining the occupied quantity of Internet resources and taking the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources;
The resources processing unit, for the corresponding relation obtained according to described resource occupation Relation acquisition unit, and the prediction traffic carrying capacity of all kinds business, determine the prediction occupancy of described Internet resources;
Resource adjusting operation unit, adjusted the available quantity of described Internet resources for the prediction occupancy of the Internet resources definite according to described resources processing unit.
9. device according to claim 7, is characterized in that, described all kinds business comprises: at least one in telephone relation, web page browsing, video traffic, P2P business, instant message, multimedia message and mail service; Perhaps, at least one in signaling calling, circuit domain voice telephone traffic, packet domain traffic, high speed uplink chain grouping access service and high speed downlink grouping access business; Perhaps, Separate Dedicated Control Channel business, traffic channel traffic, the Packet Data Channel business based on the general packet radio service technology and based at least one in enhanced data rates for gsm evolution technology Packet Data Channel business.
10. device according to claim 7, it is characterized in that, described various types of networks resource comprises: at least one in uplink channel resources, down channel resources, ascending load resource, downlink power resources, descending code resource, common channel resources, Iub interface bandwidth resources, IU interface band width resource and wireless controller processor resource, perhaps, at least one of TCH channel resource, PDCH channel resource, SDCCH channel resource, Gb Interface bandwidth resources and Abis interface bandwidth resources.
11. device according to claim 7, is characterized in that, this device also comprises:
The resource occupation relation is set up unit, for setting up the occupied quantity of described Internet resources and taking the corresponding relation between the traffic carrying capacity of all kinds business of these Internet resources.
12. device according to claim 11, it is characterized in that, described resource occupation relation is set up unit specifically in the predetermined time section, the quantity of the described Internet resources that the business of the traffic carrying capacity of every type of business and every type of adding up takies, and set up the occupied quantity of described Internet resources and take the relation between the traffic carrying capacity of all kinds business of these Internet resources according to statistics.
13. device according to claim 11, is characterized in that, described resource occupation relation is set up the described corresponding relation of setting up unit and is comprised:
Record every type of business in the process of its traffic carrying capacity change, the Changing Pattern of the quantity of its corresponding described Internet resources that take, and this Changing Pattern is recorded as to functional form, thereby the function model between the quantity of the traffic carrying capacity of acquisition the type business and occupied described Internet resources; Set up the function model between the quantity of the product of traffic carrying capacity of all types of business and described Internet resources; By the function model between the quantity of the traffic carrying capacity of all types of business and occupied described Internet resources, and the function model addition between the quantity of the product of the traffic carrying capacity of all types of business and occupied described Internet resources can obtain the function model between the quantity of all types of business and its described Internet resources that take;
Perhaps,
Suppose the Internet resources that described Internet resources are the i type, the traffic carrying capacity S2+ of the traffic carrying capacity S1+A2 of described i type network stock number Ri=A1 * first kind business * Second Type business ... the traffic carrying capacity Sn+B of+An * n type service; Wherein, i >=1, n >=1; A1, A2 ... the specific gravity factor that the traffic carrying capacity that An is all types of business is corresponding, applying the shared proportion of the type Internet resources process for the traffic carrying capacity that means all types of business; B is the business reorganization parameter; And A1, A2 ... An and B adopt algorithm with regress analysis method to obtain for the statistics that the traffic carrying capacity according to described different kinds of business takies the quantity of described i class Internet resources.
14. the described device of according to Claim 8 to 13 any one, is characterized in that, the operation that the available resources that described resource adjusting operation unit can provide network are adjusted comprises:
According to described resources processing unit, the prediction occupancy of definite Internet resources carries out the dilatation operation and/or this network and other networks is carried out to union operation network, perhaps, according to described resources processing unit, the prediction occupancy of definite Internet resources is subtracted and holds operation and/or this network is carried out to fractured operation network.
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