CN103260193B - Policy control apparatus and method - Google Patents
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- CN103260193B CN103260193B CN201210037111.0A CN201210037111A CN103260193B CN 103260193 B CN103260193 B CN 103260193B CN 201210037111 A CN201210037111 A CN 201210037111A CN 103260193 B CN103260193 B CN 103260193B
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Abstract
The present invention provides a kind of policy control apparatus and method, for solving the tactful management and control problem in mobile Internet, this policy control device connects the OSS OSS in mobile Internet and network element respectively, for obtaining the load data of described base station sub-system from described OSS OSS, compare with the tactful trigger condition preset after described load data is processed, obtain comparative result, obtain corresponding strategy according to described comparative result, and by described network element, the enforcement stream control of described base station sub-system is processed according to described strategy.Use technical scheme, it is achieved the intelligent management and control to base station, and the foundation of this intelligence management and control is to gather load data from base station, therefore has of overall importance and effectiveness.
Description
Technical field
The invention belongs to mobile Internet field, relate to data service technology, more specifically, relate to a kind of plan
Slightly control apparatus and method.
Background technology
At present mobile Internet traffic management and control means mainly include bandwidth restriction, two priority classes, flow constriction,
Content buffering etc., the use of various management and control means needs to configure strategy and commands.Strategy includes management and control hands
Section trigger condition, as the specific region used in management and control means, the specific period, specific business,
And specific terminal etc.；Strategy also includes the control parameter of management and control means, as in the bandwidth that bandwidth limits
Limit, the compression ratio of flow constriction, URL of content buffering etc..
In mobile Internet, the scheme of strategy management and control mainly has following two scheme at present, and one is to perform pipe
Configuration and management strategy in the device of control means；A kind of is to use the strategy configuration and way to manage concentrated, i.e.
Out being placed in special device by the functional independence of strategy configuration and management, distributing policy performs pipe to multiple stage
The device of control means.Former scheme representation example is the most directly to configure the bar that port bandwidth limits
Mesh；The representation example strategy of latter scheme controls (PCC, Policy Control and with charging
Charging), in PCC scheme, use strategy and charging rule decision entity (PCRF, Policy
Control Rule Function) manage and distributing policy, implementation strategy is strategy and charge execution function
(PCEF, Policy Control Enforcement Function), PCEF function is usually located at gateway GGSN
(GPRS Gateway Support Node)。
The application target of each management and control means mainly has the following aspects:
The first, network resource optimization, as limited, by bandwidth, the flow pressure alleviated on port and link,
The pressure of Radio Resource in the cell is alleviated by bandwidth restriction and two priority classes；
The second, Consumer's Experience promotes, and downloads the time of webpage, by interior as shortened user by flow constriction
Hold buffering and shorten the time that customer flow transmits in the Internet；
3rd, manage lifting, as the bandwidth by ensureing high-value user carries out the guarantee of Consumer's Experience, enter
And improve high-value user's loyalty；Suppression low value customer flow and resource occupation, thus promote unit stream
Amount income.
The current mode of policy development of each management and control means is artificial static mode, the content (judgment condition of strategy
With policing parameter) by network management personnel according to personal experience, the network information and market management information system
Fixed, network management personnel is according to personal experience, the change of the network information and the change people of market management information
Work carries out the renewal of strategy, tactful coming into force and the termination of strategy.But, the strategy of manual static
Management and control mode has following defects that
1), on time dimension, existing data service traffic management and control scheme does not utilizes the reality of wireless access network side
Time load information regulating strategy is carried out dynamical feedback, but statically according to artificial experience and BOSS industry
Business data etc. carry out strategy configuration, and the tactful configuration of static state can make strategy lack ageing and accuracy,
Thus affect the effect of management and control.
(2) Data Source of existing management and control scheme is comprehensive not, relies on BOSS user data/history service number
According to etc. carry out the management and control mode that the effect of management and control is a kind of coarseness.
(3) in management and control target dimension, because the goal of regulation and control community that existing management and control scheme selection goal of regulation and control is
To choose be non real-time and static, the region of data service overload not necessarily always overload in history,
Thus some unnecessary communities taking management and control can have been carried out management and control, have impact on Consumer's Experience and business revenue.Or
Some new Hot Spot cannot be followed up and carry out effective management and control by person in time.
(4), in management and control means, existing management and control scheme fails the most three-dimensionally to use each flow-control in existing network
Network element (GGSN/WAP gateway/BSC etc.) coordinates the traffic management and control of steric order, but at each
Relatively independent on network element carry out management and control disorderly, it is impossible to reach the excellent results of three-dimensional management and control.
To sum up, prior art exists the problem that management and control effect is undesirable.
Summary of the invention
The present invention provides a kind of policy control apparatus and method, for solving the management and control effect that prior art exists
Undesirable problem.
, it is provided that a kind of policy control device, and adopt for achieving the above object, according to an aspect of the present invention
Use following technical scheme:
Policy control device, the policy control being applied in mobile Internet, described policy control device is respectively
Connect the OSS OSS in mobile Internet and network element, for from described OSS OSS
The load data of middle acquisition base station sub-system, with the strategy triggering preset after processing described load data
Condition compares, and draws comparative result, obtains corresponding strategy and according to described according to described comparative result
Described base station sub-system is implemented stream control by described network element and is processed by strategy.
Further, described policy control device includes: data processor, connects OSS OSS,
For the load data to the described base station sub-system obtained from described OSS OSS and to institute
State load data and carry out data cleansing and loading index calculating, draw data result of calculation；Memorizer, is used for
Store described default strategy and described default trigger condition；Trigger, connect described data processor with
Described memorizer, for entering the described data result of calculation received with described default tactful trigger condition
Described strategy is obtained after Hang, and by described policy distribution；Dispensing device, connects described trigger, uses
In receiving and described strategy, and strategy described in book is sent to described network element.
Further, policy control device also includes: user service information data base, connects described trigger,
For providing user service information for described trigger, described trigger is additionally operable to calculate knot according to described data
Fruit obtains described user service information to described user service data storehouse, and according to described service-user information and
Described data result of calculation generates the strategy become more meticulous.
Further, policy control device also includes: data-interface, connects input data source, is used for as institute
Stating policy control device and provide reference data, described reference data is under obtaining for described policy control device
Send out strategy and basis is provided.
Further, described load data all indicates acquisition time when being acquired, should be with time attribute
Described load data is for according to described trigger condition generation strategy list, producing institute by described Policy List
State real-time policy.
Further, the described described load data with time attribute be additionally operable to be realized by prediction algorithm right
The load estimation of the following scheduled time, carries out Developing Tactics according to the result of prediction to described base station sub-system.
According to another aspect of the present invention, it is provided that a kind of policy control method, and use techniques below side
Case:
Policy control method includes: obtains the load data of base station sub-system, and carries out described load data
Process, obtain result；Described result is contrasted with the tactful trigger condition preset, obtains
Comparative result；Trigger corresponding strategy according to described comparative result, and corresponding strategy is passed through network element
Described base station sub-system is implemented stream control process.
Further, described load data, when collected, all indicates the time of collection, described policy control
Device obtains the load data of base station sub-system, and processes described load data, obtains result
Step includes；Described policy control device carries out data cleansing to described load data and loading index calculates,
Generating loading index time list, described policy control device is by described load data and the strategy triggering preset
Condition contrasts, and obtains comparative result step and includes: when described policy control device is by described loading index
Between list contrast with described default tactful trigger condition, draw the Policy List under each time period.
Further, trigger corresponding strategy at described policy control device according to described comparative result, and will
Described strategy is processed after step described base station sub-system is implemented stream control by network element, described policy control
Method also includes: described policy control device obtains each historical time according to described loading index time list
Load sequence；Described policy control device calculates following identical in advance according to the load sequence of described historical time
The load information of time, for carrying out Developing Tactics to described base station sub-system.
Further, trigger corresponding strategy at described policy control device according to described comparative result, and will
Corresponding strategy is processed after step described base station sub-system is implemented stream control by network element, described plan
Slightly control method also includes: described policy control device judges whether corresponding strategy relates to the industry of user
Business information, and obtain judged result；It is that corresponding strategy relates to described user's in described judged result
During business information, described policy control device obtains the business of described user by user service information data base
Information.
Therefore, by the technique scheme of the present invention, it can be seen that the method have the advantages that
1, construction centralized management intelligent strategy center IPC, the motility that IPC has in a network are proposed
And expandability, it is to realize utilizing existing network data comprehensively, real-time streams control and the base apparatus of three-dimensional stream control；
2, propose and feed back to IPC generation real-time policy from access network load information and affect access network load
Based on feedback stream prosecutor formula；
3, on the basis of 2, it is proposed that one is predicted functional node based on history and near-realtime data,
Stream interface driver can be adjusted in real time according to predicting the outcome.
In addition to objects, features and advantages described above, the present invention also has other purpose, feature
And advantage.Below with reference to figure, the present invention is further detailed explanation.
Accompanying drawing explanation
Accompanying drawing is used for providing a further understanding of the present invention, constitutes the part of the application, and the present invention shows
Meaning property embodiment and explanation thereof are used for explaining the present invention, are not intended that inappropriate limitation of the present invention.At accompanying drawing
In:
Fig. 1 represents the policy control device described in the embodiment of the present invention and base station sub-system and the work of network element
Principle schematic；
Fig. 2 represents the policy control device internal structure schematic diagram described in the embodiment of the present invention；
Fig. 3 represents the connection diagram of the policy control device described in the embodiment of the present invention and existing network network element；
Fig. 4 represents the policy control method broad flow diagram described in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, embodiments of the invention are described in detail, but the present invention can be wanted by right
The multitude of different ways limited and cover is asked to implement.
Fig. 1 represents the policy control device described in the embodiment of the present invention and base station sub-system and the work of network element
Principle schematic.
Shown in Figure 1, policy control device IPC30 connects the operation support system in mobile Internet respectively
System OSS (not showing in Fig. 1) and stream control network element 50, for obtaining from described OSS OSS
The load data of described BSS10, with the tactful trigger condition preset after processing described load data
Compare, obtain a comparative result, trigger corresponding real-time policy according to described comparative result, by described
BSS10 is implemented stream control according to described real-time policy and processes by stream control network element 50.
In the technique scheme of the present embodiment, IPC30 gathers the load data of BSS10 and generates stream control
Instruction carries out data service stream control, thus has influence on the feedback operation mode of BSS10 load.More specifically
Say, IPC30 from OSS gather BSS10 with data that data service is relevant calculate access network wireless
Loading index, these loading index comprise the steps that
A. all communities of existing network without line use ratio；
B. the half rate ratio of community；
C. data service accounts for Radio Resource ratio；
D. every PDCH bearer traffic etc..
Above-mentioned all indexs are all attached with time attribute, indicate the acquisition time of index.The most all these
Index is all a time series with Complete Synchronization time interval.IPC30 to above-mentioned with time attribute
Load data process after, compare with the tactful trigger condition prestored, produce real-time control plan
Slightly, and to BSS10, this Real-Time Control Strategy is implemented stream control by stream control network element 50 to process.
The advantage of technique scheme is, the present invention introduces concentration in mobile Internet traffic management and control scheme
The policy control device of formula, i.e. intelligent strategy center IPC (Intelligent Policy Centre) equipment realizes
The dynamic strategy management and control that becomes more meticulous to management and control time/target/means/customer group etc..IPC utilizes from OSS system
The dynamic load information obtained judges management and control community, customer group and time, and comprehensive three-dimensional driving is multiple
Network element realizes effective data service management and control, thus ensures that limited Radio Resource is to ensure high-value user's
Consumer's Experience.
Fig. 2 represents the policy control device internal structure schematic diagram described in the embodiment of the present invention.
Shown in Figure 2, it is preferable that described policy control device 30 includes: data processor 31, even
OSS OSS (does not shows in Fig. 2), for the described load data obtained from described OSS
Process, obtain a data processed result；Memorizer 37, for storing described default strategy with described
The trigger condition preset；Trigger 33, connects described data processor 31 and described memorizer 37, is used for
The described data processed result received is compared with described default tactful trigger condition, and issue with
The strategy that described comparative result is corresponding；Dispensing device, can be that process issues device 35, connect described triggering
Device 33, for receiving the strategy corresponding with described comparative result, and by the plan corresponding with described comparative result
Slightly send to network element (not showing in Fig. 2).
According to the technique scheme of the present embodiment, the data processor 31 of IPC from OSS gather with
The data that data service is relevant calculate the radio bearers index in access network, and these loading index comprise the steps that
A. all communities of existing network without line use ratio；
B. the half rate ratio of community；
C. data service accounts for Radio Resource ratio；
D. every PDCH bearer traffic etc..
All indexs are all attached with time attribute, indicate the acquisition time of index.The most all these indexs are all
It it is a time series with Complete Synchronization time interval.Trigger 33 obtains from data processor 31
Loading index time series compare the Policy List determining triggering with the trigger condition in memorizer 37.
Preferably, policy control device also includes user service information data base 39, connects described trigger
33, for providing user service information for described trigger 33.
User service information data base 39 provides user service information for described trigger 33, is obtaining existing network
After the real-time or history radio bearers initial data of each community, initial data is carried out data cleansing and load
Index calculates, and becomes more meticulous below the customer service realization calculating according to loading index and obtaining from BOSS
Stream interface driver generate:
A. for the whole network or the stream interface driver of specific cell；
B. for certain groups of users or the stream interface driver of specific user；
C. for the stream interface driver of certain time period；
Or the combination in any of a, b, c d..
Data cleansing is mainly the number that undesirable data mainly have incomplete data, mistake
Be modified according to, the data three major types data that repeat, the operation such as filtration so that data fit uses requirement.
By above-mentioned strategy by controlling the PCRF policy control node that interface is issued in PCC structure, or
Person's WAP/Web gateway, or Web/P2P Cache CDN startup.
Fig. 3 represents the connection diagram of the policy control device described in the embodiment of the present invention and existing network network element.
Shown in Figure 3, in the present embodiment, in conjunction with PCC scheme, by distributing policy to PCRF,
PDP Context Active Request (PDP Hot Spot come in busy by the PCEF in GGSN
Context Active Request is the signaling title between mobile subscriber and mobile network, and user initiates, for
Be that user asks access to mobile network to surf the Net) carry out corresponding QoS control, including to specific little
PDP (Packet Data Protocol, packet message agreement) Context in district/specific user/special time
(PDP Context represents a user subject of access to mobile network) sets in priority and maximum
Downstream rate etc.；Hurry at the whole network and instruct WAP Gateway after community reaches some and start picture/regard
The lossy compression method of frequency, on-air radio resource is saved in the media data flow consumption reducing the whole network user；Entirely
Wang Mang community starts Web Cache CDN, CDN (Content Distribute after reaching some
Network, content distribution network), internet content buffering distributed network, within being deployed in operator, use
Carrying out the content of buffer-stored the Internet, user accesses can not directly access content supplier, but from interconnection
Net content buffering distributed network extracts content, so can improve the experience of user's online；Pass through GGSN
Controlling channel idle time of some always online instant messaging services more efficient utilizes channel resource.
Preferably, policy control device also includes: data-interface (not shown), is used for connecting data defeated
Enter source, for providing described load data or reference data for described policy control device.
In the technique scheme of the present embodiment, policy control device arranges data-interface, these data
Interface can be the interface connecting OSS, but this interface can also connect other data sources, can more hold
Easily add new data input, allow IPC be referred to more data, the most tactful to formulate more composition,
More control device can also be added so that policy control means more horn of plenty is with vertical by this data-interface
Body.
Preferably, described load data all indicates acquisition time when being acquired, for according to described triggering bar
Part generates described real-time policy.
Preferably, described load data all indicates that when being acquired acquisition time is additionally operable to by prediction algorithm in fact
Now the load budget to future time, carries out Developing Tactics according to described load estimation to described base station.
In two above-mentioned embodiments, it is assumed that the historical time Interval Set of sampling is combined into T={t1, t2…ti,
The most all index sets are LI={li1, li2, li3…lim, wherein, lim={ limt, t ∈ T}, then LIt(i)={ li1t(i),
li2t(i)…limt(i), t (i)=ti；
Wherein, LIt(i)Represent the set of all indexs under certain timeslice t (i).
Processed by above-mentioned data, LIt(i)Represent that the set of all indexs under certain timeslice t (i) is with pre-
If strategy compare with trigger condition, determine real-time trigger policy list.
And, on the basis of all these historic load time serieses calculated, pre-measuring and calculating can be used
Method realizes the load estimation to certain time following, it is assumed that prediction algorithm is g computing, and wherein, g computing can
To be certain predicting network flow algorithm, autoregression (AR), moving average (MA), difference can be used certainly
Return rolling average (ARMA) and FARIMA etc. algorithm linearly or based on nonlinear model,
Specific algorithm does not launches in this literary composition.
Assume that predicted time collection is combined into: S={s1, s2…si,
So index LIS=g (LIT), therefore, trigger condition result c of certain indexnCan under timeslice s (i)
To be expressed as: { cns(i)=fn{li1ts(i), li2s(i)…lims(i), cns(i)=0,1}.
cns(i)Mean all indexs in s (i) timeslice are made corresponding computing obtain 0 or 1,1 representative
Make certain strategy trigger condition identical in future for upper loading index is comprehensively gone up in certain time s (i) in the future
Time set up, 0 expression is false.If the time interval of S with T is smaller, then IPC is permissible
Realize Developing Tactics quasi real time.So IPC can calculate according to prediction data needs the focus of stream control
The stream control time of community and community or the stream control time of the whole network, such that it is able to Scheduling Flow control sets targetedly
The standby stream that carries out is controlled.
Fig. 4 represents the policy control method broad flow diagram described in the embodiment of the present invention.
Shown in Figure 4, policy control method includes:
S401: policy control device obtains the load data of base station sub-system, and carries out described load data
Process, obtain a result；
It is right that described result and the tactful trigger condition preset are carried out by S403: described policy control device
Ratio, obtains a comparative result；
S405: described policy control device triggers corresponding strategy according to described comparative result, and by described phase
Described base station sub-system is implemented stream control by network element and is processed by the strategy answered.
In the technique scheme of the present embodiment, in step S401, IPC utilizes and obtains from OSS system
The dynamic BSC load information taken is to supply IPC management and control strategy reference, and the load data obtained all is indicated
Acquisition time, processes the load data with time attribute, and this process may include that generation load
Index time list and contrasting with described default tactful trigger condition, drew under each time period
Policy List, compares with the trigger condition preset according to result, and the multiple net of comprehensive three-dimensional driving
Unit carries out effective real-time policy management and control, thus ensures that limited Radio Resource is to ensure the use of high-value user
Family is experienced.
Preferably, described load data, when collected, all indicates the time of collection, and described policy control fills
Put the load data obtaining base station, and described load data is processed, obtain a result step and include；
Described load data is processed by described policy control device, generates loading index time list.
Above-mentioned identical embodiment can be used at this to illustrate, it is assumed that the historical time Interval Set of sampling is combined into
T={t1, t2…ti, then all index sets are LI={li1, li2, li3 ... lim}, wherein, and lim={limt, t
∈ T}, then Lit (i)={ li1t(i), li2t(i)…limt(i), t (i)=ti；Lit(i)It it is then loading index time list.
By the technical scheme of the present embodiment, loading index time series and the strategy preset and default strategy
Trigger condition relatively determines the Policy List of triggering.So, the most corresponding group policy under each timeslice,
When the loading index gathered meets a certain trigger condition, trigger corresponding strategy i.e. in real time.
Preferably, trigger corresponding strategy at described policy control device according to described comparative result, and by described
After described base station sub-system is implemented stream control process step by network element by strategy, described policy control method is also
Including:
Described policy control device obtains the load of each historical time according to described loading index time list
Sequence；
Described policy control device calculates the following identical time in advance according to the load sequence of described historical time
Load information, for carrying out Developing Tactics to described base station.
In the technique scheme of the present embodiment, by above-mentioned loading index time list, obtain history
Load time sequence, such as, obtain the loaded list that the time is 10:00 this historical time of point, and this list can
Within including one period, such as from December in 2000 20, this history of 10 days to 2000 on Decembers
The load of each 10:00 in period, then forms loaded list, by using prediction algorithm to realize 2000
Year December 21 daily load prediction, it is assumed that prediction algorithm is g computing.Assume that predicted time collection is combined into
S={s1, s2…si, then index LIS=g (LIT), therefore, trigger condition result c of certain indexnIn timeslice
Can be expressed as under s (i): cns(i)=fn{li1s(i), li2s(i)…limts(i), cns(i)=0,1；Mean all in s (i) time
Index on sheet is made corresponding computing and is obtained 0 or 1,1 representative at the upper loading index of certain time s (i) in the future
Make for comprehensive upper certain strategy trigger condition the following identical time set up, 0 expression is false.Example
As: m=2, li1For half rate ratio index, li2For data service Radio Resource accounting index, then if
Strategy sets fnIt is judged as li1＞ 33.3% and li2＞ 40%, then if predicting now li1=40% and
li2=42%, then strategy trigger condition cnWill be 1, relative strategy control will be triggered.
Preferably, trigger corresponding strategy at described policy control device according to described comparative result, and by institute
Stating corresponding strategy to be sent after the step of described base station by net, described policy control method also includes:
Described policy control device judges whether corresponding strategy relates to the business information of user, and obtains one
Judged result；
When described judged result is the business information that corresponding strategy relates to described user, described strategy
Control device and obtained the business information of described user by user service information data base.
By the technique scheme of the present embodiment, if the strategy triggered needs to relate to the service groups etc. of user
Business information, strategy trigger will obtain corresponding information from BOSS customer data base, and these users believe
Breath may include that
A. the set meal type belonging to user,
B. user's set type, such as data service guarantee group etc..
Therefore, the above embodiment of the present invention is passed through, it can be seen that the method have the advantages that
1, construction centralized management intelligent strategy center IPC, the motility that IPC has in a network are proposed
And expandability, it is to realize utilizing existing network data comprehensively, real-time streams control and the base apparatus of three-dimensional stream control；
2, propose and feed back to IPC generation real-time policy from access network load information and affect access network load
Based on feedback stream prosecutor formula；
3, on the basis of 2, it is proposed that one carries out busy and busy community based on history and near-realtime data
Forecast function node, stream interface driver can be adjusted in real time according to predicting the outcome.
4, propose a kind of three-dimensional implementation method planning as a whole data service stream prosecutor formula, can more efficient and
Save Radio Resource targetedly.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for ability
For the technical staff in territory, the present invention can have various modifications and variations.All in the spirit and principles in the present invention
Within, any modification, equivalent substitution and improvement etc. made, should be included in protection scope of the present invention it
In.
Claims (8)
1. a policy control device, the policy control being applied in mobile Internet, it is characterised in that
Described policy control device connects the OSS OSS in mobile Internet and network element respectively, is used for
From described OSS OSS, obtain the load data of base station sub-system, described load data is entered
Row compares with the tactful trigger condition preset after processing, and draws comparative result, according to described comparative result
Obtain corresponding strategy and by described network element, described base station sub-system implemented at stream control according to described strategy
Reason；
Described policy control device includes:
Data processor, connects OSS OSS, for from described OSS OSS
Obtain the load data of described base station sub-system, and described load data is carried out data cleansing and loading index
Calculate, draw data result of calculation；
Memorizer, for storing described default strategy and described default trigger condition；
Trigger, connects described data processor and described memorizer, based on the described data that will receive
Calculate after result compares with described default tactful trigger condition and obtain described strategy, and by under described strategy
Send out；
Dispensing device, connects described trigger, for receiving and described strategy, and is sent extremely by described strategy
Described network element.
2. policy control device as claimed in claim 1, it is characterised in that
Also include user service information data base, connect described trigger, use for providing for described trigger
Family business information；
Described trigger is additionally operable to according to described data result of calculation to described user service data storehouse acquisition institute
State user service information, and generate described strategy according to described service-user information and described data result of calculation.
3. policy control device as claimed in claim 1 or 2, it is characterised in that also include:
Data-interface, connects input data source, for providing reference data, institute for described policy control device
State reference data and provide basis for obtaining distributing policy for described policy control device.
4. policy control device as claimed in claim 1, it is characterised in that described load data is being obtained
Acquisition time is all indicated when taking, should be with the described load data of time attribute for according to described trigger condition
Generation strategy list, produces real-time policy by described Policy List.
5. policy control device as claimed in claim 4, it is characterised in that described with time attribute
Described load data is additionally operable to realize the load estimation to the following scheduled time, according to prediction by prediction algorithm
Result described base station sub-system is carried out Developing Tactics.
6. a policy control method, it is characterised in that including:
Obtain the load data of base station sub-system, and described load data is processed, obtain result；
Described result is contrasted with the tactful trigger condition preset, obtains comparative result；
Trigger corresponding strategy according to described comparative result, and corresponding strategy is passed through network element to described
Base station sub-system is implemented stream control and is processed；
Described load data, when collected, all indicates the time of collection,
Obtain the load data of base station sub-system, and described load data is processed, obtain result
Step includes:
Described load data is carried out data cleansing and loading index calculates, generate loading index time list；
Described load data is contrasted with the tactful trigger condition preset, obtains comparative result step and include:
Described loading index time list is contrasted with described default tactful trigger condition, draws each
Policy List under time period.
7. policy control method as claimed in claim 6, it is characterised in that comparing knot according to described
Fruit triggers strategy accordingly, and described strategy passes through network element to described base station sub-system is implemented stream control process
After step, also include:
The load sequence of each historical time is obtained according to described loading index time list；
Load sequence according to described historical time calculates the load information of following identical time in advance, for institute
State base station sub-system and carry out Developing Tactics.
8. policy control method as claimed in claim 6, it is characterised in that comparing knot according to described
Fruit triggers corresponding strategy, and to described base station sub-system, corresponding strategy is implemented stream by network element
After control processes step, also include:
Judge whether corresponding strategy relates to the business information of user, and obtain judged result；
When described judged result is the business information that corresponding strategy relates to described user, pass through user
Service information database obtains the business information of described user.
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| CN107291389A (en) * | 2017-06-16 | 2017-10-24 | 郑州云海信息技术有限公司 | The method and apparatus that a kind of storage strategy intelligent trigger is performed |
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| CN101119263A (en) * | 2006-08-04 | 2008-02-06 | 日本电气株式会社 | Wireless lan network system and load control method |
| CN102077636A (en) * | 2009-05-15 | 2011-05-25 | 思科技术公司 | System and method for self-organizing network |
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