CN109982385A - Network intelligence equalization methods and device based on LTE type of service feature - Google Patents
Network intelligence equalization methods and device based on LTE type of service feature Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
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Abstract
The embodiment of the present invention discloses a kind of network intelligence equalization methods and device based on LTE type of service feature, can improve the utilization efficiency of overall network resource, promotes the accuracy of the load balancing based on global resource.Method includes: to adjust the period at each, the average RB occupation condition of each cell all types of user business and average duration in LTE network are calculated based on existing XDR data, and the type of service of each cell all types of user business is denoted as big flow business or small-flow service；The mark of type of service based on average the RB occupation condition, average duration and each cell all types of user business is as a result, obtain the peak-data that each small area carrier all types of user business needs online RB resource simultaneously；The performance feedback in an adjustment period is obtained as a result, carrying out network load equilibrium adjustment to each cell based on the performance feedback result and peak-data.
Description
Technical field
The present embodiments relate to mobile communication LTE (Long Term Evolution, long term evolution) wireless network necks
A kind of domain, and in particular to network intelligence equalization methods and device based on LTE type of service feature.
Background technique
In order to provide corresponding radio resource to all kinds of business of mobile communication subscriber, LTE network passes through outdoor base station and room
Interior Micro-cell mode realizes that network seamless covers.User is in moving process, according to the main serving cell of user occupancy
Level and adjacent cell level conditions, user terminal carry out serving cell selection.In the same cell, if number of users compared with
More, it is that high-speed requires business that customer service, which is concentrated, and just will appear existing cell radio resource, it is impossible to meet user's accesses to need
It asks and wireless traffic carrying needs of problems, customer service perception can occur user's access because of changeless radio resource and gather around
Plug or the perception slower problem of rate.
For problem as proposed above, existing solution divides network performance statistics with engineer
It analyses, perhaps user perceives rate abnormal conditions output network parameter or day to network insertion exception existing for binding analysis data
Coverage direction and Inclination maneuver scheme are presented, and then improves the coverage area of network cell or carries the quantity of customer service, is changed
Kind network user's rate perception.There are the apparent network optimizations to adjust hysteresis quality for the program, is not able to satisfy the existing network area of coverage
Domain user quickly changes and the fast-changing Network adaptation of type of service；The program exists simultaneously the extensive of network Adjusted Option
Property, the distribution character of characteristic and all kinds of business occupancy that resource can not be occupied from all kinds of business is analyzed, is caused after adjusting still
The accuracy of the load balancing based on global resource can not be so promoted, i.e. current device is equal according to existing scheme progress network load
Weigh the mode adjusted, there are biggish limitation, cannot achieve the distribution that Internet resources are carried out according to the actual demand of user,
It cannot achieve the accurate adjustment of cell coverage area, to improve the access performance and service-aware rate of user.
Summary of the invention
In view of the defects existing in the prior art, the embodiment of the present invention provides a kind of network based on LTE type of service feature
Intelligent equalization method and device.
On the one hand, the embodiment of the present invention proposes a kind of network intelligence equalization methods based on LTE type of service feature, packet
It includes:
Period is adjusted at each, calculates the flat of each cell all types of user business in LTE network based on existing XDR data
Equal RB (Right Back, right back) occupation condition and average duration, and by each cell all types of user industry
The type of service of business is denoted as big flow business or small-flow service；
Based on average the RB occupation condition, the industry of average duration and each cell all types of user business
The mark of service type is as a result, obtain the peak value that each small area carrier all types of user business needs online RB resource simultaneously
According to；
The performance feedback in an adjustment period is obtained as a result, based on the performance feedback result and peak-data to described
Each cell carries out network load equilibrium adjustment.
On the other hand, the embodiment of the present invention proposes a kind of network intelligence balancer based on LTE type of service feature, packet
It includes:
Computing unit, for adjusting the period at each, it is each to calculate each cell in LTE network based on existing XDR data
The average RB occupation condition of class customer service and average duration, and by the industry of each cell all types of user business
Service type is denoted as big flow business or small-flow service；
Acquiring unit, for each based on the average RB occupation condition, average duration and each cell
The mark of the type of service of class customer service needs online RB simultaneously as a result, obtaining each small area carrier all types of user business
The peak-data of resource；
Adjustment unit, for obtained the performance feedback in a upper adjustment period as a result, based on the performance feedback result and
Peak-data carries out network load equilibrium adjustment to each cell.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, comprising: processor, memory, bus and are stored in
On memory and the computer program that can run on a processor；
Wherein, the processor, memory complete mutual communication by the bus；
The processor realizes the above method when executing the computer program.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, on the storage medium
It is stored with computer program, which realizes the above method when being executed by processor.
Network intelligence equalization methods and device provided in an embodiment of the present invention based on LTE type of service feature, in conjunction with existing
There are network traffic types to determine that small area carrier all types of user business needs the peak-data of online RB resource simultaneously, according to the peak
Value Data carries out network load equilibrium adjustment to cell, in addition, network performance feedback result is as subsequent cell net after adjusting
The input of network load balancing adjustment forms continuous network adjustment.Pass through as above adjustment in real time, the adjust automatically side of Real-time Feedback
Formula will realize the accurate adjustment of cell coverage area, to greatest extent on-demand accessing user's demand, improve user's sense to greatest extent
Know rate, i.e., compared to the prior art, this programme can improve the utilization efficiency of overall network resource, be promoted based on global resource
The accuracy of load balancing to eliminate the problem of user's access failure perception difference, while increasing more portfolios.
Detailed description of the invention
Fig. 1 is the process of network intelligence equalization methods one embodiment of the embodiment of the present invention based on LTE type of service feature
Schematic diagram；
Fig. 2 is the structure of network intelligence balancer one embodiment of the embodiment of the present invention based on LTE type of service feature
Schematic diagram；
Fig. 3 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, the range of protection of the embodiment of the present invention is belonged to.
Referring to Fig. 1, the present embodiment discloses a kind of network intelligence equalization methods based on LTE type of service feature, comprising:
S1, the period is adjusted at each, calculates each cell all types of user business in LTE network based on existing XDR data
Average RB occupation condition and average duration, and by the type of service of each cell all types of user business indicate
For big flow business or small-flow service；
S2, the average RB occupation condition, average duration and each cell all types of user business are based on
Type of service mark as a result, obtaining the peak value that each small area carrier all types of user business needs online RB resource simultaneously
Data；
S3, the performance feedback in a upper adjustment period was obtained as a result, being based on the performance feedback result and peak-data pair
Each cell carries out network load equilibrium adjustment.
Network intelligence equalization methods provided in an embodiment of the present invention based on LTE type of service feature, in conjunction with existing network
Type of service determines that small area carrier all types of user business needs the peak-data of online RB resource simultaneously, according to the peak-data
Network load equilibrium adjustment is carried out to cell, in addition, network performance feedback result is as subsequent cell network load after adjusting
The input of equilibrium adjustment forms continuous network adjustment.By as above adjustment in real time, the adjust automatically mode of Real-time Feedback will be real
The accurate adjustment of existing cell coverage area, on-demand accessing user's demand, improves user to greatest extent and perceives rate to greatest extent,
I.e. compared to the prior art, this programme can improve the utilization efficiency of overall network resource, and it is equal to promote the load based on global resource
The accuracy of weighing apparatus to eliminate the problem of user's access failure perception difference, while increasing more portfolios.
It is described all kinds of based on each cell in existing XDR data calculating LTE network on the basis of preceding method embodiment
The average RB occupation condition of customer service and average duration, may include:
For each cell, the XDR data of the S1-U interface of the LTE network and the cell of UU interface are acquired, to institute
It states XDR data and multiplex roles merging association is carried out for mark with user task session；
With reference to DPI data-interface specification, the S_O_DPI_LTE_S1U_HTTP field in the XDR data after being associated with is extracted
Value, while the RB occupation condition in UU interface is analyzed, wherein S_O_DPI_LTE_S1U_HTTP field is for marking
Show user task session correspond to business type of service and specific flow；
It should according to the screening of the analysis result of the value of the S_O_DPI_LTE_S1U_HTTP field and RB occupation condition
The RB resource data of the corresponding user occupancy of the high accounting type of service of typical case existing for cell is calculated according to the RB resource data
The average RB occupation condition of the cell all types of user business and average duration.
On the basis of preceding method embodiment, the type of service by each cell all types of user business is indicated
For big flow business or small-flow service, may include:
For each cell, the XDR signaling data in the cell history continuous first quantity day is counted, is believed using the XDR
The user task session of the data statistics cell all types of user business is enabled to record；
User task session record is labeled as period benchmark using the hour passed through；
It is recorded according to the user task session of every class customer service after mark by the type of service of such customer service
It is denoted as big flow business or small-flow service, wherein the business that Mean Speed is greater than the first numerical value is big flow business, is put down
The business that equal rate is less than or equal to first numerical value is small-flow service.
In the present embodiment, first quantity can be set to 7, and first numerical value can be set to 0.8MB/s, certainly
First quantity and the first numerical value, which also can according to need, is set as other numerical value, and details are not described herein again.
It is described based on average the RB occupation condition, average duration on the basis of preceding method embodiment
Mark with the type of service of each cell all types of user business is as a result, obtain each small area carrier all types of user industry
Business needs the peak-data of online RB resource simultaneously, may include:
The peak-data TRbt is calculated, calculation formula isIts
In, N is the quantity of the corresponding type of service of big flow business, and BKi is i-th kind in the corresponding type of service of the big flow business
The service traffics of the business of type, BTi are that the business of the i-th seed type in the big flow business corresponding type of service is averaged
Duration, BRbi are the Rb resource occupation number of the business of the i-th seed type in the corresponding type of service of the big flow business,
M is the quantity of the corresponding type of service of small-flow service, and SKj is jth type in the corresponding type of service of the small-flow service
The service traffics of the business of type, STj are that being averaged for business of jth seed type in the corresponding type of service of the small-flow service is held
Continuous time, SRbj are the Rb resource occupation number of the business of jth seed type in the corresponding type of service of the small-flow service.
On the basis of preceding method embodiment, the performance feedback for obtaining a upper adjustment period is as a result, be based on institute
It states performance feedback result and peak-data and network load equilibrium adjustment is carried out to each cell, may include:
For each cell, if judgement knows that the small area carrier all types of user business needs the peak value of online RB resource simultaneously
Data TRbt is greater than second value, then calculates the ratio RKt that the cell small-flow service accounts for total flow business, calculation formula isWherein, the default ratio for the Rb number of resources that the second value can distribute for the configuration of the cell
The multiple of example,X is first quantity；
The traffic balancing scheme of the cell is determined according to the ratio RKt that the cell small-flow service accounts for total flow business, and
The relevant parameter of the cell is carried out according to the corresponding parameter of traffic balancing scheme and the performance feedback result of the cell
Adjustment；
The performance feedback result in adjustment period is generated after parameter adjustment.
In the present embodiment, the preset ratio can be set to 80%, naturally it is also possible to be set as needed as other numbers
Value, details are not described herein again.If a certain small area carrier all types of user business needs the peak-data TRbt of online RB resource simultaneously
The multiple of the preset ratio for the Rb number of resources that configuration greater than the cell can distribute, then the cell needs to carry out cell load
It is balanced.
On the basis of preceding method embodiment, the ratio that total flow business is accounted for according to the cell small-flow service
RKt determines the traffic balancing scheme of the cell, may include:
Judge that the cell small-flow service accounts for the ratio RKt of total flow business and whether is greater than third value, if more than described
Third value, it is determined that the traffic balancing scheme of the cell is cell boundary users balanced way, if no more than described the
Three numerical value, it is determined that the traffic balancing scheme of the cell is directional user's balanced way；
Wherein, described small to this according to the corresponding parameter of traffic balancing scheme of the cell and the performance feedback result
The relevant parameter in area is adjusted, comprising:
If it is determined that the traffic balancing scheme of the cell is cell boundary users balanced way, then opened by adjusting descending scheduling
Pass and downlink bandwidth parameter, which, which is occupied priority, reduces；Or
If it is determined that the traffic balancing scheme of the cell is directional user's balanced way, then XDR data based on the cell, really
The Target cell switched in the fixed cell using high flow capacity service-user, by being cut based on the cell and the Target cell
Parameter adjustment is changed, by the high flow capacity traffic balancing to the Target cell.
In the present embodiment, the third value can be set to 10%, naturally it is also possible to be set as needed as other numbers
Value, details are not described herein again.If the ratio RKt that a certain cell small-flow service accounts for total flow business is greater than the third value,
Then think that the cell small-flow service is higher, otherwise cell, which needs to shrink mode equilibrium Zone according to cell boarder, then recognizes
It is more for the cell high flow capacity service-user, it needs to be used according to cell relations cell the most close as switching target
The orientation equilibrium at family adjusts.After determining the traffic balancing scheme of the cell, need to carry out according to the traffic balancing scheme small
Area's covering and the adjustment of user's selection parameter.For example, if the traffic balancing scheme of the cell is boundary user balanced way,
It needs to modify the cell common parameter, realizes that cell occupies priority and reduces, design parameter adjusts process are as follows:
Descending scheduling switch MLBALGOSWITCH (if do not opened, descending scheduling is switched and is opened) is revised as parameter
The value -1 of DlSchSwitch；
The peak-data of online RB resource simultaneously is needed to modify downlink according to small area carrier all types of user business according to following table
Bandwidth parameter CELL_BW_N6 is corresponding value:
This programme is based on XDR data, carries out the statistics and calculating of user service data, increases the fining of calculating, with
And the calculating dimension of Zone；With only calculate cell flow original algorithm compared with, this programme can detailed forecasts it is all kinds of
Cell load index, and according to the combination of different business prediction, there are the basic reasons of high load capacity risk for distinguishing cell, together
When, according to the reason of there are high load capacity risks, different equalization schemes is formulated, different parameter adjustment modes is provided.
On the basis of preceding method embodiment, the performance feedback knot that the adjustment period is generated after parameter adjustment
Fruit may include:
In the parameter performance statistics period adjusted, judge whether the cell user occurs and access congestion problems；
If the cell, which does not occur user, accesses congestion problems, the performance feedback result in the adjustment period is null value；Or
If user, which occurs, in the cell accesses congestion problems, the performance feedback result in the adjustment period is by traffic balancing side
The corresponding parameter adjusting step punitive of case is double, wherein if the cell is in corresponding performance statistics week in next adjustment period
Phase does not occur user and accesses congestion problems, then the performance feedback result in next adjustment period is null value.
In the present embodiment, after parameter adjustment, community user Access Control Policy and switchover policy are according to adjusted small
The operation of area's parameter configuration.Meanwhile according to performance statistics period and XDR period, community user access congestion situation is counted,
Analysis, obtains performance feedback as a result, detailed process are as follows:
(1) if the performance statistics period cell user does not occur and accesses congestion problems, the next adjustment period is still
Balance parameters adjustment is carried out according to prediction service conditions；
(2) if congestion situation occurs in the performance statistics period cell, parameter adjustment is carried out in next adjustment period, i.e.,
It needs on the basis of based on prediction service conditions equilibrium assessment thresholding, balance parameters adjusting step punitive is double, such as adjust
Amplitude increases 2db；
(3) on the basis of situation (2), if next performance statistics cycle monitoring is generated to not new congestion problems,
Then when being adjusted in the third XDR period, the adjustment of original punishment is cancelled, still according to based on the equal of prediction service conditions
Weighing apparatus strategy is adjusted.
This programme is described further below based on practical application example:
Assuming that determining that all kinds of APP prediction results of certain cell are as shown in the table in network according to preceding method:
Analyzing the cell and occupying RB resource peak value is 102.98, can distribute the 80% of RB resource more than cell configuration.
Small class of traffic business proportion is 39.21%, therefore, balanced using the full boundary contraction of cell more than the balanced thresholding 20% of setting
Mode realizes traffic balancing.
According to equalization scheme, the MLBALGOSWITCH switch of cell is modified, and adjusts the CELL_BW_N100 parameter of cell
After being configured to 85, the subsequent performance statistics of the cell are good, and there is no variations for big flow business in whole service traffics, specific to flow
Amount data are detailed in following table.
To sum up, it can be seen that the variation of big flow business is the 91.45% of prediction, and small-flow service variation is prediction
55.51%.Meanwhile there is not high load capacity exception in peripheral cell.
Referring to Fig. 2, the present embodiment discloses a kind of network intelligence balancer based on LTE type of service feature, comprising:
Computing unit 1, for adjusting the period at each, it is each to calculate each cell in LTE network based on existing XDR data
The average RB occupation condition of class customer service and average duration, and by the industry of each cell all types of user business
Service type is denoted as big flow business or small-flow service；
Acquiring unit 2, for each based on the average RB occupation condition, average duration and each cell
The mark of the type of service of class customer service needs online RB simultaneously as a result, obtaining each small area carrier all types of user business
The peak-data of resource；
Adjustment unit 3, for obtained the performance feedback in a upper adjustment period as a result, based on the performance feedback result and
Peak-data carries out network load equilibrium adjustment to each cell.
Specifically, the computing unit 1 adjusts the period at each, is calculated based on existing XDR data each in LTE network
The average RB occupation condition of cell all types of user business and average duration, and by each cell all types of user industry
The type of service of business is denoted as big flow business or small-flow service；The acquiring unit is based on the average RB resource occupation
The mark of the type of service of situation, average duration and each cell all types of user business is as a result, obtain described each
Small area carrier all types of user business needs the peak-data of online RB resource simultaneously；The adjustment unit obtained upper adjustment week
The performance feedback of phase is as a result, carry out network load equilibrium to each cell based on the performance feedback result and peak-data
Adjustment.
Network intelligence balancer provided in an embodiment of the present invention based on LTE type of service feature, in conjunction with existing network
Type of service determines that small area carrier all types of user business needs the peak-data of online RB resource simultaneously, according to the peak-data
Network load equilibrium adjustment is carried out to cell, in addition, network performance feedback result is as subsequent cell network load after adjusting
The input of equilibrium adjustment forms continuous network adjustment.By as above adjustment in real time, the adjust automatically mode of Real-time Feedback will be real
The accurate adjustment of existing cell coverage area, on-demand accessing user's demand, improves user to greatest extent and perceives rate to greatest extent,
I.e. compared to the prior art, this programme can improve the utilization efficiency of overall network resource, and it is equal to promote the load based on global resource
The accuracy of weighing apparatus to eliminate the problem of user's access failure perception difference, while increasing more portfolios.
The network intelligence balancer based on LTE type of service feature of the present embodiment, can be used for executing preceding method
The technical solution of embodiment, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
Fig. 3 shows the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, should
Electronic equipment may include: processor 11, memory 12, bus 13 and be stored on memory 12 and can transport on processor 11
Capable computer program；
Wherein, the processor 11, memory 12 complete mutual communication by the bus 13；
The processor 11 realizes method provided by above-mentioned each method embodiment when executing the computer program, such as
Include: to adjust period at each, calculates each cell all types of user business in LTE network based on existing XDR data and be averaged
RB occupation condition and average duration, and the type of service of each cell all types of user business is denoted as flowing greatly
Amount business or small-flow service；It is each based on the average RB occupation condition, average duration and each cell
The mark of the type of service of class customer service needs online RB simultaneously as a result, obtaining each small area carrier all types of user business
The peak-data of resource；The performance feedback in an adjustment period is obtained as a result, based on the performance feedback result and peak value
Network load equilibrium adjustment is carried out according to each cell.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, is stored thereon with computer program, should
Method provided by above-mentioned each method embodiment is realized when computer program is executed by processor, for example, in each tune
Complete cycle, based on existing XDR data calculate LTE network in each cell all types of user business average RB occupation condition and
Average duration, and the type of service of each cell all types of user business is denoted as big flow business or small flow
Business；Based on average the RB occupation condition, the business of average duration and each cell all types of user business
The mark of type is as a result, obtain the peak-data that each small area carrier all types of user business needs online RB resource simultaneously；
The performance feedback in an adjustment period is obtained as a result, based on the performance feedback result and peak-data to each cell
Carry out network load equilibrium adjustment.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.Term " on ", "lower" etc. refer to
The orientation or positional relationship shown is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of the description present invention and simplifies
Description, rather than the device or element of indication or suggestion meaning must have a particular orientation, constructed and grasped with specific orientation
Make, therefore is not considered as limiting the invention.Unless otherwise clearly defined and limited, term " installation ", " connected ",
" connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can be
Mechanical connection, is also possible to be electrically connected；It can be directly connected, two can also be can be indirectly connected through an intermediary
Connection inside element.For the ordinary skill in the art, above-mentioned term can be understood at this as the case may be
Concrete meaning in invention.
In specification of the invention, numerous specific details are set forth.Although it is understood that the embodiment of the present invention can
To practice without these specific details.In some instances, well known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this specification.Similarly, it should be understood that disclose in order to simplify the present invention and helps to understand respectively
One or more of a inventive aspect, in the above description of the exemplary embodiment of the present invention, each spy of the invention
Sign is grouped together into a single embodiment, figure, or description thereof sometimes.However, should not be by the method solution of the disclosure
Release is in reflect an intention that i.e. the claimed invention requires more than feature expressly recited in each claim
More features.More precisely, as the following claims reflect, inventive aspect is less than single reality disclosed above
Apply all features of example.Therefore, it then follows thus claims of specific embodiment are expressly incorporated in the specific embodiment,
It is wherein each that the claims themselves are regarded as separate embodiments of the invention.It should be noted that in the absence of conflict, this
The feature in embodiment and embodiment in application can be combined with each other.The invention is not limited to any single aspect,
It is not limited to any single embodiment, is also not limited to any combination and/or displacement of these aspects and/or embodiment.And
And can be used alone each aspect and/or embodiment of the invention or with other one or more aspects and/or its implementation
Example is used in combination.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of network intelligence equalization methods based on LTE type of service feature characterized by comprising
The period is adjusted at each, the average RB of each cell all types of user business in LTE network is calculated based on existing XDR data
Occupation condition and average duration, and the type of service of each cell all types of user business is denoted as big flow
Business or small-flow service；
Based on average the RB occupation condition, the service class of average duration and each cell all types of user business
The mark of type is as a result, obtain the peak-data that each small area carrier all types of user business needs online RB resource simultaneously；
The performance feedback in an adjustment period is obtained as a result, based on the performance feedback result and peak-data to described each
Cell carries out network load equilibrium adjustment.
2. the method according to claim 1, wherein described based on each in existing XDR data calculating LTE network
The average RB occupation condition of cell all types of user business and average duration, comprising:
For each cell, the XDR data of the S1-U interface of the LTE network and the cell of UU interface are acquired, to the XDR
Data are that mark carries out multiplex roles merging association with user task session；
With reference to DPI data-interface specification, the value of the S_O_DPI_LTE_S1U_HTTP field in XDR data after extracting association,
The RB occupation condition in UU interface is analyzed simultaneously；
The cell is screened according to the analysis result of the value of the S_O_DPI_LTE_S1U_HTTP field and RB occupation condition
The RB resource data of the corresponding user occupancy of the existing high accounting type of service of typical case, it is small to calculate this according to the RB resource data
The average RB occupation condition of area's all types of user business and average duration.
3. the method according to claim 1, wherein the business by each cell all types of user business
Type designation is big flow business or small-flow service, comprising:
For each cell, the XDR signaling data in the cell history continuous first quantity day is counted, utilizes the XDR signaling number
The user task session record of the cell all types of user business according to statistics；
User task session record is labeled as period benchmark using the hour passed through；
The type of service of such customer service is indicated according to the user task session of every class customer service after mark record
For big flow business or small-flow service, wherein the business that Mean Speed is greater than the first numerical value is big flow business, average speed
The business that rate is less than or equal to first numerical value is small-flow service.
4. according to the method in claim 2 or 3, which is characterized in that described to be based on the average RB occupation condition, put down
The mark of the type of service of equal duration and each cell all types of user business is as a result, obtain each small area carrier
All types of user business needs the peak-data of online RB resource simultaneously, comprising:
The peak-data TRbt is calculated, calculation formula isWherein, N is
The quantity of the corresponding type of service of big flow business, BKi are the i-th seed type in the corresponding type of service of the big flow business
The service traffics of business, BTi are when averagely continuing of the business of the i-th seed type in the corresponding type of service of the big flow business
Between, BRbi is the Rb resource occupation number of the business of the i-th seed type in the corresponding type of service of the big flow business, and M is small
The quantity of the corresponding type of service of flow business, SKj are the industry of jth seed type in the corresponding type of service of the small-flow service
The service traffics of business, STj are when averagely continuing of the business of jth seed type in the corresponding type of service of the small-flow service
Between, SRbj is the Rb resource occupation number of the business of jth seed type in the corresponding type of service of the small-flow service.
5. according to the method described in claim 4, it is characterized in that, the performance feedback knot for obtaining a upper adjustment period
Fruit carries out network load equilibrium adjustment to each cell based on the performance feedback result and peak-data, comprising:
For each cell, if judgement knows that the small area carrier all types of user business needs the peak-data of online RB resource simultaneously
TRbt is greater than second value, then calculates the ratio RKt that the cell small-flow service accounts for total flow business, calculation formula isWherein, the default ratio for the Rb number of resources that the second value can distribute for the configuration of the cell
The multiple of example,X is first quantity；
Determine the traffic balancing scheme of the cell according to the ratio RKt that the cell small-flow service accounts for total flow business, and according to
The corresponding parameter of traffic balancing scheme and the performance feedback result of the cell are adjusted the relevant parameter of the cell；
The performance feedback result in adjustment period is generated after parameter adjustment.
6. according to the method described in claim 5, it is characterized in that, described account for total flow business according to the cell small-flow service
Ratio RKt determine the traffic balancing scheme of the cell, comprising:
Judge that the cell small-flow service accounts for the ratio RKt of total flow business and whether is greater than third value, if more than the third
Numerical value, it is determined that the traffic balancing scheme of the cell is cell boundary users balanced way, if no more than the third number
Value, it is determined that the traffic balancing scheme of the cell is directional user's balanced way；
Wherein, the corresponding parameter of traffic balancing scheme and the performance feedback result according to the cell is to the cell
Relevant parameter is adjusted, comprising:
If it is determined that the traffic balancing scheme of the cell be cell boundary users balanced way, then by adjusting descending scheduling switch and
Downlink bandwidth parameter, which, which is occupied priority, reduces；Or
If it is determined that the traffic balancing scheme of the cell is directional user's balanced way, then the XDR data based on the cell, determine and are somebody's turn to do
The Target cell switched in cell using high flow capacity service-user, by switching over ginseng based on the cell and the Target cell
Number adjustment, by the high flow capacity traffic balancing to the Target cell.
7. according to the method described in claim 5, it is characterized in that, the performance for generating the adjustment period after parameter adjustment
Feedback result, comprising:
In the parameter performance statistics period adjusted, judge whether the cell user occurs and access congestion problems；
If the cell, which does not occur user, accesses congestion problems, the performance feedback result in the adjustment period is null value；Or
If user, which occurs, in the cell accesses congestion problems, the performance feedback result in the adjustment period is by traffic balancing scheme pair
The parameter adjusting step punitive answered is double, wherein if the cell the corresponding performance statistics period in next adjustment period not
There is user and access congestion problems, then the performance feedback result in next adjustment period is null value.
8. a kind of network intelligence balancer based on LTE type of service feature characterized by comprising
Computing unit calculates each all kinds of use of cell in LTE network based on existing XDR data for adjusting the period at each
The average RB occupation condition of family business and average duration, and by the service class of each cell all types of user business
Type is denoted as big flow business or small-flow service；
Acquiring unit, for based on the average RB occupation condition, average duration and all kinds of use of each cell
The mark of the type of service of family business needs online RB resource simultaneously as a result, obtaining each small area carrier all types of user business
Peak-data；
Adjustment unit, for obtaining the performance feedback in a upper adjustment period as a result, based on the performance feedback result and peak value
Data carry out network load equilibrium adjustment to each cell.
9. a kind of electronic equipment characterized by comprising processor, memory, bus and storage on a memory and can located
The computer program run on reason device；
Wherein, the processor, memory complete mutual communication by the bus；
The processor realizes such as method of any of claims 1-7 when executing the computer program.
10. a kind of non-transient computer readable storage medium, which is characterized in that be stored with computer journey on the storage medium
Sequence realizes such as method of any of claims 1-7 when the computer program is executed by processor.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112804757A (en) * | 2020-12-30 | 2021-05-14 | 联想未来通信科技(重庆)有限公司 | Switching method and device for frequency domain resource allocation types and readable storage medium |
| CN113515828A (en) * | 2021-05-06 | 2021-10-19 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for energy compensation |
| CN113784376A (en) * | 2021-09-28 | 2021-12-10 | 中国联合网络通信集团有限公司 | Communication system processing method, server and storage medium |
| CN114567886A (en) * | 2020-11-27 | 2022-05-31 | ***通信集团湖南有限公司 | Network planning method, device, equipment and computer storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196498A (en) * | 2010-03-12 | 2011-09-21 | 鼎桥通信技术有限公司 | High speed carrier load allocation method |
| CN102256307A (en) * | 2011-06-21 | 2011-11-23 | 北京邮电大学 | Method and system for balancing distributed load in LTE (Long Term Evolution) access network |
| CN102984763A (en) * | 2012-12-13 | 2013-03-20 | 北京北方烽火科技有限公司 | Method and device for resolving conflict between mobility robustness optimisation and load balancing optimisation |
| CN104022920A (en) * | 2014-06-26 | 2014-09-03 | 重庆重邮汇测通信技术有限公司 | LTE (long term evolution) network flow recognition system and method |
| US9806973B2 (en) * | 2014-03-18 | 2017-10-31 | Ciena Corporation | Bandwidth analytics in a software defined network (SDN) controlled multi-layer network for dynamic estimation of power consumption |
-
2017
- 2017-12-27 CN CN201711449567.7A patent/CN109982385B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196498A (en) * | 2010-03-12 | 2011-09-21 | 鼎桥通信技术有限公司 | High speed carrier load allocation method |
| CN102256307A (en) * | 2011-06-21 | 2011-11-23 | 北京邮电大学 | Method and system for balancing distributed load in LTE (Long Term Evolution) access network |
| CN102984763A (en) * | 2012-12-13 | 2013-03-20 | 北京北方烽火科技有限公司 | Method and device for resolving conflict between mobility robustness optimisation and load balancing optimisation |
| US9806973B2 (en) * | 2014-03-18 | 2017-10-31 | Ciena Corporation | Bandwidth analytics in a software defined network (SDN) controlled multi-layer network for dynamic estimation of power consumption |
| CN104022920A (en) * | 2014-06-26 | 2014-09-03 | 重庆重邮汇测通信技术有限公司 | LTE (long term evolution) network flow recognition system and method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114567886A (en) * | 2020-11-27 | 2022-05-31 | ***通信集团湖南有限公司 | Network planning method, device, equipment and computer storage medium |
| CN114567886B (en) * | 2020-11-27 | 2023-09-01 | ***通信集团湖南有限公司 | Network planning method, device, equipment and computer storage medium |
| CN112804757A (en) * | 2020-12-30 | 2021-05-14 | 联想未来通信科技(重庆)有限公司 | Switching method and device for frequency domain resource allocation types and readable storage medium |
| CN113515828A (en) * | 2021-05-06 | 2021-10-19 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for energy compensation |
| CN113515828B (en) * | 2021-05-06 | 2023-09-29 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for energy compensation |
| CN113784376A (en) * | 2021-09-28 | 2021-12-10 | 中国联合网络通信集团有限公司 | Communication system processing method, server and storage medium |
| CN113784376B (en) * | 2021-09-28 | 2023-06-13 | 中国联合网络通信集团有限公司 | Communication system processing method, server and storage medium |
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|---|---|
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