CN108770017A - A kind of radio resource method for dynamically balancing and system, computer program - Google Patents
A kind of radio resource method for dynamically balancing and system, computer program Download PDFInfo
- Publication number
- CN108770017A CN108770017A CN201810504055.4A CN201810504055A CN108770017A CN 108770017 A CN108770017 A CN 108770017A CN 201810504055 A CN201810504055 A CN 201810504055A CN 108770017 A CN108770017 A CN 108770017A
- Authority
- CN
- China
- Prior art keywords
- radio resource
- volume reduction
- data
- traffic
- minutes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention belongs to technical field of communication network, discloses a kind of radio resource method for dynamically balancing and system, computer program, data processing node collect traffic statistics, parameter configuration data and collection scheme from LTE system；Tactful decision node is judged whether to carry out expanding volume reduction operation by license policy control steps according to statistical data；It executes node and automatically generates and expand volume reduction command script, connection LTE system executes operation, and collects executive condition.The present invention expands the balanced way of volume reduction automatically, saves a large amount of costs of labor.It shortens traffic analysis and expands the volume reduction period, Multi-Carrier Radio Resource equalization efficiency is greatly improved；The flexible resource allocation mode of the equal balance system of radio resource can be good at coping with " traffic tidal effect "；Keep the equilibrium of radio resource more accurate using the machine learning prediction algorithm based on big data；A large amount of license costs are saved.
Description
Technical field
The invention belongs to technical field of communication network more particularly to a kind of radio resource method for dynamically balancing and system, meter
Calculation machine program.
Background technology
Currently, the prior art commonly used in the trade is such：
Carrier wave is the radio resource for carrying user's communication, is present in LTE system by way of static configuration.
When the load growth of network, operating personnel manually perform dilatation operation；And when network load reduces, then carry out volume reduction behaviour
Make.
In recent years, with LTE user's rapid development, the especially release of " unlimited flow package " so that LTE network is born
Lotus increases severely.
In conclusion problem of the existing technology is：
The mode of existing manual carrier wave scheduling has been unable to meet requirement, and disadvantage is embodied in following several sides with limitation
Face：First, inefficiency is manually adjusted, the period is more than 24 hours, it is difficult to reach portfolio effect；
Second, it is difficult to which coping with traffic tidal effect, (for example Administrative Area portfolio on daytime is high, and low this of evening portfolio
Kind periodic traffic change conditions)；
Third, manually adjusts that the level of resources utilization is low, causes the waste of carrier resource.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of radio resource method for dynamically balancing and system, meters
Calculation machine program.The present invention copes with portfolio and increases, and improves equalization efficiency and carrier wave utilization ratio.
The invention is realized in this way a kind of radio resource method for dynamically balancing, the radio resource method for dynamically balancing
Including：
Data processing node collects traffic statistics, parameter configuration data and collection scheme from LTE system；
Tactful decision node is judged whether to carry out expanding volume reduction behaviour by license policy control steps according to statistical data
Make；
It executes node and automatically generates and expand volume reduction command script, connection LTE system executes operation, and collects executive condition.
Further, traffic statistics, parameter configuration data, including：
NRM data configure Parameter File, radio resource dynamic equalization system daily morning 3 for LTE network:00 connects automatically
It connects NRM collection of server and obtains newest LTE network configuration parameter；
2) PM data, be LTE network traffic measurement file, the operation conditions for characterizing network, radio resource dynamic it is equal
Balance system acquires newest PM files in every 15 minutes, to obtain the network load situation of nearest 15 minutes granularities.
Further, 15 minutes size indicator judgment methods include：
15 minutes size indicator judgment methods of dilatation：In continuous 4 15 minutes grain size statistics periods, nearest one 15 minutes
Traffic volume measurement index is more than the mean value of described 4 15 minutes statistics, and portfolio rises；
15 minutes size indicator judgment methods of volume reduction：In continuous 4 15 minutes grain size statistics periods, exist comprising nearest 1
2 15 minutes statistical time ranges of a 15 minutes grain size statistics, satisfaction tear not busy condition open；
Tearing not busy condition open includes：Upstream utilization<18%, and uplink traffic<0.0375GB, and downstream utilization<18%, and
Downlink traffic<0.25GB.
Further, tactful decision node is judged whether to carry out expanding volume reduction operation, tool by strategy step according to statistical data
Body includes：
Check dual carrier license surpluses：When one carrier wave of dilatation, license quantity reduces 1；When one load of volume reduction
License quantity increases by 1 when wave；
As no dual carrier license, the cell of dilatation undetermined enters process wait state, judges without next step,
And when the stand-by period is more than 15 minutes, the cell of dilatation undetermined re-starts 15 minutes size indicators and judges.
Further, expansion method includes：
According to nearest one month historical traffic statistical data, there is high load capacity in analysis 24 hours each periods of cell
Probability meet dilatation condition if the period or next period high load capacity probability described in 2 are all higher than 30%, it is specific to wrap
It includes：
Resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database；
Grain size statistics analyze the traffic load of all periods by the hour, if meet high load capacity thresholding；
Assignment, nearest 1 day period denominator assignment 1, if the period were carried out to January in past according to chronological order
For high load capacity, then molecule is 1, is then 0 if not high load capacity molecule, weights are with 0.03 for unit tapered dosage；Weighting summarizes one
The value of segment molecule and denominator, obtains the ratio of the period high load capacity when moon is corresponding；
Volume reduction method includes：
According to nearest one month historical traffic statistical data, there is underload in analysis 24 hours each periods of cell
Probability meet volume reduction condition if the period and later three periods underload probability are all higher than 60%, it is specific to wrap
It includes：
Resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database；
Grain size statistics analyze the traffic load of all periods by the hour, if meet underload thresholding；
Assignment, nearest 1 day period denominator assignment 1, if the period were carried out to January in past according to chronological order
For underload, then molecule is 1, and if not underload, then molecule is 0, and for weights with 0.03 for unit tapered dosage, weighting summarizes one
The value of segment molecule and denominator, obtains the ratio of the period underload when moon is corresponding.
Further, the method for license policy controls includes：
Overall setting grade 1, grade 2, grade 3 totally three priority from high to low, the dilatation task automatically generated with subtract
Appearance task is grade 3, is initially sorted by the time sequencing of generation task；
License quantity<Volume reduction task priority is automatically regulated to be grade 2 when=30；
License quantity>Volume reduction task priority is automatically regulated to be grade 3 when=50；
License quantity>When=10%* equilibrium system management and control cell sums, system does not execute volume reduction operation；
Artificial task priority of formulating is grade 1；
It executes node and automatically generates and expand in volume reduction command script, the automatic production method of command script includes：
Daily EUtranCellTDD tables add up to a cell table, removal repeats to retain nearest date cell data, and increases
Add days column；
When making the instruction of dilatation cell, the cell table is verified, and if so, obtaining the corresponding date, inquires the corresponding date
Other parameters table obtains the cell parameter, and makes instruction；If there is no the cell, then by inheriting main plot parameter
Mode makes dilatation instruction；
After daily morning system collects newest NRM data, automatic prefabricated all cell scripts.
Another object of the present invention is to provide a kind of computer programs for realizing the radio resource method for dynamically balancing.
At a kind of information data for realizing the radio resource method for dynamically balancing
Manage terminal.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation so that computer executes the radio resource method for dynamically balancing.
Another object of the present invention is to provide a kind of radio resource dynamic equalization systems, including：
LTE system, for collecting traffic statistics, parameter configuration data；
System server is dispatched, the type and collection scheme of collected statistical data are provided；
Data module collects traffic statistics, parameter configuration data from LTE system；
Data are analyzed in policy module, and are made and expanded volume reduction strategy；
Execution module, connection LTE system execute relevant operation,
Web client, complete monitoring and management all operationss.
In conclusion advantages of the present invention and good effect are：
The present invention expands the balanced way of volume reduction automatically, saves a large amount of costs of labor.It shortens traffic analysis and expands volume reduction
Period, Multi-Carrier Radio Resource equalization efficiency are greatly improved.
The flexible resource allocation mode of the equal balance system of radio resource of the present invention can be good at coping with " traffic tidal effect ".
The present invention keeps the equilibrium of radio resource more accurate using the machine learning prediction algorithm based on big data.
Dynamic resource allocation of the present invention, more rationally with existing dual carrier license resources are adequately utilized, save
A large amount of license costs.
Dynamic is reduced in the configuration quantity of portfolio idle, Multi-Carrier Radio Resource, there is good effects of energy saving and emission reduction.This
Invention proposes a kind of system architecture design.
Disclose a kind of 15 minutes size indicator Rule of judgment.As dilatation condition, the base for predicting high load capacity probability
In the machine learning prediction algorithm of big data.As volume reduction condition, the machine based on big data for predicting underload probability
Learn prediction algorithm.
Also disclose the license policy controls for task hierarchical management and task queue.Disclose instruction foot
This automatic production method.Achieve good result.
Description of the drawings
Fig. 1 is radio resource dynamic equalization system schematic provided in an embodiment of the present invention.
Fig. 2 is radio resource method for dynamically balancing flow chart provided in an embodiment of the present invention.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The mode of existing manual carrier wave scheduling has been unable to meet requirement, and disadvantage is embodied in following several sides with limitation
Face：First, inefficiency is manually adjusted, the period is more than 24 hours, it is difficult to reach portfolio effect；
Second, it is difficult to which coping with traffic tidal effect, (for example Administrative Area portfolio on daytime is high, and low this of evening portfolio
Kind periodic traffic change conditions)；
Third, manually adjusts that the level of resources utilization is low, causes the waste of carrier resource.
With reference to concrete analysis, the invention will be further described.
Fig. 1 is radio resource dynamic equalization system provided in an embodiment of the present invention, including：
LTE system, for collecting traffic statistics, parameter configuration data；
System server is dispatched, the type and collection scheme of collected statistical data are provided；
Data module collects traffic statistics, parameter configuration data from LTE system；
Data are analyzed in policy module, and are made and expanded volume reduction strategy；
Execution module, connection LTE system execute relevant operation,
Web client, complete monitoring and management all operationss.
Fig. 2, radio resource method for dynamically balancing provided in an embodiment of the present invention, this flow include mainly data processing, plan
Slightly judge and operate to execute.
Data processing node provides the type and collection scheme of collected statistical data；
Tactful decision node is judged whether to carry out expanding volume reduction operation by strategy step according to statistical data；
It executes node to be responsible for automatically generating expansion volume reduction command script, connection LTE system executes operation, and collects execution feelings
Condition.
With reference to specific embodiment, the invention will be further described.
1.NRM and PM data loadings
(1) NRM data are that LTE network configures Parameter File, radio resource dynamic equalization system daily morning 3:00 is automatic
It connects NRM collection of server and obtains newest LTE network configuration parameter, specific parameter table includes：
GsmReselectionTDD
EUtranReselectionTDD
EUtranCellMeasurementTDD
EUtranCellTDD
EutranRelation
PrachTDD
PowerControlULTDD
PowerControlDLTDD
PhyChannelTDD
VoLTEConfigCellTDD
GsmRelation
ExternalGsmCellTDD
ECellEquipmentFunctionTDD
(2) PM data be LTE network traffic measurement file, the operation conditions for characterizing network, radio resource dynamic it is equal
Balance system acquires newest PM files in every 15 minutes, to obtain the network load situation of nearest 15 minutes granularities, specific storage statistics
Table includes：
EpRpDynS1uEnb
EthernetPort
EutranCellTdd
EutranRelationTdd
GsmRelation
InventoryUnitRru
ManagedElement
SctpAssoc
2.15 minutes size indicator Rule of judgment
(1) part includes two parallel Rule of judgment, corresponds to dilatation and volume reduction respectively, the index of 15 minutes granularities is PM
Data, time granularity such as 7:00~7:15,7:15~7:30,7:30~7:45,7:45~8:00, the number of minutes is 15 integer
Period again.PM tables used in condition judgment are EutranCellTdd, and specific targets and computational methods include：
(2) 15 minutes size indicator Rule of judgment of dilatation, in continuous 4 15 minutes grain size statistics periods, nearest one 15
Minute traffic volume measurement index is more than the mean values of 4 15 minutes statistics, which, which meets, illustrates that portfolio has becoming for rising
Gesture.Specifically comparing index is：
Nearest 15 minutes upstream utilization PUSCH>Nearest 1 hour upstream utilization PUSCH mean values
Nearest 15 minutes downstream utilization PUSCH>Nearest 1 hour downstream utilization PUSCH mean values
Nearest 15 minutes downstream utilization PDCCH>Nearest 1 hour downstream utilization PDCCH mean values
Nearest 15 minutes uplink traffics>Nearest 1 hour uplink traffic mean value
Nearest 15 minutes downlink traffics>Nearest 1 hour downlink traffic mean value
And nearest 15 minutes upstream or downstream are more than such as Lower Threshold
| Link | Upstream utilization PUSCH | Uplink traffic (GB) |
| Uplink | 50% | 0.075 |
| Link | Downlink traffic (GB) | Downstream utilization PDSCH/PDCCH |
| Downlink | 0.875 | 50%/50% |
Note：Downstream utilization PDSCH/PDCCH two indices one of them reach 50% think downstream utilization meet
Condition.
(3) 15 minutes size indicator Rule of judgment of volume reduction in continuous 4 15 minutes grain size statistics periods, exist comprising most
2 15 minutes statistical time ranges satisfaction of nearly 1 15 minutes grain size statistics tears not busy condition open.Actual conditions are as follows：
Upstream utilization<18% and uplink traffic<0.0375GB and downstream utilization (PDSCH and PDCCH)<18% and under
Row flow<0.25GB.
3, dual carrier license surpluses are checked
Dual carrier license quantity is resource pool concept, and when one carrier wave of dilatation, license quantity reduces 1, similarly
When one carrier wave of volume reduction, license quantity increases by 1.
When in system without dual carrier license, the cell of dilatation undetermined enters process wait state, without in next step
Judge, and when the stand-by period is more than 15 minutes, which re-starts 15 minutes size indicators and judges flow.
4, dilatation condition
Machine learning prediction algorithm based on big data：According to nearest one month historical traffic statistical data, analysis
There is the probability of high load capacity in 24 hours each periods of cell, if the period or next period high load capacity probability described in 2 are equal
More than 30%, then meet dilatation condition, concrete methods of realizing is as follows：
(1) resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database.
(2) grain size statistics analyze the traffic load of all periods by the hour, if meet high load capacity thresholding.
| Link | Upstream utilization PUSCH | Uplink traffic (GB) |
| Uplink | 40% | 0.25 |
| Link | Downstream utilization PDSCH/PDCCH | Downlink traffic (GB) |
| Downlink | 40%/40% | 2.5 |
Note：Downstream utilization PDSCH/PDCCH two indices one of them reach 40% think downstream utilization meet
Condition；Uplink meets or downlink satisfaction then thinks that the period is the high load capacity period.
(3) according to chronological order to January in past carry out assignment, nearest 1 day period denominator assignment 1, if this when
Section be that then molecule is 1 to high load capacity, if not high load capacity molecule then be 0, weights with 0.03 be unit tapered dosage, so add
Power summarizes the value of segment molecule and denominator when corresponding to January, and then obtains the ratio of the period high load capacity.
Specific certain period high load capacity probability P t=(h1+h2+ ...+h30)/(1+0.97+0.94+ ...+0.1)；
H1 ... h30 refer to whether the period in nearest January is high load capacity period institute's assignment.
5, volume reduction condition
Machine learning prediction algorithm based on big data：According to nearest one month historical traffic statistical data, analysis
There is the probability of underload in 24 hours each periods of cell, if the period and later three period underloads described in 2 are general
Rate is all higher than 60%, then meets volume reduction condition, and concrete methods of realizing is as follows：
(1) resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database.
(2) grain size statistics analyze the traffic load of all periods by the hour, if meet underload thresholding.
Upstream utilization<25% and uplink traffic<0.18GB and downstream utilization PDSCH<25% and downstream utilization
PDCCH<25% and downlink traffic<1.2GB
(3) according to chronological order to January in past carry out assignment, nearest 1 day period denominator assignment 1, if this when
Section be that then molecule is 1 to underload, if not underload then molecule be 0, weights with 0.03 be unit tapered dosage, so add
Power summarizes the value of segment molecule and denominator when corresponding to January, and then obtains the ratio of the period underload.
Specific certain period underload probability P t=(d1+d2+ ...+d30)/(1+0.97+0.94+ ...+0.1)
D1 ... d30 refer to whether the period in nearest January is underload period institute's assignment.
6, license policy controls
Equal balance system can generate multiple dilatations and volume reduction task simultaneously, these tasks can only execute one by one, therefore just need
Priority ranking is carried out to task, equal balance system is by license resource quantities come control task priority policy.
(1), overall setting grade 1, grade 2, grade 3 totally three priority from high to low, the dilatation task automatically generated
It is grade 3 with volume reduction task, initial sequence is carried out by the time sequencing of generation task
(2), license quantity<Volume reduction task priority is automatically regulated to be grade 2 when=30,
License quantity>Volume reduction task priority is automatically regulated to be grade 3 when=50
(3), license quantity>When=10%* equilibrium system management and control cell sums, system does not execute volume reduction operation
(4), it is grade 1. manually to formulate task priority
7, it is lined up and executes
Equal balance system automatically generates command script according to NRM data, and presses the Queue sequence in 6, connects LTE operation system
Execute dilatation or volume reduction operation.
The automatic production method of command script：
(1), daily EUtranCellTDD tables are added up to a cell table, removal repeats to retain nearest date cell data,
And increase days column.
(2), when making the instruction of dilatation cell, the cell table is verified, and if so, obtaining the corresponding date, inquires corresponding day
The other parameters table of phase, obtains the cell parameter, and makes instruction；If there is no the cell, then by inheriting main plot ginseng
Several modes makes dilatation instruction.
(3), after daily morning system collects newest NRM data, automatic prefabricated all cell scripts.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its arbitrary combination real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Flow described in the embodiment of the present invention or function.The computer can be all-purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction can store in a computer-readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer read/write memory medium can be that any usable medium that computer can access either includes one
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state disk Solid
State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (10)
1. a kind of radio resource method for dynamically balancing, which is characterized in that the radio resource method for dynamically balancing includes：
Data processing node collects traffic statistics, parameter configuration data and collection scheme from LTE system；
Tactful decision node is judged whether to carry out expanding volume reduction operation by license policy control steps according to statistical data；
It executes node and automatically generates and expand volume reduction command script, connection LTE system executes operation, and collects executive condition.
2. radio resource method for dynamically balancing as described in claim 1, which is characterized in that traffic statistics, parameter configuration
Data, including：
NRM data configure Parameter File, radio resource dynamic equalization system daily morning 3 for LTE network:00 automatic connection NRM
Collection of server obtains newest LTE network and configures parameter；
2) PM data are LTE network traffic measurement file, the operation conditions for characterizing network, radio resource dynamic equalization system
It unites every 15 minutes and acquires newest PM files, to obtain the network load situation of nearest 15 minutes granularities.
3. radio resource method for dynamically balancing as claimed in claim 2, which is characterized in that 15 minutes size indicator judgment methods
Including：
15 minutes size indicator judgment methods of dilatation：In continuous 4 15 minutes grain size statistics periods, nearest 15 minutes business
The mean value that statistical indicator is more than described 4 15 minutes statistics is measured, portfolio rises；
15 minutes size indicator judgment methods of volume reduction：In continuous 4 15 minutes grain size statistics periods, exist comprising nearest 1 15
2 15 minutes statistical time ranges of minute grain size statistics, satisfaction tear not busy condition open；
Tearing not busy condition open includes：Upstream utilization<18%, and uplink traffic<0.0375GB, and downstream utilization<18%, and downlink
Flow<0.25GB.
4. radio resource method for dynamically balancing as described in claim 1, which is characterized in that tactful decision node is according to statistical number
According to judging whether should to carry out by strategy step to expand volume reduction operation, specifically include：
Check dual carrier license surpluses：When one carrier wave of dilatation, license quantity reduces 1；When one carrier wave of volume reduction
License quantity increases by 1；
As no dual carrier license, the cell of dilatation undetermined enters process wait state, judges without next step, and works as
Stand-by period is more than 15 minutes, and the cell of dilatation undetermined re-starts 15 minutes size indicators and judges.
5. radio resource method for dynamically balancing as claimed in claim 4, which is characterized in that expansion method includes：
According to nearest one month historical traffic statistical data, there is the general of high load capacity in analysis 24 hours each periods of cell
Rate meets dilatation condition, specifically includes if the period or next period high load capacity probability described in 2 are all higher than 30%：
Resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database；
Grain size statistics analyze the traffic load of all periods by the hour, if meet high load capacity thresholding；
According to chronological order to carrying out assignment, nearest 1 day period denominator assignment 1 January in past, if the period is height
Then molecule is 1 to load, is then 0 if not high load capacity molecule, weights are with 0.03 for unit tapered dosage；Weighting summarizes January pair
The value of seasonable segment molecule and denominator, obtains the ratio of the period high load capacity；
Volume reduction method includes：
According to nearest one month historical traffic statistical data, there is the general of underload in analysis 24 hours each periods of cell
Rate meets volume reduction condition, specifically includes if the period and later three periods underload probability are all higher than 60%：
Resources balance system daily morning 2:00, traffic volume measurement data in January before being obtained from database；
Grain size statistics analyze the traffic load of all periods by the hour, if meet underload thresholding；
According to chronological order to carrying out assignment, nearest 1 day period denominator assignment 1 January in past, if the period is low
Then molecule is 1 to load, and if not underload, then molecule is 0, and for weights with 0.03 for unit tapered dosage, weighting summarizes January pair
The value of seasonable segment molecule and denominator, obtains the ratio of the period underload.
6. radio resource method for dynamically balancing as described in claim 1, which is characterized in that the method for license policy controls
Including：
Totally three priority, the dilatation task automatically generated are appointed with volume reduction for grade 1, grade 2, grade 3 from high to low for overall setting
Business is grade 3, is initially sorted by the time sequencing of generation task；
License quantity<Volume reduction task priority is automatically regulated to be grade 2 when=30；
License quantity>Volume reduction task priority is automatically regulated to be grade 3 when=50；
License quantity>When=10%* equilibrium system management and control cell sums, system does not execute volume reduction operation；
Artificial task priority of formulating is grade 1；
It executes node and automatically generates and expand in volume reduction command script, the automatic production method of command script includes：
Daily EUtranCellTDD tables add up to a cell table, removal repeats to retain nearest date cell data, and increases day
Phase arranges；
When making the instruction of dilatation cell, the cell table is verified, and if so, obtaining the corresponding date, inquires the corresponding date other
Parameter list obtains the cell parameter, and makes instruction；If there is no the cell, then by way of inheriting main plot parameter
Make dilatation instruction；
After daily morning system collects newest NRM data, automatic prefabricated all cell scripts.
7. a kind of computer program for realizing radio resource method for dynamically balancing described in claim 1~6 any one.
8. a kind of information data processing terminal for realizing radio resource method for dynamically balancing described in claim 1~6 any one.
9. a kind of computer readable storage medium, including instruction, when run on a computer so that computer is executed as weighed
Profit requires the radio resource method for dynamically balancing described in 1-6 any one.
10. a kind of radio resource dynamic equalization system for realizing radio resource method for dynamically balancing described in claim 1, feature
It is, the radio resource dynamic equalization system includes：
LTE system, for collecting traffic statistics, parameter configuration data；
System server is dispatched, the type and collection scheme of collected statistical data are provided；
Data module collects traffic statistics, parameter configuration data from LTE system；
Data are analyzed in policy module, and are made and expanded volume reduction strategy；
Execution module, connection LTE system execute relevant operation,
Web client, complete monitoring and management all operationss.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810504055.4A CN108770017B (en) | 2018-05-23 | 2018-05-23 | Dynamic equalization method and system for wireless resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810504055.4A CN108770017B (en) | 2018-05-23 | 2018-05-23 | Dynamic equalization method and system for wireless resources |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108770017A true CN108770017A (en) | 2018-11-06 |
| CN108770017B CN108770017B (en) | 2023-04-07 |
Family
ID=64005375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810504055.4A Active CN108770017B (en) | 2018-05-23 | 2018-05-23 | Dynamic equalization method and system for wireless resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108770017B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110061882A (en) * | 2019-04-26 | 2019-07-26 | 南京华苏科技有限公司 | The method of License dynamic adjustment |
| CN111263366A (en) * | 2018-11-30 | 2020-06-09 | 中国移动通信集团山东有限公司 | Cloud wireless network centralized evaluation planning method and system based on user behaviors |
| CN111385800A (en) * | 2018-12-29 | 2020-07-07 | 北京亿阳信通科技有限公司 | Carrier scheduling method and device for LTE capacity balance |
| CN112804694A (en) * | 2019-11-14 | 2021-05-14 | 中国移动通信集团重庆有限公司 | Method, system, computing device and storage medium for configuring communication network bandwidth |
| CN113079520A (en) * | 2020-01-03 | 2021-07-06 | 中国移动通信集团广东有限公司 | Evaluation method for LTE network carrier scheduling capacity reduction cell |
| CN115474165A (en) * | 2021-05-24 | 2022-12-13 | 中移动金融科技有限公司 | Self-monitoring dynamic adjustment method and system for short message service |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188715A (en) * | 2011-12-28 | 2013-07-03 | 中国移动通信集团广东有限公司 | Automatic monitoring and scheduling method and device for radio resources |
| CN104113857A (en) * | 2013-04-18 | 2014-10-22 | 中国移动通信集团甘肃有限公司 | Wireless capacity optimization method and device |
| CN105101298A (en) * | 2014-05-06 | 2015-11-25 | 中国移动通信集团浙江有限公司 | Inter-cell telephone traffic equalization method and device, and server |
| CN106488467A (en) * | 2015-08-31 | 2017-03-08 | 中兴通讯股份有限公司 | Network capacity transfinites determination methods, device and network capacity management method, system |
| WO2018001030A1 (en) * | 2016-06-27 | 2018-01-04 | 中兴通讯股份有限公司 | Method and device for controlling virtualized broadband remote access server (vbras), and communication system |
-
2018
- 2018-05-23 CN CN201810504055.4A patent/CN108770017B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188715A (en) * | 2011-12-28 | 2013-07-03 | 中国移动通信集团广东有限公司 | Automatic monitoring and scheduling method and device for radio resources |
| CN104113857A (en) * | 2013-04-18 | 2014-10-22 | 中国移动通信集团甘肃有限公司 | Wireless capacity optimization method and device |
| CN105101298A (en) * | 2014-05-06 | 2015-11-25 | 中国移动通信集团浙江有限公司 | Inter-cell telephone traffic equalization method and device, and server |
| CN106488467A (en) * | 2015-08-31 | 2017-03-08 | 中兴通讯股份有限公司 | Network capacity transfinites determination methods, device and network capacity management method, system |
| WO2018001030A1 (en) * | 2016-06-27 | 2018-01-04 | 中兴通讯股份有限公司 | Method and device for controlling virtualized broadband remote access server (vbras), and communication system |
Non-Patent Citations (1)
| Title |
|---|
| 张忠皓等: "LTE 网络资源利用率和扩容方案研究", 《邮电设计技术》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111263366A (en) * | 2018-11-30 | 2020-06-09 | 中国移动通信集团山东有限公司 | Cloud wireless network centralized evaluation planning method and system based on user behaviors |
| CN111385800A (en) * | 2018-12-29 | 2020-07-07 | 北京亿阳信通科技有限公司 | Carrier scheduling method and device for LTE capacity balance |
| CN110061882A (en) * | 2019-04-26 | 2019-07-26 | 南京华苏科技有限公司 | The method of License dynamic adjustment |
| CN112804694A (en) * | 2019-11-14 | 2021-05-14 | 中国移动通信集团重庆有限公司 | Method, system, computing device and storage medium for configuring communication network bandwidth |
| CN112804694B (en) * | 2019-11-14 | 2022-12-16 | 中国移动通信集团重庆有限公司 | Method, system, computing device and storage medium for configuring communication network bandwidth |
| CN113079520A (en) * | 2020-01-03 | 2021-07-06 | 中国移动通信集团广东有限公司 | Evaluation method for LTE network carrier scheduling capacity reduction cell |
| CN113079520B (en) * | 2020-01-03 | 2022-07-01 | 中国移动通信集团广东有限公司 | Evaluation method for LTE network carrier scheduling capacity reduction cell |
| CN115474165A (en) * | 2021-05-24 | 2022-12-13 | 中移动金融科技有限公司 | Self-monitoring dynamic adjustment method and system for short message service |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108770017B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108770017A (en) | A kind of radio resource method for dynamically balancing and system, computer program | |
| US11086683B2 (en) | Redistributing workloads across worker nodes based on policy | |
| CN103036974B (en) | Cloud computing resource scheduling method based on hidden Markov model and system | |
| CN103607459B (en) | The dynamic resource monitoring of a kind of cloud computing platform IaaS layer and dispatching method | |
| CN110073567B (en) | Distributed resource power demand prediction system and method | |
| CN104915407A (en) | Resource scheduling method under Hadoop-based multi-job environment | |
| CN103873498A (en) | Cloud platform resource self-adaptive early warning method and system | |
| CN103401938A (en) | Resource distribution system based on service features under distributed cloud architecture and method thereof | |
| CN105302638A (en) | MPP (Massively Parallel Processing) cluster task scheduling method based on system load | |
| EP3035619B1 (en) | A method and system for scaling and a telecommunications network | |
| CN105607952B (en) | Method and device for scheduling virtualized resources | |
| CN104156786A (en) | Non-working day maximum daily load forecasting system considering meteorological multi-factor influences | |
| CN104348887A (en) | Method and device for resource distributing in cloud management platform | |
| CN112685153A (en) | Micro-service scheduling method and device and electronic equipment | |
| CN103702401A (en) | User behavior analysis-based energy-saving method for mobile network | |
| Cheng et al. | Heterogeneity aware workload management in distributed sustainable datacenters | |
| CN102339233A (en) | Cloud computing centralized management platform | |
| CN115796559A (en) | Adjustable load sorting method and system considering demand response scene | |
| CN103442087A (en) | Web service system access volume control device and method based on response time trend analysis | |
| CN110196773A (en) | The Multiple Time Scales Security Checking system and method for United Dispatching computing resource | |
| CN103188730B (en) | System resource load control system, method and device, regulation server equipment | |
| Yaqub et al. | Metaheuristics-based planning and optimization for sla-aware resource management in paas clouds | |
| CN105426247A (en) | HLA federate planning and scheduling method | |
| CN116389591A (en) | Cross-domain-based distributed processing system and scheduling optimization method | |
| CN115827232A (en) | Method, device, system and equipment for determining configuration for service model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |