CN109474943A - A kind of radio frequency optimization method and apparatus - Google Patents
A kind of radio frequency optimization method and apparatus Download PDFInfo
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- CN109474943A CN109474943A CN201811584537.1A CN201811584537A CN109474943A CN 109474943 A CN109474943 A CN 109474943A CN 201811584537 A CN201811584537 A CN 201811584537A CN 109474943 A CN109474943 A CN 109474943A
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Abstract
The embodiment of the present invention provides a kind of radio frequency optimization method and apparatus, is related to network optimization field, can join preferably optimization to the radio frequency work in mobile network.This method comprises: obtaining total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；The final optimization pass target in area to be optimized is chosen according to total KPI Key Performance Indicator of total KPI Key Performance Indicator data in area to be optimized and at least one area；Obtain the radio frequency adjustable parameter and its adjustable extent in area to be optimized；According to final optimization pass target, the adjustable extent of radio frequency adjustable parameter and radio frequency adjustable parameter, radio frequency parameter is adjusted according to presetting method to obtain radio frequency parameter adjusted value；Radio frequency parameter adjusted value is sent to the network management platform in area to be optimized to treat the radio frequency parameter in optimization area and be adjusted；When preset gain value occur in the total KPI Key Performance Indicator data of determination, total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized are reacquired.
Description
Technical field
The present invention relates to network optimization field more particularly to a kind of radio frequency optimization method and apparatus.
Background technique
For LTE network, realize that the self-optimizing of network radio frequency work ginseng is the dream of radio network optimization personnel and exerts
Power direction.And generally use following method optimizing radio frequency parameter in LTE network at present: (1) problem is found: network optimization personnel are logical
Analysis complaint, KPI and its relationship are crossed come the problem of analyzing network, this method is uncertain and algorithm is simple and crude；(2) solution:
After network optimization personnel obtain network problem, then artificial experience is generally basede on to propose solution, mostly qualitative scheme,
Scene is carried out further according to tower work experience or conventional arrangement；(3) scheme evaluation: not having scheme evaluation before implementing, often according to existing
Field situation is completed at random；(4) parameter setting: often a small amount of website, manual input-mode's setting；(5) whole network iteration is promoted:
Often single carries out at present, does not there is iteration lifting process.As can be seen that the optimal way of the radio frequency parameter of current LTE network
Efficiency is slower, and not enough optimizes not accurate enough.So on the whole, existing radio frequency optimization scheme low efficiency and optimization
As a result not good enough.
Summary of the invention
The embodiment of the present invention provides a kind of radio frequency optimization method, preferably excellent for the radio frequency work ginseng to mobile network
Change.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, providing a kind of radio frequency optimization method, comprising:
Obtain total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；History radio frequency optimization data
Total KPI Key Performance Indicator data and optimization aim including at least one area；Total KPI Key Performance Indicator data include at least one
The KPI Key Performance Indicator of measuring point；
According to total KPI Key Performance Indicator data in area to be optimized and at least one area total KPI Key Performance Indicator to
The final optimization pass target in area to be optimized is chosen in a few regional optimization aim；
Obtain the radio frequency adjustable parameter and its adjustable extent in area to be optimized；
According to final optimization pass target, the adjustable extent of radio frequency adjustable parameter and radio frequency adjustable parameter, according to presetting method pair
Radio frequency parameter is adjusted, to obtain radio frequency parameter adjusted value；
Radio frequency parameter adjusted value is sent to the network management platform in area to be optimized, so that network management platform is according to radio frequency parameter tune
The radio frequency parameter that whole value treats optimization area is adjusted；
When determining total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter, there are preset gains
When value, total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized are reacquired.
Second aspect provides a kind of radio frequency optimization device, comprising: obtains module, optimization aim chooses module, adjustment mould
Block, sending module and judgment module；
Module is obtained, for obtaining total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；It goes through
History radio frequency optimization data include total KPI Key Performance Indicator data and optimization aim at least one area；Total KPI Key Performance Indicator number
According to the KPI Key Performance Indicator including at least one measuring point；
Optimization aim chooses module, for according to the total KPI Key Performance Indicator data for obtaining the area to be optimized that module obtains
With obtain module obtain at least one area total KPI Key Performance Indicator, from obtain module obtain at least one area it is excellent
Change the final optimization pass target that area to be optimized is chosen in target；
Obtain radio frequency adjustable parameter and its adjustable extent that module is also used to obtain area to be optimized；
Module is adjusted, for choosing the final optimization pass target of module selection according to optimization aim, obtaining penetrating for module acquisition
Frequency adjustable parameter and the adjustable extent for obtaining the radio frequency adjustable parameter that module obtains, adjust radio frequency parameter according to presetting method
It is whole, to obtain radio frequency parameter adjusted value；
Sending module, the network management for the radio frequency parameter adjusted value for adjusting module acquisition to be sent to area to be optimized are put down
Platform, so that network management platform is adjusted according to the radio frequency parameter that radio frequency parameter adjusted value treats optimization area；
When judgment module determines the regional total crucial achievement before and after the adjustment of its radio frequency parameter to be optimized for obtaining module and obtaining
Imitating achievement data, there are when preset gain value, obtain total KPI Key Performance Indicator data that module is used to reacquire area to be optimized
With history radio frequency optimization data.
The third aspect provides a kind of radio frequency optimization device, including memory, processor, bus and communication interface；Memory
For storing computer executed instructions, processor is connect with memory by bus；When the operation of radio frequency optimization device, processor
The computer executed instructions of memory storage are executed, so that device executes the radio frequency optimization method provided such as first aspect.
Fourth aspect provides a kind of computer storage medium, including computer executed instructions, when computer executed instructions exist
When being run on computer, so that computer executes the radio frequency optimization method provided such as first aspect.
Radio frequency optimization method and apparatus provided in an embodiment of the present invention, this method comprises: obtaining total pass in area to be optimized
Key performance indicators data and history radio frequency optimization data；History radio frequency optimization data include total Key Performance at least one area
Achievement data and optimization aim；Total KPI Key Performance Indicator data include the KPI Key Performance Indicator of at least one measuring point；According to excellent
Change total KPI Key Performance Indicator of regional total KPI Key Performance Indicator data and at least one area from the optimization at least one area
The final optimization pass target in area to be optimized is chosen in target；Obtain the radio frequency adjustable parameter and its adjustable extent in area to be optimized；
According to final optimization pass target, the adjustable extent of radio frequency adjustable parameter and radio frequency adjustable parameter, according to presetting method to radio frequency parameter
It is adjusted, to obtain radio frequency parameter adjusted value；Radio frequency parameter adjusted value is sent to the network management platform in area to be optimized, so that
Network management platform is adjusted according to the radio frequency parameter that radio frequency parameter adjusted value treats optimization area；It is to be optimized regional at it when determining
Total KPI Key Performance Indicator data of radio frequency parameter adjustment front and back reacquire total pass in area to be optimized there are when preset gain value
Key performance indicators data and history radio frequency optimization data.Technical solution provided in an embodiment of the present invention, first in practice
A large amount of radio frequency optimization cases through successfully optimizing combine total KPI Key Performance Indicator data in area to be optimized, determine area to be optimized
Optimization aim, according to the current radio frequency adjustable parameter in area to be optimized and its range with existing after determining optimization aim
Presetting method the radio frequency adjustable parameter is adjusted, then judge total pass in area to be optimized after the adjustment of radio frequency adjustable parameter
Whether key performance indicators data there is expected gain, if there is then carrying out the optimization of subsequent cycle；As can be seen that because invention
The technical solution that embodiment provides, which combines a large amount of existing prioritization scheme, can more fully determine the optimization in area to be optimized
Target, and because whole process does not need to combine closely with artificial experience, different experiences are avoided to optimum results
It influences, so that optimum results are more objective and accurate, further, because the prioritization scheme can also be achieved that shifting with self-loopa
The self-optimizing effect of dynamic network radio frequency parameter, saves a large amount of manpower and material resources.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of radio frequency optimization method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of another radio frequency optimization method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram of radio frequency optimization device provided in an embodiment of the present invention；
Fig. 4 is the structural schematic diagram of another radio frequency optimization device provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It should be noted that in the embodiment of the present invention, " illustrative " or " such as " etc. words make example, example for indicating
Card or explanation.Be described as in the embodiment of the present invention " illustrative " or " such as " any embodiment or design scheme do not answer
It is interpreted than other embodiments or design scheme more preferably or more advantage.Specifically, " illustrative " or " example are used
Such as " word is intended to that related notion is presented in specific ways.
It should also be noted that, in the embodiment of the present invention, " (English: of) ", " corresponding (English:
Corresponding, relevant) " it sometimes can be mixed with " corresponding (English: corresponding) ", it should be pointed out that
It is that, when not emphasizing its difference, meaning to be expressed is consistent.For the ease of clearly describing the skill of the embodiment of the present invention
Art scheme uses the printed words such as " first ", " second " to function and acts on essentially identical identical in an embodiment of the present invention
Or similar item distinguish, it will be appreciated by those skilled in the art that the printed words such as " first ", " second " be not to quantity and
Execution order is defined.
In the prior art, the radio frequency optimization scheme of mobile network generally requires a large amount of artificial participations, the effect of optimization
Related to the optimization working experience of personnel itself, so the effect is unsatisfactory for its radio frequency optimization, and optimization process consumes each time
When effort.
In view of the above-mentioned problems, the embodiment of the present invention provides a kind of radio frequency optimization method shown in referring to Fig.1, comprising:
101, total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized are obtained.
Specifically, history radio frequency optimization data include total KPI Key Performance Indicator data (KPI, the Key at least one area
Performance Indicator) and optimization aim；Total KPI Key Performance Indicator data include the Key Performance of at least one measuring point
Index；The history rf data that technical solution provided in an embodiment of the present invention is worth in implementation process generally comprises all energy and receives
Total KPI Key Performance Indicator data in the area collected.
Illustratively, in practice some area total KPI Key Performance Indicator data generally by MR (Measurement
Report, measurement report) it can obtain, for the region of some not network datas, then obtained using modes such as drive test, dialing.
102, according to total KPI Key Performance Indicator of total KPI Key Performance Indicator data in area to be optimized and at least one area
The final optimization pass target in area to be optimized is chosen from the optimization aim at least one area.
Illustratively, referring to shown in Fig. 2,102 steps are specifically included:
1021, according to preset stepping rule by it is to be optimized area and at least one area total KPI Key Performance Indicator data into
Row stepping, and calculate the accounting of each grade of KPI Key Performance Indicator data.
Specifically, the accounting of each grade of KPI Key Performance Indicator data is that each grade of KPI Key Performance Indicator data correspond to measuring point
Total KPI Key Performance Indicator data that quantity accounts for belonging to itself correspond to the accounting of the quantity of measuring point.
Illustratively, because in practice, total KPI Key Performance Indicator data include that Headquarters of the General Staff examine signal reception power RSRP data
Signal-to-Noise RS Sinr data are referred to total；Total RSRP data include the RSRP of at least one measuring point；Total RS Sinr data
RS Sinr including at least one measuring point；So default Grading Principle of Rated, which is referred to Tables 1 and 2 below, carries out stepping:
| RSRP | Accounting | Correlation weighting |
| Greater than -60dBm (first grade) | 1 | |
| - 60dBm is extremely -80dBm (second gear) | 2 | |
| - 80dBm is extremely -90dBm (third gear) | 2 | |
| - 90dBm is extremely -100dBm (fourth speed) | 3 | |
| - 100dBm is extremely -110dBm (fifth speed) | 1 | |
| Less than -60dBm (sixth speed) | 1 |
Table 1
| RS Sinr | Point distribution proportion | Correlation weighting |
| Greater than 30dB (first grade) | 1 | |
| 30dB to 20dB (second gear) | 1 | |
| 20dB to 10dB (third gear) | 2 | |
| 10dB to 5dB (fourth speed) | 2 | |
| 5dB to 0dB (fifth speed) | 2 | |
| 0dB is extremely -3dB (sixth speed) | 1 |
Table 2
Wherein, accounting indicates the accounting of each grade of KPI Key Performance Indicator data, and correlation weighting indicates each grade of crucial achievement
Imitate the corresponding correlation weighted value of achievement data, the value according to the actual situation depending on, only example, is not particularly limited herein.
1022, the first of first grade of KPI Key Performance Indicator data accounting and area to be optimized is chosen from least one area
The first object that the difference of shelves KPI Key Performance Indicator data accounting is less than or equal to preset value optimizes area.
Specifically, first grade of KPI Key Performance Indicator data is total Key Performance belonging to first grade of KPI Key Performance Indicator data
Any grade of KPI Key Performance Indicator data after achievement data stepping.
Illustratively, preset value 5%.
1023, public according to correlation weighting is preset according to the accounting of each grade of KPI Key Performance Indicator data in area to be optimized
Formula calculates the overall relevancy score value in optimization area to be measured.
1024, public according to correlation weighting is preset according to each grade of KPI Key Performance Indicator data in first object optimization area
Formula calculates the overall relevancy score value in first object optimization area.
Illustratively, correlation weighted formula is preset are as follows:
M=qRSRP*MRSRP+qRS Sinr*MRS Sinr；
Wherein, M is overall relevancy score value, qRSRPFor the correlation weighted value of total RSRP data, MRSRPFor total RSRP data
RSRP relevance score, qRS SinrFor the correlation weighted value of total RS Sinr data in total RSRP data area, MRS SinrIt is total
The relevance score of total RS Sinr data in RSRP data area；
Wherein, n is the gear number of total RSRP data, MRSRPFor the relevance score of total RSRP data, pRiFor total RSRP data
The total RSRP data of quantity Zhan that i-th grade of RSRP data after stepping correspond to measuring point correspond to the accounting of the quantity of measuring point, qRiIt is i-th grade
The correlation weighted value of RSRP data；
Wherein, m is the gear number of total RS Sinr data, MRS SinrFor the relevance score of total RS Sinr data, pSiIt is total
The total RS Sinr data of quantity Zhan that i-th grade of RS Sinr data after RS Sinr data stepping correspond to measuring point correspond to the number of measuring point
The accounting of amount, qSiFor the correlation weighted value of i-th grade of RS Sinr data.
Not only there was only M in correlation weighted formula it should be noted that presetting in practiceRSRPAnd MRS SinrTwo ginsengs
Number, according to the preset optimization aim of optimum management personnel, there may also be other parameters, such as corresponding the last the first cell
The RSRP value of RSRP value and corresponding the last the second cell differs by more than corresponding relevance score of measuring point of 5dB etc..
1025, the smallest first object optimization area will be differed with the overall relevancy score value in area to be optimized determines the second mesh
Mark optimization area.
1026, the optimization aim in the second objective optimization area is determined as to the final optimization pass target in area to be optimized.
Illustratively, final optimization pass target may include:
The accounting of the total measuring point quantity of RSRP >=-100dBm measuring point quantity Zhan is the first preset value, corresponds to correlation and adds
Weight is qRSRP100；
The accounting of the total measuring point quantity of measuring point quantity Zhan of RS Sinr >=0dBm is the second preset value, corresponds to correlation and adds
Weight is qRS Sinr0；
The accounting of the total measuring point quantity of measuring point quantity Zhan of RS Sinr >=10dBm is third preset value, corresponds to correlation and adds
Weight is qRS Sinr10；
The accounting of the total measuring point quantity of measuring point quantity Zhan of RS Sinr >=15dBm is the 4th preset value, corresponds to correlation and adds
Weight is qRS Sinr15；
The RSRP value of the RSRP value of corresponding the last the first cell and corresponding the last the second cell differs by more than the measuring point number of 5dB
The accounting for measuring the total measuring point quantity of Zhan is the 5th preset value, and corresponding correlation weighted value is qC1-2；
The RSRP value of corresponding the last the first cell and the RSRP value of corresponding top four cell differ by more than the measuring point number of 5dB
The accounting for measuring the total measuring point quantity of Zhan is the 6th preset value, and corresponding correlation weighted value is qC1-4。
Optionally, in order to which the final optimization pass target for guaranteeing that area to be optimized is chosen is more acurrate more realistic, referring to Fig. 2 institute
Show, after 102 steps further include:
107, final optimization pass target is sent to optimization terminal.
Optimization terminal hold personnel above-mentioned each optimization aim can be adjusted according to actual network strategy or even
Increase or decrease optimization aim.
108, the first optimization aim adjustment instruction that optimization terminal is sent is received, and according to the first optimization aim adjustment instruction
Final optimization pass target is updated, to redefine the final optimization pass target in area to be optimized.
103 are executed after 108 steps.
103, the radio frequency adjustable parameter and its adjustable extent in area to be optimized are obtained.
Illustratively, radio frequency adjustable parameter includes: the transmission power of cell, the electrical tilt angle of fan antenna, sector day
Line electronic bearing angle；
The adjustable extent of the transmission power of cell includes: downward variable power float value, and upward variable power float value becomes
Change step-length；
The adjustable extent at the electrical tilt angle of fan antenna includes: variation range on the basis of this inclination angle, change step；
The adjustable extent at fan antenna electronic bearing angle includes: blocking orientation, orientation adjustable range, change step.
104, according to final optimization pass target, the adjustable extent of radio frequency adjustable parameter and radio frequency adjustable parameter, according to default side
Method is adjusted radio frequency parameter, to obtain radio frequency parameter adjusted value.
Optionally, in order to guarantee machine calculate radio frequency parameter tally with the actual situation, also for guarantee adjustment process in addition to
According to the concrete condition that also combine practical area to be optimized other than historical data, referring to shown in Fig. 2, after 104 steps further include:
109, radio frequency parameter adjusted value is sent to optimization terminal.
Optimize the holder of terminal in the optimistic degree of pessimism according to entire electromagnetic propagation prediction result, in conjunction with 101 steps
The case where measured data point of acquisition, verifies part measuring point work ginseng, determines whether that 104 steps obtain according to result is verified
Radio frequency parameter adjusted value it is improper；Illustratively, type is verified to specifically include:
(1) weak covering is surveyed in such as certain region, and radio frequency parameter adjusted value does not set the direction for reinforcing covering, should adjust at this time
It is whole；(2) blind area is surveyed in such as certain region, and radio frequency parameter adjusted value does not set the direction for reinforcing covering, should adjust at this time；(3) such as
Certain region is pilot pollution, and radio frequency parameter adjusted value does not reduce pilot pollution, should adjust at this time；(4) if certain region is to get over area
Covering, radio frequency parameter adjusted value do not reduce area covered, should adjust at this time.
110, the second optimization aim adjustment instruction of optimization terminal is received, and according to the second optimization aim adjustment instruction to most
Whole optimization aim is updated, to redefine the final optimization pass target in area to be optimized.
103 are executed after 110.
105, radio frequency parameter adjusted value is sent to the network management platform in area to be optimized, so that network management platform is joined according to radio frequency
The radio frequency parameter that number adjusted value treats optimization area is adjusted.
106, when determining that it is default that total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter exist
When yield value, total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized are reacquired.
In order to realize network self-organization, 101 are executed after 106 steps.
Optionally, each suboptimization in practice is not necessarily attained by optimization purpose, so referring to shown in Fig. 2, the party
Method further include:
111, when determining total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter, there is no pre-
If when yield value, sending adjustment failure command and giving optimization terminal；
112, the third optimization aim adjustment instruction of optimization terminal is received, and according to third optimization aim adjustment instruction to most
Whole optimization aim is updated, to redefine the final optimization pass target in area to be optimized.
103 are executed after 112.
Optionally, in order to ensure which clear optimization of region of optimum management personnel several times with the optimization time, referring to Fig. 2 institute
Show, after 106 steps further include:
113, it sends adjustment completion prompt information and gives optimization terminal.
Optionally, in order to expand history radio frequency optimization data in real time, referring to shown in Fig. 2, after 113 steps further include:
114, the final optimization pass target in area to be optimized and area to be optimized are passed through into radio frequency parameter total key adjusted
Performance indicators data are stored in history radio frequency optimization data.
Radio frequency optimization method provided in an embodiment of the present invention, this method comprises: obtaining total Key Performance in area to be optimized
Achievement data and history radio frequency optimization data；History radio frequency optimization data include total KPI Key Performance Indicator number at least one area
According to and optimization aim；Total KPI Key Performance Indicator data include the KPI Key Performance Indicator of at least one measuring point；According to area to be optimized
Total KPI Key Performance Indicator data and at least one area total KPI Key Performance Indicator from least one area optimization aim in
Choose the final optimization pass target in area to be optimized；Obtain the radio frequency adjustable parameter and its adjustable extent in area to be optimized；According to most
The adjustable extent of whole optimization aim, radio frequency adjustable parameter and radio frequency adjustable parameter adjusts radio frequency parameter according to presetting method
It is whole, to obtain radio frequency parameter adjusted value；Radio frequency parameter adjusted value is sent to the network management platform in area to be optimized, so that network management is flat
Platform is adjusted according to the radio frequency parameter that radio frequency parameter adjusted value treats optimization area；It is to be optimized regional in its radio frequency ginseng when determining
Total KPI Key Performance Indicator data of number adjustment front and back reacquire total Key Performance in area to be optimized there are when preset gain value
Achievement data and history radio frequency optimization data.Technical solution provided in an embodiment of the present invention, first with having succeeded in practice
A large amount of radio frequency optimization cases of optimization combine total KPI Key Performance Indicator data in area to be optimized, determine the optimization in area to be optimized
Target, according to the current radio frequency adjustable parameter and its range in area to be optimized with existing default after determining optimization aim
Method is adjusted the radio frequency adjustable parameter, then judges total Key Performance in area to be optimized after the adjustment of radio frequency adjustable parameter
Whether achievement data there is expected gain, if there is then carrying out the optimization of subsequent cycle；As can be seen that because inventive embodiments
The technical solution of offer, which combines a large amount of existing prioritization scheme, can more fully determine the optimization aim in area to be optimized, and
And because whole process does not need to combine closely with artificial experience, influence of the different experiences to optimum results is avoided, is made
It is more objective and accurate to obtain optimum results, further, because the prioritization scheme can also be achieved that mobile network penetrates with self-loopa
The self-optimizing effect of frequency parameter, saves a large amount of manpower and material resources.
Referring to shown in Fig. 3, for better implementation radio frequency optimization method provided by the above embodiment, the embodiment of the present invention is also
There is provided a kind of radio frequency optimization device 01, comprising: obtain module 31, optimization aim chooses module 32, adjustment module 33, sending module
34 and judgment module 35；
Module 31 is obtained, for obtaining total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；
History radio frequency optimization data include total KPI Key Performance Indicator data and optimization aim at least one area；Total KPI Key Performance Indicator
Data include the KPI Key Performance Indicator of at least one measuring point；
Optimization aim chooses module 32, for according to the total KPI Key Performance Indicator for obtaining the area to be optimized that module 31 obtains
Data and the total KPI Key Performance Indicator for obtaining at least one area that module 31 obtains, at least one obtained from acquisition module 31
The final optimization pass target in area to be optimized is chosen in the optimization aim in area；
Obtain radio frequency adjustable parameter and its adjustable extent that module 31 is also used to obtain area to be optimized；
Module 33 is adjusted, is obtained for choosing final optimization pass target, acquisition module 31 that module 32 is chosen according to optimization aim
The adjustable extent for the radio frequency adjustable parameter that the radio frequency adjustable parameter and acquisition module 31 taken obtains, joins radio frequency according to presetting method
Number is adjusted, to obtain radio frequency parameter adjusted value；
Sending module 34, the radio frequency parameter adjusted value for obtaining adjustment module 33 are sent to the network management in area to be optimized
Platform, so that network management platform is adjusted according to the radio frequency parameter that radio frequency parameter adjusted value treats optimization area；
When judgment module 35 determines that obtaining module 31 obtains total key of the area to be optimized before and after the adjustment of its radio frequency parameter
There are when preset gain value, obtain total KPI Key Performance Indicator that module 31 is used to reacquire area to be optimized for performance indicators data
Data and history radio frequency optimization data.
Optionally, optimization aim is chosen module 32 and is specifically included: accounting computing unit 321, processing unit 322 and correlation
Computing unit 323；
Accounting computing unit 321, for according to preset stepping rule will acquire module 31 acquisition it is to be optimized area and extremely
Few regional total KPI Key Performance Indicator data carry out stepping, and calculate the accounting of each grade of KPI Key Performance Indicator data；Often
The accounting of one grade of KPI Key Performance Indicator data is that the quantity that each grade of KPI Key Performance Indicator data correspond to measuring point accounts for belonging to itself
Total KPI Key Performance Indicator data correspond to the accounting of the quantity of measuring point；
Processing unit 322, at least one obtained for the calculated result according to accounting computing unit 321 from acquisition module 31
First grade of KPI Key Performance Indicator data accounting is chosen in a area and first grade of KPI Key Performance Indicator data in area to be optimized account for
The first object that the difference of ratio is less than or equal to preset value optimizes area；First grade of KPI Key Performance Indicator data is first grade of Key Performance
Any grade of KPI Key Performance Indicator data after total KPI Key Performance Indicator data stepping belonging to achievement data；
Correlation calculations unit 323, each grade of key in the area to be optimized for being calculated according to accounting computing unit 321
The accounting of performance indicators data calculates the overall relevancy score value in first object optimization area according to correlation weighted formula is preset；
Correlation calculations unit 323 is also used to optimize the every of area according to the first object that accounting computing unit 321 calculates
The accounting of one grade of KPI Key Performance Indicator data calculates the total correlation in first object optimization area according to correlation weighted formula is preset
Property score value；
The overall relevancy score value with area to be optimized that processing unit 322 is also used to calculate correlation calculations unit 323
It differs the smallest first object optimization area and determines the second objective optimization area, and by the optimization aim in the second objective optimization area
It is determined as the final optimization pass target in area to be optimized.
Optionally, the radio frequency optimization device further includes update module 36；
Sending module 34 be also used to optimization aim choose module 32 choose to area to be optimized final optimization pass target it
Afterwards, the final optimization pass target that optimization aim selection module 32 is chosen is sent to optimization terminal 02；
Update module 36, the first optimization aim adjustment instruction sent for receiving optimization terminal 02, and it is excellent according to first
Change the final optimization pass target that target adjustment instruction chooses the selection of module 32 to optimization aim to be updated, it is to be optimized to redefine
The final optimization pass target in area.
Optionally, sending module 34 be also used to the network management platform that radio frequency parameter adjusted value is sent to area to be optimized it
Before, radio frequency parameter adjusted value is sent to optimization terminal 02；
Update module 36, for receiving the second optimization aim adjustment instruction of optimization terminal 02, and according to the second optimization mesh
Mark adjustment instruction is chosen the final optimization pass target that module 32 is chosen to optimization aim and is updated, to redefine area to be optimized
Final optimization pass target.
Optionally, when judgment module 35 determines the area to be optimized for obtaining the acquisition of module 31 before and after the adjustment of its radio frequency parameter
Total KPI Key Performance Indicator data be not present preset gain value when, send adjustment failure command to optimization terminal 02；
Update module 36 is also used to receive the third optimization aim adjustment instruction of optimization terminal 02, and optimizes mesh according to third
Mark adjustment instruction is chosen the final optimization pass target that module 32 is chosen to optimization aim and is updated, to redefine area to be optimized
Final optimization pass target.
Radio frequency optimization device provided in an embodiment of the present invention, it is to be optimized for obtaining because the device includes: acquisition module
Total KPI Key Performance Indicator data and history radio frequency optimization data in area；History radio frequency optimization data include at least one area
Total KPI Key Performance Indicator data and optimization aim；Total KPI Key Performance Indicator data include that the Key Performance of at least one measuring point refers to
Mark；Optimization aim choose module, for according to obtain module obtain area to be optimized total KPI Key Performance Indicator data with obtain
Total KPI Key Performance Indicator at least one area that modulus block obtains, from the optimization mesh for obtaining at least one area that module obtains
The final optimization pass target in area to be optimized is chosen in mark；Obtain module be also used to obtain area to be optimized radio frequency adjustable parameter and
Its adjustable extent；Module is adjusted, is obtained for choosing final optimization pass target, acquisition module that module is chosen according to optimization aim
Radio frequency adjustable parameter and the adjustable extent for obtaining the radio frequency adjustable parameter that module obtains carry out radio frequency parameter according to presetting method
Adjustment, to obtain radio frequency parameter adjusted value；Sending module, for will adjust module obtain radio frequency parameter adjusted value be sent to
Optimize the network management platform in area, so that network management platform is adjusted according to the radio frequency parameter that radio frequency parameter adjusted value treats optimization area
It is whole；When judgment module determines that total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter have default increase
When benefit value, total KPI Key Performance Indicator data and history radio frequency optimization data that module is used to reacquire area to be optimized are obtained.
So technical solution provided in an embodiment of the present invention, it can be first with a large amount of radio frequency optimization cases for the optimization that succeeded in practice
Example combines total KPI Key Performance Indicator data in area to be optimized, determines the optimization aim in area to be optimized, is determining optimization aim
Use existing presetting method to the adjustable ginseng of the radio frequency according to the current radio frequency adjustable parameter and its range in area to be optimized afterwards
Number is adjusted, and it is pre- then judge whether total KPI Key Performance Indicator data in area to be optimized after radio frequency adjustable parameter adjusts occur
The gain of phase, if there is then carrying out the optimization of subsequent cycle；As can be seen that because the technical solution that inventive embodiments provide combines
A large amount of existing prioritization scheme can more fully determine the optimization aim in area to be optimized, and because whole process is not required to
It to combine closely with artificial experience, so influence of the different experiences to optimum results is avoided, so that optimum results are more objective
Accurately, further, because the prioritization scheme with self-loopa, can also be achieved that the self-optimizing effect of mobile network's radio frequency parameter
Fruit saves a large amount of manpower and material resources.
Referring to shown in Fig. 4, the embodiment of the present invention also provides another radio frequency optimization device, including memory 41, processor
42, bus 43 and communication interface 44；Memory 41 passes through always for storing computer executed instructions, processor 42 and memory 41
Line 43 connects；When the operation of radio frequency optimization device, processor 42 executes the computer executed instructions that memory 41 stores, so as to penetrate
Frequency optimization device executes such as radio frequency optimization method provided by the above embodiment.
In concrete implementation, as one embodiment, processor 42 (42-1 and 42-2) may include one or more
CPU, such as CPU0 and CPU1 shown in Fig. 4.And as one embodiment, radio frequency optimization device may include multiple processors
42, such as processor 42-1 and processor 42-2 shown in Fig. 4.Each of these processors 42 CPU can be one
Single core processor (Single-CPU) is also possible to a multi-core processor (Multi-CPU).Here processor 42 can refer to
One or more equipment, circuit, and/or the processing core for handling data (such as computer program instructions).
Memory 41 can be read-only memory 41 (Read-Only Memory, ROM) or can store static information and refer to
The other kinds of static storage device enabled, random access memory (Random Access Memory, RAM) or can store
The other kinds of dynamic memory of information and instruction, is also possible to Electrically Erasable Programmable Read-Only Memory
(Electrically Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact
Disc Read-Only Memory, CD-ROM) or other optical disc storages, optical disc storage (including compression optical disc, laser disc, light
Dish, Digital Versatile Disc, Blu-ray Disc etc.), magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or
Store have instruction or data structure form desired program code and can by any other medium of computer access, but
It is without being limited thereto.Memory 41, which can be, to be individually present, and is connected by communication bus 43 with processor 42.Memory 41 can also be with
It is integrated with processor 42.
In concrete implementation, memory 41, for storing the data in the application and executing the software program of the application
Corresponding computer executed instructions.Processor 42 can by running or executing the software program being stored in memory 41, with
And call the data being stored in memory 41, the various functions of radio frequency optimization device.
Communication interface 44 is used for and other equipment or communication, such as control using the device of any transceiver one kind
System processed, wireless access network (Radio Access Network, RAN), WLAN (Wireless Local Area
Networks, WLAN) etc..Communication interface 44 may include that receiving unit realizes that receive capabilities and transmission unit realize transmission
Function.
It is total to can be industry standard architecture (Industry Standard Archi tecture, ISA) for bus 43
Line, external equipment interconnection (Peripheral Component Interconnect, PCI) bus or extension Industry Standard Architecture
Structure (Extended Industry Standard Architecture, EISA) bus etc..The bus 43 can be divided into address
Bus, data/address bus, control bus etc..Only to be indicated with a thick line in Fig. 4, it is not intended that only one convenient for indicating
Bus or a type of bus.
The embodiment of the present invention also provides a kind of computer storage medium, and computer storage medium includes that computer execution refers to
It enables, when computer executed instructions are run on computers, so that computer executes such as radio frequency optimization provided by the above embodiment
Method.
The embodiment of the present invention also provides a kind of computer program, which can be loaded directly into memory, and
Containing software code, which is loaded into via computer and to can be realized radio frequency provided by the above embodiment after executing excellent
Change method.
Those skilled in the art are it will be appreciated that in said one or multiple examples, function described in the invention
It can be realized with hardware, software, firmware or their any combination.It when implemented in software, can be by these functions
Storage in computer-readable medium or as on computer-readable medium one or more instructions or code transmitted.
Computer-readable medium includes computer storage media and communication media, and wherein communication media includes convenient for from a place to another
Any medium of one place transmission computer program.Storage medium can be general or specialized computer can access it is any
Usable medium.
Through the above description of the embodiments, it is apparent to those skilled in the art that, for description
It is convenienct and succinct, only the example of the division of the above functional modules, in practical application, can according to need and will be upper
It states function distribution to be completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, to complete
All or part of function described above.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the module or unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation.Such as multiple units or components
It may be combined or can be integrated into another device, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.Unit can be or can also as illustrated by the separation member
Not to be physically separated, component shown as a unit can be a physical unit or multiple physical units, it can
It is in one place, or may be distributed over multiple and different places.Can select according to the actual needs part therein or
Person's whole unit achieves the purpose of the solution of this embodiment.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.If integrated unit with
The form of SFU software functional unit is realized and when sold or used as an independent product, can store and storage Jie can be read at one
In matter.Based on this understanding, the portion that the technical solution of the embodiment of the present application substantially in other words contributes to the prior art
Divide or all or part of the technical solution can be embodied in the form of software products, which is stored in one
In storage medium, including some instructions are used so that an equipment (can be single-chip microcontroller, chip etc.) or processor
(processor) it performs all or part of the steps of the method described in the various embodiments of the present invention.And storage medium above-mentioned includes:
The various media that can store program code such as USB flash disk, mobile hard disk, ROM, RAM, magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (13)
1. a kind of radio frequency optimization method characterized by comprising
Obtain total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；The history radio frequency optimization data
Total KPI Key Performance Indicator data and optimization aim including at least one area；Total KPI Key Performance Indicator data include at least
The KPI Key Performance Indicator of one measuring point；
According to total KPI Key Performance Indicator of total KPI Key Performance Indicator data in the area to be optimized and at least one area
The final optimization pass target in the area to be optimized is chosen from the optimization aim at least one area；
Obtain the radio frequency adjustable parameter and its adjustable extent in the area to be optimized；
According to the final optimization pass target, the adjustable extent of the radio frequency adjustable parameter and the radio frequency adjustable parameter, according to pre-
Equipment, method is adjusted the radio frequency parameter, to obtain radio frequency parameter adjusted value；
The radio frequency parameter adjusted value is sent to the network management platform in the area to be optimized, so that the network management platform is according to institute
Radio frequency parameter adjusted value is stated to be adjusted the radio frequency parameter in the area to be optimized；
When determining total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter, there are preset gains
When value, total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized are reacquired.
2. radio frequency optimization method according to claim 1, which is characterized in that total pass according to the area to be optimized
Optimization aim of the total KPI Key Performance Indicator in key performance indicators data and at least one area from least one area
The middle final optimization pass target for choosing the area to be optimized includes:
According to preset stepping rule by it is described it is to be optimized area and it is described at least one area total KPI Key Performance Indicator data into
Row stepping, and calculate the accounting of each grade of KPI Key Performance Indicator data；The accounting of each grade of KPI Key Performance Indicator data is
The quantity that each grade of KPI Key Performance Indicator data correspond to measuring point accounts for the corresponding survey of total KPI Key Performance Indicator data belonging to itself
The accounting of the quantity of point；
The first of first grade of KPI Key Performance Indicator data accounting and the area to be optimized is chosen from least one described area
The first object that the difference of shelves KPI Key Performance Indicator data accounting is less than or equal to preset value optimizes area；First grade of Key Performance
Achievement data is any grade of pass after total KPI Key Performance Indicator data stepping belonging to first grade of KPI Key Performance Indicator data
Key performance indicators data；
According to the accounting of each grade of KPI Key Performance Indicator data in the area to be optimized according to default correlation weighted formula meter
Calculate the overall relevancy score value in the optimization area to be measured；According to each grade of KPI Key Performance Indicator in first object optimization area
Data calculate the overall relevancy score value in first object optimization area according to correlation weighted formula is preset；
The smallest first object optimization area will be differed with the overall relevancy score value in the area to be optimized determines that the second target is excellent
Change area；The optimization aim in the second objective optimization area is determined as to the final optimization pass target in the area to be optimized.
3. radio frequency optimization method according to claim 1, which is characterized in that total pass according to the area to be optimized
Optimization aim of the total KPI Key Performance Indicator in key performance indicators data and at least one area from least one area
After the middle final optimization pass target for choosing the area to be optimized further include:
The final optimization pass target is sent to optimization terminal；
The first optimization aim adjustment instruction that the optimization terminal is sent is received, and according to the first optimization aim adjustment instruction
The final optimization pass target is updated, to redefine the final optimization pass target in the area to be optimized.
4. radio frequency optimization method according to claim 1, which is characterized in that described to send the radio frequency parameter adjusted value
Before the network management platform in the area to be optimized further include:
The radio frequency parameter adjusted value is sent to optimization terminal；
The second optimization aim adjustment instruction of the optimization terminal is received, and according to the second optimization aim adjustment instruction to institute
It states final optimization pass target to be updated, to redefine the final optimization pass target in the area to be optimized.
5. radio frequency optimization method according to claim 1, which is characterized in that further include:
When determining total KPI Key Performance Indicator data of the area to be optimized before and after the adjustment of its radio frequency parameter, there is no default increasings
When benefit value, sends adjustment failure command and give optimization terminal；
Receive optimization terminal third optimization aim adjustment instruction, and according to the third optimization aim adjustment instruction to it is described most
Whole optimization aim is updated, to redefine the final optimization pass target in the area to be optimized.
6. according to the method described in claim 2, it is characterized in that, total KPI Key Performance Indicator data include that Headquarters of the General Staff examine signal
It receives power RSRP data and always refers to Signal-to-Noise RS Sinr data；The history radio frequency optimization data include at least one
Total RSRP data, total RS Sinr data and the optimization aim in a area；Total RSRP data include at least one measuring point
RSRP；Total RS Sinr data include the RS Sinr of at least one measuring point；
The default correlation weighted formula are as follows:
M=qRSRP*MRSRP+qRS Sinr*MRS Sinr；
Wherein, M is overall relevancy score value, qRS RPFor the correlation weighted value of total RSRP data, MRSRPFor total RSRP
The RSRP relevance score of data, qRS SinrCorrelation for total RS Sinr data regional described in total RSRP data adds
Weight, MRS SinrFor the relevance score of total RS Sinr data regional described in total RSRP data；
Wherein, n is the gear number of total RSRP data, MRSRPFor the relevance score of total RSRP data, pRiIt is described total
The quantity that i-th grade of RSRP data after RSRP data stepping correspond to measuring point, which accounts for total RSRP data and corresponds to the quantity of measuring point, to be accounted for
Than qRiFor the correlation weighted value of i-th grade of RSRP data；
Wherein, m is the gear number of total RS Sinr data, MRS SinrFor the relevance score of total RS Sinr data, pSi
The quantity for corresponding to measuring point for i-th grade of RS Sinr data after total RS Sinr data stepping accounts for total RS Sinr data
The accounting of the quantity of corresponding measuring point, qSiFor the correlation weighted value of i-th grade of RS Sinr data.
7. a kind of radio frequency optimization device characterized by comprising obtain module, optimization aim chooses module, adjustment module, hair
Send module and judgment module；
The acquisition module, for obtaining total KPI Key Performance Indicator data and history radio frequency optimization data in area to be optimized；Institute
State the total KPI Key Performance Indicator data and optimization aim that history radio frequency optimization data include at least one area；Total crucial achievement
Effect achievement data includes the KPI Key Performance Indicator of at least one measuring point；
The optimization aim chooses module, total Key Performance in the area to be optimized for being obtained according to the acquisition module
Achievement data and the total KPI Key Performance Indicator for obtaining at least one area that module obtains, are obtained from the acquisition module
The final optimization pass target in the area to be optimized is chosen in the optimization aim at least one area taken；
The radio frequency adjustable parameter and its adjustable extent for obtaining module and being also used to obtain the area to be optimized；
The adjustment module, for choosing the final optimization pass target, the acquisition that module is chosen according to the optimization aim
The radio frequency adjustable parameter and the adjustable extent for obtaining the radio frequency adjustable parameter that module obtains that module obtains, foundation
Presetting method is adjusted the radio frequency parameter, to obtain radio frequency parameter adjusted value；
The sending module, for by it is described adjustment module obtain the radio frequency parameter adjusted value be sent to it is described to be optimizedly
The network management platform in area, so that the network management platform is according to the radio frequency parameter adjusted value to the radio frequency parameter in the area to be optimized
It is adjusted；
When the judgment module determines the area to be optimized of the acquisition module acquisition before and after the adjustment of its radio frequency parameter
Total KPI Key Performance Indicator data are there are when preset gain value, and the module that obtains is for reacquiring total key in area to be optimized
Performance indicators data and history radio frequency optimization data.
8. radio frequency optimization device according to claim 7, which is characterized in that the optimization aim is chosen module and specifically wrapped
It includes: accounting computing unit, processing unit and correlation calculations unit；
The accounting computing unit, for according to preset stepping rule by it is described acquisition module obtain it is described it is to be optimized area and
Total KPI Key Performance Indicator data at least one area carry out stepping, and calculate accounting for for each grade of KPI Key Performance Indicator data
Than；The accounting of each grade of KPI Key Performance Indicator data is the quantity that each grade of KPI Key Performance Indicator data correspond to measuring point
Account for the accounting that total KPI Key Performance Indicator data belonging to itself correspond to the quantity of measuring point；
The processing unit, for according to the calculated result of the accounting computing unit from the acquisition module obtain described in
First grade of KPI Key Performance Indicator data accounting is chosen in a few area and first grade of Key Performance in the area to be optimized refers to
The difference for marking data accounting is less than or equal to the first object optimization area of preset value；First grade of KPI Key Performance Indicator data are institute
Any grade of KPI Key Performance Indicator number after stating total KPI Key Performance Indicator data stepping belonging to first grade of KPI Key Performance Indicator data
According to；
The correlation calculations unit, each grade of pass in the area to be optimized for being calculated according to the accounting computing unit
The accounting of key performance indicators data calculates the overall relevancy in first object optimization area according to correlation weighted formula is preset
Score value；
The first object optimization area that the correlation calculations unit is also used to be calculated according to the accounting computing unit
The accounting of each grade of KPI Key Performance Indicator data calculates first object optimization area according to correlation weighted formula is preset
Overall relevancy score value；
The overall relevancy point with the area to be optimized that the processing unit is also used to calculate the correlation calculations unit
Value differs the smallest first object optimization area and determines the second objective optimization area, and by the optimization mesh in the second objective optimization area
Mark is determined as the final optimization pass target in the area to be optimized.
9. radio frequency optimization device according to claim 7, which is characterized in that further include update module；
The sending module is also used to choose the final optimization pass mesh to the area to be optimized in optimization aim selection module
After mark, the optimization aim is chosen into the final optimization pass target that module is chosen and is sent to optimization terminal；
The update module, the first optimization aim adjustment instruction sent for receiving the optimization terminal, and according to described the
One optimization aim adjustment instruction is chosen the final optimization pass target that module is chosen to the optimization aim and is updated, with again
Determine the final optimization pass target in the area to be optimized.
10. radio frequency optimization device according to claim 9, which is characterized in that
The sending module be also used to the network management platform that the radio frequency parameter adjusted value is sent to the area to be optimized it
Before, the radio frequency parameter adjusted value is sent to the optimization terminal；
The update module, for receiving the second optimization aim adjustment instruction of the optimization terminal, and it is excellent according to described second
Change the final optimization pass target that target adjustment instruction chooses module selection to the optimization aim to be updated, to redefine
The final optimization pass target in the area to be optimized.
11. radio frequency optimization device according to claim 9, which is characterized in that
When the judgment module determines the area to be optimized of the acquisition module acquisition before and after the adjustment of its radio frequency parameter
When preset gain value is not present in total KPI Key Performance Indicator data, adjustment failure command is sent to the optimization terminal；
The update module is also used to receive the third optimization aim adjustment instruction of optimization terminal, and optimizes mesh according to the third
Mark adjustment instruction is chosen the final optimization pass target that module is chosen to the optimization aim and is updated, described to redefine
The final optimization pass target in area to be optimized.
12. a kind of radio frequency optimization device, which is characterized in that including memory, processor, bus and communication interface；The storage
For storing computer executed instructions, the processor is connect with the memory by the bus device；When the radio frequency is excellent
When operation is set in makeup, the processor executes the computer executed instructions of the memory storage, so that described device is held
Row radio frequency optimization method as claimed in any one of claims 1 to 6.
13. a kind of computer storage medium, which is characterized in that the computer storage medium includes computer executed instructions, when
When the computer executed instructions are run on computers, so that the computer is executed as described in claim any one of 1-6
Radio frequency optimization method.
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