CN109005552A - The method for accurately assessing wireless network based on LTE MR data - Google Patents
The method for accurately assessing wireless network based on LTE MR data Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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Abstract
The invention discloses a kind of methods for accurately assessing wireless network based on LTE MR data, are related to radio network optimization technical field.This method is by using MRO Cell statistical file, MRO nearby region measurement file and engineering parameter table is interrelated that the cell-cell degree of association is calculated, covering equivalent redundancy is calculated using MRO Cell statistical file, and the type of problem cells is obtained according to the cell-cell degree of association and covering equivalent redundancy analysis.Therefore, method provided by the invention, the wireless coverage situation of the whole network each cell can be accurately assessed, 95% or more, the difficulty of the secondary sorting of engineer is reduced for the accuracy once sorted, completely without on-site land survey, and the cell of coverage optimization potentiality can be located, to accomplish only to be adjusted the cell for there are coverage optimization potentiality, and then maximumlly save human resources and time cost, the network optimization progress in the multiple cities of overall monitor promotes project management efficiency.
Description
Technical field
The present invention relates to radio network optimization technical fields, more particularly to a kind of LTE MR data that are based on accurately to assess wirelessly
The method of network.
Background technique
In communication network optimization and planning process, carries out wireless coverage assessment and be very important a job.It can be with
Communication network is adjusted according to the result that wireless coverage is assessed, can preferably be user service.For example, to existing net
MPS process is assessed, and weak overlay area is found, and increases new base station, improves signal covering；Or to covering signal surplus
Place carries out covering control, reduces interference, improves network quality.
In the wireless network, crossing covering is a very common phenomenon, and influences the principal element of network quality.Certain
Under specific topography and geomorphology, needs cell to have certain covering redundancy (cross and cover), connected to complete the signal of minizone.It is this
It is beneficial to user to cross covering, is that appropriate cross covers.If the signal of this redundancy is inhibited, it will cause users to go offline,
Influence user's perception.It is appropriate or excessive therefore, it is necessary to according to the actual situation, assess the covering of crossing of cell.
Currently, the wireless coverage assessment of cell is based primarily upon MR data, according to the 2-D data of the TA of MR data and RSRP
Relationship manually computes to obtain, and MR data can also be imported into FAST platform, will be on each geographical grid using location algorithm
Signal strength shows.It is appropriate or excessive for judging to cover, and generally requires on-the-spot test verifying, this assessment mode
It will cause the waste of human resources and the rising of time cost；And in assessment, it can only accomplish to position weak overlay area,
But be not possible to estimate whether radio coverage optimisation potentiality are limited, and if the cell being limited to coverage optimization potentiality is adjusted
It is whole, it will also result in the waste of human resources and the rising of time cost, while will cause the invalid network optimization.
Summary of the invention
The purpose of the present invention is to provide a kind of methods for accurately assessing wireless network based on LTE MR data, to solve
Foregoing problems existing in the prior art.
To achieve the goals above, The technical solution adopted by the invention is as follows:
A method of wireless network accurately being assessed based on LTE MR data, is included the following steps:
S1 obtains MR data, and the MR data include MRO Cell statistical file and MRO nearby region measurement file；
S2, the MRO nearby region measurement file are associated with engineering parameter table, generate ECI- engineering parameter table；
S3, the ECI- engineering parameter table are associated with the MRO Cell statistical file, generate ECI-MR- engineering parameter table；
S4 calculates the cell-cell degree of association: according to two according to the data in ECI-MR- engineering parameter table as follows
Longitude, the latitude of cell, are calculated the angle of two cell lines；According to the angle of the deflection of two cells and line,
The angle in cell direction and line and the cos value of angle is calculated；By the cos value of angle and (MR distance/two stop spacings from)
It is multiplied, obtains the cell-cell degree of association；
S5, according to the MR distance and MR level data of each cell in the MRO Cell statistical file, according to following formula
Calculate the covering equivalent redundancy value of each cell: Coverage Margin=Power (MR distance, 0.3)+MR level+94；
In formula, Coverage Margin is covering equivalent redundancy value,
Power is Excel function, this function performance is " calculated result for returning to digital power ", grammer are as follows:
POWER (number, power), wherein parameter number indicates the truth of a matter, and parameter power indicates index,
As Coverage Margin=0, the covering of cell is normal；
S6, according to what is be calculated in the maximum value for the cell-cell degree of association being calculated in S4 and minimum value, S 5
GE-6db rate and the MR level data of cell covered in ECI- engineering parameter table obtained in equivalent redundancy value, S2
Dbmavg obtains three classes problem cells.
Preferably, the three classes problem cells include: overlapping coverage cell, the weak coverage cell MR and need to increase transmission power
Or the cell of enhancing complement point, wherein the overlapping coverage cell have a characteristic that the maximum value of the cell-cell degree of association >=
1, minimum value<0 of the cell-cell degree of association covers equivalent redundancy value>4, Ge-6db rate>10%, and the overlapping covering is small
The problem of area solves by the following method: control coverage distance reduces interference；The weak coverage cell MR has a characteristic that small
Area-cell association degree maximum value>=1, minimum value<0 of the cell-cell degree of association cover equivalent redundancy value>-1, Ge-6db
The problem of rate > 10%, the weak coverage cell the MR solves by the following method: covering level can be improved in control coverage distance；
The cell that transmission power need to be increased or enhance complement point has a characteristic that maximum value < 1 of the cell-cell degree of association, covering
Equivalent redundancy value<-2, Ge-6db rate>25%, Dbmavg<-108, the cell that transmission power need to be increased or enhance complement point
It solves by the following method: increasing transmission power or enhancing complement point.
Preferably, further include step between S1 and S2, the data of MRO nearby region measurement file are started the cleaning processing, it is described
Cleaning treatment includes: deletion sampled point number lower than 1000 times or nearby region measurement number is lower than 20 data, deletes distance and surpasses
Cross 5 kilometers of neighbor data.
Preferably, S2 specifically: with the MRO nearby region measurement file for main table, by cell longitude, the latitude in engineering parameter table
Degree, deflection information association generate ECI- engineering parameter table into main table.
Preferably, S3 specifically: with the ECI- engineering parameter table be main table, by MRO Cell statistical file MR distance,
MR level data is associated in main table, generates ECI-MR- engineering parameter table.
The beneficial effects of the present invention are: provided in an embodiment of the present invention accurately assess wireless network based on LTE MR data
Method, by using MRO Cell statistical file, MRO nearby region measurement file and engineering parameter table is interrelated that cell-cell is calculated
The degree of association is calculated covering equivalent redundancy using MRO Cell statistical file, and is worked as according to the cell-cell degree of association and covering
Amount redundancy analysis obtains the type of problem cells.Therefore, method provided by the invention can accurately assess the whole network each cell
Wireless coverage situation, verified through various regions real network situation, the accuracy that this method once sorts is 95% or more, engineer
The difficulty of secondary sorting reduces, and completely without on-site land survey, and the cell of coverage optimization potentiality can be located, to do
To being only adjusted to the cell for there are coverage optimization potentiality, and then maximumlly save human resources and time cost, Quan Mianjian
The network optimization progress in multiple cities is controlled, project management efficiency is promoted.
Detailed description of the invention
Fig. 1 is the method flow schematic diagram provided by the invention that wireless network is accurately assessed based on LTE MR data；
Fig. 2 is the schematic illustration for calculating the cell-cell degree of association；
Fig. 3 is the schematic illustration for calculating covering equivalent redundancy value；
Fig. 4 is the data screenshot of MRO Cell statistical file；
Fig. 5 is the data screenshot of MRO nearby region measurement file；
Fig. 6 is the data screenshot of engineering parameter table；
Fig. 7 is the data screenshot of the cell-cell degree of association of cell and covering equivalent redundancy in the region of output；
Fig. 8 is the type of the region inner question cell of output.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing, to the present invention into
Row is further described.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, it is not used to
Limit the present invention.
As shown in Figure 1, the embodiment of the invention provides a kind of method for accurately assessing wireless network based on LTE MR data,
Include the following steps:
S1 obtains MR data, and the MR data include MRO Cell statistical file and MRO nearby region measurement file；
S2, the MRO nearby region measurement file are associated with engineering parameter table, generate ECI- engineering parameter table；
S3, the ECI- engineering parameter table are associated with the MRO Cell statistical file, generate ECI-MR- engineering parameter table；
S4 calculates the cell-cell degree of association: according to two according to the data in ECI-MR- engineering parameter table as follows
Longitude, the latitude of cell, are calculated the angle of two cell lines；According to the angle of the deflection of two cells and line,
The angle in cell direction and line and the cos value of angle is calculated；By the cos value of angle and (MR distance/two stop spacings from)
It is multiplied, obtains the cell-cell degree of association；
S5, according to the MR distance and MR level data of each cell in the MRO Cell statistical file, according to following formula
Calculate the covering equivalent redundancy value of each cell: Coverage Margin=Power (MR distance, 0.3)+MR level+94；
In formula, Coverage Margin is covering equivalent redundancy value,
Power is Excel function, this function performance is " calculated result for returning to digital power ", grammer are as follows:
POWER (number, power), wherein parameter number indicates the truth of a matter, and parameter power indicates index,
As Coverage Margin=0, the covering of cell is normal；
S6, according to what is be calculated in the maximum value for the cell-cell degree of association being calculated in S4 and minimum value, S 5
GE-6db rate and the MR level data of cell covered in ECI- engineering parameter table obtained in equivalent redundancy value, S2
Dbmavg obtains three classes problem cells.
Wherein, MRO Cell statistical file (MRO_STAT_SUMMY.csv), MRO nearby region measurement file (MRO_ECIECI_
SUMMY.csv), both of these documents are originated from original xml record and are converted to csv file.
In S4, the Computing Principle of the cell-cell degree of association are as follows:
" cell association degree " reflects the overlapping level of coverage of cell.Overlapping coverage evaluating focuses on differentiation overlapping
Whether reasonable, so the standard that overlapping coverage is overlapped covering resonable degree as judgement cannot be used alone, usually come if covering
It says, distance is closer, and overlapping coverage can be higher.Therefore, " cell association degree " also needs combining station away from progress comprehensive assessment.
Fig. 2 is two LTE base station schematic diagrames.The deflection of two base stations known CELL1 and CELL2, the MR of two cells
User's TA average distance S1 and S2, CELL1 and CELL2 extend S1 meters and S2 meters along cell main lobe direction respectively, arrive separately at a1
Point and a2 point, this line is main covering line.Since S1 and S2 are that user's TA average distance, then a1 point and a2 point can be considered two
The center of the Best Sever (most forceful electric power be convinced business) of cell.
(i.e. a1 point and a2 point do hang down point b1 point and b2 point, base station to b1 to two station lines respectively to main covering line projection length
The distance of point and b2 point) it is respectively L1 and L2, this cell is characterized for the covering influence degree of Target cell.Assuming that two small
The distance in area is Dist, then main covering line projection length/stop spacing of two cells: L1/Dist value, L2/Dist value, are exactly small
Area-cell association degree.
In S5, the Computing Principle of the covering equivalent redundancy value of cell are as follows:
It for the cell of weak covering, needs to consider the coverage condition of peripheral cell, assesses their covering power
(Coverage Margin), it is determined whether there are the strong cells of covering of covering redundancy.If there is covering redundancy, then can pass through
Coverage area is adjusted to share the edge customer of weak coverage cell, improves the whole covering in the region.
The covering power of a cell is measured, is usually measured with sampled level (dbmavg) or MR coverage rate.But this
All there is limitation in two indices, for example, coverage area is accordingly smaller, samples at this time when the setting of antenna in cell inclination angle is bigger
Level (dbmavg) and MR coverage rate are all very high.Although very well, traffic absorbability is limited, not for this MPS process index
It is a normal cell.Therefore, it is contemplated that when the covering power of a cell, need to comprehensively consider the use of the cell
Family sampled distance (S1 in such as Fig. 3).
Therefore, in the embodiment of the present invention, covering equivalent redundancy Coverage Margin is calculated according to following formula:
Coverage Margin=Power (MR distance S1,0.3), 1)+Dbmavg+94
In this formula, S1 is MR distance, and Dbmavg is MR level.MR distance is converted to road using Power function
Diameter loss value simulates the propagation characteristic of wireless signal " decaying because distance increases ".When transmission power is constant, the whole network is all
It is a constant that the average MR level of cell is added with average path loss value, is approximately equal to -94.For ease of use, this is public
Formula increases constant 94, this formula is made to be zeroed.
As Coverage Margin=0, cell is the normal cell of covering；The value of Coverage Margin
It is bigger, it is bigger to the help of peripheral cell.When a region there are more Coverage Margin be negative value cell when,
Then the region needs newly-increased website, to promote the whole covering in the region.
In S6, it is calculated according in the maximum value for the cell-cell degree of association being calculated in S4 and minimum value, S 5
The covering equivalent redundancy value of cell, GE-6db rate and the MR level data in ECI- engineering parameter table obtained in S2
Dbmavg obtains three classes problem cells, comprising: is overlapped coverage cell, the weak coverage cell MR and need to increase transmission power or enhancing
The cell of complement point, wherein the overlapping coverage cell has a characteristic that maximum value >=1 of the cell-cell degree of association, cell-
The problem of minimum value<0 of cell association degree, covering equivalent redundancy value>4, Ge-6db rate>10%, the overlapping coverage cell
Solve by the following method: control coverage distance reduces interference；The weak coverage cell MR has a characteristic that cell-cell
Maximum value>=1 of the degree of association, minimum value<0 of the cell-cell degree of association, covering equivalent redundancy value>-1, Ge-6db rate>
The problem of weak coverage cell 10%, the MR solves by the following method: covering level can be improved in control coverage distance；The need
Increasing transmission power or the cell for enhancing complement point have a characteristic that maximum value < 1 of the cell-cell degree of association, and covering equivalent is superfluous
Residual value<-2, Ge-6db rate>25%, Dbmavg<-108, the cell that need to be increased transmission power or enhance complement point pass through such as
Lower method solves: increasing transmission power or enhancing complement point.
Above-mentioned three classes problem cells, can be as shown in the table:
Note: Correlation (max), Correlation (min) be respectively the degree of association of two cells maximum value and
Minimum value.
Three classes problem cells are analyzed as follows:
A) it is overlapped coverage cell:
Correlation (max) is greater than 1 and shows have the covering projector distance an of cell to surmount two stop spacings from apart from mistake
Far；Correlation (min) less than 0, then show to have a cell another cell backwards；Ge-6db rate is greater than
10%, it is meant that two are implicitly present in covering overlapping phenomenon.The covering equivalent redundancy of adjacent area is greater than 4, it is meant that the covering of adjacent area
Very capable, this covering overlapping phenomenon is easy to form this cell and interfere；
In conjunction with 4 conditions above, it can be deduced that conclusion: controlling the covering of this adjacent area, it is possible to reduce do to this cell
It disturbs.
B) the weak coverage cell MR:
Correlation (max) is greater than 1, shows have the covering projector distance an of cell to surmount two stop spacings from apart from mistake
Far；Correlation (min) less than 0, then show to have a cell another cell backwards；Ge-6db rate is greater than
10%, it is meant that two are implicitly present in covering overlapping phenomenon.The covering equivalent redundancy of adjacent area is less than -1, it is meant that this adjacent cell
Inappropriate region is covered, itself weak covering is caused；
In conjunction with 4 conditions above, it can be deduced that conclusion: the covering of this adjacent cell is controlled, it, will in reasonable coverage area
Directly improve the coverage rate of this cell.
C) transmission power need to be increased or enhance the cell of complement point:
The maximum value Correlation (max) of the degree of association of two cells is less than 1, it is meant that exceeds without MPS process
Range, also without too big adjustment space；Ge-6db rate is greater than 25%, it is meant that the two cells have important adjacent area
Relationship, not isolated island base station；Average level dbmavg, which is less than -108dbm, means that the covering power of this cell is weak；Adjacent area
It covers equivalent redundancy and is less than -2, it is meant that can not being improved by periphery adjacent area cell for this cell covers；
In conjunction with 4 conditions above, it can be deduced that conclusion: this cell can not be mentioned by itself adjustment or adjacent area adjustment
Height covering needs to increase transmission power, or increases new website.
As it can be seen that can accurately assess the wireless coverage situation of the whole network each cell, nothing using method provided by the invention
Palpus on-site land survey, and the cell of coverage optimization potentiality can be located, to accomplish only to the cell for having coverage optimization potentiality
It is adjusted, and then maximumlly saves human resources and time cost.
It can also include step between S1 and S2, by MRO nearby region measurement file in a preferred embodiment of the present invention
Data start the cleaning processing, and the cleaning treatment includes: deletion sampled point number lower than 1000 times or nearby region measurement number is lower than
20 data delete neighbor data of the distance more than 5 kilometers.
Using the above method, it can be pre-processed before data use, the invalid data in file is carried out
It deletes, so that avoiding the interference of these invalid datas in real use process, influences treatment process, also influence final meter
Calculate result.
In the present embodiment, sampled point number is lower than lower than 1000 times or nearby region measurement number to 20 data, and away from
It is cleared up from the neighbor data more than 5 kilometers as invalid data.
As will be understood by the skilled person in the art, can also according to the actual situation, user's sets itself invalid data, from
Deleted in MRO nearby region measurement file, so as not to influence subsequent treatment process and as a result,
In the present embodiment, S2 is specifically as follows: with the MRO nearby region measurement file for main table, by the cell in engineering parameter table
Longitude, latitude, deflection information association generate ECI- engineering parameter table into main table.
S3 is specifically as follows: with the ECI- engineering parameter table for main table, by the MR distance in MRO Cell statistical file, MR electricity
Flat data correlation generates ECI-MR- engineering parameter table into main table.
Method provided by the invention is referred to following steps in the specific use process:
Step 1 carries out parameter setting；
The parameter of operation has a significant impact for the precision for exporting result, and default as shown in the table is used in the present embodiment
It is arranged (user can also rule of thumb be modified):
Step 2, input network data: MRO Cell statistical file (as shown in Figure 4), MRO nearby region measurement file are (such as Fig. 5 institute
Show), cell engineering parameter table (as shown in Figure 6)；
Step 3 clicks " MR covering analyzing " button, and output cell association degree covers the analysis result of equivalent redundancy (as schemed
Shown in 7) and problem cells type (as shown in Figure 8).
Existing analytical model is by Optimization Platform/optimization tool, and preliminary to sort problem cell, accuracy is general
For 20%-50%, engineer is needed to carry out secondary sorting by rule of thumb, and want on-site land survey, determines whether positioning problems are accurate；
Method provided by the invention quickly can carry out " health examination " to each cell of the whole network, disposably sort out three classes
Problem cells.It is verified through various regions real network situation, the accuracy which once sorts is 95% or more, secondary point of engineer
The difficulty picked reduces, and completely without on-site land survey, reduces a large amount of human cost and time cost.On the other hand, the algorithm
The network optimization progress in the multiple cities of energy overall monitor, promotes project management efficiency.
In March, 2016, by method provided by the invention in 5, Guangdong Province districts and cities (Zhanjiang, Maoming, Yangjiang, tide
State, Meizhou) it promotes the use of, all stable promotion of the network structure indices of 5 districts and cities.With " the overlapping coverage rate of 5 districts and cities
Greater than 2 ratios " data (as shown in the table) for:
Under " overlapping coverage rate is greater than 2 ratios " that index situation described in table can be seen that various regions has significantly
Drop.So using method provided in an embodiment of the present invention, not only without carrying out artificial on-site land survey, but also for this method point
The problem of analysis obtains cell is adjusted, and network index has obtained apparent improvement, it is seen then that method provided by the invention can have
Effect estimate MPS process optimization potentiality, so as to effectively be adjusted to it, be greatly saved human resources and when
Between cost, improve network optimization ability.
By using above-mentioned technical proposal disclosed by the invention, obtained following beneficial effect: the embodiment of the present invention is mentioned
The method for accurately assessing wireless network based on LTE MR data supplied, by utilizing MRO Cell statistical file, MRO nearby region measurement
File and engineering parameter table is interrelated that the cell-cell degree of association is calculated, is calculated covering using MRO Cell statistical file
Equivalent redundancy, and the type of problem cells is obtained according to the cell-cell degree of association and covering equivalent redundancy analysis.Therefore, this hair
The method of bright offer can accurately assess the wireless coverage situation of the whole network each cell, verify through various regions real network situation,
95% or more, the difficulty of the secondary sorting of engineer is reduced for the accuracy that this method once sorts, completely without on-site land survey,
And the cell of coverage optimization potentiality can be located, thus accomplish only to be adjusted the cell for having coverage optimization potentiality, into
And human resources and time cost are maximumlly saved, the network optimization progress in the multiple cities of overall monitor promotes project management
Efficiency.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
Depending on protection scope of the present invention.
Claims (5)
1. a kind of method for accurately assessing wireless network based on LTE MR data, which comprises the steps of:
S1 obtains MR data, and the MR data include MRO Cell statistical file and MRO nearby region measurement file；
S2, the MRO nearby region measurement file are associated with engineering parameter table, generate ECI- engineering parameter table；
S3, the ECI- engineering parameter table are associated with the MRO Cell statistical file, generate ECI-MR- engineering parameter table；
S4 calculates the cell-cell degree of association: according to two cells according to the data in ECI-MR- engineering parameter table as follows
Longitude, latitude, the angle of two cell lines is calculated；According to the angle of the deflection of two cells and line, calculate
Obtain the angle in cell direction and line and the cos value of angle；The cos value of angle is multiplied with (MR distance/two stop spacings from),
Obtain the cell-cell degree of association；
S5 is calculated according to the MR distance and MR level data of each cell in the MRO Cell statistical file according to following formula
The covering equivalent redundancy value of each cell: Coverage Margin=Power (MR distance, 0.3)+MR level+94；
In formula, Coverage Margin is covering equivalent redundancy value,
Power is Excel function, this function performance is " calculated result for returning to digital power ", grammer are as follows: POWER
(number, power), wherein parameter number indicates the truth of a matter, and parameter power indicates index,
As Coverage Margin=0, the covering of cell is normal；
S6, according to the cell being calculated in the maximum value for the cell-cell degree of association being calculated in S4 and minimum value, S 5
Covering equivalent redundancy value, GE-6db rate and MR the level data Dbmavg in ECI- engineering parameter table obtained in S2, obtain
To three classes problem cells.
2. the method according to claim 1 for accurately assessing wireless network based on LTE MR data, which is characterized in that described
Three classes problem cells include: to be overlapped coverage cell, the weak coverage cell MR and need to increase transmission power or enhance the cell of complement point,
In, the overlapping coverage cell has a characteristic that maximum value >=1 of the cell-cell degree of association, the cell-cell degree of association
The problem of minimum value<0, covering equivalent redundancy value>4, Ge-6db rate>10%, the overlapping coverage cell, is by the following method
Solve: control coverage distance reduces interference；The weak coverage cell MR has a characteristic that the maximum of the cell-cell degree of association
Value>=1, minimum value<0 of the cell-cell degree of association cover equivalent redundancy value>-1, Ge-6db rate>10%, and the MR is weak to be covered
The problem of lid cell solves by the following method: covering level can be improved in control coverage distance；It is described need to increase transmission power or
The cell of enhancing complement point has a characteristic that maximum value < 1 of the cell-cell degree of association, covers equivalent redundancy value < -2, Ge-6db
Rate>25%, Dbmavg<-108, the cell that need to be increased transmission power or enhance complement point solve by the following method: increasing
Transmission power or enhancing complement point.
3. the method according to claim 1 for accurately assessing wireless network based on LTE MR data, which is characterized in that S1 and
Further include step between S2, the data of MRO nearby region measurement file are started the cleaning processing, the cleaning treatment includes: that deletion is adopted
Sampling point number is lower than 1000 times or nearby region measurement number is lower than 20 data, deletes neighbor data of the distance more than 5 kilometers.
4. the method according to claim 1 for accurately assessing wireless network based on LTE MR data, which is characterized in that S2 tool
Body are as follows: with the MRO nearby region measurement file for main table, by the cell longitude in engineering parameter table, latitude, deflection information association to master
In table, ECI- engineering parameter table is generated.
5. the method according to claim 4 for accurately assessing wireless network based on LTE MR data, which is characterized in that S3 tool
Body are as follows: with the ECI- engineering parameter table for main table, the MR distance in MRO Cell statistical file, MR level data are associated with main table
In, generate ECI-MR- engineering parameter table.
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| CN113133019A (en) * | 2019-12-30 | 2021-07-16 | 中国移动通信集团四川有限公司 | Method for outputting network optimization scheme |
| CN113923671A (en) * | 2020-07-07 | 2022-01-11 | 中国移动通信集团重庆有限公司 | Frequency resetting method, device, equipment and storage medium |
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| CN113923671B (en) * | 2020-07-07 | 2024-05-07 | 中国移动通信集团重庆有限公司 | Frequency resetting method, device, equipment and storage medium |
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