CN105120478B - A kind of frequency optimization method and system - Google Patents
A kind of frequency optimization method and system Download PDFInfo
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- CN105120478B CN105120478B CN201510430924.XA CN201510430924A CN105120478B CN 105120478 B CN105120478 B CN 105120478B CN 201510430924 A CN201510430924 A CN 201510430924A CN 105120478 B CN105120478 B CN 105120478B
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Abstract
The invention discloses a kind of frequency optimization method and systems, by the way that frequency optimization grade is arranged；It chooses to frequency optimization cell；Frequency optimization processing is carried out to frequency optimization cell for what is selected；Whether determination frequency optimization achieves the desired results；Judge whether current optimizing cycle expires；Further judge that can optimizing cycle delay；Generate frequency optimization report.The frequency optimization method and system can effectively promote the signal quality of mobile network.The frequency optimization method and system can effectively promote the signal quality of mobile network.
Description
Technical field
The present invention relates to network technique field, in particular to a kind of frequency optimization method and system.
Background technique
With the continuous growth of userbase, there is varied problem in mobile network's operational process, such as: words
Be engaged in that density unevenness, frequency resource are nervous, network configuration is bad etc., these factors seriously restrict mentioning for mobile network signals quality
Height, so that the development of mobile network is difficult to meet the actual use demand of user.
In the prior art, the limitation based on technology development, the promotion of mobile network signals quality is often through single promotion
Network configuration is realized.Since the promotion of network configuration needs a large amount of man power and material's investment, project scale is great, project
Implementation cycle is longer, and after investment actual motion, later period operation, maintenance, update etc. require to spend biggish energy, from
And it is caused to implement to have little effect to the promotion of entire mobile network signals quality by biggish limitation.
Summary of the invention
The embodiment of the invention provides a kind of frequency optimization method and systems, can optimize to the frequency of mobile network
Processing, to effectively promote the signal quality of mobile network.
Technical solution provided in an embodiment of the present invention is as follows:
On the one hand, a kind of frequency optimization method is provided, comprising:
Step 101: setting frequency optimization grade；
Step 102: choosing to frequency optimization cell；
Step 103: frequency optimization processing carries out frequency optimization processing to frequency optimization cell for what is selected；
Step 104: whether determination frequency optimization achieves the desired results；If it is, thinking that current frequency optimization reaches pre-
Phase effect terminates current frequency optimization, enters step 107；If it is not, then entering step 105；
Step 105: judging whether current optimizing cycle expires, return step 101 if not expired optimize according to residue
Period and effect of optimization reset frequency optimization grade；Restart a wheel frequency optimization；If expired, step 106 is gone to；
Step 106: further judging that can optimizing cycle delay, if it is possible to then further return step 101 of delaying, root
The effect of optimization according to extended optimizing cycle and not yet completed resets frequency optimization grade；
Step 107: generating frequency optimization report.
Preferably, the frequency optimization processing further comprises following steps:
Step 201: basis signal data of the acquisition to frequency optimization cell, wherein basis signal data include at least day
Linear system system census data, cell data and network measurement data；
Step 202: according to basis signal data collected generate interference matrix, the interference matrix can according to it is different when
Between section basis signal data collected generate multiple interference matrix；
Step 203: for the interference matrix of multiple and different periods, carrying out simulation frequency respectively to frequency optimization cell to each
Rate adjustment, to obtain the frequency adjustment solution under multiple and different periods；From the frequency adjustment solution under multiple and different periods
Select a kind of frequency adjustment solution；
Step 204: carrying out carrying out frequency optimization to frequency optimization cell to each according to the frequency adjustment solution of selection；
Step 205: each cell after frequency optimization being evaluated and tested respectively, and is determined at frequency optimization according to evaluation result
It whether up to standard manages；
Step 206: extracting all Cell Broadcast CB control channel BCCH (Broadcast Control in distance to a declared goal
Channel) and base station identity code BSIC (Base Station Identity Code), the same BSIC of same BCCH is judged whether there is
The case where；
Step 207: if occurring with BCCH the case where with BSIC in distance to a declared goal, identical BSIC is adjusted,
And return step 206, judged again, to avoid occurring the case where new same BCCH is with BSIC after adjustment；
Step 208: if not occurring the case where same BCCH is with BSIC in distance to a declared goal, terminating.
Preferably, described to specifically comprise the following steps: according to whether evaluation and test frequency optimization processing is up to standard
Step S1: the index for selection parameter from the basis signal data after frequency optimization；According to the needs of evaluation and test from basis
Required index parameter is chosen in signal data；
Step S2: according to different acquisition time sections, index parameter and mesh after calculating separately each period frequency optimization
Mark the difference of index parameter；The difference of each period is weighted processing, obtains comprehensive difference；
Step S3: judge whether comprehensive difference is greater than preset threshold；If comprehensive difference is greater than preset threshold, it is determined that refer to
The optimization processing for marking parameter is not up to standard, and return step 202 regenerates interference square according to the basis signal data after frequency optimization
Battle array；If comprehensive difference is less than or equal to preset threshold, it is determined that the optimization processing of index parameter is up to standard, executes step 206.
Preferably, the frequency adjustment solution in the step 203 obtains in the following manner:
Day part interference matrix is weighted to obtain integrated interference matrix, carries out simulation frequency for the integrated interference matrix
Rate adjustment, to obtain single-frequency Adjusted Option.
Preferably, the antenna system census data includes: latitude and longitude of base station, base station height, antenna extension height, antenna bearingt
Angle and the main covering parameter of angle of declination, antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；
The cell data include: critical outer net cell frequency, repeater and in-door covering data, management object data,
Network size carrier data；
The network measurement data includes: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency
Spot scan data.
On the other hand, a kind of frequency optimization system is provided, comprising:
Frequency optimization grade setup module 401, for frequency optimization grade to be arranged；
Module 402 is chosen to frequency optimization cell, for being arranged accordingly to frequency according to different frequency optimization grades
Optimize cell selected threshold, chooses to frequency optimization cell；
Frequency optimization processing module 403, for carrying out frequency optimization processing to frequency optimization cell to what is selected；
Frequency optimization effect determination module 404, for after frequency optimization, each cell after extracting frequency optimization to refer to
Mark judges whether current frequency optimization achieves the desired results, if current frequency optimization achieves the desired results, by frequency optimization
Report generation module 407 is further processed；
Optimizing cycle expires judgment module 405, for judge current frequency optimization in frequency optimization effect determination module 404
When falling flat, judge whether current optimizing cycle expires；By frequency optimization grade setup module if not expired
401 reset frequency optimization grade according to remaining optimizing cycle and effect of optimization；Restart a wheel frequency optimization；
Optimizing cycle extension judgment module 406, for judging current optimizing cycle in the optimizing cycle judgment module 405 that expires
When expiring, further judge that can optimizing cycle delay；By 401 basis of frequency optimization grade setup module if it can delay
Extended optimizing cycle and the effect of optimization not yet completed reset frequency optimization grade；
Frequency optimization report generation module 407, for after the completion of frequency optimization, no matter whether frequency optimization to reach expected effect
Fruit, all report of generation frequency optimization.
Preferably, the frequency optimization processing module 403 includes:
Data acquisition module 501, for acquiring the basis signal data to frequency optimization cell, wherein basis signal number
According to including at least antenna system census data, cell data and network measurement data；
Interference matrix generation module 502 generates interference matrix according to basis signal data collected.The interference matrix
Multiple interference matrix can be generated according to different time sections basis signal data collected, it is excellent to frequency in network to reflect comprehensively
The case where changing cell day part；
Analog frequency adjustment and frequency scheme selecting module 503, for being directed to the interference matrix of multiple and different periods, to each
It is a to carry out analog frequency adjustment respectively to frequency optimization cell, so that the frequency adjustment solution under multiple and different periods is obtained, and
A kind of frequency adjustment solution is selected from the frequency adjustment solution under multiple and different periods；
Frequency optimization module 504, for according to the frequency adjustment solution of selection to it is each carry out to frequency optimization cell into
Line frequency optimization；
Evaluation and test module 505 evaluates and tests each cell after frequency optimization respectively, and determines that frequency is excellent according to evaluation result
Whether change processing is up to standard；
With BBCH with BSIC determining module 506, for extracting all Cell Broadcast CB control channel BCCH in distance to a declared goal
(Broadcast Control Channel) and base station identity code BSIC (Base Station Identity Code), judgement
The case where with the presence or absence of same BCCH with BSIC；
BSIC adjusts module 507, for determining exist with BCCH with the feelings of BSIC with BSIC determining module 506 in same BBCH
Under condition, then identical BSIC is adjusted.
Preferably, above-mentioned evaluation and test module 505 can specifically include:
Extraction unit 601, for the index for selection parameter from the basis signal data after frequency optimization；According to the need of evaluation and test
Required index parameter is chosen from basis signal data；
Computing unit 602, for the index according to different acquisition time sections, after calculating separately each period frequency optimization
The difference of parameter and target indicator parameter；The difference of each period is weighted processing, obtains comprehensive difference；
First determination unit 603: for determining at the optimization of index parameter when comprehensive difference is less than or equal to preset threshold
It manages up to standard；
Second determination unit 604: for determining that the optimization processing of index parameter is reached when comprehensive difference is greater than preset threshold
Mark.
Preferably, above-mentioned evaluation and test module 503 can further comprise:
Frequency adjustment solution weights generation module 5031, for being weighted day part interference matrix to obtain integrated interference
Matrix carries out analog frequency adjustment for the integrated interference matrix, to obtain single-frequency Adjusted Option.
Preferably, the antenna system census data includes: latitude and longitude of base station, base station height, antenna extension height, antenna bearingt
Angle and the main covering parameter of angle of declination, antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；
The cell data include: critical outer net cell frequency, repeater and in-door covering data, management object data,
Network size carrier data；
The network measurement data includes: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency
Spot scan data.
Frequency optimization method provided in an embodiment of the present invention and system, by the way that frequency optimization grade is arranged；It chooses to frequency
Optimize cell；Frequency optimization processing is carried out to frequency optimization cell for what is selected；Whether determination frequency optimization reaches expected
Effect；Judge whether current optimizing cycle expires；Further judge that can optimizing cycle delay；Generate frequency optimization report.It should
Frequency optimization method and system can effectively promote the signal quality of mobile network.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only one recorded in the present invention
A little embodiments are also possible to obtain other drawings based on these drawings for those of ordinary skill in the art.
Fig. 1 is a kind of flow chart of frequency optimization method provided in an embodiment of the present invention；
Fig. 2 be another embodiment of the present invention provides a kind of frequency optimization method flow chart；
Fig. 3 be another embodiment of the present invention provides a kind of frequency optimization method flow chart；
Fig. 4 be another embodiment of the present invention provides a kind of frequency optimization system structural schematic diagram；
Fig. 5 be another embodiment of the present invention provides a kind of frequency optimization system structural schematic diagram；
Fig. 6 be another embodiment of the present invention provides a kind of frequency optimization system structural schematic diagram；
Specific embodiment
The scheme of embodiment in order to enable those skilled in the art to better understand the present invention with reference to the accompanying drawing and is implemented
Mode is described in further detail the embodiment of the present invention.
As shown in Figure 1, being a kind of frequency optimization method provided in an embodiment of the present invention, comprising:
Step 101: setting frequency optimization grade.The setting of frequency optimization grade depends on the excellent of current frequency optimization project
Change effect and optimizing cycle.When effect of optimization is high and the long corresponding frequency optimization grade highest of optimizing cycle, and effect of optimization
The short then corresponding frequency optimization grade of low and optimizing cycle is minimum.Wherein optimizing cycle refers to the estimated completion of current optimization project
Time can also be digit day usually using the moon as digit.Effect of optimization refers to the improvement of optimization front and back evaluation metrics
Degree, those skilled in the art can choose evaluation metrics according to demand, and details are not described herein.The grade of frequency optimization grade is total
Number can flexible setting according to actual needs, exemplary setting is Pyatyi altogether in present embodiment, and wherein L1 highest, L5 are minimum.
As shown in table 1, when effect of optimization > 90%, optimizing cycle > 3 months and < 4 months, corresponding frequency optimization grade is grade
When L1, effect of optimization > 90%, optimizing cycle < 3 months and > 2 months, corresponding frequency optimization grade is grade L2, optimization
Effect < 90% and when > 80%, if at optimizing cycle > 2 months and < 3 months, corresponding frequency optimization grade is grade L3,
Effect of optimization < 90% and when > 80%, optimizing cycle < 2 months when, corresponding frequency optimization grade is grade L4, other feelings
When condition, corresponding frequency optimization grade is grade L5.
| Frequency optimization grade | Effect of optimization | Optimizing cycle |
| L1 | > 90% | < & > 3 months 4 months |
| L2 | > 90% | < & > 2 months 3 months |
| L3 | < 90%& > 80% | < & > 2 months 3 months |
| L4 | < 90%& > 80% | < 2 months |
| L5 | Other | Other |
Table 1
Step 102: choosing to frequency optimization cell.Refer to that frequency has cell to be optimized to frequency optimization cell, it can be with
Acquire basis signal data to frequency optimization cell, wherein basis signal data include at least antenna system census data, small
Area's data and network measurement data.The antenna system census data, such as latitude and longitude of base station, base station height, antenna hang high, day
Line azimuth and the main covering of angle of declination, antenna type (electrical characteristic including antenna), antenna in cell, ambient enviroment electronic photographs
Deng；Such as critical outer net cell frequency of the cell data, repeater and in-door covering, MO data statistics, network size carry
Wave number；The network data, such as busy period frequency sweep, drive test data, traffic measurement, adjacent area electricity frequency measurement, frequency point scanning, wirelessly
Signal measurement report MR, customer complaint record, network problem point summarize.According to different frequency optimization grades, setting is corresponding
To frequency optimization cell selected threshold, frequency optimization higher grade, and corresponding selected threshold is lower, this means that more is small
Area will be chosen for frequency optimization cell.Conversely, corresponding selected threshold is higher, that is, means when frequency optimization lower grade
Less cell will be chosen for frequency optimization cell.
Step 103: frequency optimization processing.Frequency optimization processing is carried out to frequency optimization cell for what is selected.
Step 104: whether determination frequency optimization achieves the desired results.After frequency optimization, after extracting frequency optimization
Each cell index is determined that a preferred embodiment according to the present invention is taken identical to frequency optimization cell as selection
Mode, according to such as latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna type (including
The electrical characteristic of antenna), the main covering of antenna in cell, ambient enviroment electronic photographs etc. antenna system census data, and such as
Critical outer net cell frequency, repeater and in-door covering, MO data statistics, network size carrier number cell data, such as
Busy period frequency sweep, drive test data, traffic measurement, adjacent area electricity frequency measurement, frequency point scanning, wireless signal measurement report MR, client throw
Tell that the various ways such as the network data that record, network problem point summarize etc. are chosen again to frequency optimization cell.Frequency is implemented in judgement
Rate optimization after choose again to frequency optimization number of cells and implement frequency optimization before choose to frequency optimization number of cells
Ratio whether be less than (1- setting frequency optimization grade corresponding to effect of optimization), if it is, thinking that current frequency is excellent
Change achieves the desired results, and terminates current frequency optimization, enters step 107；If it is not, then entering step 105.It is according to the present invention
One preferred embodiment, if the frequency optimization grade of setting is L1, corresponding effect of optimization > 90%, optimizing cycle >
At 4 months 3 months and <, chosen again after implementing frequency optimization to frequency optimization number of cells and before implementing frequency optimization
The ratio to frequency optimization number of cells chosen is less than 10%, then it is assumed that this time frequency optimization achieves the desired results.Such as fruit
Apply chosen after frequency optimization again to frequency optimization number of cells and implementing choose before frequency optimization to frequency optimization cell
The ratio of quantity is greater than 10%, then it is assumed that this time frequency optimization falls flat.A preferred implementation according to the present invention
Mode is chosen after implementing frequency optimization again if choosing before implementing frequency optimization is 100 to frequency optimization number of cells
Be 8 to frequency optimization number of cells, the ratio of the two is 8%, be less than (1-90%), i.e., less than 10%, then it is believed that this
Secondary frequencies optimization achieves the desired results.
Step 105: judging whether current optimizing cycle expires, return step 101 if not expired optimize according to residue
Period and effect of optimization reset frequency optimization grade；Restart a wheel frequency optimization.If expired, step 106 is gone to.
A preferred embodiment according to the present invention, if the frequency optimization grade of setting is L1, corresponding optimizing cycle > 3
Month and < 4 months, optimizing cycle is still less than 4 months at this time, then further return step 101, according to remaining optimizing cycle with
And the effect of optimization not yet completed resets frequency optimization grade, illustratively, at this time can setpoint frequency optimization grade be L5.
Step 106: further judging that can optimizing cycle delay, if it is possible to then further return step 101 of delaying, root
The effect of optimization according to extended optimizing cycle and not yet completed resets frequency optimization grade, illustratively, can set at this time
Determining frequency optimization grade is L5.If cannot delay, 107 are entered step.
Step 107: generating frequency optimization report.After the completion of frequency optimization, no matter whether effect of optimization is completed, and all generates frequency
Rate optimization report.Original wireless parameter comprising each cell, wireless parameter, optimization front and back after optimization in the frequency optimization report
KPI index comparison etc..
As shown in Fig. 2, the frequency optimization processing further comprises:
Step 201: basis signal data of the acquisition to frequency optimization cell, wherein basis signal data include at least day
Linear system system census data, cell data and network measurement data.
Wherein, above-mentioned antenna system census data specifically includes: latitude and longitude of base station, base station height, antenna hang high, antenna side
Parallactic angle and the main covering parameter of angle of declination, antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；Cell data includes: to face
Out-of-bounds net cell frequency, repeater and in-door covering data, management object data, network size carrier data；Network measure number
According to including: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.According to frequency optimization
The basis signal data of the different acquisition of grade more periods.Illustratively, it when frequency optimization grade is L1, acquires per hour
Basis signal data；And when frequency optimization grade is L4, a basis signal data are respectively only acquired in busy and idle time,
Wherein the selection of busy and idle is chosen by those skilled in the art according to telephone traffic or network congestion.
Step 202: generating interference matrix.Interference matrix is generated according to basis signal data collected.The interference square
Battle array can generate multiple interference matrix according to different time sections basis signal data collected, to reflect in network to frequency comprehensively
The case where optimizing cell day part.
Step 203: for the interference matrix of multiple and different periods, carrying out simulation frequency respectively to frequency optimization cell to each
Rate adjustment, to obtain the frequency adjustment solution under multiple and different periods；From the frequency adjustment solution under multiple and different periods
Select a kind of frequency adjustment solution.
Illustratively, when frequency optimization grade is L1, due to acquiring a basis signal data per hour, correspondingly
Acquisition has 24 basis signal data to get to 24 interference matrix altogether within one day, can give birth to for 24 interference matrix
At the frequency adjustment solution under 24 different periods.When frequency optimization grade is L4, due to only respectively being acquired in busy and idle time
Basis signal data, correspondingly within one day altogether acquisition have twice basis signal data to get to two interference matrix,
The frequency adjustment solution under two different periods can be generated for two interference matrix.From the frequency tune under multiple and different periods
When selecting a kind of frequency adjustment solution in perfect square case, multiple choices mode can be set, such as cost can be adjusted according to frequency
Minimum principle is chosen and adjusts least scheme to needed frequency optimization cell frequency.
Preferably, day part interference matrix is weighted to obtain integrated interference matrix, for the integrated interference matrix into
The adjustment of row analog frequency, to obtain single-frequency Adjusted Option, which is the frequency tune selected
Perfect square case.Interference matrix in different time periods, which can according to need, specifies different weights, for purposes of clarity, can also be straight
Selecting takes busy interference matrix, directly progress analog frequency adjustment.Those skilled in the art can also formulate according to actual needs
A variety of weighting schemes.
Step 204: carrying out carrying out frequency optimization to frequency optimization cell to each according to the frequency adjustment solution of selection；Institute
The mode for stating frequency optimization includes but is not limited to: adjustment power parameter, adjustment handoff parameter, adjustment frequency parameter, adjustment antenna feeder
Azimuth, adjustment Downtilt, adjustment antenna hang height, adjustment antenna type, base station physical position are adjusted or are mended
New base station of point etc..
Step 205: each cell after frequency optimization being evaluated and tested respectively, and is determined at frequency optimization according to evaluation result
It whether up to standard manages.
It after frequency optimization, needs to acquire basis signal data again, wherein basis signal data include at least antenna system
Census data, cell data and network measurement data.
Wherein, above-mentioned antenna system census data specifically includes: latitude and longitude of base station, base station height, antenna hang high, antenna side
Parallactic angle and the main covering parameter of angle of declination, antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；Cell data includes: to face
Out-of-bounds net cell frequency, repeater and in-door covering data, management object data, network size carrier data；Network measure number
According to including: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.According to frequency optimization
The basis signal data of the different acquisition of grade more periods.In the period of acquired basis signal data and step 201
Period is corresponding consistent, is evaluated and tested with facilitating to frequency optimization effect.
In embodiments of the present invention, above-mentioned to specifically comprise the following steps: according to whether evaluation and test frequency optimization processing is up to standard
Step S1: the index for selection parameter from the basis signal data after frequency optimization；According to the needs of evaluation and test from basis
Required index parameter is chosen in signal data, for example including traffic statistics, adjacent area level measurement data and frequency point scanning
Data etc.；
Step S2: according to different acquisition time sections, index parameter and mesh after calculating separately each period frequency optimization
Mark the difference of index parameter；The difference of each period is weighted processing, obtains comprehensive difference.Due to different time in network
The telephone traffic of section has differences, and there is also differences for different time sections interference source, according to the preferred embodiment of the present invention, this field
Weighted value in different time periods can be respectively set in technical staff, to distinguish the significance level difference for embodying each period.
Illustratively, for the performance that emphasis meets busy system, the corresponding weight of busy difference can accordingly be increased, it is preferable that
Busy difference weight can be set to 1, i.e., only consider whether the index parameter after frequency optimization meets busy demand, and ignored
Idle demand.Step S3: judge whether comprehensive difference is greater than preset threshold；If comprehensive difference is greater than preset threshold, it is determined that
The optimization processing of index parameter is not up to standard, return step 202, regenerates interference according to the basis signal data after frequency optimization
Matrix；If comprehensive difference is less than or equal to preset threshold, it is determined that the optimization processing of index parameter is up to standard, executes step 206.
S1~S3 through the above steps thens follow the steps 206 after determining that the optimization processing of index parameter is up to standard.
Step 206: extracting all Cell Broadcast CB control channel BCCH (Broadcast Control in distance to a declared goal
Channel) and base station identity code BSIC (Base Station Identity Code), the same BSIC of same BCCH is judged whether there is
The case where.BSIC is mainly used for identifying the co-frequency cell BCCH, if occurring with BCCH the case where with BSIC, network or shifting in network
Dynamic platform will lead to random access failure or handover failure due to cannot be distinguished from these cells, this to the connecting performance of network and
Network retention property can all have large effect.After carrying out frequency optimization to cell portion, to avoid these cells and not carrying out
There is with BCCH the case where with BSIC in the region of relative proximity in the cell of frequency optimization, it is therefore desirable to own in distance to a declared goal
The BCCH and BSIC of cell carry out screening.The distance to a declared goal can be selected according to network structure actual conditions, such as
It may be configured as occurring without BCCH with the case where BSIC in 5 kilometers, i.e., five kilometers of radius.
Step 207: if occurring with BCCH the case where with BSIC in distance to a declared goal, identical BSIC is adjusted,
And return step 206, judged again, to avoid occurring the case where new same BCCH is with BSIC after adjustment.
Step 208: if not occurring the case where same BCCH is with BSIC in distance to a declared goal, terminating.
In addition the embodiment of the present invention provides a kind of frequency optimization system, as shown in figure 4, the system comprises:
Frequency optimization grade setup module 401, for frequency optimization grade to be arranged；
Module 402 is chosen to frequency optimization cell, for being arranged accordingly to frequency according to different frequency optimization grades
Optimize cell selected threshold, chooses to frequency optimization cell；
Frequency optimization processing module 403, for carrying out frequency optimization processing to frequency optimization cell to what is selected；
Frequency optimization effect determination module 404, for after frequency optimization, each cell after extracting frequency optimization to refer to
Mark judges whether current frequency optimization achieves the desired results, if current frequency optimization achieves the desired results, by frequency optimization
Report generation module 407 is further processed；
Optimizing cycle expires judgment module 405, for judge current frequency optimization in frequency optimization effect determination module 404
When falling flat, judge whether current optimizing cycle expires；By frequency optimization grade setup module if not expired
401 reset frequency optimization grade according to remaining optimizing cycle and effect of optimization；Restart a wheel frequency optimization；
Optimizing cycle extension judgment module 406, for judging current optimizing cycle in the optimizing cycle judgment module 405 that expires
When expiring, further judge that can optimizing cycle delay；By 401 basis of frequency optimization grade setup module if it can delay
Extended optimizing cycle and the effect of optimization not yet completed reset frequency optimization grade；
Frequency optimization report generation module 407, for after the completion of frequency optimization, no matter whether frequency optimization to reach expected effect
Fruit, all report of generation frequency optimization.
As shown in figure 5, the frequency optimization processing module 403 further comprises:
Data acquisition module 501, for acquiring the basis signal data to frequency optimization cell, wherein basis signal number
According to including at least antenna system census data, cell data and network measurement data；
Interference matrix generation module 502 generates interference matrix according to basis signal data collected.The interference matrix
Multiple interference matrix can be generated according to different time sections basis signal data collected, it is excellent to frequency in network to reflect comprehensively
The case where changing cell day part；
Analog frequency adjustment and frequency scheme selecting module 503, for being directed to the interference matrix of multiple and different periods, to each
It is a to carry out analog frequency adjustment respectively to frequency optimization cell, so that the frequency adjustment solution under multiple and different periods is obtained, and
A kind of frequency adjustment solution is selected from the frequency adjustment solution under multiple and different periods；
Frequency optimization module 504, for according to the frequency adjustment solution of selection to it is each carry out to frequency optimization cell into
Line frequency optimization；
Evaluation and test module 505 evaluates and tests each cell after frequency optimization respectively, and determines that frequency is excellent according to evaluation result
Whether change processing is up to standard；
With BBCH with BSIC determining module 506, for extracting all Cell Broadcast CB control channel BCCH in distance to a declared goal
(Broadcast Control Channel) and base station identity code BSIC (Base Station Identity Code), judgement
The case where with the presence or absence of same BCCH with BSIC；
BSIC adjusts module 507, for determining exist with BCCH with the feelings of BSIC with BSIC determining module 506 in same BBCH
Under condition, then identical BSIC is adjusted.
In one embodiment of the invention, as shown in fig. 6, above-mentioned evaluation and test module 505 can specifically include:
Extraction unit 601, for the index for selection parameter from the basis signal data after frequency optimization；According to the need of evaluation and test
Required index parameter is chosen from basis signal data；
Computing unit 602, for the index according to different acquisition time sections, after calculating separately each period frequency optimization
The difference of parameter and target indicator parameter；The difference of each period is weighted processing, obtains comprehensive difference；
First determination unit 603: for determining at the optimization of index parameter when comprehensive difference is less than or equal to preset threshold
It manages up to standard；
Second determination unit 604: for determining that the optimization processing of index parameter is reached when comprehensive difference is greater than preset threshold
Mark.
In one embodiment of the invention, above-mentioned evaluation and test module 503 can further comprise:
Frequency adjustment solution weights generation module 5031, for being weighted day part interference matrix to obtain integrated interference
Matrix carries out analog frequency adjustment for the integrated interference matrix, to obtain single-frequency Adjusted Option.
In embodiments of the present invention, above-mentioned basis signal data include: latitude and longitude of base station, base station height, antenna extension height, day
Line azimuth and the main covering parameter of angle of declination, antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；Cell data packet
It includes: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data；Network is surveyed
Amount data include: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
Frequency optimization method provided in an embodiment of the present invention and system, by acquiring the basis signal to frequency optimization cell
Data generate multiple interference matrix according to different time sections basis signal data collected；For doing for multiple and different periods
Matrix is disturbed, analog frequency adjustment is carried out respectively to frequency optimization cell to each, to obtain the frequency under multiple and different periods
Adjusted Option；A kind of frequency adjustment solution is selected from the frequency adjustment solution under multiple and different periods；According to the frequency of selection
Adjusted Option carries out carrying out frequency optimization to frequency optimization cell to each；Each cell after frequency optimization is commented respectively
It surveys, and determines whether frequency optimization processing is up to standard according to evaluation result；Extract all Cell Broadcast CB control channels in distance to a declared goal
BCCH (Broadcast Control Channel) and base station identity code BSIC (Base Station Identity Code),
Avoid the presence of with BCCH the case where with BSIC.The frequency optimization method and system can effectively promote the signal matter of mobile network
Amount.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so describing fairly simple, related place is referring to embodiment of the method
Part explanation.System embodiment described above is only schematical, wherein described be used as separate part description
Module or unit may or may not be physically separated, component shown as a unit can be or can also
Not to be physical unit, it can it is in one place, or may be distributed on multiple units.It can be according to actual need
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying
Out in the case where creative work, it can understand and implement.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of frequency optimization method characterized by comprising
Step 101: setting frequency optimization grade；The setting of frequency optimization grade depends on the optimization effect of current frequency optimization project
Fruit and optimizing cycle；Wherein optimizing cycle refers to the current optimization project estimated time completed；Before effect of optimization refers to optimization
The improvement degree of evaluation metrics afterwards；
Step 102: choosing to frequency optimization cell；
Step 103: frequency optimization processing carries out frequency optimization processing to frequency optimization cell for what is selected；
Step 104: whether determination frequency optimization achieves the desired results；If it is, thinking that current frequency optimization reaches expected effect
Fruit terminates current frequency optimization, enters step 107；If it is not, then entering step 105；
Step 105: judging whether current optimizing cycle expires, return step 101 if not expired, according to remaining optimizing cycle
And effect of optimization resets frequency optimization grade；Restart a wheel frequency optimization；If expired, step 106 is gone to；
Step 106: further judging that can optimizing cycle delay, if it is possible to the then further return step 101 of delaying, according to prolonging
Long optimizing cycle and the effect of optimization not yet completed reset frequency optimization grade；
Step 107: generating frequency optimization report；
The frequency optimization processing further comprises following steps:
Step 201: according to the basis signal data to frequency optimization cell of the different acquisition of frequency optimization grade more periods,
Wherein, basis signal data include at least antenna system census data, cell data and network measurement data；
Step 202: generating interference matrix according to basis signal data collected；
Step 203: for the interference matrix of multiple and different periods, carrying out analog frequency tune respectively to frequency optimization cell to each
It is whole, to obtain the frequency adjustment solution under multiple and different periods；It is selected from the frequency adjustment solution under multiple and different periods
A kind of frequency adjustment solution；
Step 204: carrying out carrying out frequency optimization to frequency optimization cell to each according to the frequency adjustment solution of selection；
Step 205: each cell after frequency optimization being evaluated and tested respectively, and determines that frequency optimization processing is according to evaluation result
It is no up to standard；
Step 206: extracting all Cell Broadcast CB control channel BCCH (Broadcast Control Channel) in distance to a declared goal
And base station identity code BSIC (Base Station Identity Code), judge whether there is the case where same BCCH is with BSIC；
Step 207: if occurring with BCCH the case where with BSIC in distance to a declared goal, identical BSIC being adjusted, and returns
Step 206 is returned, is judged again, to avoid occurring the case where new same BCCH is with BSIC after adjustment；
Step 208: if not occurring the case where same BCCH is with BSIC in distance to a declared goal, terminating.
2. frequency optimization method according to claim 1, it is characterised in that described whether to be reached according to evaluation and test frequency optimization processing
Mark specifically comprises the following steps:
Step S1: the index for selection parameter from the basis signal data after frequency optimization；According to the needs of evaluation and test from basis signal
Required index parameter is chosen in data；
Step S2: according to different acquisition time sections, the index parameter after calculating separately each period frequency optimization refers to target
Mark the difference of parameter；The difference of each period is weighted processing, obtains comprehensive difference；
Step S3: judge whether comprehensive difference is greater than preset threshold；If comprehensive difference is greater than preset threshold, it is determined that index ginseng
Several optimization processings is not up to standard, return step 202, regenerates interference matrix according to the basis signal data after frequency optimization；
If comprehensive difference is less than or equal to preset threshold, it is determined that the optimization processing of index parameter is up to standard, executes step 206.
3. frequency optimization method according to claim 1 to 2, frequency adjustment solution in the step 203 by with
Under type obtains:
Day part interference matrix is weighted to obtain integrated interference matrix, carries out analog frequency tune for the integrated interference matrix
It is whole, to obtain single-frequency Adjusted Option.
4. frequency optimization method according to claim 3, it is characterised in that:
The antenna system census data include: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination,
The main covering parameter of antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；
The cell data includes: critical outer net cell frequency, repeater and in-door covering data, management object data, network
Scale carrier data；
The network measurement data includes: frequency sweep, drive test data, and traffic statistics, adjacent area level measurement data and frequency point are swept
Retouch data.
5. a kind of frequency optimization system, it is characterised in that:
Frequency optimization grade setup module 401, for frequency optimization grade to be arranged；The setting of frequency optimization grade depends on current
The effect of optimization and optimizing cycle of frequency optimization project；Wherein optimizing cycle refer to current optimization project it is estimated complete when
Between；Effect of optimization refers to the improvement degree of optimization front and back evaluation metrics；
Module 402 is chosen to frequency optimization cell, for being arranged accordingly to frequency optimization according to different frequency optimization grades
Cell selected threshold is chosen to frequency optimization cell；
Frequency optimization processing module 403, for carrying out frequency optimization processing to frequency optimization cell to what is selected；
Frequency optimization effect determination module 404, for after frequency optimization, each cell index after extracting frequency optimization to be sentenced
Whether disconnected current frequency optimization achieves the desired results, if current frequency optimization achieves the desired results, is reported by frequency optimization
Generation module 407 is further processed；
Optimizing cycle expires judgment module 405, for judging that current frequency optimization does not reach in frequency optimization effect determination module 404
When to desired effect, judge whether current optimizing cycle expires；By frequency optimization grade setup module 401 if not expired
Frequency optimization grade is reset according to remaining optimizing cycle and effect of optimization；Restart a wheel frequency optimization；
Optimizing cycle extension judgment module 406, for optimizing cycle expire judgment module 405 judge current optimizing cycle expire
When, further judge that can optimizing cycle delay；By frequency optimization grade setup module 401 according to extension if it can delay
Optimizing cycle and the effect of optimization not yet completed reset frequency optimization grade；
Frequency optimization report generation module 407 is used for after the completion of frequency optimization, and no matter whether frequency optimization achieves the desired results,
All generate frequency optimization report；
Frequency optimization processing module 403 includes:
Data acquisition module 501, for different acquisition more periods according to frequency optimization grade to frequency optimization cell
Basis signal data, wherein basis signal data include at least antenna system census data, cell data and network measure number
According to；
Interference matrix generation module 502 generates interference matrix according to basis signal data collected, and the interference matrix can root
Multiple interference matrix are generated according to different time sections basis signal data collected, it is small to frequency optimization in network to reflect comprehensively
The case where area's day part；
Analog frequency adjustment and frequency scheme selecting module 503, for be directed to multiple and different periods interference matrix, to it is each to
Frequency optimization cell carries out analog frequency adjustment respectively, to obtain the frequency adjustment solution under multiple and different periods, and from more
A kind of frequency adjustment solution is selected in frequency adjustment solution under a different periods；
Frequency optimization module 504, for carrying out carrying out frequency to frequency optimization cell to each according to the frequency adjustment solution of selection
Rate optimization；
Evaluation and test module 505 is evaluated and tested each cell after frequency optimization respectively, and is determined at frequency optimization according to evaluation result
It whether up to standard manages；
With BBCH with BSIC determining module 506, for extracting all Cell Broadcast CB control channel BCCH in distance to a declared goal
(Broadcast Control Channel) and base station identity code BSIC (Base Station Identity Code), judgement
The case where with the presence or absence of same BCCH with BSIC；
BSIC adjusts module 507, for determining there is with BCCH the case where with BSIC with BSIC determining module 506 in same BBCH
Under, then identical BSIC is adjusted.
6. frequency optimization system according to claim 5, it is characterised in that above-mentioned evaluation and test module 505 can specifically include:
Extraction unit 601, for the index for selection parameter from the basis signal data after frequency optimization；According to the needs of evaluation and test from
Required index parameter is chosen in basis signal data；
Computing unit 602, for the index parameter according to different acquisition time sections, after calculating separately each period frequency optimization
With the difference of target indicator parameter；The difference of each period is weighted processing, obtains comprehensive difference；
First determination unit 603: for determining that the optimization processing of index parameter is reached when comprehensive difference is less than or equal to preset threshold
Mark；
Second determination unit 604: for determining that the optimization processing of index parameter is up to standard when comprehensive difference is greater than preset threshold.
7. according to any frequency optimization system of claim 5-6, it is characterised in that above-mentioned evaluation and test module 503 can be wrapped further
It includes:
Frequency adjustment solution weights generation module 5031, obtains integrated interference square for day part interference matrix to be weighted
Battle array carries out analog frequency adjustment for the integrated interference matrix, to obtain single-frequency Adjusted Option.
8. frequency optimization system according to claim 7, it is characterised in that:
The antenna system census data include: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination,
The main covering parameter of antenna electrical characteristics, antenna, ambient enviroment electronic pictures information；
The cell data includes: critical outer net cell frequency, repeater and in-door covering data, management object data, network
Scale carrier data；
The network measurement data includes: frequency sweep, drive test data, and traffic statistics, adjacent area level measurement data and frequency point are swept
Retouch data.
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| CN102970696A (en) * | 2012-12-14 | 2013-03-13 | 上海大唐移动通信设备有限公司 | Frequency optimization method for communication system |
| CN103108343A (en) * | 2011-11-15 | 2013-05-15 | 中国移动通信集团设计院有限公司 | Method and device of building decision-making tree and method and device of network performance optimization |
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| CN102970696A (en) * | 2012-12-14 | 2013-03-13 | 上海大唐移动通信设备有限公司 | Frequency optimization method for communication system |
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