CN105120478A - Frequency optimization method and frequency optimization system - Google Patents
Frequency optimization method and frequency optimization system Download PDFInfo
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- CN105120478A CN105120478A CN201510430924.XA CN201510430924A CN105120478A CN 105120478 A CN105120478 A CN 105120478A CN 201510430924 A CN201510430924 A CN 201510430924A CN 105120478 A CN105120478 A CN 105120478A
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Abstract
The invention discloses a frequency optimization method and a frequency optimization system. The method comprises the steps of setting frequency optimization levels, selecting a cell to be frequency-optimized, optimizing the frequency of the selected cell to be frequency-optimized, judging whether the frequency optimization achieves a desired effect, judging whether the current optimization cycle expires, further judging whether the optimization cycle can be extended, and generating a frequency optimization report. By adopting the frequency optimization method and the frequency optimization system, the signal quality of a mobile network can be effectively improved.
Description
Technical field
The present invention relates to networking technology area, particularly a kind of frequency optimization method and system.
Background technology
Along with the continuous growth of userbase, diversified problem has been there is in mobile network's running, such as: traffic density is uneven, frequency resource is nervous, network configuration is not good, these factors seriously govern the raising of mobile network signals quality, make the development of mobile network be difficult to meet the actual user demand of user.
In prior art, based on the restriction of technical development, the lifting of mobile network signals quality is realized often through single lifting network configuration.Lifting due to network configuration needs a large amount of man power and materials to drop into, project scale is great, the project implementation cycle is longer, and after input actual motion, later stage operation, maintenance, update etc. all need to spend larger energy, thus cause its enforcement to be subject to larger restriction, the lifting of whole mobile network signals quality is had little effect.
Summary of the invention
Embodiments provide a kind of frequency optimization method and system, process can be optimized to the frequency of mobile network, thus the signal quality of effective lifting mobile network.
The technical scheme that the embodiment of the present invention provides is as follows:
On the one hand, provide a kind of frequency optimization method, comprising:
Step 101: frequency optimization grade is set;
Step 102: choose and treat frequency optimization community;
For what select, step 103: frequency optimization process, treats that frequency optimization process is carried out in frequency optimization community;
Step 104: whether determination frequency optimization produces a desired effect; If so, then think that ongoing frequency optimization produces a desired effect, terminate ongoing frequency optimization, enter step 107; If not, then step 105 is entered;
Step 105: judge whether current optimization cycle expires, if do not expired, returns step 101, resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization; If expired, then go to step 106;
Step 106: judge that can optimization cycle delay further, if can delay, return step 101 further, resets frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed;
Step 107: generated frequency optimization is reported.
Preferably, described frequency optimization process comprises the steps: further
Step 201: gather the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data;
Step 202: according to gathered basis signal data genaration interference matrix, the multiple interference matrix of basis signal data genaration that described interference matrix can gather according to different time sections;
To each, step 203: for the interference matrix of multiple Different periods, treats that analog frequency adjustment is carried out respectively in frequency optimization community, thus obtains the frequency adjustment solution under multiple Different periods; A kind of frequency adjustment solution is selected from the frequency adjustment solution multiple Different periods;
Step 204: each is treated that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen;
Step 205: frequency optimization Hou Ge community is evaluated and tested respectively, and whether up to standard according to the process of evaluation result determination frequency optimization;
Step 206: extract all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judges whether to exist with the situation of BCCH with BSIC;
Step 207: if occurred with the situation of BCCH with BSIC in distance to a declared goal, then identical BSIC is adjusted, and return step 206, again judge, to avoid adjusting the situation of the new same BCCH of rear appearance with BSIC;
Step 208: if there is not the situation of same BCCH with BSIC in distance to a declared goal, then terminate.
It is preferably, described that according to evaluating and testing, whether frequency optimization process is up to standard specifically comprises the steps:
Step S1: index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data;
Step S2: according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference;
Step S3: judge whether comprehensive difference is greater than predetermined threshold value; If comprehensive difference is greater than predetermined threshold value, then the optimization process of agriculture products parameter is not up to standard, returns step 202, regenerates interference matrix according to the basis signal data after frequency optimization; If comprehensive difference is less than or equal to predetermined threshold value, then the optimization process of agriculture products parameter is up to standard, performs step 206.
Preferably, the frequency adjustment solution in described step 203 obtains in the following manner:
Day part interference matrix is weighted and obtains integrated interference matrix, carry out analog frequency adjustment for this integrated interference matrix, thus obtain single-frequency Adjusted Option.
Preferably, described antenna system census data comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information;
Described cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data;
Described network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
On the other hand, provide a kind of frequency optimization system, comprising:
Frequency optimization grade arranges module 401, for arranging frequency optimization grade;
Treat that module 402 is chosen in frequency optimization community, for according to different frequency optimization grades, arrange and treat frequency optimization community selected threshold accordingly, choose and treat frequency optimization community;
To what select, frequency optimization processing module 403, for treating that frequency optimization process is carried out in frequency optimization community;
Frequency optimization effect determination module 404, for after frequency optimization terminates, extract frequency optimization Hou Ge community index and judge whether ongoing frequency optimization produces a desired effect, if ongoing frequency optimization produces a desired effect, then processed further by frequency optimization report generation module 407;
Optimization cycle expires judge module 405, for when frequency optimization effect determination module 404 judges that ongoing frequency optimization falls flat, judge whether current optimization cycle expires; If do not expired, module 401 is set by frequency optimization grade and resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization;
Optimization cycle extension judge module 406, when judging that current optimization cycle expires for the judge module 405 that expires at optimization cycle, judges that can optimization cycle delay further; If can delay, module 401 is set by frequency optimization grade and resets frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed;
Frequency optimization report generation module 407, after completing for frequency optimization, no matter whether frequency optimization produces a desired effect, all generated frequency optimization reports.
Preferably, described frequency optimization processing module 403 comprises:
Data acquisition module 501, for gathering the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data;
Interference matrix generation module 502, according to gathered basis signal data genaration interference matrix.The multiple interference matrix of basis signal data genaration that described interference matrix can gather according to different time sections, to reflect in network the situation treating frequency optimization community day part comprehensively;
Analog frequency adjustment and frequency scheme select module 503, for the interference matrix for multiple Different periods, each is treated that analog frequency adjustment is carried out respectively in frequency optimization community, thus the frequency adjustment solution obtained under multiple Different periods, and select a kind of frequency adjustment solution from the frequency adjustment solution multiple Different periods;
To each, frequency optimization module 504, for treating that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen;
Whether evaluation and test module 505, evaluates and tests respectively to frequency optimization Hou Ge community, and up to standard according to the process of evaluation result determination frequency optimization;
With BBCH with BSIC determination module 506, for extracting all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judge whether to exist with the situation of BCCH with BSIC;
BSIC adjusting module 507, for when same BBCH with BSIC determination module 506 determine exist with BCCH with BSIC, then identical BSIC is adjusted.
Preferably, above-mentioned evaluation and test module 505 specifically can comprise:
Extraction unit 601, for index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data;
Computing unit 602, for according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference;
First determining unit 603: for when comprehensive difference is less than or equal to predetermined threshold value, the optimization process of agriculture products parameter is up to standard;
Second determining unit 604: for when comprehensive difference is greater than predetermined threshold value, the optimization process of agriculture products parameter is up to standard.
Preferably, above-mentioned evaluation and test module 503 can comprise further:
Frequency adjustment solution weighting generation module 5031, obtains integrated interference matrix for being weighted by day part interference matrix, carries out analog frequency adjustment, thus obtain single-frequency Adjusted Option for this integrated interference matrix.
Preferably, described antenna system census data comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information;
Described cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data;
Described network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
The frequency optimization method that the embodiment of the present invention provides and system, by arranging frequency optimization grade; Choose and treat frequency optimization community; Treat that frequency optimization process is carried out in frequency optimization community for what select; Whether determination frequency optimization produces a desired effect; Judge whether current optimization cycle expires; Can further judgement optimization cycle delay; Generated frequency optimization is reported.This frequency optimization method and system, can the signal quality of effective lifting mobile network.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the present invention, for those of ordinary skill in the art, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart of a kind of frequency optimization method that the embodiment of the present invention provides;
Fig. 2 is the flow chart of a kind of frequency optimization method that another embodiment of the present invention provides;
Fig. 3 is the flow chart of a kind of frequency optimization method that another embodiment of the present invention provides;
Fig. 4 is the structural representation of a kind of frequency optimization system that another embodiment of the present invention provides;
Fig. 5 is the structural representation of a kind of frequency optimization system that another embodiment of the present invention provides;
Fig. 6 is the structural representation of a kind of frequency optimization system that another embodiment of the present invention provides;
Embodiment
In order to the scheme making those skilled in the art person understand the embodiment of the present invention better, below in conjunction with drawings and embodiments, the embodiment of the present invention is described in further detail.
As shown in Figure 1, be a kind of frequency optimization method that the embodiment of the present invention provides, comprise:
Step 101: frequency optimization grade is set.The setting of frequency optimization grade depends on that ongoing frequency optimizes effect of optimization and the optimization cycle of project.When the long corresponding frequency optimization the highest grade of the high and optimization cycle of effect of optimization, effect of optimization is low and the short then corresponding frequency optimization grade of optimization cycle is minimum.Wherein optimization cycle refers to the time that current optimization project has been estimated, take the moon as digit usually, can be also digit day.The improvement degree of evaluation metrics before and after effect of optimization refers to and optimizes, those skilled in the art can choose evaluation metrics according to demand, do not repeat them here.The total number of grades of frequency optimization grade can be arranged according to the actual requirements flexibly, exemplaryly in present embodiment is set to common Pyatyi, and wherein L1 is the highest, and L5 is minimum.As shown in table 1, effect of optimization > 90%, optimization cycle > 3 months and < 4 months time, corresponding frequency optimization grade is grade L1, effect of optimization > 90%, optimization cycle < 3 months and > 2 months time, corresponding frequency optimization grade is grade L2, effect of optimization < 90% and > 80% time, if optimization cycle > 2 months and < 3 months time, corresponding frequency optimization grade is grade L3, effect of optimization < 90% and > 80% time, during optimization cycle < 2 months, corresponding frequency optimization grade is grade L4, during other situations, corresponding frequency optimization grade is grade L5.
| Frequency optimization grade | Effect of optimization | Optimization cycle |
| L1 | ＞90％ | < 4 months & > 3 months |
| L2 | ＞90％ | < 3 months & > 2 months |
| L3 | ＜90％&＞80％ | < 3 months & > 2 months |
| L4 | ＜90％&＞80％ | < 2 months |
| L5 | Other | Other |
Table 1
Step 102: choose and treat frequency optimization community.Treat that frequency optimization community refers to that frequency has community to be optimized, can gather the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data.Described antenna system census data, such as latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna type (comprising the electrical characteristic of antenna), the main covering of antenna in cell, surrounding environment electronic photographs etc.; Described cell data is critical outer net cell frequency, repeater and in-door covering, MO data statistics, network size carrier number such as; Described network data, such as busy period frequency sweep, drive test data, traffic measurement, the frequently measurement of adjacent area electricity, frequency point scanning, wireless signal measurement report MR, customer complaint record, network problem point gather.According to different frequency optimization grades, arrange and treat frequency optimization community selected threshold accordingly, frequency optimization higher grade, and corresponding selected threshold is lower, namely means that more community will be chosen for and treats frequency optimization community.Otherwise when frequency optimization lower grade, corresponding selected threshold is higher, namely means that less community will be chosen for and treats frequency optimization community.
Step 103: frequency optimization process.Treat that frequency optimization process is carried out in frequency optimization community for what select.
Step 104: whether determination frequency optimization produces a desired effect.After frequency optimization terminates, extract frequency optimization Hou Ge community index to judge, according to a preferred embodiment of the present invention, take and choose the mode treating that frequency optimization community is identical, according to such as latitude and longitude of base station, base station height, antenna is hung high, antenna azimuth and angle of declination, antenna type (comprising the electrical characteristic of antenna), the main covering of antenna in cell, the antenna system census data of surrounding environment electronic photographs etc., and such as critical outer net cell frequency, repeater and in-door covering, MO data statistics, the cell data of network size carrier number, such as busy period frequency sweep, drive test data, traffic measurement, adjacent area electricity is measured frequently, frequency point scanning, wireless signal measurement report MR, customer complaint record, the various ways such as the network data that network problem point gathers etc. are again chosen and are treated frequency optimization community.Whether the ratio treating frequency optimization number of cells treated frequency optimization number of cells and choose before implementing frequency optimization again chosen after judging to implement frequency optimization is less than (effect of optimization corresponding to frequency optimization grade that 1-is arranged), if, then think that ongoing frequency optimization produces a desired effect, terminate ongoing frequency optimization, enter step 107; If not, then step 105 is entered.According to a preferred embodiment of the present invention, if the frequency optimization grade arranged is L1, corresponding effect of optimization > 90%, optimization cycle > 3 months and < 4 months time, implement again to choose after frequency optimization treat frequency optimization number of cells and implement frequency optimization before choose treat that the ratio of frequency optimization number of cells is less than 10%, then think that this frequency optimization produces a desired effect.If again choose after enforcement frequency optimization treat frequency optimization number of cells with implement to choose before frequency optimization treat that the ratio of frequency optimization number of cells is greater than 10%, then think that this frequency optimization falls flat.According to a preferred embodiment of the present invention, if that chooses before enforcement frequency optimization treats that frequency optimization number of cells is 100, that again chooses after implementing frequency optimization treats that frequency optimization number of cells is 8, both ratio is 8%, be less than (1-90%), namely be less than 10%, then can think that this frequency optimization produces a desired effect.
Step 105: judge whether current optimization cycle expires, if do not expired, returns step 101, resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization.If expired, then go to step 106.According to a preferred embodiment of the present invention, if the frequency optimization grade arranged is L1, corresponding optimization cycle > 3 months and < 4 months, now optimization cycle is still less than 4 months, then return step 101 further, reset frequency optimization grade according to remaining optimization cycle and the effect of optimization that not yet completes, exemplarily, now can setpoint frequency to optimize grade be L5.
Step 106: judge that can optimization cycle delay further, if can delay, return step 101 further, resetting frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed, exemplarily, can setpoint frequency optimization grade be now L5.If can not delay, then enter step 107.
Step 107: generated frequency optimization is reported.After frequency optimization completes, no matter whether effect of optimization completes, all generated frequency optimization reports.Comprise the original wireless parameter of each community in described frequency optimization report, optimize rear wireless parameter, optimize front and back KPI index contrast etc.
As shown in Figure 2, described frequency optimization process comprises further:
Step 201: gather the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data.
Wherein, above-mentioned antenna system census data specifically comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information; Cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data; Network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.According to the basis signal data of the different acquisition of frequency optimization grade many time periods.Exemplarily, when frequency optimization grade is L1, collection per hour basis signal data; And when frequency optimization grade is L4, only respectively gather basis signal data in busy and idle time, wherein busy and choosing of idle are chosen according to telephone traffic or network congestion by those skilled in the art.
Step 202: generate interference matrix.According to gathered basis signal data genaration interference matrix.The multiple interference matrix of basis signal data genaration that described interference matrix can gather according to different time sections, to reflect in network the situation treating frequency optimization community day part comprehensively.
To each, step 203: for the interference matrix of multiple Different periods, treats that analog frequency adjustment is carried out respectively in frequency optimization community, thus obtains the frequency adjustment solution under multiple Different periods; A kind of frequency adjustment solution is selected from the frequency adjustment solution multiple Different periods.
Exemplarily, when frequency optimization grade is L1, namely gather basis signal data due to per hour, correspondingly within one day, collection has 24 basis signal data altogether, namely obtain 24 interference matrix, the frequency adjustment solution under 24 Different periods can be generated for 24 interference matrix.When frequency optimization grade is L4, owing to only respectively gathering basis signal data in busy and idle time, correspondingly within one day, collection has twice basis signal data altogether, namely obtains two interference matrix, can generate the frequency adjustment solution under two Different periods for two interference matrix.When selecting a kind of frequency adjustment solution from the frequency adjustment solution multiple Different periods, multiple choices mode can be set, such as, can adjust Least-cost principle according to frequency, namely choose and minimum scheme is adjusted to needed frequency optimization cell frequency.
Preferably, be weighted by day part interference matrix and obtain integrated interference matrix, carry out analog frequency adjustment, thus obtain single-frequency Adjusted Option for this integrated interference matrix, this single-frequency Adjusted Option is the frequency adjustment solution selected.The interference matrix of different time sections can specify different weights as required, for the object simplified, can also directly choose busy interference matrix, directly carry out analog frequency adjustment.Those skilled in the art according to actual needs, can also formulate multiple weighting scheme.
Step 204: each is treated that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen; The mode of described frequency optimization includes but not limited to: Modulating Power parameter, adjust handoff parameter, high, adjustment antenna type hung by parameter of adjusting frequency, adjustment antenna feeder azimuth, adjustment Downtilt, adjustment antenna, adjust or mend a little new base station etc. to base station physical position.
Step 205: frequency optimization Hou Ge community is evaluated and tested respectively, and whether up to standard according to the process of evaluation result determination frequency optimization.
After frequency optimization, need again to gather basis signal data, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data.
Wherein, above-mentioned antenna system census data specifically comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information; Cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data; Network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.According to the basis signal data of the different acquisition of frequency optimization grade many time periods.To gather time period of basis signal data corresponding consistent with the time period in step 201, to facilitate, frequency optimization effect is evaluated and tested.
It is in embodiments of the present invention, above-mentioned that according to evaluating and testing, whether frequency optimization process is up to standard specifically comprises the steps:
Step S1: index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data, such as, comprise traffic statistics, adjacent area level measurement data and frequency point scanning data etc.;
Step S2: according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference.Because in network, the telephone traffic of different time sections there are differences, different time sections interference source also there are differences, according to the preferred embodiment of the present invention, those skilled in the art can arrange the weighted value of different time sections respectively, thus it is different to distinguish the significance level embodying each time period.Exemplarily, in order to emphasis meets the performance of busy system, can the corresponding increasing by weight corresponding for busy difference, preferably, busy difference weights can be set to 1, whether the index parameter after namely only considering frequency optimization meets busy demand, and ignores idle demand.Step S3: judge whether comprehensive difference is greater than predetermined threshold value; If comprehensive difference is greater than predetermined threshold value, then the optimization process of agriculture products parameter is not up to standard, returns step 202, regenerates interference matrix according to the basis signal data after frequency optimization; If comprehensive difference is less than or equal to predetermined threshold value, then the optimization process of agriculture products parameter is up to standard, performs step 206.
By above-mentioned steps S1 ~ S3, after the optimization process of agriculture products parameter is up to standard, then perform step 206.
Step 206: extract all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judges whether to exist with the situation of BCCH with BSIC.BSIC is mainly used in identifying BCCH co-frequency cell, if there is the situation of same BCCH with BSIC in network, network or travelling carriage will cause random access failure or handoff failure owing to cannot distinguish these communities, and this all can have larger impact to continue performance and the network retention of network.After carrying out frequency optimization to cell portion, for avoiding these communities to occur with the situation of BCCH with BSIC with the community of not carrying out frequency optimization in the region of relative proximity, therefore need to carry out examination to BCCH and BSIC of communities all in distance to a declared goal.Described distance to a declared goal can be selected according to network configuration actual conditions, such as, can be set to 5 kilometers, namely occurs with the situation of BSIC without BCCH in radius five kilometers.
Step 207: if occurred with the situation of BCCH with BSIC in distance to a declared goal, then identical BSIC is adjusted, and return step 206, again judge, to avoid adjusting the situation of the new same BCCH of rear appearance with BSIC.
Step 208: if there is not the situation of same BCCH with BSIC in distance to a declared goal, then terminate.
The embodiment of the present invention provides a kind of frequency optimization system in addition, and as shown in Figure 4, described system comprises:
Frequency optimization grade arranges module 401, for arranging frequency optimization grade;
Treat that module 402 is chosen in frequency optimization community, for according to different frequency optimization grades, arrange and treat frequency optimization community selected threshold accordingly, choose and treat frequency optimization community;
To what select, frequency optimization processing module 403, for treating that frequency optimization process is carried out in frequency optimization community;
Frequency optimization effect determination module 404, for after frequency optimization terminates, extract frequency optimization Hou Ge community index and judge whether ongoing frequency optimization produces a desired effect, if ongoing frequency optimization produces a desired effect, then processed further by frequency optimization report generation module 407;
Optimization cycle expires judge module 405, for when frequency optimization effect determination module 404 judges that ongoing frequency optimization falls flat, judge whether current optimization cycle expires; If do not expired, module 401 is set by frequency optimization grade and resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization;
Optimization cycle extension judge module 406, when judging that current optimization cycle expires for the judge module 405 that expires at optimization cycle, judges that can optimization cycle delay further; If can delay, module 401 is set by frequency optimization grade and resets frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed;
Frequency optimization report generation module 407, after completing for frequency optimization, no matter whether frequency optimization produces a desired effect, all generated frequency optimization reports.
As shown in Figure 5, described frequency optimization processing module 403 comprises further:
Data acquisition module 501, for gathering the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data;
Interference matrix generation module 502, according to gathered basis signal data genaration interference matrix.The multiple interference matrix of basis signal data genaration that described interference matrix can gather according to different time sections, to reflect in network the situation treating frequency optimization community day part comprehensively;
Analog frequency adjustment and frequency scheme select module 503, for the interference matrix for multiple Different periods, each is treated that analog frequency adjustment is carried out respectively in frequency optimization community, thus the frequency adjustment solution obtained under multiple Different periods, and select a kind of frequency adjustment solution from the frequency adjustment solution multiple Different periods;
To each, frequency optimization module 504, for treating that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen;
Whether evaluation and test module 505, evaluates and tests respectively to frequency optimization Hou Ge community, and up to standard according to the process of evaluation result determination frequency optimization;
With BBCH with BSIC determination module 506, for extracting all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judge whether to exist with the situation of BCCH with BSIC;
BSIC adjusting module 507, for when same BBCH with BSIC determination module 506 determine exist with BCCH with BSIC, then identical BSIC is adjusted.
In one embodiment of the invention, as shown in Figure 6, above-mentioned evaluation and test module 505 specifically can comprise:
Extraction unit 601, for index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data;
Computing unit 602, for according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference;
First determining unit 603: for when comprehensive difference is less than or equal to predetermined threshold value, the optimization process of agriculture products parameter is up to standard;
Second determining unit 604: for when comprehensive difference is greater than predetermined threshold value, the optimization process of agriculture products parameter is up to standard.
In one embodiment of the invention, above-mentioned evaluation and test module 503 can comprise further:
Frequency adjustment solution weighting generation module 5031, obtains integrated interference matrix for being weighted by day part interference matrix, carries out analog frequency adjustment, thus obtain single-frequency Adjusted Option for this integrated interference matrix.
In embodiments of the present invention, above-mentioned basis signal data comprise: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information; Cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data; Network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
The frequency optimization method that the embodiment of the present invention provides and system, by gathering the basis signal data treating frequency optimization community, according to the multiple interference matrix of basis signal data genaration that different time sections gathers; For the interference matrix of multiple Different periods, each is treated that analog frequency adjustment is carried out respectively in frequency optimization community, thus obtains the frequency adjustment solution under multiple Different periods; A kind of frequency adjustment solution is selected from the frequency adjustment solution multiple Different periods; According to the frequency adjustment solution chosen, each is treated that frequency optimization is carried out in frequency optimization community; Frequency optimization Hou Ge community is evaluated and tested respectively, and whether up to standard according to the process of evaluation result determination frequency optimization; Extract all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, avoid existence with the situation of BCCH with BSIC.This frequency optimization method and system, can the signal quality of effective lifting mobile network.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.System embodiment described above is only schematic, the wherein said module that illustrates as separating component or unit or can may not be and physically separate, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed on multiple unit.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a frequency optimization method, is characterized in that, comprising:
Step 101: frequency optimization grade is set;
Step 102: choose and treat frequency optimization community;
For what select, step 103: frequency optimization process, treats that frequency optimization process is carried out in frequency optimization community;
Step 104: whether determination frequency optimization produces a desired effect; If so, then think that ongoing frequency optimization produces a desired effect, terminate ongoing frequency optimization, enter step 107; If not, then step 105 is entered;
Step 105: judge whether current optimization cycle expires, if do not expired, returns step 101, resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization; If expired, then go to step 106;
Step 106: judge that can optimization cycle delay further, if can delay, return step 101 further, resets frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed:
Step 107: generated frequency optimization is reported.
2. frequency optimization method according to claim 1, is characterized in that described frequency optimization process comprises the steps: further
Step 201: gather the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data;
Step 202: according to gathered basis signal data genaration interference matrix;
To each, step 203: for the interference matrix of multiple Different periods, treats that analog frequency adjustment is carried out respectively in frequency optimization community, thus obtains the frequency adjustment solution under multiple Different periods; A kind of frequency adjustment solution is selected from the frequency adjustment solution multiple Different periods;
Step 204: each is treated that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen;
Step 205: frequency optimization Hou Ge community is evaluated and tested respectively, and whether up to standard according to the process of evaluation result determination frequency optimization;
Step 206: extract all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judges whether to exist with the situation of BCCH with BSIC;
Step 207: if occurred with the situation of BCCH with BSIC in distance to a declared goal, then identical BSIC is adjusted, and return step 206, again judge, to avoid adjusting the situation of the new same BCCH of rear appearance with BSIC;
Step 208: if there is not the situation of same BCCH with BSIC in distance to a declared goal, then terminate.
3. frequency optimization method according to claim 2, is characterized in that describedly specifically comprising the steps: according to whether the process of evaluation and test frequency optimization is up to standard
Step S1: index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data;
Step S2: according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference;
Step S3: judge whether comprehensive difference is greater than predetermined threshold value; If comprehensive difference is greater than predetermined threshold value, then the optimization process of agriculture products parameter is not up to standard, returns step 202, regenerates interference matrix according to the basis signal data after frequency optimization; If comprehensive difference is less than or equal to predetermined threshold value, then the optimization process of agriculture products parameter is up to standard, performs step 206.
4., according to the arbitrary described frequency optimization method of claim 2-3, the frequency adjustment solution in described step 203 obtains in the following manner:
Day part interference matrix is weighted and obtains integrated interference matrix, carry out analog frequency adjustment for this integrated interference matrix, thus obtain single-frequency Adjusted Option.
5., according to the arbitrary described frequency optimization method of claim 2-4, it is characterized in that:
Described antenna system census data comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information;
Described cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data;
Described network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
6. a frequency optimization system, is characterized in that:
Frequency optimization grade arranges module 401, for arranging frequency optimization grade;
Treat that module 402 is chosen in frequency optimization community, for according to different frequency optimization grades, arrange and treat frequency optimization community selected threshold accordingly, choose and treat frequency optimization community;
To what select, frequency optimization processing module 403, for treating that frequency optimization process is carried out in frequency optimization community;
Frequency optimization effect determination module 404, for after frequency optimization terminates, extract frequency optimization Hou Ge community index and judge whether ongoing frequency optimization produces a desired effect, if ongoing frequency optimization produces a desired effect, then processed further by frequency optimization report generation module 407;
Optimization cycle expires judge module 405, for when frequency optimization effect determination module 404 judges that ongoing frequency optimization falls flat, judge whether current optimization cycle expires; If do not expired, module 401 is set by frequency optimization grade and resets frequency optimization grade according to residue optimization cycle and effect of optimization; Restart and take turns frequency optimization;
Optimization cycle extension judge module 406, when judging that current optimization cycle expires for the judge module 405 that expires at optimization cycle, judges that can optimization cycle delay further; If can delay, module 401 is set by frequency optimization grade and resets frequency optimization grade according to the optimization cycle extended and the effect of optimization not yet completed;
Frequency optimization report generation module 407, after completing for frequency optimization, no matter whether frequency optimization produces a desired effect, all generated frequency optimization reports.
7. frequency optimization system according to claim 6, is characterized in that frequency optimization processing module 403 comprises:
Data acquisition module 501, for gathering the basis signal data treating frequency optimization community, wherein, basis signal data at least comprise antenna system census data, cell data and network measurement data;
Interference matrix generation module 502, according to gathered basis signal data genaration interference matrix.The multiple interference matrix of basis signal data genaration that described interference matrix can gather according to different time sections, to reflect in network the situation treating frequency optimization community day part comprehensively;
Analog frequency adjustment and frequency scheme select module 503, for the interference matrix for multiple Different periods, each is treated that analog frequency adjustment is carried out respectively in frequency optimization community, thus the frequency adjustment solution obtained under multiple Different periods, and select a kind of frequency adjustment solution from the frequency adjustment solution multiple Different periods;
To each, frequency optimization module 504, for treating that frequency optimization is carried out in frequency optimization community according to the frequency adjustment solution chosen;
Whether evaluation and test module 505, evaluates and tests respectively to frequency optimization Hou Ge community, and up to standard according to the process of evaluation result determination frequency optimization;
With BBCH with BSIC determination module 506, for extracting all Cell Broadcast CB control channel BCCH (BroadcastControlChannel) and base station identity code BSIC (BaseStationIdentityCode) in distance to a declared goal, judge whether to exist with the situation of BCCH with BSIC;
BSIC adjusting module 507, for when same BBCH with BSIC determination module 506 determine exist with BCCH with BSIC, then identical BSIC is adjusted.
8. frequency optimization system according to claim 7, is characterized in that above-mentioned evaluation and test module 505 specifically can comprise:
Extraction unit 601, for index for selection parameter from the basis signal data after frequency optimization; Needs according to evaluation and test choose required index parameter from basis signal data;
Computing unit 602, for according to different acquisition time sections, calculates the difference of the index parameter after each time period frequency optimization and target indicator parameter respectively; The difference of each time period is weighted process, obtains comprehensive difference;
First determining unit 603: for when comprehensive difference is less than or equal to predetermined threshold value, the optimization process of agriculture products parameter is up to standard;
Second determining unit 604: for when comprehensive difference is greater than predetermined threshold value, the optimization process of agriculture products parameter is up to standard.
9., according to the arbitrary described frequency optimization system of claim 6-8, it is characterized in that above-mentioned evaluation and test module 503 can comprise further:
Frequency adjustment solution weighting generation module 5031, obtains integrated interference matrix for being weighted by day part interference matrix, carries out analog frequency adjustment, thus obtain single-frequency Adjusted Option for this integrated interference matrix.
10., according to the arbitrary described frequency optimization system of claim 7-9, it is characterized in that:
Described antenna system census data comprises: latitude and longitude of base station, base station height, antenna hang high, antenna azimuth and angle of declination, antenna electrical characteristics, the main covering parameter of antenna, surrounding environment electronic pictures information;
Described cell data comprises: critical outer net cell frequency, repeater and in-door covering data, management object data, network size carrier data;
Described network measurement data comprises: frequency sweep, drive test data, traffic statistics, adjacent area level measurement data and frequency point scanning data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114374986A (en) * | 2020-10-15 | 2022-04-19 | 中国移动通信集团浙江有限公司 | MR/MDT data-based antenna weight tidal effect optimization method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120164952A1 (en) * | 2010-12-22 | 2012-06-28 | Electronics And Telecommunications Research Institute | Method and apparatus for optimization to minimize radio link failure |
| 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 |
| CN104113864A (en) * | 2014-07-30 | 2014-10-22 | 中国联合网络通信集团有限公司 | Self-optimizing method and device of network |
-
2015
- 2015-07-21 CN CN201510430924.XA patent/CN105120478B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120164952A1 (en) * | 2010-12-22 | 2012-06-28 | Electronics And Telecommunications Research Institute | Method and apparatus for optimization to minimize radio link failure |
| 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 |
| 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 |
| CN104113864A (en) * | 2014-07-30 | 2014-10-22 | 中国联合网络通信集团有限公司 | Self-optimizing method and device of network |
Non-Patent Citations (1)
| Title |
|---|
| 刘中国，连正川，董帝: "基于测量报告的网络评估与优化", 《2009中国联通移动网络规划与优化技术论坛论文集》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114374986A (en) * | 2020-10-15 | 2022-04-19 | 中国移动通信集团浙江有限公司 | MR/MDT data-based antenna weight tidal effect optimization method and device |
| CN114374986B (en) * | 2020-10-15 | 2023-09-05 | 中国移动通信集团浙江有限公司 | Antenna weight tidal effect optimization method and device based on MR/MDT data |
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