CN101060689B - A method and equipment for planning the communication system network - Google Patents
A method and equipment for planning the communication system network Download PDFInfo
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Abstract
The disclosed method for communication system planning comprises: obtaining current network route message; correcting the propagation model; accordingly, obtaining parameter message for the network planning. This invention direct makes use of 2G network parameter for 3G coverage predication.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of method and apparatus of communication system network planning.
Background technology
Because 3G (3
RdGeneration, 3-G (Generation Three mobile communication system)) wireless network planning and optimizing than 2G (2
NdGeneration, second generation mobile communication system) network complexity many, therefore seek a kind of planning efficiently and optimization method is the problem that receives much attention for the construction of 3G network.
At present, in the 3G wireless network planning stage, generally at first to carry out CW (Continuous Wave, continuous wave) test, carry out propagation model revision according to the CW data, carry out the coverage prediction of sub-district then, utilize the result of coverage prediction to obtain network planning solution at last.According to the conventional method, coverage prediction mainly is by utilizing propagation model and calculating Radio Link loss between transmitter and the receiver in conjunction with numerical map.At present the propagation model that exists of industry mainly comprises two kinds, is respectively propagation model based on statistics as the macrocellular propagation model based on Hata, and propagation model such as the ray trace propagation model determined.Use the Hata propagation model,, can't simulate the remarkable shadow fading that has as the city and change though can utilize the CW test to carry out model tuning; Though and the ray trace propagation model can be simulated the city communication environments preferably, but to the required precision of numerical map than higher, need parameters such as type of ground objects, object height, depth of building, and the data that also need to use the CW tester to obtain are carried out propagation model revision.And the CW test has not only expended the great amount of cost of operator, and more consuming time, has influenced the cycle of networking, and network coverage forecasting accuracy can not get also guaranteeing that the cost of feasible planning and workload are all than higher.
In order to address this problem, a kind of method that drive test data carries out the plan optimization of network that has of utilizing has been proposed in the prior art, utilize the drive test data that has the 2G network to carry out the plan optimization of 3G network, with this correctness that improves prediction, specifically comprise:
Step s10 obtains the measurement data of existing network, and concrete data comprise geographical longitude and latitude, signal strength signal intensity, aerial information, transmitting power etc.
Step s20 according to launch point power and the signal strength signal intensity that receives, and the loss of equipment, is converted into 2G drive test data signal the drive test signal of corresponding 3G network.
Step s30 according to 3G network drive test signal, draws the performance parameter of network.
By using this method, for current network,, just can obtain the 3G network coverage prediction of corresponding drive test point, thereby carry out the plan optimization of network if there is the drive test information of 2G network in this transmitter.But also there is following shortcoming in this technology: for the zone that does not have drive test data, can't predict.And there is not the regional proportion of drive test data in the actual conditions is sizable, therefore causes under a lot of situations and can't use this method.In addition, this method requires 3G network and 2G network cobasis station, than the number of cells with 2G cobasis station increase is arranged if work as the network of preplanning, and at this moment the signal of this sub-district does not have drive test data, can't accurately change, so then unpredictable for newly-increased website.
Summary of the invention
The embodiment of the invention provides a kind of method and apparatus of communication system network planning, to improve the accuracy to 3G network planning.
For achieving the above object, embodiments of the invention provide a kind of method of communication system network planning, comprise the steps:
Obtain current network route message, described drive test information comprises: 2G drive test data, the engineering parameter of 2G and 3G network;
According to described drive test information correction propagation model, step specifically comprises: described 2G drive test data is carried out preliminary treatment; Described pretreated 2G drive test data is converted to the data of 3G network continuous wave form; Utilize the data of described 3G network continuous wave form that propagation model is proofreaied and correct;
Carry out the coverage prediction of the communication system network of needs planning according to the propagation model after described drive test information and the correction;
Generate the parameter information in the communication system network of needs planning according to the coverage prediction result.
Embodiments of the invention also provide a kind of equipment of communication system network planning, comprise data capture unit, propagation model revision unit and coverage prediction unit,
Described data capture unit obtains current network route message, and described drive test information comprises: the 2G drive test data, and the engineering parameter of 2G and 3G network, and described information sent to described propagation model revision unit;
Described propagation model revision unit according to the information that described data capture unit sends, is proofreaied and correct propagation model, comprising: described 2G drive test data is carried out preliminary treatment; Described pretreated 2G drive test data is converted to the data of 3G network continuous wave form; Utilize the data of described 3G network continuous wave form that propagation model is proofreaied and correct;
Described coverage prediction unit, according to the drive test information of obtaining from described data capture unit, and the propagation model of the correction that obtains of described propagation model revision unit needs the coverage prediction of the communication system network of planning, generates the parameter information in the communication system network of needs planning according to the coverage prediction result.
Compared with prior art, embodiments of the invention have the following advantages:
In the 3G network coverage prediction, utilize the existing drive test data of 2G network and utilize the propagation model after the 2G drive test data is proofreaied and correct to carry out coverage prediction, more accurate propagation model and coverage prediction result are provided.
Description of drawings
Fig. 1 utilizes the 2G drive test data to carry out the method flow diagram of 3G propagation model revision and coverage prediction in the embodiments of the invention one;
Fig. 2 is the flow chart that the 2G drive test data is converted to 3G network CW form data in the embodiments of the invention one;
Fig. 3 is the flow chart of model tuning in the embodiments of the invention one;
Fig. 4 is the schematic diagram of a kind of network planning situation in the embodiments of the invention one;
Fig. 5 is the device structure schematic diagram of communication system network planning in the embodiments of the invention two.
Embodiment
Below in conjunction with accompanying drawing and embodiment, embodiments of the present invention are described further.
In the embodiments of the invention one, to utilize the 2G drive test data to carry out the 3G propagation model revision and coverage prediction is an example, a kind of method of communication system network planning may further comprise the steps as shown in Figure 1:
Step s101, obtain 2G network and 3G network data.
These data comprise the 2G drive test data, and the engineering parameter of 2G and 3G network.Wherein, the drive test data of preserving in the 2G network need comprise testing time, longitude and latitude, Serving cell number, Serving cell frequency, Serving cell received signal level, adjacent subdistrict frequency point and adjacent sub-district received signal level of drive test point etc.In addition, engineering parameter comprises as site location, sector power and antenna feeder configuration etc.
Step s102, the 2G drive test data is carried out preliminary treatment.
From the 2G drive test data, filter out the drive test data that is total to the 2G website of antenna feeder with the 3G website.The feature of these data is that the height of the geographical longitude and latitude of antenna feeder and antenna is all identical with the 3G website, and is in Idle (free time) state, but frequency range, antenna type and azimuth can be different.The included information of pretreated 2G drive test data can be as shown in table 1:
Table 1:
| Drive test information | Explanation |
| TIME | Testing time |
| LON | The longitude of drive test point GPS |
| LAT | The latitude of drive test point GPS |
| CI_SERV | Drive test point Serving cell number |
| BSIC_SERV | Drive test point base station in service sector identification code |
| BCCH_SERV | Drive test point Serving cell BCCH working frequency points |
| RXLEV_F | Drive test point Serving cell BCCH received signal level (dBm) |
| BSIC_Ni | The base station identity code of i adjacent sub-district, i=1,2 ..., 6 |
| BCCH_Ni | The BCCH working frequency points of i adjacent sub-district, i=1,2 ..., 6 |
| RXLEV_Ni | The BCCH received signal level (dBm) of i adjacent sub-district, i=1,2 ..., 6 |
Step s103, the 2G drive test data is converted to 3G network CW form data.
Read as the 2G drive test data described in the table 1, each Serving cell data are converted to corresponding 3G cell data, be increased in the CW formal file of 3G sub-district correspondence.
The CW form data that step s104, utilization obtain are carried out propagation model revision.
Utilize CW form data, can be directly used in propagation model revision, or for there not to be the sub-district of drive test data to carry out coverage prediction.
Step s105, according to the 2G drive test data and the propagation model after proofreading and correct carry out the coverage prediction of 3G network.
Below the step s103 among the embodiment one is described further, describes how the 2G drive test data is converted to 3G network CW form data, this flow path switch specifically comprises as shown in Figure 2:
Step s201, take out a current drive test point from 2G drive test file, current drive test information is promptly as the described information of table 1.
Step s202, the Serving cell data of current drive test point are converted to corresponding 3G cell data, are increased in the CW formal file of 3G sub-district correspondence.
This step specifically may further comprise the steps:
(1) the 3G sub-district of acquisition and 2G cell coupling.According to the 2G Serving cell of current drive test point number, in 2G engineering parameter information, find antenna parameter information, BCCH (BroadcastControl Channel, Broadcast Control Channel) transmitting power and the antenna-feed parameter of this Serving cell.According to geographical longitude and latitude, the antenna parameter of 2G Serving cell, and the engineering parameter information of 3G, the 3G sub-district that is total to website and antenna feeder with the 2G Serving cell found.
(2) in the CW of this 3G sub-district form measurement data file, increase a measurement point.The information of measurement point comprises testing time, drive test point GPS (Global Positioning System, global positioning system) longitude and latitude, and 3G sub-district received signal level.Wherein testing time, drive test point GPS longitude and latitude identical with the drive test point data of 2G Serving cell, the received signal level of 3G sub-district obtains according to the received signal level of 2G Serving cell, computing formula is as follows:
The received signal level of 3G sub-district=drive test point Serving cell BCCH received signal level
+ (transmitting power of 3G sub-district-2G Serving cell BCCH transmitting power)
+ (antenna gain of the antenna gain of 3G antenna acceptance point-2G antenna acceptance point)
+ (2G antenna feeder loss-3G antenna feeder loss)
The link load that frequency difference between+2G network and the 3G network causes is poor
In the above-mentioned formula, antenna gain is antenna type, the aerial angle according to network, the lobe pattern of antenna, and the geographical position of antenna and acceptance point is calculated and obtained.The link load difference that frequency difference between 2G network and the 3G network causes can from empirical value, also can derive according to some known propagation models.Therefore 3G network can be different with the frequency range of 2G network, and the type of antenna and angle etc. also can be adjusted, the utilization of maximum magnitude existing drive test data.
Step s203, adjacent sub-district Ni data are converted to corresponding 3G cell data, are increased in the CW formal file of 3G sub-district correspondence.
The operation of the operation of this step and the rapid s202 of previous step is basic identical, difference is that the Serving cell of 2G network road measurement point number has obtained when demodulation Serving cell BCCH channel, provided cell id in the drive test dot information, but the cell id of all adjacent sub-districts but can't obtain when test, need by 2G network cell number and frequency, BSIC (Base transceiver Station Identity Code, base station identity code) corresponding relation, and geographical position coupling mapping obtains.After obtaining the cell id of adjacent sub-district, subsequent operation is then with step s202.
Step s204, judge whether all adjacent sub-districts dispose, and carry out step s203 when not finishing, disposed and then carried out step s205.
Step s205,2G drive test file move down a drive test point.
Step s206, judge 2G drive test file whether processing finish, if finish then to carry out step s201, finish if finish then whole flow process.
Below the step s104 among the embodiment one is described further, describes and how to utilize the CW form data that obtain to carry out propagation model revision.Utilize CW form data, can be directly used in propagation model revision, or for there not to be the sub-district of drive test data to carry out coverage prediction.
The propagation model that present industry is generally used is based on improved propagation model on the standard Hata model basis, the SPM that provides in the GENEX U-Net planning instrument (Standard Propagation Model, standard propagation model) propagation model belongs to this class exactly.Generally in network planning process, all need the propagation model of these statistics is proofreaied and correct, just can carry out coverage prediction then.And in the planning instrument, all can provide the propagation model revision instrument.This paper just is that example illustrates how to utilize the CW form data that obtain to carry out propagation model revision with SPM in the 3rd step.As shown in Figure 3, be the flow chart of model tuning.
Step s301, obtain the drive test data that is converted into CW form data.
After all 2G drive test information processings are finished, will obtain the CW formal testing data file of each 3G sub-district after the processing,, need handle these CW form data in order to improve data accuracy, processing comprises the filtration of data, and data discrete and data are geographical average.
The data of step s302, this CW form of screening and filtering.
In actual drive test process, the bigger data of some errors can appear with being difficult to avoid, bring error for fear of these data, need be with this part data screening and filtering in addition, filter and mainly contain based on the filtration of measured value with based on the filtration of distance.
Filtration based on measured value: when measured value is lower, receiver is in the critical condition that solves signal, its measured value is subjected to the influence of momentary fluctuation easily, and the performance of bonding apparatus more powerfully in the test process midfield needs filtering in certain thresholding or less than the data of certain thresholding.
Filtration based on distance: in test data, when distance is too far away, outlier (the fraction data point of the most of trend that data present of substantial deviation in the measurement data set) appears easily because signal is too weak, this moment, receiver was in the critical condition that solves signal, and its measured value is subjected to the influence of momentary fluctuation easily.And distance is easier to form line of sight when too near, and the signal strength signal intensity of line of sight and non-line of sight has bigger difference, and the bigger measure error of appearance departs from test data easily.Therefore in this test data, there is bigger chance to become outlier apart near excessively point (less than certain distance) in base station and point (greater than certain distance) far away excessively are all relative, error is bigger, so the also in addition filtering of this part data.
Step s303, the CW data are dispersed and geographical average.
Utilize the propagation of the theory analysis mobile communication of random process, can be expressed as:
r(x)＝m(x)r
0(x)
Wherein, x is a distance, and r (x) is a received signal; r
0(x) be Rayleigh fading; M (x) is local average, and synthesizing of just long-term decline and spatial transmission loss can be expressed as:
Wherein 2L is the average sample siding-to-siding block length, also is intrinsic length.
The CW test is exactly the local average of obtaining as far as possible in a certain regional each point geographical position, and promptly r (x) is as far as possible little with the difference of m (x), therefore will obtain the influence that local average must be removed Rayleigh fading.Do mean time for one group of measurement data,, then still have the influence of Rayleigh fading to exist if intrinsic length is too short; If 2L is oversize, then can also on average fall shadow fading.According to Lee criteria, be 40 wavelength in intrinsic length, when sampling 50 sampling points, the difference that can make test data and actual local average is less than 1dB.
Therefore intrinsic length is exactly to carry out geographical average length.For example in the 2G frequency range, emission wavelength is 0.15 meter, 40 wavelength are exactly 6 meters, that is to say need per 6 meters do once average, but measured data can only be located a point in one second because the GPS locating speed is too slow, if the speed of a motor vehicle is 50km/h, be the point in per 14 meters ability location, it is average obviously can not directly to do geography, therefore needs to do discrete processes before geography is average.
In the CW test data that is obtained,, thereby under each anchor point (identical longitude and latitude), arranging a lot of bar surveying records in chronological order because the inbound pacing of receiver is much larger than the locating speed of GPS.Suppose that the speed of a motor vehicle is uniform between per two anchor points, and the time interval between per two surveying records equates (this all is satisfiable in the error allowed band), then these surveying records can be evenly distributed in chronological order the highway section between 2, so just can satisfy on test route all has enough counting in each 6 meters length.
Just can carry out geography on average after finishing data discrete, geographical average purpose is eliminated rapid fading exactly, keeps the influence of slow fading, and it does average scope is exactly intrinsic length.Doing geography on average has two kinds of methods, is respectively: range averaging mode and grid average mode.The range averaging mode is meant with the stretch range finding gets measured value from (m) for average unit, and the last test point location is at " line segment " end.The grid average mode is meant by longitude and latitude the face of land is divided into many little grids, the grid length of side (s) can be provided with, to drop on all measurement points in a certain grid as average object, obtain data after, again with the position of grid center as last test point (geographical average back).
Step s304, the initial parameter of SPM propagation model is set.
Formula and parameter that the SPM model uses are as follows:
L
model＝K
1+K
2log(d)+K
3log(H
Txeff)+K
4×Diffraction?loss+K
5log(d)×log(H
Txeff)+K
6(H
Rxeff)+K
clutterf(clutter)
Wherein,
K
1: the biasing constant;
D: the distance between the Receiver And Transmitter (m);
K
2: apart from the coefficient of logarithm log (d);
H
Txeff: the effective depth of transmitter antenna;
K
3: height of transmitting antenna logarithm log (H
Txeff) coefficient;
Diffraction loss: run into the loss that barrier diffraction causes;
K
4: the coefficient of diffraction loss, K
4Must be on the occasion of;
K
5: the height of transmitting antenna logarithm is in distance logarithm product log (H
Txeff) coefficient of log (d);
H
Rxeff: the reception antenna effective depth;
K
6: reception antenna effective depth logarithm log (H
Rxeff) coefficient;
F (clutter): the weighted average loss that atural object causes;
K
Clutter: the coefficient of the weighted average loss f (clutter) that atural object causes.
Step s305, utilize the planning instrument to carry out the adjustment of propagation model parameter.
In model tuning, utilize the CW test data to COEFFICIENT K
1To K
6, K
ClutterAnd atural object average loss f (clutter) etc. carries out the correction of parameter, makes model be more suitable for the environment of being tested, and the standard deviation that universal model is proofreaied and correct is acceptable less than 8dB.The parameter K of above-mentioned model
1To K
6By concrete communication environments decision, K
ClutterIt is correction factor by different atural object decisions.Different atural object has determined different K
Clutter, and the K parameter be by CW test data progressively match come out.
Whether step s306, judgment models parameter and standard deviation be reasonable, if rationally then continue, otherwise carries out step s305.
The propagation model of step s307, output calibration.
The parameter and the propagation model that utilize match to obtain can not had the sub-district of drive test data to carry out coverage prediction, this model can be used for follow-up network planning optimization yet.
Below the step s105 among the embodiment one is described further, how describes according to the 2G drive test data and the propagation model after proofreading and correct carries out the coverage prediction of 3G network.Carry out the coverage prediction of 3G network in above-mentioned steps s105, specifically again in two kinds of situation, a kind of situation is that this sub-district is newly-increased sub-district, can not find corresponding district in the 2G network, does not therefore have corresponding drive test information.There is corresponding 2G cell this sub-district of another kind of situation, and therefore corresponding drive test information arranged.
For first kind of situation, this sub-district does not have the newly-increased 3G sub-district of corresponding 2G cell, can directly utilize the propagation model after proofreading and correct among the step s104 to carry out coverage prediction.
For second kind of situation, the 3G sub-district that respective cell is arranged in the 2G network when prediction generates the parameter of this sub-district, is divided into two kinds of situations again, a kind of situation is that point to be predicted has corresponding drive test point, and another situation is the blank spot that point to be predicted does not have corresponding drive test point.According to the CW data file of current area, for the point that corresponding drive test point is arranged, according to the incoming level of current drive test point, and the efficient transmitting power of transmitting terminal, just can calculate the path loss of transmitting terminal to receiving terminal.For the blank spot that does not have corresponding drive test point, if there is not the drive test point near this sub-district, so for guaranteeing accuracy, need predict by abovementioned steps lieutenant colonel propagation model just in time, if the drive test point is arranged near the point to be predicted, then can adopt fitting method to calculate the link load of this blank spot according to drive test point on every side.Concrete approximating method is varied, generally need be by propagation model, can be with general propagation model such as Hata model in the use of propagation model, the propagation model after the correction that provides in the embodiment of the invention also can be provided, predict the outcome more accurately obtaining.After determining propagation model, concrete computational methods are as follows:
As shown in Figure 4, be example with certain blank spot P, be the center with this blank spot, to around expand certain limit, get 50 meters here, form a square.Described herein is to have the CW drive test data in the square area, and simultaneously these points belong to the situation of same transmitter (among the figure shown in the Y).The approximating method that carries out according to the propagation model after proofreading and correct divided for three steps:
The first step: utilize the propagation model of proofreading and correct, transmitter computes is to the path loss values pl of P point (blank spot)
p
Second step: utilize the propagation model of proofreading and correct, calculate path loss that obtains according to propagation model and the error delta pl that obtains path loss according to measured value at each the drive test point in the square scope
i, computing formula is as follows:
pl
i’＝p
eirp-m
i；Δpl
i＝pl
i’-pl
i
Pl wherein
iBe the path loss values that arrives each drive test point according to the transmitter that propagation model calculates, m
iBe the level value of drive test point, p
EirpBe the ERP of CW transmitter, pl
i' be the Actual path loss of calculating according to measuring-signal.
The 3rd step: calculate the path loss values pl that P is ordered at last
p':
Pl
p'=pl
p+ (∑ Δ pl
i)/n, wherein, i=1,2,3...n, n counts out for the drive test in the selected square area.
Except above-mentioned approximating method, for not being very high, also can utilize the average interpolation method to required precision, just directly get path loss average that blank spot path loss equals drive test point on every side.
By using the method for the communication system network planning that the foregoing description provides, directly utilize the existing drive test data of 2G to carry out coverage prediction, in conjunction with the propagation model after the correction that utilizes drive test data to obtain, make this method be not limited to 2G network and the common fully station of 3G network, this has not only improved the accuracy of coverage prediction, has also improved range of application.In addition, realized utilizing drive test data to carry out propagation model revision, avoided the CW test, for the same wireless scene is arranged but there is not the website prediction of drive test data that comparatively accurate propagation model also is provided, save cost for network planning optimization, shortened the networking cycle.
In the enforcement two of the present invention, the equipment 10 of a kind of communication system network planning as shown in Figure 5, this treatment facility 10 comprises data capture unit 11, propagation model revision unit 12 and coverage prediction unit 13.
Particularly, data capture unit 11 obtains the required data of 3G network coverage prediction from 2G storage entity and 3G storage entity.These data comprise the engineering parameter of 2G network road measurement data and 2G and 3G network.Wherein, the drive test data of preserving in the 2G network need comprise testing time, longitude and latitude, Serving cell number, Serving cell frequency, Serving cell received signal level, adjacent subdistrict frequency point and adjacent sub-district received signal level of drive test point etc.In addition, engineering parameter comprises as site location, sector power and antenna feeder configuration etc.Wherein, this 2G storage entity and 3G storage entity can be used as the part of this equipment 10, also can be External memory equipment, carry out calling of data when needed by this equipment 10.
Propagation model revision unit 12 is proofreaied and correct propagation model according to the information that described data capture unit sends.Concrete, propagation model revision unit 12 further comprises preliminary treatment subelement 121, data transaction subelement 122 and model tuning subelement 123,
Preliminary treatment subelement 121 carries out preliminary treatment to the current network route message that data acquiring unit 11 obtains.From this 2G drive test data, filter out the drive test data that is total to the 2G website of antenna feeder with the 3G website, and these data preparations are become the form that data transaction subelement 122 is supported.
Data transaction subelement 122 is changed preliminary treatment subelement 121 pretreated data, and the 2G drive test data is converted to 3G network CW form data.
Model tuning subelement 123 is proofreaied and correct propagation model according to the CW form data after 122 conversions of data transaction subelement.Concrete, the CW form data of this unit after to 122 conversions of data conversion subelement are carried out screening and filtering, discrete and geographical average, and adjust the parameter of propagation model, the propagation model behind the last output calibration according to the CW form data after handling.
Coverage prediction unit 13 utilizes the propagation model after proofreading and correct in the drive test data of 2G website in the data capture unit 11 and the propagation model revision unit 12 to generate parameter information in the communication system network that needs planning, comprise the path loss of 3G network etc., and these 3G network coverage prediction information stores are arrived 3G storage entity.
By using the equipment of the communication system network planning that the foregoing description provides, realized directly utilizing the existing a large amount of drive test datas of 2G to carry out coverage prediction, in conjunction with the propagation model after the correction that utilizes drive test data to obtain, not only improved the accuracy of coverage prediction, also improved range of application.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (12)
1. the method for a communication system network planning is characterized in that, comprises the steps:
Obtain current network route message, described drive test information comprises: 2G drive test data, the engineering parameter of 2G and 3G network;
According to described drive test information correction propagation model, step specifically comprises: described 2G drive test data is carried out preliminary treatment; Described pretreated 2G drive test data is converted to the data of 3G network continuous wave form; Utilize the data of described 3G network continuous wave form that propagation model is proofreaied and correct;
Carry out the coverage prediction of the communication system network of needs planning according to the propagation model after described drive test information and the correction;
Generate the parameter information in the communication system network of needs planning according to the coverage prediction result.
2. the method for communication system network planning according to claim 1 is characterized in that, describedly the 2G drive test data is carried out pretreated step is specially:
According to the engineering parameter of described 2G and 3G network, from described 2G drive test data, filter out the 2G drive test data that is total to antenna feeder with the 3G website;
The 2G drive test data of putting in order after the described screening is predefined form.
3. as the method for communication system network planning as described in the claim 2, it is characterized in that the described step that pretreated 2G drive test data is converted to the data of 3G network continuous wave form is specially:
Take out drive test point the 2G drive test data after described arrangement;
All 2G cell data in the described drive test point are converted to corresponding 3G cell data, are increased to the continuous wave form data of 3G sub-district correspondence;
Changing the 2G drive test data of next drive test point data after whole described arrangements converts.
4. as the method for communication system network planning as described in the claim 3, it is characterized in that, described 2G cell data in the drive test point are converted to the 3G cell data of correspondence, and the step that is increased to the continuous wave form data of 3G sub-district correspondence is specially:
Obtain the cell id of 2G cell in the described drive test point;
Obtain the data message of described 2G cell according to described cell id;
Data message according to described 2G cell obtains the 3G sub-district that is total to website and antenna feeder with described 2G cell;
Obtain the data message of described 3G sub-district according to the data of described 2G cell;
The data message of described 3G sub-district is increased to the continuous wave form data of described 3G sub-district correspondence.
5. as the method for communication system network planning as described in the claim 4, it is characterized in that the data message of 3G sub-district comprises testing time, drive test point longitude and latitude and 3G sub-district received signal level in the described continuous wave form data.
6. as the method for communication system network planning as described in the claim 5, it is characterized in that the acquisition methods of described 3G sub-district received signal level is:
The received signal level of 3G sub-district=
Drive test point 2G cell BCCH channel of broadcast control received signal level
+ (transmitting power of 3G sub-district-2G cell BCCH transmitting power)
+ (antenna gain of the antenna gain of 3G antenna acceptance point-2G antenna acceptance point)
+ (2G antenna feeder loss-3G antenna feeder loss)
The link load that frequency difference causes between+2G network and 3G network is poor.
7. the method for communication system network planning according to claim 1 is characterized in that, the step of utilizing the data of described 3G network continuous wave form that propagation model is proofreaied and correct specifically comprises:
The data of the described continuous wave form of screening and filtering;
Data to the continuous wave form behind the described screening and filtering disperse with geographical average;
The initial parameter of propagation model is set, utilizes described data discrete and geographical continuous wave form after average that described initial parameter is adjusted;
Obtain adjusted propagation model parameter, the propagation model of output calibration.
8. the method for communication system network planning according to claim 1 is characterized in that the step of the parameter information in the communication system network that described generation need be planned specifically comprises:
For newly-increased in described 2G network the 3G sub-district of no corresponding sub-district, carry out parameter information according to the propagation model of described correction and predict;
For in described 2G network, having respective cell and tested point that the 3G sub-district of corresponding drive test point is arranged,, carry out the parameter information prediction according to current drive test point drive test information;
For in described 2G network, respective cell being arranged but tested point does not have the 3G sub-district of corresponding drive test point,, carry out the parameter information prediction according to the drive test information of propagation model He other drive test points of described correction.
9. as the method for communication system network planning as described in the claim 8, it is characterized in that, described in the 2G network, respective cell being arranged but tested point does not have the step that the parameter information of the 3G sub-district of corresponding drive test point predicts specifically comprises:
Obtain the theoretical value of described tested point and each drive test point parameter according to the propagation model of described correction;
According to the error of the theoretical value of the actual value of described each drive test point parameter and described each drive test point parameter, obtain the parameter error of described tested point by match;
The predicted value of obtaining described tested point parameter according to the parameter error and the theoretical value of described tested point.
10. the equipment of a communication system network planning is characterized in that, comprises data capture unit, propagation model revision unit and coverage prediction unit,
Described data capture unit obtains current network route message, and described drive test information comprises: the 2G drive test data, and the engineering parameter of 2G and 3G network, and described information sent to described propagation model revision unit;
Described propagation model revision unit according to the information that described data capture unit sends, is proofreaied and correct propagation model, comprising: described 2G drive test data is carried out preliminary treatment; Described pretreated 2G drive test data is converted to the data of 3G network continuous wave form; Utilize the data of described 3G network continuous wave form that propagation model is proofreaied and correct;
Described coverage prediction unit, according to the drive test information of obtaining from described data capture unit, and the propagation model of the correction that obtains of described propagation model revision unit needs the coverage prediction of the communication system network of planning, generates the parameter information in the communication system network of needs planning according to the coverage prediction result.
11. the equipment as communication system network planning as described in the claim 10 is characterized in that described propagation model revision unit comprises preliminary treatment subelement, data transaction subelement and model tuning subelement,
Described preliminary treatment subelement carries out preliminary treatment to the current network route message that described data capture unit obtains;
Described data transaction subelement is changed the pretreated data of described preliminary treatment subelement;
Described model tuning subelement is proofreaied and correct propagation model according to the data after the described data transaction subelement conversion.
12. equipment as communication system network planning as described in the claim 10, it is characterized in that, also comprise data storage cell, provide current network route message to described data capture unit, and store the parameter information in the communication system network of the needs planning that described coverage prediction unit generates.
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| CN2007101078234A CN101060689B (en) | 2007-05-17 | 2007-05-17 | A method and equipment for planning the communication system network |
| PCT/CN2008/070651 WO2008141551A1 (en) | 2007-05-17 | 2008-04-01 | A method and equipment for planning the communication system network |
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| CN2007101078234A CN101060689B (en) | 2007-05-17 | 2007-05-17 | A method and equipment for planning the communication system network |
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