CN108259097A - The method and device of amendment radio transmission model based on MR data - Google Patents
The method and device of amendment radio transmission model based on MR data Download PDFInfo
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- H—ELECTRICITY
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- H04B17/391—Modelling the propagation channel
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Abstract
The invention discloses a kind of method and devices of the amendment radio transmission model based on MR data, the described method comprises the following steps：Obtain the MR data of target area；The MR data of the target area are pre-processed, including：Grid division is carried out to the target area；For any grid, the quantity of MR data is counted respectively according to different donor cells, only retain MR data of the quantity more than or equal to the donor cell of preset amount threshold of MR data；The MR data of Exception Filter；Radio transmission model is modified using pretreated MR data.The present invention can promote the accuracy of radio transmission model using MR data correction radio transmission models.
Description
Technical field
The present invention relates to wireless communication field, more particularly, to a kind of amendment radio transmission model based on MR data
Method and device.
Background technology
The amendment of radio transmission model is the premise of wireless network planning, and the accuracy of propagation model directly influences wirelessly
Quantity customizing, website distribution, emulation and the accuracy of planning of the network planning.Traditional bearing calibration is to pass through CW
(Continuous Wave, continuous wave) simulation test data correct, and the accuracy of model correction depends on CW simulation test numbers
According to quality, and the simulation test data of high quality often more difficult acquisition.
Radio transmission model is the mathematical model for describing slow fading effect of the wireless signal during spatial, is based on
Okumura-Hata models, the standard propagation model (SPM) of statistics are applied relatively broad in Practical Project.Wireless signal is certainly
By spatial, decline is mainly made of three parts：Free space decline, slow fading, rapid fading.Free space decline characterization
Be diffusion effect of the signal in space；Slow fading, rapid fading are then relative complex, and slow fading is due to mountain existing for communication space
The objects such as body, trees, building have blocked the propagation of signal, caused shadow fading effect；Rapid fading is then signal due to more
Shake caused by the superposition of diameter effect, the variation scale of rapid fading in the time domain are significantly faster than slow fading.Propagation model research pair
Slow fading effect as being actually accurately description specific region, and geomorphological features in different regions, different cities,
The features such as class humanity are there are larger difference, and theoretically each region should map different propagation model (fingerprint of similar people).
Propagation model is broadly divided into 2 classes：One kind is the theoretical analysis method based on radio propagation theory, such as
Volcano models, WaveSight models, WinProp models etc.；One kind is built upon a large amount of test datas and empirical equation base
Practical test statistics method on plinth, such as Okumura-Hata models, COST231-Hata models, Keenan-Motley models etc..
In mobile communication system, since mobile station constantly moves, propagation channel is not only influenced by Doppler effect, but also by
The influence of landform, atural object, in addition mobile system interference in itself and external interference can not be ignored.Based on mobile communication system
Above-mentioned characteristic, stringent theory analysis are difficult to realize, and are often needed to carry out communication environments approximation, be simplified, so that theoretical mould
Type error is larger.Therefore engineer application generally all uses statistical model.
Foremost statistical model will count Okumura models, it be Okumura using its a large amount of test data in Japan as
The propagation model with graphical representation that basic statistical goes out；COST231-Hata models be in Okumura-Hata model developments and
Come, this propagation model is the extended version of the Hata models of the COST Working Committees exploitation of EURO-COST compositions.And SPM (marks
Quasi- propagation model) propagation model foundation is on the basis of COST231-Hata empirical models, for 150~2000MHz frequency ranges
Radio wave propagation loss prediction, path loss PlossAssociated expression it is as follows：
Ploss=K1+K2log(d)K3log(Heff)+K4Diffractio n+K5log(d)×log(Heff)+K6(Hmeff)+
Kclutterf(clluteri)
Process using CW continuous wave test data correction radio transmission models is：
(1) using continuous wave as signal source, the center higher position in region to be measured is fixed in, makes continuous wave signal
All regions to be measured can be covered.
(2) and then planning test route, route should spread all over all types of ground objects in region as possible.
(3) receiver equipped with GPS positioning device is traversed by programme path average rate, and by certain frequency recording process
GPS position information and continuous wave signal level value.
(4) it after the completion of testing, is repaiied using all GPS location points and its corresponding level value as data importing propagation model is corrected
Positive software, the exportable revised radio transmission model of software.
As can be seen that tradition CW test jobs are complicated, the period is longer, and the quality of data depends on test route, test eventually
End, test vehicle, speed etc. factor, have significant limitation, limit propagation model amendment answering in Practical Project
With.And propagation model is the basis of mobile radio communication plot planning, propagation model it is accurate whether substantial connection to plot planning
Rationally whether, can operator be met the needs of users with both economical rational investment.Therefore meet this area to obtain
The radio transmission model of actual environment, lays a solid foundation for the network planning, and there is an urgent need for a kind of new propagation model amendment schemes.
Invention content
It is an object of the present invention to provide a kind of method and devices of the amendment radio transmission model based on MR data
New solution, to promote the accuracy of radio transmission model.
According to the first aspect of the invention, a kind of method of the amendment radio transmission model based on MR data, packet are provided
Include following steps：
The MR data of target area are obtained, at least contain following information in the MR data：RSRP values, geographical location letter
Breath, donor cell information and band information；
The MR data of the target area are pre-processed, including：
Grid division is carried out to the target area；For any grid, MR is counted respectively according to different donor cells
The quantity of data only retains MR data of the quantity more than or equal to the donor cell of preset amount threshold of MR data；
The MR data of Exception Filter, any or combination included the following steps：
The distance between filtering geographic position base station corresponding with donor cell is more than the MR data of the first distance threshold；
The distance between filtering geographic position base station corresponding with donor cell is less than the MR data of second distance threshold value；
Filter the MR data of non-main beam direction；
Filter the donor cell MR data inconsistent with the prediction donor cell in the geographical location；
Radio transmission model is modified with pretreated MR data.
Preferably, the pretreatment is further comprising the steps of：Calculate the same donor cell of belonging in same geographical location
The average value of the RSRP values of MR data, and the RSRP values of each MR data of the donor cell in the geographical location are modified to this
Average value.
Preferably, the length of side of the grid is less than or equal to 40 times of wavelength, and the amount threshold is more than or equal to 30.
Preferably, first distance threshold is twice of station spacing；The second distance threshold value is Times station spacing.
Optionally, the prediction donor cell is through the following steps that determine：Transmitter coverage Prediction is done, is obtained each
The prediction coverage area of transmitter；Inquiry covers the transmitter in the geographical location of the MR data, and the prediction of the MR data is applied
Main plot is the cell belonging to the transmitter in the geographical location for covering the MR data.
Optionally, report cycle information is also contained in the MR data；The MR data to the target area carry out
Pretreatment, further includes：Screen the MR data that report cycle is 120ms-1024ms.
According to the second aspect of the invention, a kind of device of the amendment radio transmission model based on MR data, packet are provided
Include memory and processor；The memory is real when the computer program is executed by processor for storing computer program
Existing following steps：
The MR data of target area are obtained, at least contain following information in the MR data：RSRP values, geographical location letter
Breath, donor cell information and band information；
The MR data of the target area are pre-processed, including：
Grid division is carried out to the target area；For any grid, MR is counted respectively according to different donor cells
The quantity of data only retains MR data of the quantity more than or equal to the donor cell of preset amount threshold of MR data；
The MR data of Exception Filter, any or combination included the following steps：
The distance between filtering geographic position base station corresponding with donor cell is more than the MR data of the first distance threshold；
The distance between filtering geographic position base station corresponding with donor cell is less than the MR data of second distance threshold value；
Filter the MR data of non-main beam direction；
Filter the donor cell MR data inconsistent with the prediction donor cell in the geographical location；
Radio transmission model is modified with pretreated MR data.
Preferably, the pretreatment is further comprising the steps of：Calculate the same donor cell of belonging in same geographical location
The average value of the RSRP values of MR data, and the RSRP values of each MR data of the donor cell in the geographical location are modified to this
Average value.
Preferably, the length of side of the grid is less than or equal to 40 times of wavelength, and the amount threshold is more than or equal to 30.
Preferably, first distance threshold is twice of station spacing；The second distance threshold value is Times station spacing.
Optionally, the prediction donor cell is through the following steps that determine：Transmitter coverage Prediction is done, is obtained each
The prediction coverage area of transmitter；Inquiry covers the transmitter in the geographical location of the MR data, and the prediction of the MR data is applied
Main plot is the cell belonging to the transmitter in the geographical location for covering the MR data.
Optionally, report cycle information is also contained in the MR data；The MR data to the target area carry out
Pretreatment, further includes：Screen the MR data that report cycle is 120ms-1024ms.
According to the scheme of the amendment radio transmission model provided by the invention based on MR data, replaced with MR data traditional
CW data carry out radio transmission model amendment, and MR data are pre-processed, rasterizing and filtering etc. processing, reach
The randomness of MR data is eliminated, retains deterministic effect.Due to the real-time of MR data, comprehensive and objectivity, significantly
The working efficiency for correcting radio transmission model is improved, there is important meaning to 3/4G wireless network plannings.
The program not only makes it possible precisely to predict small-scale wireless environment, can also precisely predict different weather,
The propagation model difference (the MR data for choosing the different weather period) of the factors such as weather, humanity activities.
For example, influence of the rainy weather to high-frequency signal is very big, it is possible to MR data when choosing overcast and rainy, to correct the moon
Radio transmission model during rain, radio transmission model when obtaining accurately overcast and rainy, and CW data are a group test data of experiment, no
It can predict the propagation model in the case of different weather.For the 5G epoch, influence of the rainy weather to high-frequency signal is especially not
It can ignore, so MR data correcting methods also provide effective means for the propagation model amendment of 5G networks and prediction..
By referring to the drawings to the detailed description of exemplary embodiment of the present invention, other feature of the invention and its
Advantage will become apparent.
Description of the drawings
It is combined in the description and the attached drawing of a part for constitution instruction shows the embodiment of the present invention, and even
With its explanation together principle for explaining the present invention.
Fig. 1 is the flow chart of the method for the amendment radio transmission model according to embodiments of the present invention based on MR data.
Fig. 2 is the block diagram of the device of the amendment radio transmission model according to embodiments of the present invention based on MR data.
Fig. 3 is the prediction RSRP value and reality predicted using revised radio transmission model provided in an embodiment of the present invention
The comparison diagram of border RSRP values.
Specific embodiment
Carry out the various exemplary embodiments of detailed description of the present invention now with reference to attached drawing.It should be noted that：Unless in addition have
Body illustrates that the unlimited system of component and the positioned opposite of step, numerical expression and the numerical value otherwise illustrated in these embodiments is originally
The range of invention.
It is illustrative to the description only actually of at least one exemplary embodiment below, is never used as to the present invention
And its application or any restrictions that use.
Technology, method and apparatus known to person of ordinary skill in the relevant may be not discussed in detail, but suitable
In the case of, the technology, method and apparatus should be considered as part of specification.
In shown here and discussion all examples, any occurrence should be construed as merely illustrative, without
It is as limitation.Therefore, other examples of exemplary embodiment can have different values.
It should be noted that：Similar label and letter represents similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, then in subsequent attached drawing does not need to that it is further discussed.
<The method of amendment radio transmission model based on MR data>
Fig. 1 shows the flow of the method for the amendment radio transmission model according to embodiments of the present invention based on MR data
Figure, including step S1-S3.
Step S1, the MR data of target area are obtained.
MR data (Measurement Report) i.e. measurement report data refers to that base station or terminal are based on some cycles
Or the report file that event triggering reports, that is to say, that MR data are produced during the day-to-day operation of base station or terminal
Raw.The MR data that base station or terminal report are preserved in wireless network management platform, and terminal for example can be mobile phone, have and move
Equipment of dynamic communication function etc..Since MR data are generated during the day-to-day operation of base station or terminal, compared to CW
For analogue data, MR data closer to truth, have the advantages that it is more objective more fully.
Usually, MR data include：RSRP values, RSRQ values, geographical location information, donor cell information and frequency range letter
Tens kinds of field informations such as breath, really can comprehensively record network presence.RSRP(Reference Singnal Received
Power it is) Reference Signal Received Power of MR data points.RSRQ (Reference Singnal Received Quality) is
The Reference Signal Received Quality of MR data points.The geographical location information of MR data points generally comprises longitude information and latitude information；
Band information can include the frequency range of MR data points, can also include the network standard that MR data points use, such as MR data points
Using LTE-4G network standards, the frequency range of MR data points can be determined by the network standard.
MR data report cycles have 120ms, 480ms, 720ms ... 60min etc. considers user's rate travel, overall number
120ms-1024ms is typically chosen according to factors, report cycles such as amounts.Preferentially report cycle is selected as 120ms, 240ms, 480ms
MR data.Data record duration is longer, and MR data get over horn of plenty, considers to need to meet more than Lee criteria thresholding in subsequent step
Packing density, so the selection of data record duration is 1 more than week.Such as 1 the number of users of estimation in sq-km region be
30, MR data report cycle selection 480ms, packing density thresholding needs to meet 38/square metre, then data record duration should
For T=38*1000000/ (30*24*60*60*0.48)=7.03 day, therefore data record duration preferably 1 is more than week.
Selected target area preferably meets following characteristics in an embodiment of the present invention：A) wireless propagation environment is steady
It is fixed；B) mobile network's covering is abundant, and for subsequent authentication, to radio transmission model, modified effect, selected target area should use up
Amount is covered with a variety of areal types such as waters, greenery patches, building；C) there are a certain amount of mobile network user and distributions in region
Uniformly, user is more, and collected MR data are also more, is more advantageous to accurately correcting propagation model.
Step S2, the MR data of the target area are pre-processed, including step S21 and step S22.
S21, grid division is carried out to the target area；For any grid, unite respectively according to different donor cells
The quantity of MR data is counted, only retains MR data of the quantity more than or equal to the donor cell of preset amount threshold of MR data.
According to Lee criteria, in the modified test of progress radio transmission model, it is ensured that in the interval of 40 wavelength,
The test point of record cannot be less than 30, to effectively eliminate rapid fading, retain slow fading.Therefore, when grid is divided, grid
The length of side of lattice is less than or equal to 40 times of wavelength, and the amount threshold is more than or equal to 30.
In one embodiment, can wavelength be determined by the band information of MR data.Assuming that user terminal uses
Telecommunications LTE-4G networks, carrier frequency 800MHz, wavelength 0.38m, 40 times of wavelength are about 15 meters, then the length of side of grid is less than
Equal to 15 meters.In an embodiment of the present invention, selection target region is the region of 3 km *, 3 kms, and the length of side of grid is set as
15 meters, then above-mentioned target area can be divided into 40,000 grids.
After grid division, for any grid, count the quantity of MR data respectively according to different donor cells, only retain
The MR data of donor cell of the quantity of MR data more than or equal to 30, that is, only retain the MR data for meeting Lee criteria.
That is for the MR data in any grid, if the quantity of the MR data of some donor cell is less than 30, give up this
The MR data of the donor cell of grid.
Step S22, the MR data of Exception Filter, any or combination included the following steps：
The MR data of the distance between S221, filtering geographic position base station corresponding with donor cell too far.For MR numbers
According to if the distance between its geographical location base station corresponding with donor cell is too far, illustrating that the MR data are abnormal.
The abnormal data needs that usually will be considered hypertelorism for the MR data of 2 times of station spacings with the distance between base station
It filters out, can also be set according to practical application request.Such as in the present embodiment can be filtering it is big with base station distance
In the MR data of 700m.
The excessively near MR data of the distance between S222, filtering geographic position base station corresponding with donor cell.Terminal and base
When standing especially near, the random fluctuation of RSRP values can be bigger, if so the geographical location of MR data is corresponding with donor cell
The distance between base station is excessively near, then the MR data are considered as abnormal data, need to be filtered.
Usually it will be considered to need the exception filtered out for the MR data in second distance threshold value with the distance between base station
Data can also be set according to practical application request, and second distance threshold value is preferablyTimes station spacing.Such as
Can be the MR data that filtering is less than 10m with base station distance in the present embodiment.
The MR data of S223, the non-main beam direction of filtering.Since the transmitter of existing mobile communications network is mostly using orientation
Antenna, the only measurement point on the main beam direction of the current donor cell respective antenna of MR data are only effectively, so
The MR data filterings of non-main beam direction need to be fallen.
S224, filtering donor cell the MR data inconsistent with the prediction donor cell in the geographical location；
For step S224, in one embodiment, can coverage Prediction be done to transmitter in advance, obtain each hair
The prediction coverage area of machine is penetrated, then inquiry covers the transmitter in the geographical location of the MR data, the prediction of the MR data
Donor cell is the cell belonging to the transmitter in the geographical location for covering the MR data.If donor cell in MR data with it is pre-
It is inconsistent to survey donor cell, then illustrates the MR data exceptions, should be filtered.
In a more specifical example：
A, transmitter coverage Prediction is done using Atoll softwares, obtains the coverage Prediction figure of each transmitter.
B, MR data and coverage Prediction figure are imported into Maplnfo softwares, by MR data points figure layer and covering model
It encloses prediction figure layer and does superposition inquiry, derived query result.
C, the prediction donor cell in the donor cell and query result in MR data is compared, both retained consistent
MR data filter out inconsistent data.
In another embodiment, step S2, the MR data of the target area are pre-processed, step can also be included
Rapid S23.
S23, calculate same geographical location the MR data for belonging to same donor cell RSRP values average value, and will
The RSRP values of each MR data of the donor cell in the geographical location are modified to the average value.That is, same geographical location
The RSRP values of the MR data for belonging to same donor cell be unified for average value so that RSRP values are more reliable.
The sequence of above-mentioned steps S21-S23 can be interchanged, and the sequence of step S221-S224 can upset exchange, the present invention
Its sequence is not limited.
Step S3, radio transmission model is modified with pretreated MR data.
It is that SPM models are modified with CW data in conventional method, with pretreated MR data generation in the present embodiment
For traditional CW data, equally illustrated for being corrected to SPM models.
SPM (standard propagation model) model is built upon on the basis of COST231-Hata empirical models, for 150~
The radio wave propagation loss prediction of 2000MHz frequency ranges, path loss PlossAssociated expression and relevant parameter it is as follows：
Ploss=K1+K2log(d)+K3log(Heff)+K4Diffractio n+K5lod(d)×log(Heff)+K6(Hmeff)+
Kclutterf(clluteri)
Table 1SPM model parameter tables
Table 2SPM model coefficient tables
Parameter value described in corresponding multigroup table 1 is directly acquired or be calculated by a plurality of MR data and path is damaged
Consume Ploss, above-mentioned path loss formula is solved by multigroup parameter value, obtains coefficient value K1、K2、K3、K4、K5、K6And Kclutter, it is real
Now to the amendment of SPM models.
The calculation formula of its path loss is：Ploss=base station transmitting power-RSRP.
So correcting radio transmission model, it is just to solve for K in fact1、K2、K3、K4、K5、K6And Kclutter7 yuan of equations.
It is above-mentioned to share 7 coefficient values and need to solve, so at least need 7 MR data, correction model in order to obtain
More accuracy preferably selects 1000 or more MR data, better.
Step S3, radio transmission model, which is modified, to be included：
S31, base station and transmitter work ginseng are imported into Atoll softwares, creates CW test correction engineerings, CW test correction works
Journey should include all-network and geographical location information.
Above-mentioned work ginseng is determined according to the parameter that Atoll software requirements input, including coordinate system, map datum, antenna ginseng
Number and transmission power etc..
Wherein map datum includes digital terrain model DTM, type of ground objects, object height, map vector, scan image
Deng.
S32, MR data separations donor cell imports to CW test stations one by one, every group of MR data geographics location information should be with
CW test correction engineering geographical location information is consistent.
Above-mentioned CW test stations behaviour is selected according to situation.
After S33, data import properly, you can be corrected SPM models, select the corresponding base station of MR data and transmitter
It is corrected, the K after being corrected1~K6And KclutterValue.
Specifically, MR data import SPM models
Ploss=K1+K2log(d)+K3log(Heff)+K4Diffractio n+K5log(d)×log(Heff)+K6(Hmeff)+
Kclutterf(clluteri)
N groups can be obtained about K1、K2、K3、K4、K5、K6And Kclutter7 yuan of equations, due to selection MR data at least
There are 7, so N is more than or equal to 7.
Above-mentioned 7 yuan of equations of N groups are solved using least square method, you can the K after must correcting1~K6And KclutterValue.
By the K after above-mentioned correction1~K6And KclutterValue substitute into SPM models and obtain modified radio transmission model.
Above-mentioned is the method for correcting SPM models, it is noted that radio transmission model, modified method is can to pass through
Accomplished in many ways, one of which only is introduced herein, those skilled in the art are well known to this, so not doing here
Excessively repeat.
In another embodiment of the present invention, the standard of step S4, the modified radio transmission model of verification can also be included
True property.
Verification accuracy can will correct front and rear RSRP values and compare, and correct the front and rear higher theory of RSRP value registrations
Bright modified radio transmission model is more accurate.
Refering to what is shown in Fig. 3, wherein the longitudinal axis is RSRP values, horizontal axis is diverse geographic location.Solid line is the RSRP in MR data
Value, that is, true RSRP values.Dotted line is the prediction RSRP predicted using the radio transmission model after above-mentioned MR data corrections
Value, from figure 3, it can be seen that the two is consistent substantially, illustrates that this method achieves good effect, revised radio transmission mould
The type accurate simulation nature of radio propagation of one's respective area.
In addition, the verification common index of accuracy also has mean value and variance, mean bias 0-1dB, variance 0-8dB
When, illustrate that modified radio transmission model accuracy is high.
Table 3 is using after CW continuous wave test data correction radio transmission models, utilizes the prediction of invalid propagation model
The contrast effect of RSRP values and the RSRP values in MR data.Table 4 is wireless using MR data corrections provided in an embodiment of the present invention
After propagation model, using the contrast effect of the RSRP values and the RSRP values in MR data of the prediction of invalid propagation model, from the two
Table can be seen that using MR data corrections radio transmission model provided in an embodiment of the present invention, and obtained mean bias is
0.01dB, variance 7.77dB illustrate the nature of radio propagation of this method accurate simulation one's respective area.
Table 3
Table 4
| Landforms | Data volume | Mean bias (dB) | Variance (dB) |
| Waters | 1 | 0.73 | 0 |
| Marine site | 0 | 0 | 0 |
| Wetland | 0 | 0 | 0 |
| Suburb vacant lot | 0 | 0 | 0 |
| City is openly | 64 | -0.14 | 7.37 |
| Greenery patches | 1.335 | 0.01 | 8.29 |
| Forest land | 0 | 0 | 0 |
| High building | 0 | 0 | 0 |
| Common building | 0 | 0 | 0 |
| Compared to common building | 68 | 0.97 | 8.42 |
| Irregular heavy construction | 57 | 0.41 | 3.87 |
| Asymmetric buildings | 2.239 | 0 | 7.5 |
| Suburban areas | 0 | 0 | 0 |
| Land for roads | 308 | -0.14 | 7.77 |
| It amounts to | 4072 | 0.01 | 7.77 |
The amendment radio transmission model based on MR data using the embodiment of the present invention is can be seen that from more than correction data
The revised radio transmission model of method, due to be using comprehensive, objective MR data, and MR data have been carried out screening and
The processing such as filtering, obtained radio transmission model have high accuracy.Using revised by modification method of the present invention
Radio transmission model, data and the mean bias of actual value and the variance all smallers predicted.
An embodiment of the present invention provides the schemes of the amendment radio transmission model based on MR data, and tradition is replaced with MR data
CW data carry out radio transmission model amendment, due to the real-time of MR data, comprehensive and objectivity, greatly improve and repair
The working efficiency of positive radio transmission model, has 3/4G wireless network plannings important meaning.
This method not only makes it possible precisely to predict small-scale wireless environment, can also precisely predict different weather,
The propagation model difference (the MR data for choosing the different weather period) of the factors such as weather, humanity activities.
For example, influence of the rainy weather to high-frequency signal is very big, it is possible to MR data when choosing overcast and rainy, to correct the moon
Radio transmission model during rain, radio transmission model when obtaining accurately overcast and rainy, and CW data are a group test data of experiment, no
It can predict the propagation model in the case of different weather.For the 5G epoch, influence of the rainy weather to high-frequency signal is especially not
It can ignore, so MR data correcting methods also provide effective means for the propagation model amendment of 5G networks and prediction.
It will be appreciated by those skilled in the art that in computer-related technologies field, software, hardware and soft can be passed through
The mode of part and combination of hardware embodies the above method in the product.Those skilled in the art are easy to based on disclosed above
Method generates a kind of device of the amendment radio transmission model based on MR data.
<The device of amendment radio transmission model based on MR data>
Fig. 2 is the block diagram of the device of the amendment radio transmission model provided in an embodiment of the present invention based on MR data.
The device 300 of amendment radio transmission model based on MR data includes processor 3010, memory 3020, interface dress
Put 3030, communication device 3040, display device 3050, input unit 3060, loud speaker 3070, microphone 3080, etc..
Processor 3010 is such as can be central processor CPU, Micro-processor MCV.Memory 3020 is for example including ROM
The nonvolatile memory etc. of (read-only memory), RAM (random access memory), hard disk.Interface arrangement 3030 is for example
Including USB interface, earphone interface etc..Communication device 3040 can for example carry out remote radio communication, such as with GSM/GPRS
Function.Display device 3050 is, for example, liquid crystal display, touch display screen etc..Input unit 3060 can for example include touching
Screen, keyboard etc..User can pass through 3080 input/output voice messaging of loud speaker 3070 and microphone.
Memory 3020 is realized following for storing computer program, when the computer program is performed by processor 3010
Step：
The MR data of target area are obtained, at least contain following information in the MR data：RSRP values, geographical location letter
Breath, donor cell information and band information；
The MR data of the target area are pre-processed, including：
Grid division is carried out to the target area；For any grid, MR is counted respectively according to different donor cells
The quantity of data only retains MR data of the quantity more than or equal to the donor cell of preset amount threshold of MR data；
The MR data of Exception Filter, any or combination included the following steps：
The distance between filtering geographic position base station corresponding with donor cell is more than the MR data of the first distance threshold；
The distance between filtering geographic position base station corresponding with donor cell is less than the MR data of second distance threshold value；
Filter the MR data of non-main beam direction；
The filtering donor cell MR data inconsistent with the donor cell gone out according to geographical position prediction；
Radio transmission model is modified with pretreated MR data.
In another embodiment, pre-process can be further comprising the steps of for the MR data to target area：
Calculate the average value of the RSRP values of the MR data for belonging to same donor cell in same geographical location, and by the geographical location
The RSRP values of each MR data of the donor cell are modified to the average value.
In another embodiment, the length of side of the grid is less than or equal to 40 times of wavelength, and the amount threshold is more than etc.
In 30.
In another embodiment, first distance threshold is twice of station spacing；The second distance threshold value isTimes station spacing, above-mentioned first distance threshold and second distance threshold value can also be by being manually set concrete numerical value.
In another embodiment, it is described to be included the following steps according to geographical position prediction donor cell：Transmitter is made to cover
Lid horizon prediction obtains the coverage Prediction figure of transmitter；Inquiry covers the transmitter in the geographical location of the MR data, institute
The prediction donor cell for stating MR data is the cell belonging to the transmitter in the geographical location for covering the MR data.
In another embodiment, report cycle information is also contained in the MR data；It is described to the target area
MR data are pre-processed, and are further included：Screen the MR data that report cycle is 120ms-1024ms.
It will be appreciated by those skilled in the art that although multiple devices are shown in FIG. 2, the embodiment of the present invention
Device can only relate to partial devices therein, can also cover other devices.Technical staff can be according to presently disclosed
Conceptual design instructs, and instructs how control processor carries out operation to belong to techniques well known, therefore is not described in detail herein.
The method of the aforementioned amendment radio transmission model based on MR data has absolutely proved various aspects of the invention,
The embodiment of the device of amendment radio transmission model based on MR data may refer to the related content of preceding method, aforementioned side
The content of method can be used for illustrating the scheme of the device of the amendment radio transmission model based on MR data.
The present invention can be system, method and/or computer program product.Computer program product can include computer
Readable storage medium storing program for executing, containing for make processor realize various aspects of the invention computer-readable program instructions.
Computer readable storage medium can keep and store to perform the tangible of the instruction that uses of equipment by instruction
Equipment.Computer readable storage medium for example can be-- but be not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electromagnetism storage device, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes：Portable computer diskette, random access memory (RAM), read-only is deposited hard disk
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static RAM (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with the punch card of instruction or groove internal projection structure and above-mentioned any appropriate combination.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted instantaneous signal in itself, and the electromagnetic wave of such as radio wave or other Free propagations leads to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment downloads to outer computer or outer by network, such as internet, LAN, wide area network and/or wireless network
Portion's storage device.Network can include copper transmission cable, optical fiber transmission, wireless transmission, router, fire wall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
For perform the computer program instructions that operate of the present invention can be assembly instruction, instruction set architecture (ISA) instruction,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
Arbitrarily combine the source code or object code write, programming language include object-oriented programming language-such as Smalltalk,
Procedural programming languages-such as " C " language or similar programming language of C++ etc. and routine.Computer-readable program refers to
Order can be performed fully, partly performed on the user computer, the software package independent as one on the user computer
Perform, part on the user computer part on the remote computer perform or completely on a remote computer or server
It performs.In situations involving remote computers, remote computer can pass through the network of any kind-include LAN
(LAN) or wide area network (WAN)-be connected to subscriber computer or, it may be connected to outer computer (such as utilizes internet
Service provider passes through Internet connection).In some embodiments, believe by using the state of computer-readable program instructions
Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic
Array (PLA), which can perform computer-readable program instructions, so as to fulfill various aspects of the invention.
Referring herein to according to the method for the embodiment of the present invention, the flow chart of device (system) and computer program product and/
Or block diagram describes various aspects of the invention.It should be appreciated that each box and flow chart of flow chart and/or block diagram and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to all-purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so as to produce a kind of machine so that these instructions are passing through computer or other programmable datas
When the processor of processing unit performs, produce and realize work(specified in one or more of flow chart and/or block diagram box
The device of energy/action.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, so as to be stored with instruction
Computer-readable medium then includes a manufacture, including realizing in one or more of flow chart and/or block diagram box
The instruction of the various aspects of defined function/action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment so that series of operation steps are performed on computer, other programmable data processing units or miscellaneous equipment, with production
Raw computer implemented process, so that performed on computer, other programmable data processing units or miscellaneous equipment
Function/action specified in one or more of flow chart and/or block diagram box is realized in instruction.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the present invention
Architectural framework in the cards, function and the operation of sequence product.In this regard, each box in flow chart or block diagram can generation
One module of table, program segment or a part for instruction, module, program segment or a part for instruction include one or more for real
The executable instruction of logic function as defined in existing.In some implementations as replacements, the function of being marked in box can also
To be different from the sequence marked in attached drawing generation.For example, two continuous boxes can essentially perform substantially in parallel, it
Can also perform in the opposite order sometimes, this is depended on the functions involved.It is also noted that block diagram and/or flow
The combination of each box in figure and the box in block diagram and/or flow chart can use function or action as defined in performing
Dedicated hardware based system is realized or can be realized with the combination of specialized hardware and computer instruction.For this
It is well known that, realized for field technology personnel by hardware mode, realized by software mode and pass through software and hardware
With reference to mode realize it is all of equal value.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
Best explain each embodiment principle, practical application or to the technological improvement in market or make the art its
Its those of ordinary skill is understood that each embodiment disclosed herein.The scope of the present invention is defined by the appended claims.
Claims (12)
- A kind of 1. method of the amendment radio transmission model based on MR data, which is characterized in that include the following steps：The MR data of target area are obtained, at least contain following information in the MR data：RSRP values, are applied geographical location information Main plot information and band information；The MR data of the target area are pre-processed, including：Grid division is carried out to the target area；For any grid, MR data are counted respectively according to different donor cells Quantity, only retain MR data quantity be more than or equal to preset amount threshold donor cell MR data；The MR data of Exception Filter, any or combination included the following steps：The distance between filtering geographic position base station corresponding with donor cell is more than the MR data of the first distance threshold；The distance between filtering geographic position base station corresponding with donor cell is less than the MR data of second distance threshold value；Filter the MR data of non-main beam direction；Filter the donor cell MR data inconsistent with the prediction donor cell in the geographical location；Radio transmission model is modified with pretreated MR data.
- 2. according to the method described in claim 1, it is characterized in that, the pretreatment is further comprising the steps of：Calculate the average value of the RSRP values of the MR data for belonging to same donor cell in same geographical location, and by the geography position The RSRP values of each MR data for the donor cell put are modified to the average value.
- 3. according to the method described in claim 1, it is characterized in that, the length of side of the grid is less than or equal to 40 times of wavelength, institute Amount threshold is stated more than or equal to 30.
- 4. according to the method described in claim 1, it is characterized in that, first distance threshold is twice of station spacing；Described Two distance thresholds areTimes station spacing.
- 5. according to the method described in claim 1, it is characterized in that, the prediction donor cell is through the following steps that determine：Transmitter coverage Prediction is done, obtains the prediction coverage area of each transmitter；Inquiry covers the transmitter in the geographical location of the MR data, and the prediction donor cell of the MR data is covers the MR numbers According to geographical location transmitter belonging to cell.
- 6. according to the method described in claim 1, it is characterized in that, also contain report cycle information in the MR data；It is described The MR data of the target area are pre-processed, are further included：Screen the MR data that report cycle is 120ms-1024ms.
- 7. a kind of device of the amendment radio transmission model based on MR data, including memory and processor；The memory is used In storage computer program, the computer program realizes following steps when being executed by processor：The MR data of target area are obtained, at least contain following information in the MR data：RSRP values, are applied geographical location information Main plot information and band information；The MR data of the target area are pre-processed, including：Grid division is carried out to the target area；For any grid, MR data are counted respectively according to different donor cells Quantity, only retain MR data quantity be more than or equal to preset amount threshold donor cell MR data；The MR data of Exception Filter, any or combination included the following steps：The distance between filtering geographic position base station corresponding with donor cell is more than the MR data of the first distance threshold；The distance between filtering geographic position base station corresponding with donor cell is less than the MR data of second distance threshold value；Filter the MR data of non-main beam direction；Filter the donor cell MR data inconsistent with the prediction donor cell in the geographical location；Radio transmission model is modified with pretreated MR data.
- 8. device according to claim 7, which is characterized in that the pretreatment is further comprising the steps of：Calculate the average value of the RSRP values of the MR data for belonging to same donor cell in same geographical location, and by the geography position The RSRP values of each MR data for the donor cell put are modified to the average value.
- 9. device according to claim 7, which is characterized in that the length of side of the grid is less than or equal to 40 times of wavelength, institute Amount threshold is stated more than or equal to 30.
- 10. the method according to the description of claim 7 is characterized in that first distance threshold is twice of station spacing；Described Two distance thresholds areTimes station spacing.
- 11. device according to claim 7, which is characterized in that the prediction donor cell is through the following steps that determine：Transmitter coverage Prediction is done, obtains the prediction coverage area of each transmitter；Inquiry covers the transmitter in the geographical location of the MR data, and the prediction donor cell of the MR data is covers the MR numbers According to geographical location transmitter belonging to cell.
- 12. device according to claim 7, which is characterized in that also contain report cycle information in the MR data；It is described The MR data of the target area are pre-processed, are further included：Screen the MR data that report cycle is 120ms-1024ms.
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