CN101146312A - An automatic selection method for radio transmission model - Google Patents

Abstract

The invention discloses a method for automatic selection of wireless transmission modes, which comprises: (a) setting up a wireless transmission mode databank storing the known wireless transmission modes therein; (b) determining transmission environment characteristic parameters Ai of the known wireless transmission modes in the wireless transmission mode databank, wherein i is the labeling number of the known wireless transmission mode; (c) determining a transmission environment characteristic parameter B of a target zone; (d) determining a difference value between B and each Ai determined in the step (b), selecting the minimal difference value to compare with a threshold value, if the minimal difference value is smaller than the threshold value, selecting the wireless transmission mode, in correspondence to the minimal difference value, as the wireless transmission mode of the target zone. The invention can increase the accuracy and efficiency of the selection of the wireless transmission modes and ensure the consistency of selection results.

Description

A kind of automatic selecting method of radio transmission model

Technical field

The present invention relates to the cellular radio Communication technology, relate in particular to a kind of method that the radio transmission model of wireless communication system is selected automatically.

Background technology

Radio transmission model is the important evidence of predicted path loss in the wireless communication network planning, and the accuracy of radio transmission model has very big influence for the quality of the network planning.

When a new network being carried out the topological structure design, need the covering radius of each sub-district of prediction, and one of key factor of radio transmission model impact prediction accuracy just.Therefore, in order to obtain satisfied planning effect, at first must obtain the radio transmission model of conform with target region propagation characteristic.

Have two kinds of means to obtain the radio transmission model of conform with target region propagation characteristic at present, a kind of is to obtain the radio transmission model accuracy height that this method obtains, but labor intensive physical resources and financial resources by the mode of setting up transmitter and gathering relevant test data; Another is exactly to select suitable radio transmission model from existing radio transmission model.If accumulated relatively abundanter model, set up model library, the second way can be obtained suitable radio transmission model under the condition of financial resources that uses manpower and material resources sparingly so.

In the prior art, mainly be the experience that relies on the planning personnel, from numerous radio transmission models, select the radio transmission model of conform with target region propagation characteristic by subjective judgement.This mode requires height to planning personnel's specialty, if the planning personnel lacks experience, then can cause radio transmission model to select mistake, thereby influence final program results, so the selection accuracy of radio transmission model is too low.And this manual method lacks unified standard between the planning personnel, causes the consistency of selection result to be guaranteed.Also have, the efficiency of selection of this manual method is too low.

Summary of the invention

In view of this, technical problem to be solved by this invention is to provide a kind of automatic selecting method of radio transmission model, to improve accuracy rate and the efficient that radio transmission model is selected, guarantees the consistency of selection result.

In order to realize the foregoing invention purpose, main technical schemes of the present invention is:

A kind of automatic selecting method of radio transmission model, this method comprises:

A, the radio transmission model storehouse is set, described model library is wherein stored existing radio transmission model;

B, determine the communication environments characteristic parameter A of the existing wireless propagation model in the described radio transmission model storehouse _i, wherein i represents the label of existing wireless propagation model;

C, determine the communication environments characteristic parameter B of target area;

D, determine B and determined described each A of step b _iBetween difference, choose wherein minimal difference and a threshold value relatively, if this minimal difference, is then selected the radio transmission model of the radio transmission model of this minimal difference correspondence as described target area smaller or equal to described threshold value.

Preferably, among the described step b, determine the communication environments characteristic parameter A of an existing wireless propagation model _iConcrete grammar as follows:

B1, obtain this existing wireless propagation model test data set the electronic three-dimensional map of corresponding test zone; Obtain the type of ground objects sum M of described test zone;

Total number of test points of b2, the described test zone of statistics _i

B3, determine each test point in the described test zone corresponding type of ground objects in the electronic three-dimensional map of this test zone;

Number of test points N in b4, the described test zone of statistics on each type of ground objects _Ic, the c in the subscript represents c kind type of ground objects;

B5, determine the propagation characteristic parameter A of described existing wireless propagation model _iFor:

$A_i=({\mathrm{Clu}}_{i1},{\mathrm{Clu}}_{i2},\·\·\·{\mathrm{Clu}}_{\mathrm{iM}})=(\frac{N_{i1}}{N_i}\×100\%,\frac{N_{i2}}{N_i}\×100\%,\·\·\·\frac{N_{\mathrm{iM}}}{N_i}\×100\%);$

Wherein, C _LuNumber of test points N for a certain type of ground objects _IcWith total number of test points N _iPercentage, the subscript of Clu represents that the sequence identifier of this type of ground objects, M represent the type of ground objects sum of this test zone.

Preferably, among the described step b, after having determined the communication environments characteristic parameter of all existing wireless propagation models, further comprise: divide into groups according to the communication environments characteristic parameter of described electronic three-dimensional map to described existing wireless propagation model, the communication environments characteristic parameter that will have identical type of ground objects is classified as one group.

Preferably, in the described steps d, described definite B and A _iBetween difference be specially: select the grouping of the communication environments characteristic parameter identical, determine the communication environments characteristic parameter A in this grouping with the type of ground objects of described target area _iDifference with described B.

Preferably, described step c is specially:

C1, obtain the electronic three-dimensional map of target area; And the total m of the type of ground objects that obtains this target area;

The total N of Bin lattice number of described each type of ground objects in c2, the described target area of statistics _j, and this target area in total Bin lattice count N, wherein subscript j is used to represent i kind type of ground objects more than or equal to 1, smaller or equal to m;

C3, determine that the communication environments characteristic parameter B in the described target area is:

$B=({\mathrm{<figure-callout\; id="1"\; label="Clu"\; filenames="A20071017601800151.png"\; state="\{\{state\}\}">Clu</figure-callout>}}_1,{\mathrm{Clu}}_2,\&CenterDot;\&CenterDot;\&CenterDot;{\mathrm{Clu}}_m)=(\frac{N_1}{N}\&times;100\%,\frac{N_2}{N}\&times;100\%,\&CenterDot;\&CenterDot;\&CenterDot;\frac{N_m}{N}100\%)$

Wherein, Clu is the Bin lattice sum N of a certain type of ground objects _jCount the percentage of N with total Bin lattice of target area, the subscript of Clu represents that the sequence identifier of this type of ground objects, m represent the type of ground objects sum of this test zone.

Preferably, described step c2 specifically comprises:

C21, obtain all types of ground objects in the described target area, determine the Bin lattice sum N of each type of ground objects _j

C22, with the addition of the Bin lattice of each type of ground objects in described target area sum, obtain the total Bin lattice number in this target area.

Preferably, described method further is divided into more than one section with described target area according to communication environments, and each section is carried out described step c respectively to steps d as a target area.

Preferably, in the steps d, described B and A _iBetween difference Delta _iAccording to following formula:

${\mathrm{Delta}}_i=|B-A_i|=\left(\sqrt{\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{({\mathrm{Clu}}_j-{\mathrm{Clu}}_{\mathrm{ij}})}^2}\right)$ Calculate and obtain.

With respect to prior art, because the present invention sets in advance the existing radio transmission model of storage, by comparing the communication environments characteristic parameter A of existing wireless propagation model _iAnd the communication environments characteristic parameter B of target area selects to be applicable to the radio transmission model of target area, therefore this bright method can make things convenient for computer to carry out, can realize automation ground selection radio transmission model fully, be not subjected to the interference of artificial selection deviation, not only improved the accuracy that radio transmission model is selected, but also kept Model Selection result's consistency, promptly can not cause the difference of selection result because of human factor.And, because therefore method of the present invention can improve the efficient that radio transmission model is selected by computer automatic execution.In a word, by the present invention, can judge rapidly in a large amount of existing models whether suitable radio transmission model is arranged, and can select suitable radio transmission model accurately.

Description of drawings

Fig. 1 is the main flow chart of the method for the invention;

Fig. 2 obtains the flow chart of the communication environments characteristic parameter of different radio propagation model correspondence for the present invention;

Fig. 3 is the particular flow sheet of the communication environments characteristic parameter of statistical computation of the present invention target area;

Fig. 4 is determined described each A of described calculating B and step 12 _iBetween difference Delta and find minimal difference Delta _MinParticular flow sheet.

Embodiment

Below by specific embodiments and the drawings the present invention is described in further details.

Fig. 1 is the main flow chart of the method for the invention.Referring to Fig. 1, this flow process mainly comprises:

Step 11, the radio transmission model storehouse is set, wherein stores existing radio transmission model.

Step 12, the test data of existing wireless propagation model correspondences all in the radio transmission model storehouse is added up, obtain the communication environments characteristic parameter A of different radio propagation model correspondence _iWherein i represents the label of this existing wireless propagation model.

Step 13, statistics are also calculated the communication environments characteristic parameter B of target area.

Step 14, calculating B and step 12 determined described each A _iBetween difference Delta, and find minimum value Delta _Min

Step 15, threshold T is set.This threshold value can set in advance, and also can specifically be provided with when selecting radio transmission model.

Step 16～step 18, with Delta _MinCompare with described threshold T, if Delta _Min＜=T then selects Delta _MinCorresponding radio transmission model is as the radio transmission model of described target area, if Delta _MinT, then judge in the described radio transmission model storehouse not have suitable radio transmission model.

As another kind of optimal way of the present invention, the target area can be divided into several sections according to communication environments, at each section, it can be carried out above-mentioned steps 13 respectively to step 18 as different target areas, thereby for selecting radio transmission model in each section.

In the described step 12, each radio transmission model all corresponding one group of test data, the test data that is to say a radio transmission model is formed a test data set, at least can comprise a test data in the test data set, for existing radio transmission model, its corresponding test data is determined, can be arranged in the described radio transmission model storehouse.Described herein label i also can the corresponding test data set of representing i radio transmission model.

Described step 12 mainly is existing radio transmission model to be carried out data preparation handle, and obtains the communication environments characteristic parameter of each model.This step only need be operated once, and later on each radio transmission model is selected directly to use the determined parameter result of this step and got final product; If there is new radio transmission model to add described radio transmission model storehouse, need be according to the communication environments characteristic parameter and the record of method statistic this radio transmission model identical with this step.

Fig. 2 is for obtaining the flow chart of the communication environments characteristic parameter of different radio propagation model correspondence in the step 12.Referring to Fig. 2, this flow process comprises:

Step 21, obtain the electronic three-dimensional map of the corresponding test zone of i test data set.This electronic three-dimensional map should comprise landform and terrestrial object information; And obtain type of ground objects sum M in the described test zone.

Step 22, calculate i the communication environments characteristic parameter that test data set comprises, specifically may further comprise the steps 221 to step 224:

Step 221, add up the total number of test points N in this test zone _i

Step 222, travel through all numbers of test points, determine each test point corresponding type of ground objects on electronic three-dimensional map according to longitude and latitude.

Test point sum N on step 223, the different types of ground objects of statistics _Ic, calculate the percentage Clu that test point sum on the different types of ground objects accounts for total number of test points in this test zone _IcSpecifically referring to formula (1):

${\mathrm{Clu}}_{\mathrm{ic}}=\frac{N_{\mathrm{ic}}}{N_i}\&times;100\%---\left(1\right)$

In the formula (1), described N _IcBe the test point sum of i test data set (i.e. the test data of i radio transmission model correspondence) on c kind type of ground objects; N _iIt is total number of test points that i test data set comprises.

Step 224, determine the communication environments characteristic parameter A of the corresponding radio transmission model of i test data set _i, promptly calculate and determine according to following formula (2):

$A_i=({\mathrm{<figure-callout\; id="1"\; label="Clu\; i"\; filenames="A20071017601800151.png"\; state="\{\{state\}\}">Clu</figure-callout>}}_i,{\mathrm{Clu}}_{i2},...{\mathrm{Clu}}_{\mathrm{iM}})=(\frac{N_{i1}}{N_i}\&times;100\%,...\frac{N_{\mathrm{iM}}}{N_i}\&times;100\%)---\left(2\right)$

In the formula (2), described M is the type of ground objects sum in the corresponding test zone of described i test data set.

Whether step 23, the test data set of judging the correspondence of each test zone have all been calculated and have been finished, and do not finish if calculate, and then assignment i=i+1 returns above-mentioned steps 21, calculates the communication environments characteristic parameter of next test data set; Otherwise execution in step 24.

Step 24, the communication environments characteristic parameter that will have an identical terrain classification are classified as one group.Specifically comprise: the electronic three-dimensional map that compares the corresponding communication environments characteristic parameter of each existing wireless propagation model, it is the electronic three-dimensional map of the corresponding test zone of test data set of each existing wireless propagation model, communication environments characteristic parameter to described each existing wireless propagation model divides into groups, and the communication environments characteristic parameter that will have identical type of ground objects is classified as one group.Like this, in follow-up step 14, further select the grouping of the communication environments characteristic parameter identical, only determine the communication environments characteristic parameter A in this grouping with the type of ground objects of described target area _iWith the difference of described B, and in step 16, from these differences, select minimal difference to get final product.Processing can further improve treatment effeciency of the present invention like this.

Fig. 3 is the particular flow sheet of the communication environments characteristic parameter of statistical computation target area in the described step 13.Referring to Fig. 3, this flow process comprises:

Step 31, obtain the electronic three-dimensional map of target area; This electronic three-dimensional map should comprise landform and terrestrial object information; Obtain the type of ground objects sum m in this target area simultaneously.

The Bin lattice of described each type of ground objects are counted N in step 32, the statistics target area _i, and this target area in total Bin lattice count N, wherein subscript j is used to represent i kind type of ground objects more than or equal to 1, smaller or equal to m.Described Bin lattice are least unit of electronic three-dimensional map, and the resolution of supposing electronic chart is R, and the area of Bin lattice is exactly R so ²Step 32 specifically may further comprise the steps 321 to step 323:

Step 321, obtain type of ground objects C _i, all Bin lattice in the traversal target area, the record type of ground objects is C _iBin lattice sums N _i

Step 322, obtain the Bin lattice sum of other type of ground objects in the target area according to the method identical with step 321.

Total Bin lattice number in step 323, the calculating target area specifically calculates according to formula (3):

$N=\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{N}_j---\left(3\right)$

Bin lattice sum N in step 33, the calculating target area on the different types of ground objects _jAccount for the percentage Clu of the total Bin lattice number in this target area _jSpecifically calculate according to following formula (4):

${\mathrm{Clu}}_j=\frac{N_j}{N}\&times;100\%---\left(4\right)$

Step 34, obtain communication environments characteristic parameter B in the target area according to following formula (5).

$({\mathrm{<figure-callout\; id="1"\; label="Clu"\; filenames="A20071017601800151.png"\; state="\{\{state\}\}">Clu</figure-callout>}}_1,{\mathrm{Clu}}_2,\&CenterDot;\&CenterDot;\&CenterDot;{\mathrm{Clu}}_m)=(\frac{N_1}{N}\&times;100\%,\frac{N_2}{N}\&times;100\%,\&CenterDot;\&CenterDot;\&CenterDot;\frac{N_m}{N}\&times;100\%)---\left(5\right)$

Fig. 4 is determined described each A of described calculating B and step 12 _iBetween difference Delta and find minimal difference Delta _MinParticular flow sheet.Referring to Fig. 4, this flow process comprises:

Step 41, definite communication environments characteristic parameter group G identical with the target area terrain classification.

Communication environments characteristic parameter A in step 42, the wireless propagation environment characteristic parameter B that calculates the target area and the G group _iBetween difference Delta _iSpecifically determine according to following formula (6):

$\begin{array}{c}{\mathrm{Delta}}_i=|B-A_i|\\ =\left(\sqrt{\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{({\mathrm{Clu}}_j-{\mathrm{Clu}}_{\mathrm{ij}})}^2}\right)\end{array}---\left(6\right)$

In the formula (6), described i represents different radio transmission models; J represents different types of ground objects; M is the type of ground objects sum in the target area.

Step 43, obtain Delta _iMinimum value Delta _Min

Below in conjunction with concrete parameter, be example from existing 100 radio transmission models, to select the radio transmission model of conform with target region, said method is further specified.

Step 51, at first calculate the communication environments characteristic parameter A of existing 100 radio transmission models _i(1≤i≤100).

Step 52, according to different types of ground objects, described 100 communication environments characteristic parameters are divided into two groups, these two groups of characteristic parameters that comprise are respectively 54,46, and are as shown in table 1:

The 1st group	open	greenLand	forest	wet and	urban	suburban
									G101	24.5％	17.67％	7.50％	8.45％	23.10％	18.78％
									G154	44.5％	8.1％	0.0％	0.0％	12.7％	34.7％
The 2nd group	open	Opening- urban	Green- Land	forest	Residen-t ial	meanurban	denseurban	industrial
									G201	0.0％	30.20％	5.25％	0.00％	0.00％	30.60％	33.95％	0.00％
									G246	0.0％	29.60％	0.00％	0.00％	5.43％	26.50％	29.15％	9.32％

Table 1

Step 53, obtain the electronic three-dimensional map of target area, the type of ground objects of supposing this target area is specially open ground (openinurban) in open ground (open), the city, greenery patches (greenland), forest (forest), residential area (residential), general city (meanurban), dense city (denseurban) and industrial area (industrial) 8 classes altogether.

Step 54, the target area is divided into dense city, general city and three sections, suburb according to different communication environments.

The Bin lattice sum N of 8 kinds of different types of ground objects in step 55, the statistics dense city _i

Step 56, statistics obtain in the dense city total Bin lattice and count N=2000, and 8 kinds of different atural object Bin lattice numbers account for the percentage Clu of total Bin lattice number in the computation-intensive city _j:

${\mathrm{Clu}}_j=\frac{N_j}{2000}\&times;100\%(1\&le;j\&le;8)$

Step 56, obtain the wireless propagation environment characteristic parameter B of dense city _Dense=(Clu ₁, Clu ₂..., Clu ₈); Can obtain the communication environments characteristic parameter B in general city, suburb by identical method _Urban, B _SubAs shown in table 2:

The zone	open	Opening- urban	greenLand	forest	residential	meanurban	denseurban	industrial
									Bdense	0.00％	35.90％	0.00％	0.00％	15.80％	10.00％	38.30％	0.00％
Burban	0.00％	17.00％	0.00％	0.00％	9.00％	35.40％	14.00％	24.60％
									Bsub	36.70％	14.60％	13.40％	5.70％	15.00％	0.00％	0.00％	14.60％

Table 2

Step 57, according to the type of ground objects of target area, find the 2nd group of communication environments characteristic parameter that matches.

Step 58, calculating B _DenseAnd the difference between the 2nd group of 46 communication environments characteristic parameter below with G201 data instance in the 2nd group, illustrates the computational methods of difference;

$\mathrm{Delta}=\left(\sqrt{{(35.9-30.2)}^2+{(0-5.25)}^2+{(15.8-0)}^2+{(10-30.6)}^2+{(38.3-33.95)}^2}\right)\%$

$\&ap;27.4\%$

Step 59, count the minimum value Delta of all differences _Min=8.3%, set threshold T=10%, because Delta _Min＜T finds Delta so _MinCorresponding communication environments characteristic parameter G223, promptly No. 23 model is the radio transmission model that satisfies the dense city demand in the 2nd group.

Step 510, in the 2nd group, find and Bur with identical method _Ban, B _SubThe communication environments characteristic parameter of difference minimum is respectively G204 and G241; No. 4, No. 41 radio transmission model is respectively the radio transmission model that satisfies general city and suburb in the 2nd group so.

The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with the people of this technology in the disclosed technical scope of the present invention; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.

Claims (8)

1. the automatic selecting method of a radio transmission model is characterized in that, this method comprises:

A, the radio transmission model storehouse is set, described model library is stored existing radio transmission model;

B, determine the communication environments characteristic parameter A of the existing wireless propagation model in the described radio transmission model storehouse _i, wherein i represents the label of existing wireless propagation model;

C, determine the communication environments characteristic parameter B of target area;

D, determine B and determined described each A of step b _iBetween difference, choose wherein minimal difference and a threshold value relatively, if this minimal difference, is then selected the radio transmission model of the radio transmission model of this minimal difference correspondence as described target area smaller or equal to described threshold value.

2. the automatic selecting method of radio transmission model according to claim 1 is characterized in that, among the described step b, determines the communication environments characteristic parameter A of an existing wireless propagation model _iConcrete grammar as follows:

B1, obtain this existing wireless propagation model test data set the electronic three-dimensional map of corresponding test zone; Obtain the type of ground objects sum M of described test zone;

Total number of test points N of b2, the described test zone of statistics _i

B3, determine each test point in the described test zone corresponding type of ground objects in the electronic three-dimensional map of this test zone;

Number of test points N in b4, the described test zone of statistics on each type of ground objects _Ic, the c in the subscript represents c kind type of ground objects;

B5, determine the propagation characteristic parameter A of described existing wireless propagation model _iFor:

$A_i=({\mathrm{Clu}}_{i1},{\mathrm{Clu}}_{i2},...{\mathrm{Clu}}_{\mathrm{iM}})=(\frac{N_{i1}}{N_i}\&times;100\%,\frac{N_{i2}}{N_i}\&times;100\%,...\frac{N_{\mathrm{iM}}}{N_i}\&times;100\%);$

Wherein, Clu is the number of test points N of a certain type of ground objects _IcWith total number of test points N _iPercentage, the subscript of Clu represents that the sequence identifier of this type of ground objects, M represent the type of ground objects sum of this test zone.

3. the automatic selecting method of radio transmission model according to claim 1, it is characterized in that, among the described step b, after having determined the communication environments characteristic parameter of all existing wireless propagation models, further comprise: divide into groups according to the communication environments characteristic parameter of described electronic three-dimensional map to described existing wireless propagation model, the communication environments characteristic parameter that will have identical type of ground objects is classified as one group.

4. the automatic selecting method of radio transmission model according to claim 3 is characterized in that, in the described steps d, and described definite B and A _iBetween difference be specially: select the grouping of the communication environments characteristic parameter identical, determine the communication environments characteristic parameter A in this grouping with the type of ground objects of described target area _iDifference with described B.

5. the automatic selecting method of radio transmission model according to claim 1 is characterized in that, described step c is specially:

C1, obtain the electronic three-dimensional map of target area; And the total m of the type of ground objects that obtains this target area;

The total N of Bin lattice number of described each type of ground objects in c2, the described target area of statistics _j, and this target area in total Bin lattice count N, wherein subscript j is used to represent j kind type of ground objects more than or equal to 1, smaller or equal to m;

C3, determine that the communication environments characteristic parameter B in the described target area is:

$B=({\mathrm{Clu}}_1,{\mathrm{Clu}}_2,...{\mathrm{Clu}}_m)=(\frac{N_1}{N}\&times;100\%,\frac{N_2}{N}\&times;100\%,...\frac{N_m}{N}\&times;100\%)$

Wherein, Clu is the Bin lattice sum N of a certain type of ground objects _jCount the percentage of N with total Bin lattice of target area, the subscript of Clu represents that the sequence identifier of this type of ground objects, m represent the type of ground objects sum of this test zone.

6. the automatic selecting method of radio transmission model according to claim 5 is characterized in that, described step c2 specifically comprises:

C21, obtain all types of ground objects in the described target area, determine the Bin lattice sum N of each type of ground objects _j

C22, with the addition of the Bin lattice of each type of ground objects in described target area sum, obtain the total Bin lattice number in this target area.

7. the automatic selecting method of radio transmission model according to claim 1, it is characterized in that, described method further is divided into more than one section with described target area according to communication environments, and each section is carried out described step c respectively to steps d as a target area.

8. the automatic selecting method of radio transmission model according to claim 1 is characterized in that,

In the steps d, described B and A _iBetween difference Delta _iAccording to following formula: ${\mathrm{Delta}}_i=|B-A_i|=\left(\sqrt{\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{({\mathrm{Clu}}_j-{\mathrm{Clu}}_{\mathrm{ij}})}^2}\right)$ Calculate and obtain.

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