CN105828342B - Method and device for confirming neighbor relation - Google Patents
Method and device for confirming neighbor relation Download PDFInfo
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Abstract
The invention provides a method for confirming the adjacent cell relation, which comprises the steps of obtaining shadow fading allowance under a multi-cell model and link loss error of a propagation model in a propagation direction; correcting a propagation model according to the shadow fading margin and the link loss error under the multi-cell model; carrying out overall coverage prediction analysis simulation by using the corrected propagation model to obtain the RSRP value of the cell received by each longitude and latitude grid point in the planned area; and processing the RSRP value of the cell received by each longitude and latitude grid point in the planning region, and confirming the adjacent cell relation among the cells. The invention also provides a device for confirming the adjacent cell relation. By means of the method and the device, the accuracy of the confirmed neighbor relation can be improved.
Description
Technical Field
The present invention relates to the field of wireless mobile communications, and in particular, to a method and an apparatus for determining a neighboring cell relationship.
Background
Currently, there are several methods for confirming the relationship between neighboring cells:
the method comprises the following steps: on the basis of a google map or a planet format map and propagation prediction, the signal intensity of each cell received by each map grid point in the planning region is obtained through simulation, and a neighbor cell list is calculated and added according to the signal intensity distribution in the planning region.
The method 2 comprises the steps of artificially setting the field intensity prediction distance to be 3 kilometers, 5 kilometers and the like according to different propagation models, taking a cell as a center, taking the cell as a candidate neighbor cell within the field intensity prediction distance range with the radius as the radius, and further screening the neighbor cells according to factors such as the coverage overlapping area of antenna horizontal direction angle sectors of a main cell and the candidate neighbor cell obtained through calculation and the like.
And 3, determining the priority of the neighbor cell according to the relative value of the signal intensity of the local cell and the candidate neighbor cell in the sweep frequency or MR data obtained by actual measurement, and screening the added neighbor cell for the cell newly added to the network.
However, the above three existing methods all have disadvantages: (1) the accuracy of the method 1 strongly depends on the accuracy of the electronic map, the propagation model and the transceiving antenna model, and a large error exists between a simulation result and an actual measurement result; (2) the method 2 adds a plurality of artificial subjective factors, and the transmission condition of the actual network cannot be objectively simulated; (3) the method 3 obtains the test data according to the planned drive test circuit, which can not avoid the defect of incomplete drive test data, and the scheme only aims at the cell newly added into the network to determine the neighbor relation for the cell, but is not suitable for determining the neighbor relation of the existing cell in the network.
Disclosure of Invention
The invention aims to provide a method and a device for confirming a neighboring cell relation, which can improve the accuracy of the finally confirmed neighboring cell relation.
In order to achieve the purpose of the invention, the embodiment of the invention provides a method for confirming the adjacent cell relation, which comprises the steps of obtaining shadow fading allowance under a multi-cell model and link loss error of a propagation model in a propagation direction; correcting a propagation model according to the shadow fading margin and the link loss error under the multi-cell model; carrying out overall coverage prediction analysis simulation by using the corrected propagation model to obtain the RSRP value of the cell received by each longitude and latitude grid point in the planned area; and processing the RSRP value of the cell received by each longitude and latitude grid point in the planning region, and confirming the adjacent cell relation among the cells.
Preferably, the obtaining the shadow fading margin under the multi-cell model includes:
estimating a shadow fading margin σ under the multi-cell model using equation 5:
wherein the content of the first and second substances,
the probability of area coverage under the condition of a single cell is obtained; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells; n is a propagation environment parameter.
Preferably, the obtaining of the link loss error of the propagation model in the propagation direction includes:
and inquiring an error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
Preferably, the method for confirming a neighboring cell relation further includes:
preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area, and confirming the initial adjacent cell relation among the cells;
and combining the initial adjacent region relation and the adjacent region relation to obtain a final adjacent region relation.
Preferably, the preprocessing the measured data to obtain an RSRP value of the cell received by each longitude and latitude position point in the planned area includes:
acquiring an RSRP value of a cell received by each longitude and latitude position point in a planned area;
when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N, and N is more than or equal to 2, the RSRP value of the cell is reset; the relocation method is as follows:
when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point;
and when N is less than 20, sorting the N RSRP values from large to small or from small to large, taking a median value as the RSRP value of the cell received by the longitude and latitude position point, specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point, and when N is an even number, selecting an average value of the two middle RSRP values as the RSRP value of the cell received by the longitude and latitude position point.
The embodiment of the invention also provides a device for confirming the adjacent cell relation, which comprises a first obtaining module, a second obtaining module and a third obtaining module, wherein the first obtaining module is used for obtaining the shadow fading allowance under the multi-cell model and the link loss error of the propagation model in the propagation direction; the correcting module is used for correcting the propagation model according to the shadow fading allowance and the link loss error under the multi-cell model; the simulation module is used for carrying out overall coverage prediction analysis simulation by using the corrected propagation model and acquiring the RSRP value of the cell received by each longitude and latitude grid point in the planning area; and the processing module is used for processing the RSRP value of the cell received by each longitude and latitude grid point in the planning area and confirming the adjacent cell relation among the cells.
Preferably, the first obtaining module includes:
an estimating module, configured to estimate a shadow fading margin σ under the multi-cell model by using formula 5:
equation 5;
wherein the content of the first and second substances,the probability of area coverage under the condition of a single cell is obtained; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells; n is a propagation environment parameter.
Preferably, the first obtaining module further includes:
and the query module is used for querying the error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
Preferably, the apparatus for confirming a neighboring cell relationship further includes:
the preprocessing module is used for preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area and confirm the initial adjacent cell relation among the cells;
and the merging module is used for merging the initial adjacent region relation and the adjacent region relation to obtain the final adjacent region relation.
Preferably, the preprocessing module comprises:
the second acquisition module is used for acquiring the RSRP value of the cell received by each longitude and latitude position point in the planned area;
the relocation module is used for relocating the RSRP value of the cell when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N and N is more than or equal to 2; the relocation method is as follows:
when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point;
and when N is less than 20, sorting the N RSRP values from large to small or from small to large, taking a median value as the RSRP value of the cell received by the longitude and latitude position point, specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point, and when N is an even number, selecting an average value of the two middle RSRP values as the RSRP value of the cell received by the longitude and latitude position point.
By the technical scheme, the technical effects of the embodiment of the invention are as follows:
in the method and the device for confirming the neighboring cell relation, provided by the embodiment of the invention, the propagation model is corrected by fully utilizing the shadow fading allowance under the multi-cell model and the link loss error of the propagation model in the propagation direction, and then the propagation model is subjected to overall coverage prediction analysis simulation according to the corrected propagation model, so that the RSRP value of the cell received by each longitude and latitude grid point in the planned area is closer to the actually measured data, and the finally confirmed neighboring cell relation is more accurate.
Meanwhile, the method and the device for confirming the adjacent cell relation avoid the influence of human subjective factors, fully apply the measured data, obtain the result by quantitative calculation, and have good effect of reflecting objectively and practically.
Drawings
Fig. 1 is a block diagram illustrating a method for confirming a neighbor relation according to an embodiment of the present invention.
Fig. 2 shows a structure diagram of a regular cell.
FIG. 3 is a diagram showing the connection line between the latitude and longitude grid point i and the cell Cel l [ m ] in the map and the angle Alpha in the east direction.
Fig. 4 is a diagram illustrating a fourier series fit error-angle function curve of a cell.
Figure 5 shows a diagram of RSRP values received by one latitude and longitude grid point for a plurality of cells.
Fig. 6 is a flowchart illustrating a method for confirming a neighboring cell relation according to another embodiment of the present invention.
Fig. 7 is a block diagram of an apparatus for confirming a neighbor relation according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following detailed description of the embodiments is provided with reference to the accompanying drawings.
The embodiment of the present invention provides a method for confirming a neighboring cell relation, which is mainly based on a calibration propagation model, and as shown in fig. 1, the method includes:
step S101: obtaining shadow fading allowance under a multi-cell model and a link loss error of a propagation model in a propagation direction;
step S102: correcting a propagation model according to the shadow fading margin and the link loss error under the multi-cell model;
step S103: carrying out overall coverage prediction analysis simulation by using the corrected propagation model to obtain the RSRP value of the cell received by each longitude and latitude grid point in the planned area;
step S104: and processing the RSRP value of the cell received by each longitude and latitude grid point in the planning region, and confirming the adjacent cell relation among the cells.
The method for confirming the neighboring cell relation of the specific embodiment of the invention corrects the propagation model by utilizing the shadow fading allowance under the multi-cell model and the link loss error of the propagation model in the propagation direction on the basis of carrying out CW calibration on the propagation model, and then carries out integral coverage prediction analysis simulation by utilizing the corrected propagation model to obtain the RSRP value of the cell received by each longitude and latitude grid point in the planned area so as to confirm the neighboring cell relation among the cells; because the propagation model is corrected more accurately, the error of the simulation data is reduced, and the confirmed adjacent cell relation is more accurate.
For the estimation of the shadow fading margin, the conventional method is to find the shadow fading margin of the cell according to the area coverage probability under the condition of a single cell. However, for a cellular network, a terminal receives signals of at least 2-3 stronger cells at the cell edge at the same time, so theoretically, no coverage is caused only when signals of a plurality of cells fade to be below the requirement of the receiving field strength at the same time, and thus, the probability of area coverage is reduced, and therefore, the determination of the shadow fading margin should consider the multi-cell situation.
In addition, from the angle of accuracy of constructing a mathematical model, the multi-cell should be considered in the calculation of the shadow fading margin, and because the probability that a plurality of cells cannot cover at the same time is greatly reduced for a certain specific area, the coverage probability of the area is improved, when the shadow fading margin under the multi-cell model is deduced, the area of the probability that the junctions of the cells cannot cover can be deduced from the worst condition, and the area accounts for the total area of the plurality of cells.
The estimation of the shadow fading margin under the multi-cell model is described below. For convenience of explanation, the structure diagram of the regular cell shown in fig. 2 is taken as an example.
In fig. 2, the circle in the middle represents the primary cell, wherein the area covered by the black area is the inside of the primary cell, the remaining circle of the outline is the edge of the primary cell, and the radius of the primary cell is R1The black main region has a radius of R2The ratio of the area of the whole main cell occupied by the interior of the main cell is
And the proportion of the main cell edge occupying the whole main cell area is
For the inside of the primary cell, calculating the area coverage probability of the primary cell, which is suitable for the area coverage probability under the condition of a single cell:
where Erf is the complementary error function; a is related to a propagation environment, a is-0.25 under the Urban-Macro condition, and a needs to be calculated in a large number under various environments;
n is a propagation environment parameter, n is 2 under the condition of free space, and sigma is a shadow fading margin. It should be noted that the formula 1 is an existing calculation formula, and can be referred to section 3.9 of chapter 3 of wireless communication basic principles and applications, written by theodes.
For the edge area of the main cell, all the edge areas of the main cell can be covered by the signals of three neighboring cells, and the strength distances are the same, and for any one of the neighboring cells, the probability Pr (p (d) < γ) that the received signal p (d) is lower than the threshold γ is:
the probability that three neighboring cells can not cover the edge region of the primary cell at the same time is and the probability that at least one neighboring cell can cover the edge region of the primary cell is
By combining the consideration of the above multi-cell factors, the area coverage probability of the whole main cell is as follows:
under engineering conditions, it is generally considered that 5% is the cell edge percentage, i.e. in the above equation 3
So equation 3 above is:
formula 4;
deducing any Cell [ i ] under the multi-Cell model according to the deduction process]Probability of area coverage Pi,total：
wherein m isiIs Cell [ i ]]The number of adjacent cells.
For each Cell, there is an edge coverage probability indicator and an area coverage probability indicator, such as Cell [ i ], with an edge coverage probability of 70% and an area coverage probability of 95%; according to the formula 5, and the edge coverage probability index and the area coverage probability index of each cell, the shadow fading margin σ under the multi-cell model can be solved and estimated reversely.
That is to say, in an embodiment of the present invention, the obtaining the shadow fading margin under the multi-cell model includes:
estimating a shadow fading margin σ under the multi-cell model using equation 5:
wherein the content of the first and second substances,
for area coverage in single cell conditionsA probability of capping; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells; n is a propagation environment parameter.
Thus, the propagation model can be corrected more accurately by the shadow fading margin σ under the multi-cell model.
For the propagation model, even though the CW correction is carried out, the simulation data obtained by using the CW correction still has an error with the measured data, which is caused by the calculation method of the least square method, and in order to further reduce the error, the invention compensates the error into the link loss of the propagation model in the propagation direction.
Specifically, in an embodiment of the present invention, the obtaining a link loss error of the propagation model in the propagation direction includes:
and inquiring an error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
It should be noted that each cell has such an error-angle function curve subjected to fourier series fitting, and when a link loss error of the propagation model in the propagation direction needs to be obtained, the error-angle function curve subjected to fourier series fitting is queried to obtain the link loss error.
Wherein, the error-angle function curve is obtained by the following method:
as shown in fig. 3, the diagram is a schematic diagram of an angle Alpha between a connection line of a longitude and latitude grid point i and a Cell [ m ] in a map and an east-oriented direction, and the east-oriented direction is selected because the horizontal direction angle of an antenna in a plurality of base station reference tables is based on the east-oriented direction, which also conforms to an intuitive plane rectangular coordinate system, but the invention does not limit the same.
In the method for obtaining the Error-angle function curve, the difference value between the measured data RSRP _ Real and the simulation data RSRP _ Simulant of the ith longitude and latitude grid point LL [ i ] (i is more than or equal to 0 and less than or equal to K-1, K is the total number of the longitude and latitude grid points) belonging to the Cell Cell [ m ] (m is more than or equal to 0 and less than or equal to N-1, N is the total number of the Cell) is equal to Error and equal to RSRP _ Real-RSRP _ Simulant, and the included angle between the connecting line of the longitude and latitude grid point and the longitude and latitude position point of the Cell and the rightful position of the map is Alpha.
Then, recording the included angle between the connecting line of all longitude and latitude position points covered by each cell in the planning area and a certain longitude and latitude grid point and the east position, and the error between the measured data and the simulation data between the two points; wherein, assuming that a cell corresponds to J longitude and latitude location points, for the cell, the Error values form a vector (Error1, Error2, …, Error J) and the corresponding angles also form a vector (Alpha1, Alpha2, …, Alpha J), and the Error values and the corresponding angles form a set of function correspondences, where Alpha i (1 ≦ i ≦ J) is ∈ [0,2 π ], so that the function Error ≦ f (Alpha) of the Error values and the corresponding angles can be considered as a function with a period of 2 π, that is:
error ═ f (Alpha) ═ f (Alpha +2 pi) formula 6;
using a trigonometric function with a period of 2 pi and its higher harmonic term, i.e. fourier series, to perform least square fitting on equation 6 to obtain an analytical solution of the function, where y is Error and x is Alpha:
in practical application, 3 to 5 harmonic terms are taken from formula 7, and then c is obtained by using a least square method0、a0…a4、b0…b4And fitting an error-angle function curve for application. For example, see fig. 4, which is a diagram illustrating a fourier series fit error-angle function curve of a cell, wherein the scatter is an actual error value, and the curve represents a fitted error value.
After obtaining the shadow fading margin and the link loss error of the propagation model in the propagation direction under the multi-cell model, the propagation model can be corrected, specifically, the correction method is as follows:
equation 8;
wherein, Pr(d) Is the received power at distance cell d, i.e., RSRP; ptIs the power of the antenna transmission and,
is the link loss of the propagation model, σ is the shadow fading margin under the multi-cell model, and Error is the link loss Error of the queried propagation model in the propagation direction.
The corrected propagation model is used to perform overall coverage prediction analysis simulation, that is, all the longitude and latitude grid points (also longitude and latitude points, for example, an electronic map with an accuracy of 5 meters or 10 meters) in the planned area are circulated, RSRP values of a plurality of cells are received for each longitude and latitude grid point, as shown in fig. 5, and the RSRP value of the cell received by each longitude and latitude grid point in the planned area is obtained by using the above formula 8.
In the specific embodiment of the present invention, the processing of the RSRP value of the cell received by each longitude and latitude grid point in the planned area and the confirmation of the neighboring cell relationship between the cells adopt a method of calculating the overlapping coverage between the cells, so as to confirm the neighboring cell relationship between the cells.
Specifically, it is assumed that there are K longitude and latitude grid points LL [0], LL [1], …, LL [ K-1] in the planned area, and there are N cells Cell [0], Cell [1], …, Cell [ N-1] in the planned area, and the following operations are performed for each longitude and latitude grid point:
obtaining M RSRP values RSRP [0], RSRP [1], … and RSRP [ M-1] of an ith longitude and latitude grid point LL [ i ], wherein the M RSRP values are respectively attributed to M cells Celli [0], Celli [1], … and Celli [ M-1], i is more than or equal to 0 and less than or equal to K, and M is more than or equal to 0 and less than or equal to N;
respectively comparing the M RSRP values with a home cell reference signal received power Threshold value RSRP _ Threshold1 (which can be set to-110 dbm for example), and if RSRP [ j ] is more than or equal to RSRP _ Threshold1 and j is more than or equal to 0 and less than or equal to M-1, indicating that the cell Celli [ j ] covers the ith longitude and latitude grid point;
selecting two RSRP values of two cells simultaneously covering the ith longitude and latitude grid point as a difference, comparing the difference with a reference signal received power difference Threshold value RSRP _ Threshold2 (which can be set to 3dbm for example) of an adjacent cell with a reference signal received power difference Threshold value RSRP _ Threshold2 of a main cell, if the cell Celli [ j ] and the cell Celli [ n ] both cover the ith longitude and latitude grid point, and meanwhile, the RSRP [ j ] -RSRP [ n ] is more than or equal to RSRP _ Threshold2, and n is more than or equal to 0 and less than or equal to M-1, indicating that a common coverage overlapping point is arranged between the cell Celli [ j ] and the cell [ n ], namely the ith longitude and latitude grid point;
after the operation is carried out on all the longitude and latitude grid points in the planned area, counting the number of coverage points of each cell and the number of public coverage overlapping points between every two cells; and using the statistical result to find the overlapping coverage between every two cells, wherein the overlapping coverage is equal to the number of the public coverage overlapping points/number of the coverage points, for example, the number of the coverage points of the Cell Cell [ m ] is P, the number of the public coverage overlapping points with the Cell Cell [ N ] is Q (0 is less than or equal to m, N is less than or equal to N-1), and the overlapping coverage of the Cell Cell [ m ] and the Cell Cell [ N ] is Q/P;
when the overlapping coverage between two cells is greater than or equal to an overlapping coverage Threshold, confirming the neighboring Cell relationship between the two cells, for example, the overlapping coverage Threshold is overlapRatio _ Threshold (which can be set to 3%), when Q/P is greater than or equal to overlapRatio _ Threshold, the Cell Cel [ m ] and the Cell Cel [ n ] are indicated to be the neighboring Cell relationship, and the Cell [ n ] is set to be a neighboring Cell of the Cell [ m ]; according to the method, the adjacent cell relation among the cells is determined.
Even if the propagation model is corrected, the simulation data obtained according to the propagation model and the actual measurement data are still different, and in order to avoid a large error in the adjacent cell relation obtained according to the corrected propagation model, the specific embodiment of the invention also introduces the processing of the actual measurement data.
Specifically, the method for confirming a neighboring cell relation according to the embodiment of the present invention further includes:
preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area, and confirming the initial adjacent cell relation among the cells;
and combining the initial adjacent region relation and the adjacent region relation to obtain a final adjacent region relation.
After the actual measurement data is obtained, the actual measurement data is preprocessed. Specifically, for a TD-LTE system, a cell to which Reference Signal Received Power (RSRP) of each longitude and latitude position point belongs is determined according to a cell frequency point and a physical cell number (PCID); for the TD-SCDMA system, the cell to which the RSRP of each longitude and latitude position point belongs is determined according to the frequency point and the scrambling code number of the cell, and as one RSRP possibly corresponds to a plurality of cells according to the matching mode, the cell with the nearest Euclidean distance on a map is taken as the cell to which the RSRP measurement value belongs.
Furthermore, multiple RSRP values of the same cell may be received for the same latitude and longitude location point within the planned area, in which case the received RSRP values are re-determined.
That is, when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N and N is greater than or equal to 2, the RSRP value of the cell needs to be reset; the relocation method is as follows:
and when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point. For example, the received N RSRP values are RSRP [0], RSRP [1], …, and RSRP [ N-1], and then the re-determined RSRP value is (RSRP [0] + … + RSRP [ N-1])/N, so as to overcome the influence of small-scale fading and obtain a result of large-scale fading.
When N is less than 20, sorting the N RSRP values from large to small or from small to large, and taking a median value as the RSRP value of the cell received by the longitude and latitude position point; specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point; and when N is an even number, selecting the average value of the two RSRP values in the middle as the RSRP value of the cell received by the longitude and latitude position point.
For example, the N received RSRP values are RSRP [0]]、RSRP[1]、…、RSRP[N-1]And the order from small to large is RSRP [ a0]、RSRP[a1]、…、RSRP[aN-1]When N is odd, the reset RSRP value is RSRP [ a(N-1)/2]When N is an even number, the reset RSRP value is (RSRP [ a ]N/2]+RSRP[a(N-2]/2])/2。
And confirming the initial neighboring cell relationship among the cells according to the RSRP value of the cell received by each longitude and latitude position point in the planned area is also the method for calculating the overlapping coverage between the cells, which is not described herein again.
And after the initial adjacent region relation confirmed according to the measured data and the adjacent region relation confirmed according to the corrected propagation model are obtained, combining the initial adjacent region relation and the corrected propagation model to obtain the final adjacent region relation. The finally obtained adjacent region relation fully considers the actual measurement data and the simulation data, and the propagation model of the obtained simulation data is accurately corrected by means of the actual measurement data, so that the obtained final adjacent region relation is more reliable.
It should be noted that, in the specific embodiment of the present invention, the obtaining of the shadow fading margin under the multi-cell model and the link loss error of the propagation model in the propagation direction may be based on the pre-processing of the actual measurement data, and the result obtained by pre-processing the actual measurement data is used to obtain the shadow fading margin under the multi-cell model and the link loss error of the propagation model in the propagation direction, as shown in fig. 6, the propagation model is corrected, the corrected propagation model is used to perform overall coverage prediction analysis simulation, the RSRP value of each cell received by each longitude and latitude grid point in the planned area is obtained, the neighboring cell relationship between the cells is confirmed, and finally, the neighboring cell relationship is combined with the initial neighboring cell relationship obtained by pre-processing of the actual measurement data, so as to obtain the final neighboring cell relationship.
However, the present invention does not limit the obtaining of the shadow fading margin under the multi-cell model and the link loss error of the propagation model in the propagation direction, and the applied measured data is not limited as long as the result is satisfied.
Referring to fig. 7, an embodiment of the present invention further provides a device for confirming a neighboring cell relationship, which corresponds to the method for confirming a neighboring cell relationship shown in fig. 1, and includes:
the first acquisition module is used for acquiring shadow fading allowance under the multi-cell model and link loss error of the propagation model in the propagation direction;
the correcting module is used for correcting the propagation model according to the shadow fading allowance and the link loss error under the multi-cell model;
the simulation module is used for carrying out overall coverage prediction analysis simulation by using the corrected propagation model and acquiring the RSRP value of the cell received by each longitude and latitude grid point in the planning area;
and the processing module is used for processing the RSRP value of the cell received by each longitude and latitude grid point in the planning area and confirming the adjacent cell relation among the cells.
Wherein the first obtaining module comprises:
an estimating module, configured to estimate a shadow fading margin σ under the multi-cell model by using formula 5:
equation 5;
wherein the content of the first and second substances,
the probability of area coverage under the condition of a single cell is obtained; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells; n is a propagation environment parameter.
The first obtaining module further comprises:
and the query module is used for querying the error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
Even if the propagation model is corrected, the simulation data obtained according to the propagation model and the actual measurement data are still different, and in order to avoid a large error in the adjacent cell relation obtained according to the corrected propagation model, the specific embodiment of the invention also introduces the processing of the actual measurement data.
In an embodiment of the present invention, the apparatus for confirming a neighboring cell relation further includes:
the preprocessing module is used for preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area and confirm the initial adjacent cell relation among the cells;
and the merging module is used for merging the initial adjacent region relation and the adjacent region relation to obtain the final adjacent region relation.
After the actual measurement data is obtained, the actual measurement data is preprocessed. Specifically, the preprocessing module includes:
the second acquisition module is used for acquiring the RSRP value of the cell received by each longitude and latitude position point in the planned area;
the relocation module is used for relocating the RSRP value of the cell when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N and N is more than or equal to 2; the relocation method is as follows:
when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point; for example, the received N RSRP values are RSRP [0], RSRP [1], …, and RSRP [ N-1], and then the re-determined RSRP value is (RSRP [0] + … + RSRP [ N-1])/N, so as to overcome the influence of small-scale fading and obtain a result of large-scale fading.
And when N is less than 20, sorting the N RSRP values from large to small or from small to large, taking a median value as the RSRP value of the cell received by the longitude and latitude position point, specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point, and when N is an even number, selecting an average value of the two middle RSRP values as the RSRP value of the cell received by the longitude and latitude position point.
For example, the N received RSRP values are RSRP [0]]、RSRP[1]、…、RSRP[N-1]And the order from small to large is RSRP [ a0]、RSRP[a1]、…、RSRP[aN-1]When N is odd, the reset RSRP value is RSRP [ a(N-1)/2]When N is an even number, the reset RSRP value is (RSRP [ a ]N/2]+RSRP[a(N-2]/2])/2。
The merging module merges the initial neighboring cell relation confirmed according to the measured data and the neighboring cell relation confirmed according to the corrected propagation model to obtain the final neighboring cell relation. The finally obtained adjacent region relation fully considers the actual measurement data and the simulation data, and the propagation model of the obtained simulation data is accurately corrected by the actual measurement data, so the finally obtained adjacent region relation is more reliable.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A method for confirming a neighboring cell relation, comprising:
obtaining shadow fading allowance under a multi-cell model and a link loss error of a propagation model in a propagation direction;
correcting a propagation model according to the shadow fading margin and the link loss error under the multi-cell model;
carrying out overall coverage prediction analysis simulation by using the corrected propagation model to obtain the RSRP value of the cell received by each longitude and latitude grid point in the planned area;
processing the RSRP value of the cells received by each longitude and latitude grid point in the planning area, and confirming the adjacent cell relation among the cells;
the obtaining of the link loss error of the propagation model in the propagation direction includes:
and inquiring an error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
2. The method of claim 1, wherein the obtaining shadow fading margin under the multi-cell model comprises:
estimating a shadow fading margin σ under the multi-cell model using equation 5:
wherein the content of the first and second substances,
the probability of area coverage under the condition of a single cell is obtained; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells;n is a propagation environment parameter.
3. The method for confirming a neighboring cell relation according to claim 1, further comprising:
preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area, and confirming the initial adjacent cell relation among the cells;
and combining the initial adjacent region relation and the adjacent region relation to obtain a final adjacent region relation.
4. The method of claim 3, wherein the preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planned area comprises:
acquiring an RSRP value of a cell received by each longitude and latitude position point in a planned area;
when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N, and N is more than or equal to 2, the RSRP value of the cell is reset; the relocation method is as follows:
when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point;
and when N is less than 20, sorting the N RSRP values from large to small or from small to large, taking a median value as the RSRP value of the cell received by the longitude and latitude position point, specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point, and when N is an even number, selecting an average value of the two middle RSRP values as the RSRP value of the cell received by the longitude and latitude position point.
5. An apparatus for confirming a neighboring cell relation, comprising:
the first acquisition module is used for acquiring shadow fading allowance under the multi-cell model and link loss error of the propagation model in the propagation direction;
the correcting module is used for correcting the propagation model according to the shadow fading allowance and the link loss error under the multi-cell model;
the simulation module is used for carrying out overall coverage prediction analysis simulation by using the corrected propagation model and acquiring the RSRP value of the cell received by each longitude and latitude grid point in the planning area;
the processing module is used for processing the RSRP value of the cell received by each longitude and latitude grid point in the planning area and confirming the adjacent cell relation among the cells;
the first obtaining module comprises:
and the query module is used for querying the error-angle function curve subjected to Fourier series fitting to obtain the link loss error of the propagation model in the propagation direction.
6. The apparatus for confirming a neighboring cell relation according to claim 5, wherein the first obtaining module includes:
an estimating module, configured to estimate a shadow fading margin σ under the multi-cell model by using formula 5:
wherein the content of the first and second substances,
the probability of area coverage under the condition of a single cell is obtained; pi,totalIs Cell [ i]The area coverage probability of (a); a is related to the propagation environment; m isiIs Cell [ i ]]The number of adjacent cells;n is a propagation environment parameter.
7. The apparatus for confirming a neighboring cell relation according to claim 5, further comprising:
the preprocessing module is used for preprocessing the measured data to obtain the RSRP value of the cell received by each longitude and latitude position point in the planning area and confirm the initial adjacent cell relation among the cells;
and the merging module is used for merging the initial adjacent region relation and the adjacent region relation to obtain the final adjacent region relation.
8. The apparatus for confirming a neighboring cell relation according to claim 7, wherein the preprocessing module comprises:
the second acquisition module is used for acquiring the RSRP value of the cell received by each longitude and latitude position point in the planned area;
the relocation module is used for relocating the RSRP value of the cell when the RSRP values of the same cell received by the same longitude and latitude position point in the planned area are N and N is more than or equal to 2; the relocation method is as follows:
when N is more than or equal to 20, selecting the average value of N RSRP values as the RSRP value of the cell received by the longitude and latitude position point;
and when N is less than 20, sorting the N RSRP values from large to small or from small to large, taking a median value as the RSRP value of the cell received by the longitude and latitude position point, specifically, when N is an odd number, selecting a middle RSRP value as the RSRP value of the cell received by the longitude and latitude position point, and when N is an even number, selecting an average value of the two middle RSRP values as the RSRP value of the cell received by the longitude and latitude position point.
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