CN108632849B - Method, device and equipment for adjusting antenna feeder parameters - Google Patents
Method, device and equipment for adjusting antenna feeder parameters Download PDFInfo
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- CN108632849B CN108632849B CN201710168117.4A CN201710168117A CN108632849B CN 108632849 B CN108632849 B CN 108632849B CN 201710168117 A CN201710168117 A CN 201710168117A CN 108632849 B CN108632849 B CN 108632849B
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Abstract
The invention discloses a method, a device and equipment for adjusting antenna feeder parameters. The method comprises the following steps: calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired MR; determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters; for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set; dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted; and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each population. The embodiment of the invention can improve the accuracy and efficiency of determining the optimal antenna feeder parameters.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, and a device for adjusting antenna feeder parameters.
Background
In an LTE (Long Term Evolution) network, on the premise of ensuring service quality, in order to obtain a maximized cell capacity, optimization and adjustment of an antenna feeder parameter are generally required. The optimization of antenna feed parameters comprises antenna direction angle adjustment, antenna downward inclination angle adjustment, cell transmitting power adjustment and the like.
In the prior art, the antenna feeder parameter optimization method mainly includes acquiring cell coverage related data by manually performing drive test or frequency sweep, and then determining an adjustment scheme for adjusting parameters such as an antenna downward inclination angle, a direction angle and cell transmitting power based on the data. However, this method is suitable for adjusting the antenna feeder parameters of a small area of the module, and if the antenna feeder parameters of the whole network are optimized, not only a long time and a large workload are required, but also it is difficult to obtain an accurate adjustment scheme.
Disclosure of Invention
The embodiment of the invention provides an antenna feeder parameter adjusting method, device and equipment, which can solve the problems that the existing antenna feeder parameter adjusting mode needs long time and large workload, and an accurate adjusting scheme is difficult to obtain.
In a first aspect, an embodiment of the present invention provides a method for adjusting antenna feeder parameters, including:
calculating a cell to be adjusted in a network, which needs to adjust an antenna feeder parameter, based on an acquired MR (Measurement Report);
determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters;
for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set;
dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the optimal signal quality adjustment parameter set of the cell to be adjusted in each population.
In a second aspect, an embodiment of the present invention provides an apparatus for adjusting antenna feeder parameters, including:
the calculation unit is used for calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
the determining unit is used for determining a parameter adjusting set of the antenna feeder parameters according to a preset adjusting range and a preset adjusting step length of the antenna feeder parameters;
the calculating unit is further configured to calculate, for each cell to be adjusted, an optimal signal quality adjustment parameter set for each cell to be adjusted based on parameters in the parameter adjustment set;
the dividing unit is used for dividing the cells to be adjusted into two or more groups based on the correlation among the cells to be adjusted;
the calculation unit is further configured to calculate, based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each of the populations, an optimal antenna feeder parameter of the cell to be adjusted in each of the populations through a genetic algorithm.
In a third aspect, an embodiment of the present invention provides an apparatus for adjusting antenna feeder parameters, including:
a memory, a processor, a communication interface, and a bus;
the memory, the processor and the communication interface are connected through a bus and complete mutual communication;
the memory is used for storing program codes;
the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory so as to execute an antenna feeder parameter adjusting method; the method for adjusting the antenna feeder parameters comprises the following steps:
calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters;
for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set;
dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each population.
The embodiment of the invention provides a method, a device and equipment for adjusting antenna feeder parameters, wherein the embodiment of the invention calculates a cell to be adjusted in a network needing to adjust the antenna feeder parameters based on an acquired MR; then determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters, and calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set for each cell to be adjusted; dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted; and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the optimal signal quality adjustment parameter set of the cell to be adjusted in each population. In the embodiment of the invention, each cell is evaluated by combining MR data in a network, the cell to be adjusted of the antenna feed parameter is screened out, then the optimal signal quality adjustment parameter set of each cell to be adjusted is calculated, the cell to be adjusted is subjected to population division according to the correlation, the optimal antenna feed parameter of the cell to be adjusted in each population is calculated respectively based on the optimal signal quality adjustment parameter set, so that the data related to cell coverage is obtained without manually performing drive test or frequency sweep, a large amount of time and cost are saved, and the accuracy and the efficiency of determining the optimal antenna feed parameter are improved by a mode of simultaneously calculating the divided populations respectively.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an adjusting method of antenna feeder parameters according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of an adjusting device for antenna feeder parameters according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of an adjusting apparatus for antenna feeder parameters 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 clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a schematic flow chart of an adjustment method of antenna feeder parameters according to an embodiment of the invention. As shown in fig. 1, the method comprises the steps of:
and 110, calculating the cells to be adjusted in the network needing to adjust the antenna feeder parameters based on the acquired MR.
In the embodiment of the invention, the MR in the network can be acquired, the MR carries the signal quality related parameters of the network, and the problem of the signal quality in the network can be judged based on the signal quality related parameters.
It should be noted that the antenna feed parameters include an azimuth angle of the antenna, a downtilt angle of the antenna, a transmission power of the antenna, and the like.
And 120, determining a parameter adjustment set of the antenna feeder parameters according to the preset adjustment range and the preset adjustment step length of the antenna feeder parameters.
The preset adjustment range and the preset adjustment step length of the antenna feeder parameter may be set according to an actual scene, for example, the antenna feeder parameter includes an antenna azimuth angle, the preset adjustment range may be 30 degrees to 60 degrees, and the preset adjustment step length may be 1 degree or 5 degrees. After the preset adjustment range and the preset adjustment step length of the antenna feeder parameters are determined, a parameter adjustment set which can be adjusted by the antenna feeder parameters can be determined.
And 130, for each cell to be adjusted, calculating the optimal signal quality adjustment parameter set of each cell to be adjusted based on the parameters in the parameter adjustment set.
After the parameter adjustment set of the antenna feeder parameters is determined in step 120, each cell to be adjusted is calculated, and the optimal signal quality adjustment parameter set of each cell to be adjusted is calculated from the parameter adjustment set.
And 140, dividing the cells to be adjusted into two or more groups based on the correlation among the cells to be adjusted.
The correlation between cells indicates that the signal quality of other cells can be affected when the antenna feeder parameter of a certain cell is adjusted. And carrying out population division on the cells to be adjusted based on the correlation between the cells to be adjusted.
And 150, calculating the optimal antenna feeder parameters of the cells to be adjusted in each population through a genetic algorithm based on the optimal signal quality adjustment parameter set of the cells to be adjusted in each population.
In this step, for each population, the optimal signal quality adjustment parameter set of the cell to be adjusted in the population may be used as an initial value to calculate the optimal antenna feeder parameter of the cell to be adjusted in each population.
In the embodiment of the invention, each cell is evaluated by combining MR data in a network, the cell to be adjusted of the antenna feed parameter is screened out, then the optimal signal quality adjustment parameter set of each cell to be adjusted is calculated, the cell to be adjusted is subjected to population division according to the correlation, the optimal antenna feed parameter of the cell to be adjusted in each population is calculated respectively based on the optimal signal quality adjustment parameter set, so that the data related to cell coverage is obtained without manually performing drive test or frequency sweep, a large amount of time and cost are saved, and the accuracy and the efficiency of determining the optimal antenna feed parameter are improved by a mode of simultaneously calculating the divided populations respectively.
It is understood that, in the embodiment of the present invention, the step 110 may also be specifically executed as the following step: 111, dividing a coverage area of a network into grids with preset sizes; 112, determining the MR matched with the grid based on the first signal quality parameter of the grid and the second signal quality parameter of the acquired MR; and 113, calculating the cells to be adjusted which need to adjust the antenna feeder parameters according to the MR matched with the grids belonging to each cell in the network.
The grid dividing the coverage area of the network into the preset size can be realized based on a ray propagation model, and the size of the divided grid can be set according to the actual situation. For example, based on a 5m map, a three-dimensional space of a coverage area (to-be-planned area) of a network is divided into 5m × 5m grids by using a 3D (three-dimensional) ray propagation model through simulation software, and further, signal quality parameters of corresponding base stations of each grid, that is, first signal quality parameters, can be calculated. And matching the first signal quality parameter of each grid with the second signal quality parameter of the acquired MR, so as to determine the MR matched with the grid. The first signal quality parameter comprises a signal strength of a primary serving cell of the grid and a signal strength of a neighbor serving cell of the grid; the second signal quality parameter includes a signal strength of a primary serving cell of the MR and a signal strength of a neighbor serving cell of the MR.
In the embodiment of the present invention, in order to calculate the signal quality parameter of each grid, the grid is divided by the ray propagation model and the three-dimensional space is divided into grids.
It should be noted that, when calculating the first signal quality parameter of each grid, since the first signal quality parameter is calculated by using the 3D ray propagation model based on the simulation software, the longitude and latitude of the user equipment and the longitude and latitude of the base station are designed in the calculation process, and in order to avoid calculation errors, the calculated first signal quality parameter may be calibrated by determining the longitude and latitude of the base station. In the calculation process, the source of part of the longitude and latitude information is base station positioning, and the precision depends on the density of the base stations participating in the calculation and the distance from the base stations to the main cell, so that the longitude and latitude information of the base stations can be verified through a TADV (Timing Advance) of the main cell. Due to the influence of the geographical environment on the propagation path, the base station cell signal received by the user equipment is not in straight line propagation (especially dense urban area) in the general sense, and TADV represents the time difference generated by the real curve path of the base station signal transmitted to the user equipment, and the real distance of the base station signal transmitted to the user equipment can be calculated based on the time difference, so that if the difference between the distances between the user equipment and the base station is greater than the real distance of the base station signal transmitted to the user equipment calculated according to TADV, the longitude and latitude information of the base station is incorrect.
Specifically, in the embodiment of the present invention, step 112 may be specifically executed as: for each acquired MR, calculating a difference between the second signal quality parameter and the first signal quality parameter of the respective grid; determining a minimum difference value of the difference values; and calculating a first signal quality parameter that yields the minimum difference and a second signal quality parameter that yields the minimum difference; and determining the grids corresponding to the first signal quality parameters with the minimum difference and the MRs corresponding to the second signal quality parameters with the minimum difference as a matching relation.
After the acquisition of the MRs, calculating the difference between the second signal quality parameter in each MR and the first signal quality parameter of each grid, and then determining the minimum difference from the calculated differences, wherein the first signal quality parameter and the second signal quality parameter which obtain the minimum difference are determined to be the closest parameters, so that the grid corresponding to the first signal quality parameter and the MR corresponding to the second signal quality parameter are determined to be a matching relation, namely, the positioning of the MR to the matched grid is realized.
It should be noted that, the way of calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid may be: and calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid according to a Euclidean distance algorithm.
For example, the difference between the second signal quality parameter and the first signal quality parameter of each grid is calculated according to equation 1.
In equation 1, RSRP (Reference Signal Received Power)Signal strength), d represents the calculated difference, i represents the number of serving cells in the second signal quality parameter, including the main serving cell and the neighbor serving cells, RSRPai represents the signal quality parameter of the ith serving cell in the second signal quality parameter, RSRPai represents the signal quality parameter of the second signal quality parameterFPIndicating the signal quality parameter of the ith serving cell in the first signal quality parameter.
It is understood that, in the embodiment of the present invention, the step 113 may also be specifically executed as the following step: calculating a grid to be adjusted for adjusting the antenna feeder parameters according to the MR matched with the grid; and calculating the cells to be adjusted according to the number of the grids to be adjusted in each cell in the network.
After the matching relation between the MR and the grids is determined, the grids needing to adjust the antenna feeder parameters can be calculated based on the MR matched with the grids, and then the cells to be adjusted can be calculated based on the number of the grids to be adjusted belonging to each cell.
Specifically, the implementation manner of calculating the grid to be adjusted, which needs to adjust the antenna feeder parameter according to the MR matched with the grid, may be: judging whether a second signal quality parameter of the MR matched with the grid is larger than a preset value; and determining the grid of which the second signal quality parameter of the MR matched with the grid is not more than the preset value as the grid to be adjusted.
In this step, the preset value represents a value at which the preset signal quality parameter can satisfy the signal quality requirement. And comparing the second signal quality parameter of the MR matched with each grid with a preset value in sequence, and judging whether the second signal quality parameter is greater than the preset value. If the signal quality is greater than the preset value, the signal quality of the grid meets the requirement, and the antenna feed parameters do not need to be adjusted; if the grid is not greater than the preset value, the signal quality of the grid does not meet the requirement, the antenna feed parameters of the grid need to be adjusted, and therefore the grid to be adjusted can be determined.
The second Signal quality parameter includes reference Signal received power RSRP of the primary serving cell of the MR and/or SINR (Signal to Interference plus Noise Ratio) of the primary serving cell of the MR.
Specifically, calculating the cells to be adjusted according to the number of grids to be adjusted belonging to each cell in the network may specifically be implemented as: counting the number of grids to be adjusted belonging to each cell and the total number of grids belonging to each cell; and for each cell, determining the cell with the number of the grids to be adjusted accounting for the total number of the grids reaching a preset proportion as the cell to be adjusted.
In this step, whether the grid to be adjusted is the cell to be adjusted is determined according to the proportion of the grid to be adjusted in each cell to the grid. The number of the grids to be adjusted belonging to each cell and the total number of the grids belonging to each cell are counted, so that the proportion of the number of the grids to be adjusted in the total number of the grids can be calculated, and if the calculated proportion reaches a preset proportion, the cell can be determined to be the cell to be adjusted.
It is understood that, in the embodiment of the present invention, the step 130 may also be specifically executed as the following step: 131, adjusting the antenna feeder parameters one by one to parameters in the parameter adjustment set, and calculating the average signal quality of the cell to be adjusted when the antenna feeder parameters are adjusted; 132, determining the parameters corresponding to the preset number of larger average signal qualities as the optimal signal quality adjustment parameter set of the cell to be adjusted.
After the parameter adjustment set is determined, the antenna feeder parameters of the cell to be adjusted are adjusted to the parameters in the parameter adjustment set, and the average signal quality of the cell to be adjusted can be calculated during each adjustment of the antenna feeder parameters. And then, for the average signal quality of each cell to be adjusted, sorting the parameters in the parameter adjustment set according to the average signal quality, and selecting a preset number of parameters corresponding to larger average signal quality to determine the parameters as the optimal signal quality adjustment parameter set of the cell to be adjusted.
It should be noted that the preset number of values may be set according to actual needs, for example, set to 5, 3, and so on. The larger average signal quality may be the average signal quality ranked first in the sequence ranked from larger to smaller.
Specifically, the implementation manner of calculating the average signal quality of the cell to be adjusted when the antenna feeder parameter is adjusted in step 131 may be: calculating an adjusted signal quality parameter according to the antenna gain change value of each grid in the cell to be adjusted after the antenna feed parameter is adjusted and the sum of second signal quality parameters of the MR corresponding to each grid in the cell to be adjusted; and calculating the average signal quality of the cell to be adjusted based on the adjusted signal quality parameter.
When the antenna feed parameters are adjusted every time, each grid of the cell to be adjusted can calculate a gain change value of the antenna gain relative to the initial state, and further the sum of second signal quality parameters of the MR corresponding to each grid in the cell to be adjusted can be calculated to calculate the adjusted signal quality parameters, wherein the antenna gain in the initial state is the antenna gain when the antenna feed parameters are not adjusted by each grid.
For example, taking the second signal quality parameter of the MR as RSRP and the antenna feed parameter as the antenna azimuth as an example, the antenna azimuth when the antenna feed parameter is not adjusted in a cell a to be adjusted is set as θ1The RSRP value of the MR matched with one of the grids B in A is RSRP1, and one of the parameters in the parameter adjustment set is θ2When the antenna feed parameter of the cell to be adjusted is adjusted by theta2Then, the adjusted signal quality parameter RSRP2 of grid B can be calculated according to equation 2.
RSRP2＝RSRP1+Gainant(θ2)-Gainant(θ1) Equation 2
In formula 2, RSRP2 indicates that the antenna feeder parameter of grid B in cell a to be adjusted is adjusted to θ2The later signal quality parameter, RSRP1, represents the signal quality parameter, Gain, when the antenna feeder parameter is not adjusted by grid B in cell a to be adjustedant(θ2)-Gainant(θ1) The value of (A) indicates that the antenna feed parameter of grid B in cell A to be adjusted is theta1Is adjusted to theta2The latter antenna gain change value.
It should be noted that, through the above process, when the antenna feeder parameter is adjusted for each time in the cell to be adjusted, the signal quality parameter of each grid in the adjusted cell to be adjusted can be calculated, and then the average signal quality of the cell to be adjusted can be calculated.
The average signal quality of the cell to be adjusted may also be represented as a cell cost value to be adjusted, the second signal quality parameter may also include RSRP and SINP, and the cell cost value to be adjusted may be calculated according to formula 3.
f(x)＝α*fSINR(x)+β*fRSRP(x) Equation 3
In formula 3, f (x) represents the cost value of the cell to be adjusted of the x cell, α and β are weights respectively representing RSRP and SINR weights, and fSINR(x) Representing the average signal quality of the cell to be adjusted, calculated on the basis of SINP, fRSRP(x) Representing the average signal quality of the cell to be adjusted calculated based on RSRP.
In the embodiment of the invention, in order to accelerate the calculation speed and save the program running time and the memory, the parallel genetic algorithm based on the island model is adopted, compared with the simple genetic algorithm, the parallel genetic algorithm mainly introduces a plurality of populations, the populations evolve at the same time, namely, the cell to be adjusted is divided into at least two populations in step 140, and then the optimal antenna feeder parameter of the cell to be adjusted in each population is calculated by various populations in step 150.
In step 140, whether the cells to be adjusted are related or not may be determined by the distance between the two cells to be adjusted, for example, when the distance between the two cells to be adjusted is greater than a preset value, the two cells to be adjusted are not related, and when the distance between the two cells to be adjusted is less than or equal to the preset value, the two cells to be adjusted are related, so that the cells to be adjusted may be grouped by the distance between the two cells to be adjusted.
In step 140, the correlation between the cells to be adjusted may also be determined from the MR data comprised by each cell to be adjusted. For example, it is determined whether a signal parameter (RSRP) of a second cell to be adjusted is present in MR data included in a first cell to be adjusted, and if the signal parameter (RSRP) of the second cell to be adjusted is present in the MR data included in the first cell to be adjusted, it may be determined that the first cell to be adjusted and the second cell to be adjusted are related, and conversely, if the signal parameter (RSRP) of the second cell to be adjusted is not present in the MR data included in the first cell to be adjusted, it may be determined that the first cell to be adjusted and the second cell to be adjusted are not related; for another example, it is determined that, in the MR data included in the first cell to be adjusted, the MR of the signal parameter (RSRP) of which the second cell to be adjusted is a neighboring cell accounts for the quantity proportion of the total MRs included in the first cell to be adjusted, if the quantity proportion reaches a preset value, it may be considered that the correlation between the first cell to be adjusted and the second cell to be adjusted is strong or that the first cell to be adjusted and the second cell to be adjusted are correlated, and if the quantity proportion does not reach the preset value, it may be considered that the correlation between the first cell to be adjusted and the second cell to be adjusted is weak or that the first cell to be adjusted and the second cell to be adjusted are uncorrelated.
After the cells to be adjusted are divided into two or more populations according to the correlation between the cells to be adjusted, the divided populations may be represented by a constructed matrix.
For example, setting a network to have N cells, wherein M cells to be adjusted are arranged, arranging N cells, each cell corresponding to one serial number from 0 to N-1, arranging M cells to be adjusted, each cell corresponding to one serial number from 0 to M-1, and constructing an M × N matrix AiJ, as shown in equation 4.
In the formula 4, Ai，jI is more than or equal to 0 and less than or equal to M-1, j is more than or equal to O and less than or equal to N-1, ai，jThe cell is represented as the ith cell and the jth cell in the N cells in the M cells to be adjusted. A. thei，jA in the matrixi，jE {0, 1}, where ai，j0 represents ai，jAntenna feeder parameters of corresponding cells are not adjusted, ai，j1 represents ai，jAnd adjusting the antenna feeder parameters of the corresponding cell. A. thei，jIn the matrix, each row corresponds to a cell to be adjusted, i.e., the element value of the cell to be adjusted corresponding to the row in the elements of each row is 1, and the other elements are 0. In construction Ai，jIn the matrix, the rows corresponding to the cells to be adjusted, which are divided into a group, are arranged adjacently, so that the rows pass through Ai，jThe matrix can directly reflect the situation of population division.
In step 150, for each population, the cells to be adjusted correspond to the optimal signal quality adjustment parameters, and in this step, the optimal signal quality adjustment parameters of the cells to be adjusted are used as initial values for calculation, so as to perform calculation of the genetic algorithm.
In the genetic algorithm, encoding needs to be performed based on the genetic algorithm, and a binary encoding mode is adopted in the embodiment of the invention, and the specific process is as follows.
In the embodiment of the present invention, the antenna feed parameter to be adjusted is set by taking the azimuth angle of the antenna as an example, and the preset adjustment range may be 40 degrees to 60 degrees (i.e. max)valueIs 60 minvalue40) is preset, the step of adjustment is presetvalueWhich may be 5 degrees, there are 5 kinds of values adjustable in azimuth angle, which are (40, 45, 50, 55, 60), respectively, and they are binary-coded, and the calculation formula of the code length P is formula 5.
P＝ceil(log2((maxvalue-minvalue)/stepvalue+1)) formula 5
In equation 5, ceil represents an rounding-up function. P-3 can be calculated based on the set parameters, so a binary encoding of 3 can be used to represent azimuthally adjustable values of 000, 001, 010, 011, 100, respectively, with X (X)2，x1，x0) Binary coding representing an azimuthally adjustable value, e.g. X when X is 000, X2＝x1＝x0When X is 0, X is 001, X2＝x1＝0，x01. When the value of the azimuth is represented by a binary, the binary azimuth value can be converted into an angle value by equation 6.
In formula 6, Value represents the Value of the antenna feed parameter, and k is an integer from 0 to P-1.
In the embodiment of the invention, the value of the azimuth angle is subjected to binary coding and conversion between binary and decimal. The optimal signal quality adjustment parameter set of each cell to be adjusted calculated in step 130 is converted into a binary system by the above method, and when a genetic algorithm is performed, the binary system of the optimal signal quality adjustment parameter set of each cell to be adjusted in each population is used as a calculation of an initial population parameter value signature genetic algorithm. In the calculation process, f (x) in the formula 3 is used as a fitness function, and after the iterative calculation of heredity and variation, the optimal antenna feeder parameter of the cell to be adjusted in each population is obtained.
In the above calculation process, the initial value of the calculation is the set of the optimal signal quality adjustment parameters of each cell to be adjusted calculated in step 130, and the parameters in these sets are already close to the optimal antenna feeder parameters of the cell to be adjusted, so the calculation process of the genetic algorithm can be simplified by this calculation method, and the calculation efficiency can be improved.
In an alternative embodiment, before the optimal signal quality adjustment parameter set of each cell to be adjusted in step 130, the antenna feeder parameters may be first binary-coded, and then a is constructedi，jAnd calculating the optimal signal quality adjustment parameter set of each cell to be adjusted based on the constructed matrix, wherein A is used in the calculation processi，jEach row in the matrix only adjusts the antenna feeder parameters of the corresponding cell to be adjusted, so Ai，jEach row of the matrix may be used individually as a vector for calculating the best set of signal quality adjustment parameters for each cell to be adjusted, pair ai，jEach row a of the matrixi，jThe antenna feeder parameters of the cell to be adjusted, which are 1, are sequentially adjusted to the antenna feeder parameters converted into binary, and when f (x) is calculated, a may be calculated by formula 7i，jThe antenna feeder parameters of each cell in the matrix are converted to decimal.
In equation 7, Valuei，jDenotes ai，jAnd k is an integer from 0 to P-1 corresponding to the antenna feeder parameter value of the cell. Due to Ai，jIn the elements of each row of the matrixIf only the element of the cell to be adjusted corresponding to the row is 1 and the other elements are 0, the calculated Valuei，jIn (a)i，jValue is calculated as 0i，jAll values of (A) are minimum valuesi，jTo 1, calculate Valuei，jThe value of (b) is the actual value. In the calculation process, a may be seti，jValue calculated at 0i，jDoes not participate in the calculation of the optimal signal quality adjustment parameter set, thereby ensuring that a is calculatedi，jThe set of best signal quality adjustment parameters corresponding to the cell to be adjusted is 1.
Fig. 2 shows a schematic block diagram of an adjusting apparatus 200 for antenna feeder parameters according to an embodiment of the present invention. As shown in fig. 2, the apparatus 200 includes:
a calculating unit 201, configured to calculate, based on the acquired measurement report MR, a cell to be adjusted in the network, where an antenna feeder parameter needs to be adjusted;
a determining unit 202, configured to determine a parameter adjustment set of the antenna feeder parameter according to a preset adjustment range and a preset adjustment step of the antenna feeder parameter;
the calculating unit 201 is further configured to calculate, for each cell to be adjusted, an optimal signal quality adjustment parameter set for each cell to be adjusted based on parameters in the parameter adjustment set;
a dividing unit 203, configured to divide the cell to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
the calculating unit 201 is further configured to calculate, by using a genetic algorithm, an optimal antenna feeder parameter of the cell to be adjusted in each of the populations based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each of the populations.
In the embodiment of the invention, each cell is evaluated by combining MR data in a network, the cell to be adjusted of the antenna feed parameter is screened out, then the optimal signal quality adjustment parameter set of each cell to be adjusted is calculated, the cell to be adjusted is subjected to population division according to the correlation, the optimal antenna feed parameter of the cell to be adjusted in each population is calculated respectively based on the optimal signal quality adjustment parameter set, so that the data related to cell coverage is obtained without manually performing drive test or frequency sweep, a large amount of time and cost are saved, and the accuracy and the efficiency of determining the optimal antenna feed parameter are improved by a mode of simultaneously calculating the divided populations respectively.
It is to be understood that the computing unit 201 is further configured to:
adjusting the antenna feeder parameters one by one to be parameters in the parameter adjustment set, and calculating the average signal quality of the cell to be adjusted when the antenna feeder parameters are adjusted;
and determining the parameters corresponding to the average signal quality with a preset number of larger average signal qualities as the optimal signal quality adjustment parameter set of the cell to be adjusted.
It is to be understood that the computing unit 201 is further configured to:
calculating an adjusted signal quality parameter according to the antenna gain change value of each grid in the cell to be adjusted after the antenna feed parameter is adjusted and the sum of second signal quality parameters of MRs corresponding to each grid in the cell to be adjusted;
and calculating the average signal quality of the cell to be adjusted based on the adjusted signal quality parameter.
It is to be understood that the computing unit 201 is further configured to:
dividing the coverage area of the network into grids with preset sizes;
determining a MR matching the grid based on a first signal quality parameter of the grid and a second signal quality parameter of the acquired measurement report MR;
and calculating the cell to be adjusted needing to adjust the antenna feeder parameters according to the MR matched with the grids belonging to each cell in the network.
It is to be understood that the determining unit 202 is specifically configured to:
for each acquired MR, calculating a difference between a second signal quality parameter and the first signal quality parameter of the respective grid;
determining a minimum difference value of the difference values;
and calculating a first signal quality parameter that yields the minimum difference and a second signal quality parameter that yields the minimum difference;
and determining the first signal quality parameter which is calculated to obtain the minimum difference value and the second signal quality parameter which is calculated to obtain the minimum difference value as a matching relation.
It is to be understood that the first signal quality parameter comprises a signal strength of a primary serving cell of the grid and a signal strength of a neighboring serving cell of the grid;
the second signal quality parameter includes a signal strength of a primary serving cell of the MR and a signal strength of a neighbor serving cell of the MR.
It is understood that the computing unit 201 is specifically configured to:
and calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid according to a Euclidean distance algorithm.
It is understood that the computing unit 201 is specifically configured to:
calculating a grid to be adjusted, which needs to adjust the antenna feeder parameters, according to the MR matched with the grid;
and calculating the cells to be adjusted according to the number of the grids to be adjusted in each cell in the network.
It is understood that the computing unit 201 is specifically configured to:
judging whether a second signal quality parameter of the MR matched with the grid is larger than a preset value;
and determining the grid of which the second signal quality parameter of the MR matched with the grid is not more than the preset value as the grid to be adjusted.
It is to be understood that the second signal quality parameter comprises a reference signal received power, RSRP, of the primary serving cell of the MR and/or a signal to interference plus noise ratio, SINR, of the primary serving cell of the MR.
It is understood that the computing unit 201 is specifically configured to:
counting the number of grids to be adjusted belonging to each cell and the total number of grids belonging to each cell;
and for each cell, determining the cell with the number of the grids to be adjusted accounting for the total number of the grids reaching a preset proportion as the cell to be adjusted.
The adjusting apparatus 200 for antenna feeder parameters according to the embodiment of the present invention may correspond to an executing body in the adjusting method for antenna feeder parameters according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the adjusting apparatus 200 for antenna feeder parameters are respectively for implementing corresponding processes of each method in fig. 1, and are not described herein again for brevity.
Fig. 3 is a schematic block diagram of an adjustment apparatus 300 for antenna feed parameters according to an embodiment of the present invention. As shown in fig. 3, the device 300 includes a processor 301, a memory 302, and a communication interface 303, the memory 302 is used for storing executable program codes, the processor 301 executes programs corresponding to the executable program codes by reading the executable program codes stored in the memory 302, the communication interface 303 is used for communicating with external devices, the device 300 may further include a bus 304, and the bus 304 is used for connecting the processor 301, the memory 302, and the communication interface 303, so that the processor 301, the memory 302, and the communication interface 303 communicate with each other through the bus 304.
Specifically, the processor 301 is further configured to execute an adjusting method of the antenna feeder parameter; wherein the adjustment of the antenna feeder parameters comprises:
calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters;
for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set;
dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the optimal signal quality adjustment parameter set of the cell to be adjusted in each population.
The device 300 for adjusting an antenna feeder parameter according to an embodiment of the present invention may correspond to an execution body in the method for adjusting an antenna feeder parameter according to an embodiment of the present invention, and the above and other operations and/or functions of each module in the device 300 for adjusting an antenna feeder parameter are respectively for implementing corresponding flows of each method in fig. 1, and are not described herein again for brevity.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (23)
1. A method for adjusting antenna feeder parameters is characterized by comprising the following steps:
calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters;
for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set;
dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the optimal signal quality adjustment parameter set of the cell to be adjusted in each population.
2. The method for adjusting the antenna feed parameter according to claim 1, wherein the calculating a set of optimal signal quality adjustment parameters for each of the cells to be adjusted based on the parameters in the set of parameter adjustments comprises:
adjusting the antenna feeder parameters one by one to be parameters in the parameter adjustment set, and calculating the average signal quality of the cell to be adjusted when the antenna feeder parameters are adjusted;
and determining the parameters corresponding to the average signal quality with a preset number of larger average signal qualities as the optimal signal quality adjustment parameter set of the cell to be adjusted.
3. The method according to claim 2, wherein the calculating an average signal quality of the cell to be adjusted when the antenna feeder parameter is adjusted comprises:
calculating an adjusted signal quality parameter according to the antenna gain change value of each grid in the cell to be adjusted after the antenna feed parameter is adjusted and the sum of second signal quality parameters of MRs corresponding to each grid in the cell to be adjusted;
and calculating the average signal quality of the cell to be adjusted based on the adjusted signal quality parameter.
4. The method for adjusting the antenna feeder parameters according to claim 1, wherein calculating the cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the collected measurement report MR comprises:
dividing the coverage area of the network into grids with preset sizes;
determining a MR matching the grid based on a first signal quality parameter of the grid and a second signal quality parameter of the acquired measurement report MR;
and calculating the cell to be adjusted needing to adjust the antenna feeder parameters according to the MR matched with the grids belonging to each cell in the network.
5. The method for adjusting the antenna feed parameter according to claim 4, wherein the determining the MR matched with the grid based on the first signal quality parameter of the grid and the second signal quality parameter of the acquired MR comprises:
for each acquired MR, calculating a difference between a second signal quality parameter and the first signal quality parameter of the respective grid;
determining a minimum difference value of the difference values;
and calculating a first signal quality parameter that yields the minimum difference and a second signal quality parameter that yields the minimum difference;
and determining the grids corresponding to the first signal quality parameters with the minimum difference and the MRs corresponding to the second signal quality parameters with the minimum difference as a matching relation.
6. The method of claim 5, wherein the first signal quality parameter comprises a signal strength of a primary serving cell of the grid and a signal strength of a neighboring serving cell of the grid;
the second signal quality parameter includes a signal strength of a primary serving cell of the MR and a signal strength of a neighbor serving cell of the MR.
7. The method for adjusting the antenna feed parameter according to claim 4, wherein the calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid comprises:
and calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid according to a Euclidean distance algorithm.
8. The method according to claim 4, wherein the calculating the cell to be adjusted for adjusting the antenna feeder parameter according to the MR matched with the grids belonging to each cell in the network comprises:
calculating a grid to be adjusted, which needs to adjust the antenna feeder parameters, according to the MR matched with the grid;
and calculating the cells to be adjusted according to the number of the grids to be adjusted in each cell in the network.
9. The method for adjusting the antenna feeder parameters according to claim 8, wherein the calculating the grid to be adjusted, which needs to adjust the antenna feeder parameters, according to the MR matched with the grid comprises:
judging whether a second signal quality parameter of the MR matched with the grid is larger than a preset value;
and determining the grid of which the second signal quality parameter of the MR matched with the grid is not more than the preset value as the grid to be adjusted.
10. The method for adjusting the antenna feed parameter according to claim 9, wherein the second signal quality parameter comprises reference signal received power RSRP of the primary serving cell of the MR and/or signal to interference plus noise ratio SINR of the primary serving cell of the MR.
11. The method according to claim 8, wherein the calculating the cells to be adjusted according to the number of grids to be adjusted in each cell in the network comprises:
counting the number of grids to be adjusted belonging to each cell and the total number of grids belonging to each cell;
and for each cell, determining the cell with the number of the grids to be adjusted accounting for the total number of the grids reaching a preset proportion as the cell to be adjusted.
12. An adjusting device for antenna feeder parameters, comprising:
the calculation unit is used for calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
the determining unit is used for determining a parameter adjusting set of the antenna feeder parameters according to a preset adjusting range and a preset adjusting step length of the antenna feeder parameters;
the calculating unit is further configured to calculate, for each cell to be adjusted, an optimal signal quality adjustment parameter set for each cell to be adjusted based on parameters in the parameter adjustment set;
the dividing unit is used for dividing the cells to be adjusted into two or more groups based on the correlation among the cells to be adjusted;
the calculation unit is further configured to calculate, based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each of the populations, an optimal antenna feeder parameter of the cell to be adjusted in each of the populations through a genetic algorithm.
13. The adjusting apparatus of the antenna feeder parameter according to claim 12, wherein the calculating unit is further configured to:
adjusting the antenna feeder parameters one by one to be parameters in the parameter adjustment set, and calculating the average signal quality of the cell to be adjusted when the antenna feeder parameters are adjusted;
and determining the parameters corresponding to the average signal quality with a preset number of larger average signal qualities as the optimal signal quality adjustment parameter set of the cell to be adjusted.
14. The adjusting apparatus of the antenna feeder parameter according to claim 13, wherein the calculating unit is further configured to:
calculating an adjusted signal quality parameter according to the antenna gain change value of each grid in the cell to be adjusted after the antenna feed parameter is adjusted and the sum of second signal quality parameters of MRs corresponding to each grid in the cell to be adjusted;
and calculating the average signal quality of the cell to be adjusted based on the adjusted signal quality parameter.
15. The adjusting apparatus of the antenna feeder parameter according to claim 12, wherein the calculating unit is further configured to:
dividing the coverage area of the network into grids with preset sizes;
determining a MR matching the grid based on a first signal quality parameter of the grid and a second signal quality parameter of the acquired measurement report MR;
and calculating the cell to be adjusted needing to adjust the antenna feeder parameters according to the MR matched with the grids belonging to each cell in the network.
16. The adjusting apparatus of the antenna feed parameter according to claim 15, wherein the determining unit is specifically configured to:
for each acquired MR, calculating a difference between a second signal quality parameter and the first signal quality parameter of the respective grid;
determining a minimum difference value of the difference values;
and calculating a first signal quality parameter that yields the minimum difference and a second signal quality parameter that yields the minimum difference;
and determining the first signal quality parameter which is calculated to obtain the minimum difference value and the second signal quality parameter which is calculated to obtain the minimum difference value as a matching relation.
17. The apparatus for adjusting the antenna feed parameter of claim 16, wherein the first signal quality parameter comprises a signal strength of a primary serving cell of the grid and a signal strength of a neighboring serving cell of the grid;
the second signal quality parameter includes a signal strength of a primary serving cell of the MR and a signal strength of a neighbor serving cell of the MR.
18. The adjusting apparatus of the antenna feed parameter according to claim 15, wherein the calculating unit is specifically configured to:
and calculating the difference between the second signal quality parameter and the first signal quality parameter of each grid according to a Euclidean distance algorithm.
19. The adjusting apparatus of the antenna feed parameter according to claim 15, wherein the calculating unit is specifically configured to:
calculating a grid to be adjusted, which needs to adjust the antenna feeder parameters, according to the MR matched with the grid;
and calculating the cells to be adjusted according to the number of the grids to be adjusted in each cell in the network.
20. The adjusting apparatus of the antenna feed parameter according to claim 19, wherein the calculating unit is specifically configured to:
judging whether a second signal quality parameter of the MR matched with the grid is larger than a preset value;
and determining the grid of which the second signal quality parameter of the MR matched with the grid is not more than the preset value as the grid to be adjusted.
21. The apparatus for adjusting the antenna feed parameter according to claim 20, wherein the second signal quality parameter comprises a reference signal received power, RSRP, of the primary serving cell of the MR and/or a signal to interference plus noise ratio, SINR, of the primary serving cell of the MR.
22. The adjusting apparatus of the antenna feed parameter according to claim 21, wherein the calculating unit is specifically configured to:
counting the number of grids to be adjusted belonging to each cell and the total number of grids belonging to each cell;
and for each cell, determining the cell with the number of the grids to be adjusted accounting for the total number of the grids reaching a preset proportion as the cell to be adjusted.
23. An adjusting device for antenna feeder parameters, comprising:
a memory, a processor, a communication interface, and a bus;
the memory, the processor and the communication interface are connected through the bus and complete mutual communication;
the memory is used for storing program codes;
the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory so as to execute an antenna feeder parameter adjusting method; the method for adjusting the antenna feeder parameters comprises the following steps:
calculating a cell to be adjusted in the network, which needs to adjust the antenna feeder parameters, based on the acquired measurement report MR;
determining a parameter adjustment set of the antenna feeder parameters according to a preset adjustment range and a preset adjustment step length of the antenna feeder parameters;
for each cell to be adjusted, calculating an optimal signal quality adjustment parameter set of each cell to be adjusted based on parameters in the parameter adjustment set;
dividing the cells to be adjusted into two or more populations based on the correlation between the cells to be adjusted;
and calculating the optimal antenna feeder parameter of the cell to be adjusted in each population through a genetic algorithm based on the maximum signal quality adjustment parameter set of the cell to be adjusted in each population.
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| CN110149654B (en) * | 2019-05-10 | 2022-09-16 | 中国联合网络通信集团有限公司 | Method and device for determining faults of base station antenna feeder system |
| CN112020006B (en) * | 2019-05-30 | 2023-07-04 | 中国移动通信集团重庆有限公司 | Antenna adjustment method, device, equipment and computer storage medium |
| CN114339781B (en) * | 2020-10-10 | 2023-12-05 | 大唐移动通信设备有限公司 | Wireless network coverage optimization method and device, electronic equipment and storage medium |
| CN113015192A (en) * | 2021-04-07 | 2021-06-22 | 中国移动通信集团陕西有限公司 | Antenna weight determination method, device, equipment and storage medium |
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