CN106412973B - Network coverage quality detection method and device - Google Patents
Network coverage quality detection method and device Download PDFInfo
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- CN106412973B CN106412973B CN201510456378.7A CN201510456378A CN106412973B CN 106412973 B CN106412973 B CN 106412973B CN 201510456378 A CN201510456378 A CN 201510456378A CN 106412973 B CN106412973 B CN 106412973B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
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Abstract
The invention provides a method and a device for detecting network coverage quality, wherein the method comprises the following steps: collecting measurement reports generated in a preset time period in a preset area, and determining a grid to which each measurement report belongs, wherein the preset area is subjected to rasterization in advance; determining a reference signal level and a receiving carrier-to-interference ratio corresponding to each grid according to the grid to which each measurement report belongs; and detecting the network coverage quality of the preset area according to the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid. The invention can more comprehensively detect the network coverage quality in the preset area, so that the network coverage quality detection result is more accurate.
Description
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for detecting network coverage quality.
Background
The better network coverage quality is the basis and key for guaranteeing the quality of an LTE (Long Term Evolution) network. The smart antenna technology is one of the key technologies in the LTE network, and the parameter setting of the smart antenna directly determines the quality of the network coverage. The network coverage quality is detected, when the network coverage quality is determined to be low and not enough to meet the requirements of users, the network coverage is optimized, and the direction of a broadcast channel beam is matched with a cell target coverage area through adaptively changing the broadcast channel beam forming weight (the amplitude and the phase of an antenna) of the intelligent antenna, so that the purpose of optimizing the network coverage is achieved.
The scheme adopted for detecting the network coverage quality in the set area at present is as follows: and finding roads and sub-areas with network coverage quality problems in the set area based on road tests.
The existing scheme for detecting the network coverage quality has the following problems: the reference data is limited to the coverage test on the road, and all the reference data in the set area cannot be collected, so that the obtained network coverage quality detection result is inaccurate.
Disclosure of Invention
The invention provides a method and a device for detecting network coverage quality, which are used for solving the problem that the network coverage quality detection result is inaccurate in the existing scheme for detecting the network coverage quality.
A network coverage quality detection method comprises the following steps:
collecting measurement reports generated in a preset time period in a preset area, and determining a grid to which each measurement report belongs, wherein the preset area is subjected to rasterization in advance;
determining a reference signal level and a receiving carrier-to-interference ratio corresponding to each grid according to the grid to which each measurement report belongs;
and detecting the network coverage quality of the preset area according to the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid.
In the method, determining the grid to which each measurement report belongs specifically includes:
simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell;
determining a cell corresponding to each measurement report and a reference signal true level of the cell for each measurement report;
determining the intersection of the cell corresponding to each grid and the cell corresponding to the measurement report;
calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulation reference signal level of the corresponding cell;
and determining the grid with the minimum reference signal distance as the grid to which the measurement report belongs.
According to the embodiment of the invention, the grid to which each measurement report belongs is determined according to the signal distance between each measurement report and the grid, so that a premise is provided for determining the reference signal level corresponding to each grid.
The method adopts the following formula to calculate the distance d between the measurement report and the reference signal of each grid:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
In the method, according to the grid to which each measurement report belongs, determining a reference signal level and a received carrier-to-interference ratio corresponding to each grid specifically includes:
counting the measurement report corresponding to each grid according to the grid to which each measurement report belongs;
taking the reference signal real level in the measurement report corresponding to each grid as the reference signal level corresponding to the grid;
and taking the ratio of the reference signal level corresponding to each grid to the total number of the grids corresponding to the preset area as the receiving carrier-to-interference ratio corresponding to the grid.
The embodiment of the invention takes the reference signal real level in the measurement report as the reference signal level corresponding to the grid, so that the network coverage quality detection result is more accurate.
In the method, the detecting the network coverage quality of the preset area according to the reference signal level and the received carrier-to-interference ratio corresponding to each grid specifically includes:
determining the maximum reference signal level corresponding to each grid and the maximum receiving carrier-to-interference ratio corresponding to each grid;
determining the number of the maximum reference signal levels which are greater than a first preset threshold value in the maximum reference signal levels, and taking the grid number corresponding to the number of the maximum reference signal levels which are greater than the first preset threshold value as a first grid number;
determining the number of the maximum receiving carrier-to-interference ratios which are greater than a second preset threshold in the maximum receiving carrier-to-interference ratios, and taking the grid number corresponding to the number of the maximum receiving carrier-to-interference ratios which are greater than the second preset threshold as a second grid number;
and detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of the grids corresponding to the preset area.
The embodiment of the invention jointly utilizes the network coverage and the network quality to detect the network coverage quality of the preset area.
In the method, detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of grids corresponding to the preset area specifically includes:
determining a network coverage satisfaction rate according to the ratio of the first grid number to the total grid number;
determining the network quality satisfaction rate according to the ratio of the second grid number to the total grid number;
weighting and summing the network coverage satisfaction rate and the network quality satisfaction rate to determine the network coverage quality of the preset area;
when the network coverage quality is determined to be not less than a third preset threshold value, determining that the network coverage quality meets requirements;
and when the network coverage quality is determined to be less than a third preset threshold value, determining that the network coverage quality does not meet the requirement.
According to the embodiment of the invention, the network coverage satisfaction rate and the network quality satisfaction rate are determined through the reference signal level and the receiving carrier-to-interference ratio selected from all grids in the preset area, and the network coverage quality in the preset area is detected according to the network coverage satisfaction rate and the network quality satisfaction rate, so that the accuracy of the network coverage quality can be improved to a certain extent.
And when the network coverage quality is determined not to meet the requirement, the method adjusts the broadcast beam weight of the antenna in the preset area according to a pre-established antenna broadcast beam weight library.
According to the embodiment of the invention, the network coverage quality of the preset area can be optimized by adjusting the antenna broadcast beam weight.
The invention also provides a network coverage quality detection device, which comprises:
the device comprises a first determining unit, a second determining unit and a processing unit, wherein the first determining unit is used for collecting measurement reports generated in a preset area within a preset time period and determining a grid to which each measurement report belongs, and the preset area is subjected to rasterization in advance;
a second determining unit, configured to determine, according to the grid to which each measurement report belongs, a reference signal level and a received carrier-to-interference ratio corresponding to each grid;
and the detection unit is used for detecting the network coverage quality of the preset area according to the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid.
In the apparatus, when determining the grid to which each measurement report belongs, the first determining unit is specifically configured to:
simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell;
determining a cell corresponding to each measurement report and a reference signal true level of the cell for each measurement report;
determining the intersection of the cell corresponding to each grid and the cell corresponding to the measurement report;
calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulation reference signal level of the corresponding cell;
and determining the grid with the minimum reference signal distance as the grid to which the measurement report belongs.
In the apparatus, the first determining unit calculates the reference signal distance d between the measurement report and each grid by using the following formula:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
In the apparatus, the second determining unit is specifically configured to:
counting the measurement report corresponding to each grid according to the grid to which each measurement report belongs;
taking the reference signal real level in the measurement report corresponding to each grid as the reference signal level corresponding to the grid;
and taking the ratio of the reference signal level corresponding to each grid to the total number of the grids corresponding to the preset area as the receiving carrier-to-interference ratio corresponding to the grid.
In the apparatus, the detection unit is specifically configured to:
determining the maximum reference signal level corresponding to each grid and the maximum receiving carrier-to-interference ratio corresponding to each grid;
determining the number of the maximum reference signal levels which are greater than a first preset threshold value in the maximum reference signal levels, and taking the grid number corresponding to the number of the maximum reference signal levels which are greater than the first preset threshold value as a first grid number;
determining the number of the maximum receiving carrier-to-interference ratios which are greater than a second preset threshold in the maximum receiving carrier-to-interference ratios, and taking the grid number corresponding to the number of the maximum receiving carrier-to-interference ratios which are greater than the second preset threshold as a second grid number;
and detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of the grids corresponding to the preset area.
In the apparatus, when the detecting unit detects the network coverage quality of the preset area according to the first grid number, the second grid number, and the total number of grids corresponding to the preset area, the detecting unit is specifically configured to:
determining a network coverage satisfaction rate according to the ratio of the first grid number to the total grid number;
determining the network quality satisfaction rate according to the ratio of the second grid number to the total grid number;
weighting and summing the network coverage satisfaction rate and the network quality satisfaction rate to determine the network coverage quality of the preset area;
when the network coverage quality is determined to be not less than a third preset threshold value, determining that the network coverage quality meets requirements;
and when the network coverage quality is determined to be less than a third preset threshold value, determining that the network coverage quality does not meet the requirement.
In the apparatus, when the detecting unit determines that the network coverage quality does not meet the requirement, the detecting unit is further configured to:
and adjusting the broadcast beam weight of the antenna in the preset area according to a pre-established antenna broadcast beam weight library.
The network coverage quality detection method and the device provided by the embodiment of the invention have the following beneficial effects: the embodiment of the invention can more comprehensively detect the network coverage quality in the preset area by positioning the grid to which each measurement report belongs and counting the measurement report corresponding to each grid, and according to the real level of the reference signal in the measurement report corresponding to each grid and the receiving carrier-to-interference ratio corresponding to each grid, so that the detection result of the network coverage quality is more accurate.
Drawings
Fig. 1 is a flowchart of a network coverage quality detection method according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining a grid to which each measurement report belongs according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a reference signal level and a received carrier-to-interference ratio corresponding to each trellis according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for detecting network coverage quality in a preset area according to a reference signal level and a received carrier-to-interference ratio corresponding to each grid according to an embodiment of the present invention;
fig. 5 is a flowchart of a method for detecting network coverage quality of a predetermined area according to the number of grids according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a network coverage quality detection apparatus according to an embodiment of the present invention.
Detailed Description
The network coverage quality detection method and device provided by the invention are described in more detail below with reference to the accompanying drawings and embodiments.
An embodiment of the present invention provides a method for detecting network coverage quality, as shown in fig. 1, including:
step 101, collecting measurement reports generated in a preset area within a preset time period, and determining a grid to which each measurement report belongs, wherein the preset area is subjected to rasterization processing in advance.
Specifically, the measurement report of the user in the preset area carries the actual levels of the reference signals of the main cell and the main cell, and the actual levels of the reference signals of the neighboring cells and the neighboring cells. A measurement report comprising: a primary cell, the reference signal true level of the primary cell, all neighbor cells of the primary cell and the reference signal true levels of all neighbor cells. The method comprises the steps of taking grids with set length and width as templates, obtaining geographical position information of each grid after rasterization processing is carried out on a preset area, determining the grid to which each measurement report generated in the preset area belongs, obtaining the geographical position information of the measurement report, and further obtaining the measurement report corresponding to each grid.
And 102, determining a reference signal level and a receiving carrier-to-interference ratio corresponding to each grid according to the grid to which each measurement report belongs.
Specifically, the reference signal level carried in each measurement report is a reference signal true level, and can reflect the true network condition of the preset area better than a reference signal simulation level, so that after the grid to which each measurement report belongs is determined, the reference signal true level in the measurement report corresponding to each grid is counted, the reference signal true level in the measurement report corresponding to each grid is used as the reference signal level corresponding to the grid, and the receiving carrier-to-interference ratio corresponding to the grid is calculated according to the reference signal corresponding to the grid. Specifically, one grid may correspond to one reference signal level and one received carrier-to-interference ratio, or may correspond to multiple reference signal levels and multiple received carrier-to-interference ratios.
And 103, detecting the network coverage quality of the preset area according to the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid.
Specifically, the reference signal level corresponding to each grid in the preset area reflects the network coverage condition of the preset area to a certain extent, and the receiving carrier-to-interference ratio corresponding to each grid in the preset area reflects the network quality in the preset area to a certain extent.
The embodiment of the invention can more comprehensively detect the network coverage quality in the preset area by positioning the grid to which each measurement report belongs and counting the measurement report corresponding to each grid, and according to the real level of the reference signal in the measurement report corresponding to each grid and the receiving carrier-to-interference ratio corresponding to each grid, so that the detection result of the network coverage quality is more accurate.
Preferably, in step 101, determining the grid to which each measurement report belongs, as shown in fig. 2, specifically includes:
step 201, simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell.
Specifically, the reference signal simulation level to the cell and the cell corresponding to each grid can be simulated according to the propagation model, the downtilt angle of the antenna in the preset area, the azimuth angle, the base station height, the antenna model data, and the like. This part can be simulated using prior art techniques and will not be described in detail here.
Specifically, for each measurement report in the measurement report, the true levels of the reference signals of the corresponding cell and the cell in the measurement report are extracted.
Specifically, for each grid, a cell corresponding to the grid is intersected with a cell corresponding to the measurement report, so that an intersection is screened out between the grid and the same cell in the measurement report, wherein one grid corresponds to one intersection.
Preferably, the grid including the global cell id in each grid is determined according to the global cell id of the primary cell in the measurement report, and then the intersection of the cell corresponding to each grid including the global cell id and the cell corresponding to the measurement report is determined, so as to reduce the amount of calculation.
And 204, calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulated reference signal level of the corresponding cell.
Specifically, for each intersection (grid), the reference signal distance between the reference signal simulation level of all cells in the intersection and the reference signal true level of the corresponding cell is calculated as the reference signal distance between the measurement report and the grid. Preferably, the distance d of the measurement report from the reference signal of each grid is calculated using the following formula:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
Specifically, the grid having the smallest distance from the reference signal of the measurement report is used as the grid to which the measurement report belongs.
According to the embodiment of the invention, the grid to which each measurement report belongs is determined according to the signal distance between each measurement report and the grid, so that a premise is provided for determining the reference signal level corresponding to each grid.
Preferably, in step 102, according to the grid to which each measurement report belongs, the reference signal level and the received carrier-to-interference ratio corresponding to each grid are determined, as shown in fig. 3, which specifically includes:
step 301, according to the grid to which each measurement report belongs, counting the measurement report corresponding to each grid.
Specifically, after the grid to which each measurement report belongs is determined, the measurement report corresponding to each grid may be counted, where each grid may correspond to only one measurement report or a plurality of measurement reports.
One grid may correspond to a plurality of reference signal levels, and may also correspond to one reference signal level.
Specifically, when one grid corresponds to a plurality of reference signal levels, the ratio of each reference signal level to the total number of grids corresponding to the preset area is calculated, so as to obtain the receiving carrier-to-interference ratio with the same number of the reference signal levels. The calculation mode of receiving the carrier-to-interference ratio RS-SINR is as follows:
wherein RSRP is any reference signal level.
Therefore, the real level of the reference signal in the measurement report is used as the level of the reference signal corresponding to the grid, and the network coverage quality detection result can be more accurate.
Preferably, in step 103, the network coverage quality of the preset area is detected according to the reference signal level and the received carrier-to-interference ratio corresponding to each grid, as shown in fig. 4, specifically including:
Specifically, for each grid, the maximum reference signal level in the reference signal levels corresponding to the grid is determined, and the maximum receiving carrier-to-interference ratio in the receiving carrier-to-interference ratios corresponding to the grid is determined.
Specifically, the maximum reference signal level corresponding to each grid is determined, the number of the maximum reference signal levels larger than a first preset threshold is determined, and the number is used as the first grid number. The first preset threshold may be determined according to actual conditions or experimental results, and is not limited herein.
Specifically, the maximum receiving carrier-to-interference ratio corresponding to each grid is determined, the number of the maximum receiving carrier-to-interference ratios larger than a second preset threshold is determined, and the number is used as the second grid number. The second preset threshold may be determined according to actual conditions or experimental results, and is not limited herein.
Specifically, the first grid number reflects the size of an area with a strong received signal in the preset area to a certain extent, that is, the first grid number reflects the size of an area with good network coverage in the preset area to a certain extent; the second grid number reflects to some extent the size of the area of the preset area where the network quality is better. The embodiment of the invention jointly utilizes the network coverage and the network quality to detect the network coverage quality of the preset area.
Preferably, in step 404, the network coverage quality of the preset area is detected according to the first grid number, the second grid number and the total number of grids corresponding to the preset area, as shown in fig. 5, specifically including:
Specifically, the network coverage satisfaction rate is calculated as follows:
wherein M represents a first grid number, and L represents the total number of grids in the preset area.
Specifically, the network quality satisfaction rate is calculated as follows:
wherein N represents the second number of grids, and L represents the total number of grids in the preset area.
The network quality satisfaction rate P1 and the network coverage satisfaction rate P2 can also be calculated in a percentage manner:
wherein M represents a first grid number, N represents a second grid number, and L represents the total number of grids in the preset area.
Specifically, the calculation formula of the network coverage quality Y is as follows: y is P1 × a + P2 × b, where a and b are weights corresponding to P1 and P2, respectively, and a + b is 1. The importance of network coverage is reflected by the size of the weight a, and the larger the a is, the higher the requirement on the network coverage is; the importance of the network quality is reflected by the size of the weight b, and the larger b indicates the higher requirement on the network quality.
And 505, determining that the network coverage quality does not meet the requirement.
According to the embodiment of the invention, the network coverage satisfaction rate and the network quality satisfaction rate are determined through the reference signal level and the receiving carrier-to-interference ratio selected from all grids in the preset area, and the network coverage quality in the preset area is detected according to the network coverage satisfaction rate and the network quality satisfaction rate, so that the accuracy of the network coverage quality can be improved to a certain extent.
Preferably, in step 505, when it is determined that the network coverage quality does not meet the requirement, the broadcast beam weight of the antenna in the preset area is adjusted according to a pre-established antenna broadcast beam weight library.
Specifically, when the network coverage quality in the preset area is poor, the network coverage quality can be optimized by adjusting the antenna broadcast beam weight in the preset area, specifically, an antenna broadcast beam weight library can be established in advance, when the network coverage quality does not meet the requirement, a group of broadcast beam weights are selected from the weight library to adjust the antenna broadcast beam weight, the network coverage quality of the preset area after the broadcast beam weight adjustment is detected, if the detection result does not meet the requirement, a group of broadcast beam weights are selected from the weight library again to adjust the antenna broadcast beam weight, and then the network coverage quality of the preset area after the broadcast beam weight adjustment is detected until the network coverage quality in the preset area meets the requirement.
And if the broadcast beam weight value which can meet the required network coverage quality requirement does not exist in the broadcast beam weight value library, selecting a group of weight values with the best network coverage quality as the broadcast beam weight values of the antennas in the preset area. In the antenna broadcast beam weight library, different antenna types correspond to different broadcast beam weights.
Specifically, the network coverage quality detection method in the embodiment shown in fig. 1 is used to detect the network coverage quality of the preset area after the broadcast beam weight is adjusted, where after the antenna broadcast beam weight is adjusted, a measurement report in the preset area may be collected again, and a reference signal level and a received carrier-to-interference ratio corresponding to each grid are determined according to the measurement report, so that the network coverage quality of the preset area is detected according to the reference signal level and the received carrier-to-interference ratio corresponding to each grid, and the reference signal level and the received carrier-to-interference ratio corresponding to each grid in the preset area may also be determined in the following manner:
after the network coverage quality in the preset area is detected for the first time by using the embodiment shown in fig. 1, obtaining a cell corresponding to each grid and a reference signal level of the cell corresponding to each grid, taking the reference signal level of the cell corresponding to each grid determined when the network coverage quality of the preset area is detected for the first time as an initial reference signal level corresponding to the grid, and taking an antenna gain corresponding to each antenna when the network coverage quality of the preset area is detected for the first time as an initial antenna gain, then determining, for each cell corresponding to each grid, a reference signal level of the cell corresponding to the grid after the broadcast beam weight is adjusted at the grid according to the following method:
for each grid and each cell corresponding to the grid, assuming that the grid is n and the cell is m, the reference signal level R of the cell m at the grid nTDL(n)＝PRSRP(Cell(m))+GAINantenna(m)-PLTDL(n)Wherein P isRSRP(Cell(m))Signal transmission power, GAIN, of RS channel for cell mantenna(m)Initial antenna gain, R, at the line connecting the center point of grid n and cell mTDL(n)Reference signal level, PL, at grid n for cell mTDL(n)Is the radio propagation loss of the signal from cell m to grid n.
In particular, PLTDL(n)Can be calculated according to the formula: PLTDL(n)＝P'RSRP(Cell(m))+GAIN'antenna(m)-R'TDL(n)Wherein P isRSRP(Cell(m))Initial signal transmit power, GAIN, for RS channel of cell mantenna(m)Initial antenna gain, R, at the line connecting the center point of grid n and cell mTDL(n)The initial reference signal level at grid n for cell m.
The received carrier-to-interference ratio of the cell m at the grid n is calculated by adopting the following method:
According to the method for determining the reference signal level and the received carrier-to-interference ratio corresponding to each grid, the reference signal level and the received carrier-to-interference ratio corresponding to each grid can be determined relatively quickly due to the fact that a measurement report of a preset area does not need to be collected again, and therefore network coverage quality in the preset area can be detected relatively quickly. After the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid are determined in the mode, a network coverage quality detection result in a preset area is obtained through simulation according to the reference signal level and the receiving carrier-to-interference ratio corresponding to each grid, and when the simulation detection result meets the requirement, the adjusted antenna broadcast beam weight is applied to the antenna in the real network environment of the preset area.
Preferably, after the antenna broadcast beam weight is adjusted, the reference signal level and the receiving carrier corresponding to each grid can be determined by acquiring the measurement report in the preset region again, and the network coverage quality in the preset region is detected according to the reference signal level and the receiving carrier corresponding to each grid. In the preferred embodiment, the measurement report in the preset area is adopted to detect the network coverage quality, so that the detection result is more accurate.
Based on the same inventive concept as the network coverage quality detection method provided in the foregoing embodiment, an embodiment of the present invention further provides a network coverage quality detection apparatus, as shown in fig. 6, including:
a first determining unit 601, configured to collect measurement reports generated in a preset region within a preset time period, and determine a grid to which each measurement report belongs, where rasterization processing is performed in advance in the preset region;
a second determining unit 602, configured to determine, according to the grid to which each measurement report belongs, a reference signal level and a received carrier-to-interference ratio corresponding to each grid;
a detecting unit 603, configured to detect network coverage quality of the preset area according to a reference signal level and a received carrier-to-interference ratio corresponding to each grid.
Preferably, in the apparatus, when determining the grid to which each measurement report belongs, the first determining unit is specifically configured to:
simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell;
determining a cell corresponding to each measurement report and a reference signal true level of the cell for each measurement report;
determining the intersection of the cell corresponding to each grid and the cell corresponding to the measurement report;
calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulation reference signal level of the corresponding cell;
and determining the grid with the minimum reference signal distance as the grid to which the measurement report belongs.
Preferably, in the apparatus, the first determining unit calculates the reference signal distance d between the measurement report and each grid by using the following formula:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
Preferably, in the apparatus, the second determining unit is specifically configured to:
counting the measurement report corresponding to each grid according to the grid to which each measurement report belongs;
taking the reference signal real level in the measurement report corresponding to each grid as the reference signal level corresponding to the grid;
and taking the ratio of the reference signal level corresponding to each grid to the total number of the grids corresponding to the preset area as the receiving carrier-to-interference ratio corresponding to the grid.
Preferably, in the apparatus, the detection unit is specifically configured to:
determining the maximum reference signal level corresponding to each grid and the maximum receiving carrier-to-interference ratio corresponding to each grid;
determining the number of the maximum reference signal levels which are greater than a first preset threshold value in the maximum reference signal levels, and taking the grid number corresponding to the number of the maximum reference signal levels which are greater than the first preset threshold value as a first grid number;
determining the number of the maximum receiving carrier-to-interference ratios which are greater than a second preset threshold in the maximum receiving carrier-to-interference ratios, and taking the grid number corresponding to the number of the maximum receiving carrier-to-interference ratios which are greater than the second preset threshold as a second grid number;
and detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of the grids corresponding to the preset area.
Preferably, in the apparatus, when the detecting unit detects the network coverage quality of the preset area according to the first grid number, the second grid number, and the total number of grids corresponding to the preset area, the detecting unit is specifically configured to:
determining a network coverage satisfaction rate according to the ratio of the first grid number to the total grid number;
determining the network quality satisfaction rate according to the ratio of the second grid number to the total grid number;
weighting and summing the network coverage satisfaction rate and the network quality satisfaction rate to determine the network coverage quality of the preset area;
when the network coverage quality is determined to be not less than a third preset threshold value, determining that the network coverage quality meets requirements;
and when the network coverage quality is determined to be less than a third preset threshold value, determining that the network coverage quality does not meet the requirement.
Preferably, in the apparatus, when the detecting unit determines that the network coverage quality does not meet the requirement, the detecting unit is further configured to:
and adjusting the broadcast beam weight of the antenna in the preset area according to a pre-established antenna broadcast beam weight library.
The network coverage quality detection method and the device provided by the embodiment of the invention have the following beneficial effects: the embodiment of the invention can more comprehensively detect the network coverage quality in the preset area by positioning the grid to which each measurement report belongs and counting the measurement report corresponding to each grid, and according to the real level of the reference signal in the measurement report corresponding to each grid and the receiving carrier-to-interference ratio corresponding to each grid, so that the detection result of the network coverage quality is more accurate.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (12)
1. A network coverage quality detection method is characterized by comprising the following steps:
collecting measurement reports generated in a preset time period in a preset area, and determining a grid to which each measurement report belongs, wherein the preset area is subjected to rasterization in advance;
determining a reference signal level and a receiving carrier-to-interference ratio corresponding to each grid according to the grid to which each measurement report belongs;
determining the maximum reference signal level corresponding to each grid and the maximum receiving carrier-to-interference ratio corresponding to each grid;
determining the number of the maximum reference signal levels which are greater than a first preset threshold value in the maximum reference signal levels, and taking the grid number corresponding to the number of the maximum reference signal levels which are greater than the first preset threshold value as a first grid number;
determining the number of the maximum receiving carrier-to-interference ratios which are greater than a second preset threshold in the maximum receiving carrier-to-interference ratios, and taking the grid number corresponding to the number of the maximum receiving carrier-to-interference ratios which are greater than the second preset threshold as a second grid number;
and detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of the grids corresponding to the preset area.
2. The method of claim 1, wherein determining the grid to which each measurement report belongs specifically comprises:
simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell;
determining a cell corresponding to each measurement report and a reference signal true level of the cell for each measurement report;
determining the intersection of the cell corresponding to each grid and the cell corresponding to the measurement report;
calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulation reference signal level of the corresponding cell;
and determining the grid with the minimum reference signal distance as the grid to which the measurement report belongs.
3. The method of claim 2, wherein the reference signal distance d of the measurement report from each grid is calculated using the following formula:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
4. The method of claim 1, wherein determining the reference signal level and the received carrier-to-interference ratio corresponding to each grid according to the grid to which each measurement report belongs comprises:
counting the measurement report corresponding to each grid according to the grid to which each measurement report belongs;
taking the reference signal real level in the measurement report corresponding to each grid as the reference signal level corresponding to the grid;
and taking the ratio of the reference signal level corresponding to each grid to the total number of the grids corresponding to the preset area as the receiving carrier-to-interference ratio corresponding to the grid.
5. The method of claim 1, wherein detecting the network coverage quality of the preset area according to the first grid number, the second grid number, and the total number of grids corresponding to the preset area specifically comprises:
determining a network coverage satisfaction rate according to the ratio of the first grid number to the total grid number;
determining the network quality satisfaction rate according to the ratio of the second grid number to the total grid number;
weighting and summing the network coverage satisfaction rate and the network quality satisfaction rate to determine the network coverage quality of the preset area;
when the network coverage quality is determined to be not less than a third preset threshold value, determining that the network coverage quality meets requirements;
and when the network coverage quality is determined to be less than a third preset threshold value, determining that the network coverage quality does not meet the requirement.
6. The method of claim 5, wherein when it is determined that the network coverage quality does not meet the requirement, the broadcast beam weights of the antennas in the preset area are adjusted according to a pre-established antenna broadcast beam weight library.
7. A network coverage quality detection apparatus, comprising:
the device comprises a first determining unit, a second determining unit and a processing unit, wherein the first determining unit is used for collecting measurement reports generated in a preset area within a preset time period and determining a grid to which each measurement report belongs, and the preset area is subjected to rasterization in advance;
a second determining unit, configured to determine, according to the grid to which each measurement report belongs, a reference signal level and a received carrier-to-interference ratio corresponding to each grid;
the detection unit is used for determining the maximum reference signal level corresponding to each grid and the maximum receiving carrier-to-interference ratio corresponding to each grid;
determining the number of the maximum reference signal levels which are greater than a first preset threshold value in the maximum reference signal levels, and taking the grid number corresponding to the number of the maximum reference signal levels which are greater than the first preset threshold value as a first grid number;
determining the number of the maximum receiving carrier-to-interference ratios which are greater than a second preset threshold in the maximum receiving carrier-to-interference ratios, and taking the grid number corresponding to the number of the maximum receiving carrier-to-interference ratios which are greater than the second preset threshold as a second grid number;
and detecting the network coverage quality of the preset area according to the first grid number, the second grid number and the total number of the grids corresponding to the preset area.
8. The apparatus of claim 7, wherein the first determining unit is configured to collect measurement reports generated in a preset area within a preset time period, and determine a grid to which each measurement report belongs, and when the preset area is pre-rasterized, the first determining unit is specifically configured to:
simulating to obtain a cell corresponding to each grid and a reference signal simulation level of the cell;
determining a cell corresponding to each measurement report and a reference signal true level of the cell for each measurement report;
determining the intersection of the cell corresponding to each grid and the cell corresponding to the measurement report;
calculating the distance between the measurement report and the reference signal of each grid according to the real reference signal level of each cell in each intersection and the simulation reference signal level of the corresponding cell;
and determining the grid with the minimum reference signal distance as the grid to which the measurement report belongs.
9. The apparatus of claim 8, wherein the first determining unit calculates the reference signal distance d of the measurement report from each grid using the following formula:
wherein s isiIndicating the simulated level of the reference signal, s, corresponding to cell i in any intersectioni' represents a reference signal true level corresponding to a cell i in the any intersection, and n represents the total number of cells in the any intersection.
10. The apparatus of claim 7, wherein the second determining unit is specifically configured to:
counting the measurement report corresponding to each grid according to the grid to which each measurement report belongs;
taking the reference signal real level in the measurement report corresponding to each grid as the reference signal level corresponding to the grid;
and taking the ratio of the reference signal level corresponding to each grid to the total number of the grids corresponding to the preset area as the receiving carrier-to-interference ratio corresponding to the grid.
11. The apparatus of claim 7, wherein the detecting unit, when detecting the network coverage quality of the preset area according to the first grid number, the second grid number, and the total number of grids corresponding to the preset area, is specifically configured to:
determining a network coverage satisfaction rate according to the ratio of the first grid number to the total grid number;
determining the network quality satisfaction rate according to the ratio of the second grid number to the total grid number;
weighting and summing the network coverage satisfaction rate and the network quality satisfaction rate to determine the network coverage quality of the preset area;
when the network coverage quality is determined to be not less than a third preset threshold value, determining that the network coverage quality meets requirements;
and when the network coverage quality is determined to be less than a third preset threshold value, determining that the network coverage quality does not meet the requirement.
12. The apparatus as claimed in claim 11, wherein said detecting unit, when determining that said network coverage quality does not meet a requirement, is further configured to:
and adjusting the broadcast beam weight of the antenna in the preset area according to a pre-established antenna broadcast beam weight library.
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| CN109982365B (en) * | 2017-12-27 | 2020-08-18 | 中国移动通信集团公司 | Antenna feeder problem checking method and device based on simulation and MRO data |
| CN108307427B (en) * | 2018-02-09 | 2021-10-26 | 北京天元创新科技有限公司 | LTE network coverage analysis and prediction method and system |
| CN108462938A (en) * | 2018-03-09 | 2018-08-28 | 深圳市网信联动通信技术股份有限公司 | It is a kind of to position overlapping covered method and system based on 4/5G mobile communications networks |
| CN108834169B (en) * | 2018-07-04 | 2021-05-14 | 中国联合网络通信集团有限公司 | Method and device for determining coverage capability |
| CN110730466B (en) | 2018-07-16 | 2023-05-26 | 中兴通讯股份有限公司 | Method and device for determining broadcast beam weight, network element and storage medium |
| CN111385039B (en) * | 2018-12-30 | 2022-04-22 | 上海华为技术有限公司 | Method and device for adjusting cell broadcast beam parameters |
| CN111491304B (en) | 2019-01-28 | 2021-10-22 | 华为技术有限公司 | Method for processing broadcast beam and communication device |
| CN109831737B (en) * | 2019-02-25 | 2021-08-03 | 广州市香港科大霍英东研究院 | Bluetooth positioning method, device, equipment and system based on confidence degree |
| CN112469066B (en) * | 2019-09-09 | 2023-02-28 | 中国移动通信集团河北有限公司 | 5G network coverage evaluation method and device |
| CN113055925B (en) * | 2019-12-26 | 2022-12-02 | 中国移动通信集团上海有限公司 | Network coverage information acquisition method, device, equipment and computer storage medium |
| CN113133022B (en) * | 2019-12-31 | 2022-07-01 | 中国移动通信集团重庆有限公司 | Download rate improving method and system based on MIMO multipath construction |
| CN114363910B (en) * | 2020-10-13 | 2023-11-03 | 中国移动通信集团设计院有限公司 | 5G public channel planning simulation method and device, electronic equipment and storage medium |
| CN112203317B (en) * | 2020-10-20 | 2022-04-08 | 中国联合网络通信集团有限公司 | Network coverage analysis method and device |
| CN114466366B (en) * | 2020-11-09 | 2023-08-01 | 中国移动通信集团河南有限公司 | Antenna weight optimization method and device and electronic equipment |
| CN115396907B (en) * | 2022-08-18 | 2023-07-18 | 中国联合网络通信集团有限公司 | Method, device and storage medium for determining optimized cell |
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| CN102333339B (en) * | 2011-09-22 | 2015-07-08 | 华为技术有限公司 | Calibration method and device of coverage database |
| CN103906104B (en) * | 2012-12-31 | 2018-03-23 | 中国移动通信集团内蒙古有限公司 | A kind of method and device for positioning covering cavity |
| CN104378769B (en) * | 2014-11-14 | 2017-09-15 | 江苏省邮电规划设计院有限责任公司 | TD SCDMA base station planning point automatic point selection methods based on coverage prediction |
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