CN114286383A - Network quality determination method, device and storage medium - Google Patents
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Abstract
The application provides a network quality determination method, a network quality determination device and a storage medium, relates to the technical field of communication, and can determine the network quality of a road section. The method comprises the following steps: determining a plurality of first grids; each of the plurality of first grids comprises at least one network quality parameter; determining a plurality of second grids of which the number of adjacent grids is greater than or equal to a preset threshold value in the plurality of first grids; determining a preset road section according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and a grid between the plurality of second grids; and determining the network quality of the preset road section according to the network quality parameters of each grid in the preset road section. The embodiment of the application is used in the network quality determination process.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, and a storage medium for determining network quality.
Background
In the related art, when determining the network quality of a target area by using a drive test method, a drive test device is required to test the network quality information of each point on each road of the target area; and then the network quality determining device matches the longitude and latitude information of each point location with the longitude and latitude information of the target road, so as to map the network quality parameters onto the corresponding road, and determine the network quality of the road according to the network quality parameters mapped by each road. However, since there are many road test data in the road test process, if the road test data are matched with the longitude and latitude of the road one by one, the calculation amount is too large when determining the network quality of the road.
Disclosure of Invention
The application provides a network quality determination method, a network quality determination device and a storage medium, which can solve the problem of large calculation amount when determining the network quality of a road in a drive test process.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for determining network quality, where the method includes: determining a plurality of first grids; each of the plurality of first grids comprises at least one network quality parameter; determining a plurality of second grids of which the number of adjacent grids is greater than or equal to a preset threshold value in the plurality of first grids; determining a preset road section according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and a grid between the plurality of second grids; and determining the network quality of the preset road section according to the network quality parameters of each grid in the preset road section.
With reference to the first aspect, in a possible implementation manner, determining a preset road segment according to a plurality of second grids and a plurality of first grids includes: step 1, determining a third grid; the third grid is any one of a plurality of second grids; step 2, determining an adjacent grid of the third grid as a fourth grid; step 3, determining whether the fourth grid is a grid of the plurality of second grids; step 4, if not, re-determining an adjacent grid of the fourth grid as the fourth grid, and executing the step 3; and 5, if so, determining that the preset road section comprises a third grid and a fourth grid.
With reference to the first aspect, in a possible implementation manner, determining the network quality of the preset road segment according to each grid network quality parameter in the preset road segment includes: determining a network quality parameter of each first grid; determining the network quality scores of the first grids according to the network quality parameters of the first grids; determining the network quality scores of the grids in the preset road section according to the network quality scores of the first grids; and determining the network quality score of the preset road section according to the network quality scores of the grids in the preset road section.
With reference to the first aspect, in a possible implementation manner, determining a plurality of first grids includes: acquiring network quality parameters of a plurality of positions; determining a plurality of first grids according to the position information of the plurality of positions; each first grid of the plurality of first grids comprises at least one location of a plurality of locations; a network quality parameter for a first grid is determined based on network quality parameters for at least one location included in the first grid.
With reference to the first aspect, in a possible implementation manner, the network quality parameter includes: network abnormal events, mean opinion MOS values, block error rate bler values, reference signal received power RSRP and signal to interference plus noise ratio SINR; determining a network quality score of each first grid according to the network quality parameters of each first grid, comprising: determining the network quality score of a first grid as a first score under the condition that the first grid meets a first preset condition; the first preset condition includes: the existence of a network exception event; determining the network quality score of a first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: the method comprises the following steps that no network abnormal event exists, the MOS value is smaller than a first threshold value, and the bler value is larger than a second threshold value; determining the network quality score of a first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: no network abnormal event and no MOS value exist; the third preset condition further comprises at least one of: the value of bler is less than or equal to the second threshold, the value of RSRP is less than or equal to the third threshold, and the value of SINR is less than or equal to the fourth threshold; determining the network quality score of a first grid as a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: no network abnormal event, no MOS value and no bler value exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than a third threshold and less than or equal to a fifth threshold, and the SINR value is greater than a fourth threshold and less than or equal to a sixth threshold; the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold; determining the network quality score of a first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
In a second aspect, an apparatus for determining network quality is provided, including: a processing unit; a processing unit for determining a plurality of first grids; each of the plurality of first grids comprises at least one network quality parameter; the processing unit is further used for determining a plurality of second grids, the number of adjacent grids in the plurality of first grids is greater than or equal to a preset threshold value; the processing unit is further used for determining a preset road section according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and a grid between the plurality of second grids; and the processing unit is also used for determining the network quality of the preset road section according to the network quality parameters of each grid in the preset road section.
With reference to the second aspect, in a possible implementation manner, the processing unit is specifically configured to execute the following steps: step 1, determining a third grid; the third grid is any one of a plurality of second grids; step 2, determining an adjacent grid of the third grid as a fourth grid; step 3, determining whether the fourth grid is a grid of the plurality of second grids; step 4, if not, re-determining an adjacent grid of the fourth grid as the fourth grid, and executing the step 3; and 5, if so, determining that the preset road section comprises a third grid and a fourth grid.
With reference to the second aspect, in a possible implementation manner, the processing unit is specifically further configured to: determining a network quality parameter of each first grid; determining the network quality scores of the first grids according to the network quality parameters of the first grids; determining the network quality scores of the grids in the preset road section according to the network quality scores of the first grids; and determining the network quality score of the preset road section according to the network quality scores of the grids in the preset road section.
With reference to the second aspect, in a possible implementation manner, the apparatus further includes: an acquisition unit; an acquisition unit configured to acquire network quality parameters of a plurality of locations; a processing unit further to: determining a plurality of first grids according to the position information of the plurality of positions; each first grid of the plurality of first grids comprises at least one location of a plurality of locations; a processing unit further to: a network quality parameter for a first grid is determined based on network quality parameters for at least one location included in the first grid.
With reference to the second aspect, in a possible implementation manner, the network quality parameter includes: network abnormal events, mean opinion MOS values, block error rate bler values, reference signal received power RSRP and signal to interference plus noise ratio SINR; the processing unit is specifically further configured to: determining the network quality score of a first grid as a first score under the condition that the first grid meets a first preset condition; the first preset condition includes: the existence of a network exception event; determining the network quality score of a first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: the method comprises the following steps that no network abnormal event exists, the MOS value is smaller than a first threshold value, and the bler value is larger than a second threshold value; determining the network quality score of a first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: no network abnormal event and no MOS value exist; the third preset condition further comprises at least one of: the value of bler is less than or equal to the second threshold, the value of RSRP is less than or equal to the third threshold, and the value of SINR is less than or equal to the fourth threshold; determining the network quality score of a first grid as a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: no network abnormal event, no MOS value and no bler value exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than a third threshold and less than or equal to a fifth threshold, and the SINR value is greater than a fourth threshold and less than or equal to a sixth threshold, the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold; (ii) a Determining the network quality score of a first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
In a third aspect, the present application provides a network quality determination apparatus, including: a processor and a communication interface; the communication interface is coupled to a processor for executing a computer program or instructions for implementing the network quality determination method as described in the first aspect and any possible implementation form of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein instructions that, when executed on a terminal, cause the terminal to perform the network quality determination method as described in the first aspect and any one of the possible implementations of the first aspect.
In the present application, the names of the above-mentioned network quality determination apparatuses do not limit the devices or functional modules themselves, and in actual implementation, the devices or functional modules may appear by other names. Insofar as the functions of the respective devices or functional blocks are similar to those of the present invention, they are within the scope of the claims of the present invention and their equivalents.
These and other aspects of the invention will be more readily apparent from the following description.
The technical scheme provided by the application at least brings the following beneficial effects: in the application, a network quality determining device determines a preset road section according to the adjacent relation of each grid in a first grid; and then determining the network quality parameters of the preset road section according to the network quality parameters of the grids included in the preset road section. Based on the method, after the network quality device acquires the drive test data, the grid division is directly carried out according to the position information of the drive test data, the network quality parameters of the preset road section can be determined according to the connection relation of the grids, the longitude and the latitude between each network quality parameter and the road section do not need to be matched one by one, and the calculated amount of the network quality of the preset road section determined by the network quality determination device is greatly reduced.
Drawings
Fig. 1 is a schematic structural diagram of a network quality determination apparatus according to an embodiment of the present application;
fig. 2 is a flowchart of a network quality determination method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a preset road segment determined according to a first grid according to an embodiment of the present application;
fig. 4 is a flowchart of another network quality determination method provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a network quality determining apparatus according to an embodiment of the present application.
Detailed Description
The network quality determination method and apparatus provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In order to implement the network quality determining method provided by the embodiment of the present application, an embodiment of the present application provides a network quality determining apparatus, configured to execute the network quality determining method, where the network quality determining apparatus may be the network quality determining apparatus or a module in the network quality determining apparatus referred to in the present application; or a chip in the network quality determining apparatus, or other apparatuses for executing the network quality determining method, which is not limited in this application.
Fig. 1 is a schematic structural diagram of a network quality determining apparatus according to an embodiment of the present application. As shown in fig. 1, the network quality determination apparatus 100 includes at least one processor 101, a communication line 102, and at least one communication interface 104, and may further include a memory 103. The processor 101, the memory 103 and the communication interface 104 may be connected via a communication line 102.
The processor 101 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as: one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs).
The communication link 102 may include a path for communicating information between the aforementioned components.
The communication interface 104 is used for communicating with other devices or a communication network, and may use any transceiver or the like, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), and the like.
The memory 103 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to include or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a possible design, the memory 103 may exist separately from the processor 101, that is, the memory 103 may be a memory external to the processor 101, in which case, the memory 103 may be connected to the processor 101 through the communication line 102, and is used for storing execution instructions or application program codes, and is controlled by the processor 101 to execute, so as to implement the network quality determination method provided in the following embodiments of the present application. In yet another possible design, the memory 103 may also be integrated with the processor 101, that is, the memory 103 may be an internal memory of the processor 101, for example, the memory 103 is a cache memory, and may be used for temporarily storing some data and instruction information.
As one implementation, the processor 101 may include one or more CPUs, such as CPU0 and CPU1 of FIG. 1. As another implementation, the network quality determination apparatus 100 may include multiple processors, such as the processor 101 and the processor 107 of fig. 1. As yet another implementation, the network quality determination apparatus 100 may further include an output device 105 and an input device 106.
As shown in fig. 2, a flowchart of a network quality determining method provided in the embodiment of the present application is shown, where the method includes the following steps:
s201, the network quality determination device determines a plurality of first grids.
Wherein each of the plurality of first grids comprises at least one network quality parameter.
An example of the network quality parameter according to an embodiment of the present application includes at least one of: network anomaly, Mean Opinion Score (MOS) value, block error rate (bler) value, Reference Signal Receiving Power (RSRP), signal to interference plus noise ratio (SINR).
In one possible implementation manner, the network quality determining apparatus obtains a network quality parameter on a road of the target area measured by using a drive test method. The network quality determination device performs rasterization division on the drive test data according to the measured longitude and latitude information of the network quality parameters to obtain a plurality of first grids. A first grid includes latitude and longitude information of the network quality parameter in the first grid.
In one possible implementation manner, the network quality determination device obtains the location information of the target area, and divides the target area into a plurality of first grids according to the location information of the target area. The network quality determining device acquires the acquired network quality parameters of the target area, and determines the location information corresponding to each network quality parameter (for example, the location information of the acquired network quality parameters, or the location information of the network quality determining device that generates the network quality parameters). The network quality determining means matches the network quality parameter into the first grid of its location information based on the location information of the network quality parameter and the location information of each first grid.
It should be noted that the network quality determining apparatus may also determine the network quality parameters in the plurality of first grids and the respective first grids in other manners, which is not limited in this application.
As an example, the first grid in the embodiment of the present application may be a square grid having a size of 10m × 10 m. It is understood that the first grid may be a grid of other sizes, which is not limited in this application.
S202, the network quality determination device determines a plurality of second grids, the number of adjacent grids in the first grids is larger than or equal to a preset threshold value.
In a possible implementation manner, the value of the preset threshold may be 2. That is, the second grid is specifically: the first grid has a grid of three or more adjacent grids.
Specifically, the network quality determination device determines the distance between any one first grid and the other first grids according to the position information of each first grid, and determines that one first grid is an adjacent grid if the distance between the first grid and the other first grid (for example, the distance between the center points of the two first grids) is smaller than a preset distance.
After the network quality determination means determines the neighboring cells of each first cell, the network quality determination means determines the number of neighboring cells of each first cell, and determines the first cell whose number of neighboring cells is greater than or equal to 2 as the second cell.
In one example, the network quality determination apparatus establishes an adjacent grid relation table for each first grid, and determines the number of adjacent grids for each first grid according to the adjacent grid relation table.
TABLE 1 neighboring grid relation Table
Alternatively, the preset distance may be determined according to the size of the first grid. For example, the preset distance is determined to be 1.5 times the side length of the first grid. At this time, in the case where the first grid is a square grid of 10m × 10m, the preset distance is 15 m.
And S203, the network quality determining device determines the preset road section according to the plurality of second grids and the plurality of first grids.
In a possible implementation manner, in the case that the network quality parameter is the drive test data acquired by the network quality determining device, the position corresponding to the network quality parameter is usually on the road in the target area, and accordingly, the first grid is also the grid located on the road.
Specifically, as shown in fig. 3, if the first grid is located at the intersection, the first grid generally has four adjacent grids (in this case, the first grid may be also referred to as a class a grid); if the first grid is located at the intersection, the first grid generally has three adjacent grids (in this case, the first grid may also be referred to as a B-type grid); if the first grid is located on the non-cross route segment, the first grid generally has two adjacent grids (in this case, the first grid may also be referred to as a C-type grid); if the first grid is the starting point or the ending point of the test, the first grid usually has one neighboring grid (in this case, the first grid may be also referred to as a D-type grid). The network quality determination device determines the type a grid and the type B grid as a second grid.
Thus, the present application determines a first grid having three and more adjacent grids as a second grid. At this time, the second grid is a grid located at the intersection. The network quality determination device divides the road sections of the road in the target area according to the intersections and the connection relation between grids of the intersections to determine the preset road sections.
And S204, the network quality determining device determines the network quality of the preset road section according to the grid network quality parameters in the preset road section.
In one possible implementation manner, the network quality determining device determines the network quality parameters of all the grids in the preset road section as the network quality parameters of the preset road section. The network quality determination device determines the network quality of the preset road section according to the network quality parameters of the preset road section.
The scheme at least has the following beneficial effects: in the application, a network quality determining device determines a preset road section according to the adjacent relation of each grid in a first grid; and then determining the network quality parameters of the preset road section according to the network quality parameters of the grids included in the preset road section. Based on the method, after the network quality device acquires the drive test data, the grid division is directly carried out according to the position information of the drive test data, the network quality parameters of the preset road section can be determined according to the connection relation of the grids, the longitude and the latitude between each network quality parameter and the road section do not need to be matched one by one, and the calculated amount of the network quality of the preset road section determined by the network quality determination device is greatly reduced.
In one possible implementation manner, referring to fig. 2, as shown in fig. 4, S201 may be specifically implemented by the following S401-S403:
s401, the network quality determining device obtains network quality parameters of a plurality of positions.
In one possible implementation manner, the network quality parameters at the multiple positions are network quality parameters obtained by the drive test equipment through testing along a road in the target area.
Specifically, the drive test equipment advances along a road to be tested in a target area, tests network quality parameters of each position on the road to be tested according to a set frequency, and records the network quality parameters. After the test is completed, the network quality determining device obtains the network quality parameters tested by the drive test equipment, and determines the network quality parameters tested by the drive test equipment as the network quality parameters of the plurality of positions.
In one example, the data tested by the drive test equipment is a Drive Test (DT) voice network quality parameter. The specific data of the drive test equipment test is shown in the following table 2:
TABLE 2 drive test data sheet
S402, the network quality determination device determines a plurality of first grids according to the position information of the plurality of positions.
Wherein each of the plurality of first grids includes at least one of the plurality of locations.
In one possible implementation manner, the network quality determining apparatus determines a position where the drive test device starts drive test, performs grid division with the position as a starting point, and numbers grids. The network quality determination device determines a first grid including the start drive test position as a first grid # 1; the network quality determination device determines that the adjacent grid of the first grid along the roadside heading direction is a first grid # 2; according to the dividing mode, the network quality determining device performs grid division according to the position information of the network quality parameters in the advancing direction of the drive test equipment until all the network quality parameters are divided into corresponding grids.
It should be noted that the network quality determining apparatus may also divide the plurality of location information in other manners to determine the plurality of first grids, which is not limited in this application.
S403, the network quality determining device determines a network quality parameter of a first grid according to the network quality parameter of at least one location included in the first grid.
In one possible implementation manner, after the network quality determination device performs division according to the location information of the network quality parameter, the location information included in each first grid is determined. For any one of the plurality of first grids, the network quality determination device determines the network quality parameter of the any one of the first grids based on the network quality parameter corresponding to the location information included in the any one of the plurality of first grids.
Specifically, the network quality determination means determines that the number of abnormal events of one first grid includes the number of abnormal events of all positions in the one first grid.
The network quality determination means determines the MOS value of one first grid as the average of the MOS values of all positions in the one first grid.
The network quality determination means determines the Bler value of one first grid as the average of the Bler values of all positions in the one first grid.
The network quality determination device determines the RSRP value of one first grid, and the RSRP value is the average value of the RSRP values of all the positions in the one first grid.
The network quality determining means determines the SINR value of one first grid as the average of the SINR values of all positions in the one first grid.
An example, the network quality parameters of each grid and each grid determined by the network quality determining device are shown in table 3 below:
TABLE 3 quality parameter Table of grid network
The scheme at least has the following beneficial effects: after acquiring the network quality parameters of the drive test, the network quality determination device performs rasterization division according to the position information of the network parameters to obtain each first grid and the network quality parameters in the first grids. Therefore, the embodiment of the application does not need to perform rasterization division on the road and match grids corresponding to the network quality parameters, and further reduces the calculation amount of determining the road network quality by the network quality.
In a possible implementation manner, as shown in fig. 4, the above S203 may be specifically implemented by the following S404 to S408:
and S404, the network quality determination device determines a third grid.
Wherein the third grid is any one of the plurality of second grids.
In one possible implementation manner, in combination with the above S203, the network quality determination apparatus randomly selects one grid from the class a grid and the class B grid as the third grid.
In one example, the third grid selected by the network quality determination apparatus is the first grid #7 shown in table 1.
S405, the network quality determination device selects one grid from the adjacent grids of the third grid as a fourth grid.
In one possible implementation, the network quality determining apparatus determines an adjacent grid of the third grid from the adjacent grid relation table of the current grid, and randomly selects one adjacent grid as the fourth grid.
In an example, in conjunction with table 1 above, the network quality determination apparatus selects the adjacent grid as the first grid #8, and at this time, the network quality determination apparatus takes the first grid #8 as the fourth grid.
S406, the network quality determination device determines whether the fourth grid is the second grid.
If the fourth trellis is not the second trellis, the network quality determination device performs the following S407.
If the fourth grid is the second grid, the network quality determination device performs the following S408.
S407, the network quality determination device determines an adjacent grid of the fourth grid as the fourth grid again, and returns to execute S406.
That is, the network quality determination apparatus sequentially selects the neighboring grids of the currently determined fourth grid until the selected grid is the second grid.
In one example, the network quality determination device determines that the number of neighboring grids of the first grid #8 is 2 and the first grid #8 is a C-type grid, and at this time, the network quality determination device determines that the fourth grid is not the second grid. Further, the network quality determination apparatus determines that the neighboring grids of the first grid #8 are the first grid #7 and the first grid #9, and since the first grid #7 has already been selected, the network quality determination apparatus selects the first grid #9 as a new fourth grid, and performs the above-described S406 with respect to the first grid # 9. Similarly, the first grid #9 is not the second grid, and the network quality determination device sequentially determines that the adjacent grid first grid #10 of the first grid #9 is the fourth grid, the adjacent grid first grid #11 of the first grid #10 is the fourth grid, and the adjacent grid first grid #12 of the first grid #11 is the fourth grid. Since the first grid #12 is the second grid, in the case where the first grid #12 is determined to be the fourth grid, the network quality determination apparatus performs the following S408.
And S408, the network quality determination device determines that the preset road section comprises a third grid and a fourth grid.
That is, in the case where the fourth grid is the second grid, the network quality determination device determines that the preset link includes the third grid and the fourth grid.
Since the third grid and the last determined fourth grid are the second grids, the other grids are the first grids among the plurality of second grids. Therefore, the predetermined road segment we determine includes a plurality of second grids and also includes N first grids. The value of N is an integer.
An example of determining the preset segment by the network quality determination device in combination with the foregoing S407 includes: first grid #7, first grid #8, first grid #9, first grid #10, first grid #11, first grid # 12.
It should be noted that the network quality determination device may repeatedly perform the above S404-S408 for a plurality of times until the road segment division of the target area determined by the network quality determination device is completed after all the first grids have the corresponding preset road segments.
The scheme at least has the following beneficial effects: the network quality determining device determines all grids included between the grids of the two intersections through the process of determining the adjacent grids one by one, and then takes all the grids between the two intersections as the preset road, so that the preset road section and the network quality parameters in the preset road section can be determined quickly and accurately.
In a possible implementation manner, as shown in fig. 4, the above S204 may be specifically implemented by the following S409 to S412.
S409, the network quality determining device determines the network quality parameters of each first grid.
The method for determining the network quality parameters of each first grid by the network quality determination apparatus may be understood with reference to S401 to S403, and is not described herein again.
S410, the network quality determining device determines the network quality scores of the first grids according to the network quality parameters of the first grids.
In a possible implementation manner, in the case that one first grid meets a first preset condition, determining the network quality score of the one first grid as a first score; the first preset condition includes: there is a network exception event.
Determining the network quality score of a first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: no network abnormal event exists, the MOS value is smaller than the first threshold value, and the bler value is larger than the second threshold value.
Determining the network quality score of a first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: no network abnormal event and no MOS value exist; the third preset condition further comprises at least one of: the bler value is less than or equal to the second threshold, the RSRP value is less than or equal to the third threshold, and the SINR value is less than or equal to the fourth threshold.
Determining the network quality score of a first grid as a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: no network abnormal event, no MOS value and no bler value exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than a third threshold and less than or equal to a fifth threshold, and the SINR value is greater than a fourth threshold and less than or equal to a sixth threshold; the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold; .
Determining the network quality score of a first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
In one example, the first score is 0; the second score is 2; the third score was 4 points; the fourth score was 8 points; the fifth score was 10.
The size of the first threshold is 3; the size of the second threshold is 30%; the size of the third threshold is-115 dbm; the size of the fourth threshold is-5 dbm; the magnitude of the fifth threshold is-112 dmb; the size of the sixth threshold is-3 dbm.
S411, the network quality determining device determines the network quality scores of the grids in the preset road section according to the network quality scores of the first grids.
In one possible implementation manner, after the network quality determination device determines the network quality score of each first grid, the first grid belonging to the preset road segment is selected from each first grid, and the network quality score of each first grid belonging to the preset road segment is determined.
And S412, the network quality determining device determines the network quality score of the preset road section according to the network quality scores of the grids in the preset road section.
In one possible implementation manner, the network quality determination device uses an average of the network quality scores of the respective grids in the preset road section as the network quality score of the preset road section.
An example, referring to fig. 3, the network quality score of the first grid #7 in the preset section is 10, the network quality score of the first grid #7 is 8, the network quality score of the first grid #9 is 6, the network quality score of the first grid #10 is 6, the network quality score of the first grid #11 is 4, and the network quality score of the first grid #12 is 8. And averaging the network quality scores of all the grids in the preset road section, and determining that the network quality score of the preset road section is 7.
The scheme at least has the following beneficial effects: the network quality determining device in the embodiment of the application determines the grade of each grid according to the network quality parameters in each grid in a grading mode, and further determines the network quality grade of the preset road section according to the grade of each grid. Based on this, the network quality determination device can unify the scoring standard under the condition that each grid comprises different network quality parameters, thereby establishing a comprehensive and effective network quality scoring method.
It can be seen that the technical solutions provided in the embodiments of the present application are mainly introduced from the perspective of methods. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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.
In the embodiment of the present application, the network quality determination device may be divided into the functional modules according to the method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 5 is a schematic structural diagram of a network quality determining apparatus according to an embodiment of the present application. The network quality determination apparatus includes: an acquisition unit 501 and a processing unit 502.
A processing unit 502 for determining a plurality of first grids; each of the plurality of first grids comprises at least one network quality parameter; the processing unit 502 is further configured to determine a plurality of second grids in the plurality of first grids, where the number of adjacent grids is greater than or equal to a preset threshold; the processing unit 502 is further configured to determine a preset road segment according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and a grid between the plurality of second grids; the processing unit 502 is further configured to determine the network quality of the preset road segment according to the network quality parameter of each grid in the preset road segment.
Optionally, the processing unit 502 is specifically configured to execute the following steps: step 1, determining a third grid; the third grid is any one of a plurality of second grids; step 2, determining an adjacent grid of the third grid as a fourth grid; step 3, determining whether the fourth grid is a grid of the plurality of second grids; step 4, if not, re-determining an adjacent grid of the fourth grid as the fourth grid, and executing the step 3; and 5, if so, determining that the preset road section comprises a third grid and a fourth grid.
Optionally, the processing unit 502 is specifically further configured to: determining a network quality parameter of each first grid; determining the network quality scores of the first grids according to the network quality parameters of the first grids; determining the network quality scores of the grids in the preset road section according to the network quality scores of the first grids; and determining the network quality score of the preset road section according to the network quality scores of the grids in the preset road section.
Optionally, the apparatus further comprises: an acquisition unit 501; an obtaining unit 501, configured to obtain network quality parameters of multiple locations; the processing unit 502 is further configured to: determining a plurality of first grids according to the position information of the plurality of positions; each first grid of the plurality of first grids comprises at least one location of a plurality of locations; the processing unit 502 is further configured to: a network quality parameter for a first grid is determined based on network quality parameters for at least one location included in the first grid.
Optionally, the network quality parameter includes: network abnormal events, mean opinion MOS values, block error rate bler values, reference signal received power RSRP and signal to interference plus noise ratio SINR; the processing unit 502 is further specifically configured to: determining the network quality score of a first grid as a first score under the condition that the first grid meets a first preset condition; the first preset condition includes: the existence of a network exception event; determining the network quality score of a first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: the method comprises the following steps that no network abnormal event exists, the MOS value is smaller than a first threshold value, and the bler value is larger than a second threshold value; determining the network quality score of a first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: no network abnormal event and no MOS value exist; the third preset condition further comprises at least one of: the value of bler is less than or equal to the second threshold, the value of RSRP is less than or equal to the third threshold, and the value of SINR is less than or equal to the fourth threshold; determining the network quality score of a first grid as a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: no network abnormal event, no MOS value and no bler value exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than a third threshold and less than or equal to a fifth threshold, and the SINR value is greater than a fourth threshold and less than or equal to a sixth threshold; the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold; determining the network quality score of a first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
The processing unit 502 may be a processor or a controller, among others. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like. The obtaining unit 501 may be a transceiver circuit or an obtaining interface, etc. The storage unit may be a memory. When the processing unit 502 is a processor, the obtaining unit 501 is an obtaining interface, and the storage unit is a memory, the network quality determining apparatus according to the embodiment of the present application may be the network quality determining apparatus shown in fig. 1.
Through the description of the above embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the foregoing function distribution may be completed by different functional modules according to needs, that is, the internal structure of the network node is divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the module and the network node described above, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the software upgrade method in the above method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the apparatus, the device, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, for technical effects obtained by the apparatus, the computer-readable storage medium, and the computer program product, reference may also be made to the method embodiments described above, and details of the embodiments of the present application are not repeated herein.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A method for determining network quality, comprising:
determining a plurality of first grids; each first grid of the plurality of first grids comprises at least one network quality parameter;
determining a plurality of second grids of which the number of adjacent grids is greater than or equal to a preset threshold value in the plurality of first grids;
determining a preset road section according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and grids between the plurality of second grids;
and determining the network quality of the preset road section according to the network quality parameters of each grid in the preset road section.
2. The method of claim 1, wherein determining the preset road segment from the plurality of second grids and the plurality of first grids comprises:
step 1, determining a third grid; the third grid is any one of the plurality of second grids;
step 2, determining any adjacent grid of the third grid as a fourth grid;
step 3, determining whether the fourth grid is a grid in the plurality of second grids;
step 4, if not, re-determining an adjacent grid of the fourth grid as the fourth grid, and executing the step 3;
and 5, if so, determining that the preset road section comprises the third grid and the fourth grid.
3. The method according to claim 1 or 2, wherein the determining the network quality of the preset road segment according to the network quality parameters of the grids in the preset road segment comprises:
determining a network quality parameter of each first grid;
determining the network quality scores of the first grids according to the network quality parameters of the first grids;
determining the network quality scores of the grids in the preset road section according to the network quality scores of the first grids;
and determining the network quality score of the preset road section according to the network quality score of each grid in the preset road section.
4. The method of claim 3, further comprising:
acquiring network quality parameters of a plurality of positions;
determining a plurality of first grids according to the position information of the plurality of positions; each first grid of the plurality of first grids comprises at least one location of the plurality of locations;
the network quality parameter of one first grid is determined according to the network quality parameter of at least one position included in the one first grid.
5. The method of claim 4, wherein the network quality parameter comprises: network abnormal events, mean opinion MOS values, block error rate bler values, reference signal received power RSRP and signal to interference plus noise ratio SINR;
the determining the network quality score of each first grid according to the network quality parameter of each first grid includes:
determining the network quality score of the first grid as a first score under the condition that the first grid meets a first preset condition; the first preset condition includes: the presence of the network exception event;
determining the network quality score of the first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: the network abnormal event does not exist, the MOS value is smaller than a first threshold value, and the bler value is larger than a second threshold value;
determining the network quality score of the first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: the network abnormal event does not exist, and no MOS value exists; the third preset condition further comprises at least one of: the value of bler is less than or equal to the second threshold, the value of RSRP is less than or equal to the third threshold, and the value of SINR is less than or equal to the fourth threshold;
determining the network quality score of the first grid to be a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: the network abnormal event, the MOS value and the bler value do not exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than the third threshold and less than or equal to a fifth threshold, and the SINR value is greater than the fourth threshold and less than or equal to a sixth threshold; the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold;
determining the network quality score of the first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
6. A network quality determination apparatus, comprising: a processing unit;
the processing unit is used for determining a plurality of first grids; each first grid of the plurality of first grids comprises at least one network quality parameter;
the processing unit is further configured to determine a plurality of second grids in the plurality of first grids, where the number of adjacent grids is greater than or equal to a preset threshold;
the processing unit is further configured to determine a preset road segment according to the plurality of second grids and the plurality of first grids; the preset road section comprises a plurality of grids; the plurality of grids includes: a plurality of second grids, and grids between the plurality of second grids;
and the processing unit is further used for determining the network quality of the preset road section according to the network quality parameters of each grid in the preset road section.
7. The apparatus according to claim 6, wherein the processing unit is specifically configured to perform the following steps:
step 1, determining a third grid; the third grid is any one of the plurality of second grids;
step 2, determining an adjacent grid of the third grid as a fourth grid;
step 3, determining whether the fourth grid is a grid in the plurality of second grids;
step 4, if not, re-determining an adjacent grid of the fourth grid as the fourth grid, and executing the step 3;
and 5, if so, determining that the preset road section comprises the third grid and the fourth grid.
8. The apparatus according to claim 6 or 7, wherein the processing unit is further configured to:
determining a network quality parameter of each first grid;
determining the network quality scores of the first grids according to the network quality parameters of the first grids;
determining the network quality scores of the grids in the preset road section according to the network quality scores of the first grids;
and determining the network quality score of the preset road section according to the network quality score of each grid in the preset road section.
9. The apparatus of claim 8, further comprising: an acquisition unit;
the acquiring unit is used for acquiring network quality parameters of a plurality of positions;
the processing unit is further configured to: determining a plurality of first grids according to the position information of the plurality of positions; each first grid of the plurality of first grids comprises at least one location of the plurality of locations;
the processing unit is further configured to: the network quality parameter of one first grid is determined according to the network quality parameter of at least one position included in the one first grid.
10. The apparatus of claim 9, wherein the network quality parameter comprises: network abnormal events, mean opinion MOS values, block error rate bler values, reference signal received power RSRP and signal to interference plus noise ratio SINR;
the processing unit is specifically further configured to:
determining the network quality score of one first grid as a first score under the condition that the one first grid meets a first preset condition; the first preset condition includes: the presence of the network exception event;
determining the network quality score of the first grid as a second score under the condition that the first grid meets a second preset condition; the second preset condition includes: the network abnormal event does not exist, the MOS value is smaller than a first threshold value, and the bler value is larger than a second threshold value;
determining the network quality score of the first grid as a third score under the condition that the first grid meets a third preset condition; the third preset condition includes: the network abnormal event does not exist, and no MOS value exists; the third preset condition further comprises at least one of: the value of bler is less than or equal to the second threshold, the value of RSRP is less than or equal to the third threshold, and the value of SINR is less than or equal to the fourth threshold;
determining the network quality score of the first grid to be a fourth score under the condition that the first grid meets a fourth preset condition; the fourth preset condition includes: the fourth preset condition includes: the network abnormal event, the MOS value and the bler value do not exist; the fourth preset condition further comprises at least one of: the RSRP value is greater than the third threshold and less than or equal to a fifth threshold, and the SINR value is greater than the fourth threshold and less than or equal to a sixth threshold; the fifth threshold is less than the third threshold; the sixth threshold is less than the fourth threshold;
determining the network quality score of the first grid as a fifth score under the condition that the first grid meets a fifth preset condition; the fifth preset condition includes conditions other than the first preset condition, the second preset condition, the third preset condition, and the fourth preset condition.
11. A network quality determination apparatus, comprising: a processor and a communication interface; the communication interface is coupled to the processor for executing a computer program or instructions for implementing the network quality determination method as claimed in any of claims 1-5.
12. A computer-readable storage medium having instructions stored therein, wherein the instructions, when executed by a computer, cause the computer to perform the network quality determination method of any one of claims 1-5.
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