CN113328882A - Method, device, equipment and storage medium for determining potential off-network users - Google Patents
Method, device, equipment and storage medium for determining potential off-network users Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for determining potential off-network users, which relate to the technical field of mobile communication and can determine the potential off-network users, so that an operator can preferentially solve the network problem of an area with many potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided. The method comprises the following steps: acquiring O-domain data and B-domain data of a user in at least one first cell; determining a network tolerance parameter of a user according to the obtained O-domain data and B-domain data; and when the network tolerance parameter of the user meets a preset condition, determining that the user is a potential off-network user. According to the scheme, whether the user is a potential off-network user can be determined, so that an operator can preferentially solve the network problem of an area with more potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a potential off-network user.
Background
Currently, when an operator plans a network, the operator plans the network in the following manner: firstly, based on user income, preferentially solving the network problem of an area with high user income; based on the user terminal, preferentially solving the network problem of the user terminal aggregation area; thirdly, based on the user service, preferentially solving the network problem of the area with high user service volume; and fourthly, preferentially solving the network problem of the area with poor user perception based on the user perception.
However, when the operator plans the network, the factor that the user may change the operator due to the poor network of the operator is not considered, which results in a large number of potential off-network users. When a potential off-network user is off-network, the income of an operator is influenced.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining potential off-network users, which can determine the potential off-network users, so that an operator can preferentially solve the network problem of an area with many potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for determining a potential off-network user, where the method includes: acquiring O domain data of an operation support system and B domain data of a service support system of a user in at least one first cell; the first cell is a cell where the user resides; determining a network tolerance parameter of the user according to the obtained O-domain data and B-domain data; the network tolerance parameter comprises at least one of a downlink rate or a network coverage degree of the user; and when the network tolerance parameter of the user meets a preset condition, determining the user as a potential off-network user.
According to the method for determining the potential off-network user, the network tolerance parameter of the user is determined through the O domain data and the B domain data of the user, and whether the user is the potential off-network user is determined according to the network tolerance parameter of the user. According to the scheme, whether the user is a potential off-network user can be determined, so that an operator can preferentially solve the network problem of an area with more potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
In a second aspect, the present application provides an apparatus for determining a potential off-network user, the apparatus comprising: an obtaining unit, configured to obtain data of an O domain of an operation support system and data of a B domain of a service support system of a user in at least one first cell; the first cell is a cell where the user resides; a determining unit, configured to determine a network tolerance parameter of the user according to the O-domain data and the B-domain data acquired by the acquiring unit; the network tolerance parameter comprises at least one of a downlink rate or a network coverage degree of the user; the determining unit is further configured to determine that the user is a potential off-network user when the network tolerance parameter of the user meets a preset condition; .
The device for determining the potential off-network user determines the network tolerance parameter of the user according to the O domain data and the B domain data of the user, and determines whether the user is the potential off-network user according to the network tolerance parameter of the user. According to the scheme, whether the user is a potential off-network user can be determined, so that an operator can preferentially solve the network problem of an area with more potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
In a third aspect, the present application provides a device for determining a potential off-network user, where the device for determining a potential off-network user includes a memory and a processor. The memory is coupled to the processor. The memory is for storing computer program code comprising computer instructions. When the processor executes the computer instructions, the potential off-network user determination device performs the potential off-network user determination method as described in the first aspect and any one of its possible designs.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores instructions that, when executed on a potential off-network user determination device, cause the potential off-network user determination device to perform the potential off-network user determination method according to the first aspect and any one of the possible design manners thereof.
In a fifth aspect, the present application provides a computer program product, which includes computer instructions, when the computer instructions are executed on a potential off-network user determination device, causing the potential off-network user determination device to execute the potential off-network user determination method according to the first aspect and any possible design manner thereof.
For a detailed description of the third to fifth aspects and their various implementations in this application, reference may be made to the detailed description of the first aspect, the second aspect and their various implementations; for the beneficial effects of the third aspect to the fifth aspect and various implementation manners thereof, reference may be made to beneficial effect analysis in the first aspect, the second aspect and various implementation manners thereof, and details are not described here.
These and other aspects of the present application will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a first flowchart illustrating a method for determining a potential off-network user according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a second method for determining a potential off-network user according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a relationship between a user off-network rate and a user downlink rate;
FIG. 4 is a diagram illustrating a relationship between a user offline rate and a network coverage level;
fig. 5 is a third flowchart illustrating a method for determining a potential off-network user according to an embodiment of the present application;
fig. 6 is a fourth flowchart illustrating a method for determining a potential off-network user according to an embodiment of the present application;
fig. 7 is a schematic hardware structure diagram of a potential off-network user determination apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a device for determining a potential off-network user according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
For the convenience of understanding the embodiments of the present application, the related terms referred to in the embodiments of the present application will be described first.
Currently, when an operator plans a network, the operator plans the network in the following manner: firstly, based on user income, preferentially solving the network problem of an area with high user income; based on the user terminal, preferentially solving the network problem of the user terminal aggregation area; thirdly, based on the user service, preferentially solving the network problem of the area with high user service volume; and fourthly, preferentially solving the network problem of the area with poor user perception based on the user perception.
However, when the operator plans the network, the factor that the user may change the operator due to the poor network of the operator is not considered, so that the number of potential off-network users is large, and when the potential off-network users are off-network, the income of the operator is affected.
In order to solve the problems, the application provides a method for determining potential off-network users, which determines a network tolerance parameter of a user through O-domain data and B-domain data of the user, and determines whether the user is a potential off-network user according to the network tolerance parameter of the user. According to the scheme, whether the user is a potential off-network user can be determined, so that an operator can preferentially solve the network problem of an area with more potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
The execution subject of the method for determining the potential off-network user provided by the embodiment of the application is a determination device (hereinafter, simply referred to as a determination device) of the potential off-network user.
The method for determining potential off-network users provided by the embodiment of the present application is described below.
As shown in fig. 1, the method for determining a potential off-network user includes:
s101, a determining device obtains O domain data and B domain data of an operation support system of a user in at least one first cell.
The first cell is a cell in which the user is camped.
Optionally, there may be one or more first cells, which is not limited in this application.
Optionally, the O-domain data may include data such as a downlink rate of the user when surfing the internet in the first cell, a Measurement Report (MR) weak coverage of the first cell, and a backflow ratio of the first cell.
Optionally, the downlink rate of the user when surfing the internet in the first cell may be obtained by extracting the downlink rate of the first cell per hour within a preset time period, and performing average processing according to the extracted downlink rate of the first cell per hour.
Optionally, the weak coverage rate of the MR in the first cell may be obtained by performing statistical analysis by using a periodic MR. The MR weak coverage rate is equal to the proportion of the total number of MR sampling points of Reference Signal Receiving Power (RSRP) which is < -110 decibel milliwatt dBm to the total number of MR sampling points, and the MR weak coverage rate of the cell directly reflects the signal condition of each user in the cell.
Optionally, the backflow ratio of the first cell may be determined by a number of times of redirection requests between Long Term Evolution (LTE) and global system for mobile communications (GSM) systems of the universal mobile telecommunications technology, a number of times of redirection requests between LTE and evolved Universal Terrestrial Radio Access Network (UTRAN) systems, and a total number of times of successful establishment of evolved radio access bearer (E-RAB). For example, the backflow ratio of the cell is equal to (the times of redirection requests between LTE-GSM systems + the times of redirection requests between LTE-UTRAN systems)/the total times of successful E-RAB establishment.
The reverse flow ratio reflects a case where the cell falls back to the 2G or 3G network without the coverage of the fourth generation mobile communication technology 4G (a normal Circuit Switched Fallback (CSFB) case is eliminated).
Optionally, the B-domain data may include billing of the user, traffic flow of the user in the first cell, and the like.
Optionally, the bill of the user may include an International Mobile Subscriber Identity (IMSI), an International Mobile Equipment Identity (IMEI), and a certificate number of the user. The IMSI, the IMEI and the certificate number of the user are key fields for identifying and distinguishing the user, wherein the IMSI is a unique identifier for identifying a telephone card in which the user is transacted, the IMEI is a unique identifier for identifying a user terminal, and the certificate number of the user is a unique identifier for identifying the user.
Optionally, the service traffic of the user in the first cell may be service traffic generated when the user surfs the internet in the cell.
Optionally, the traffic flow of the first cell may be greater than or equal to a first preset threshold. The first preset threshold may be determined according to actual conditions, which is not limited in this application.
For example, ten cells with the largest service flow generated when the user accesses the internet can be used as the first cells, that is, the ten cells are used as the resident cells of the user, so that the "two-point-one-line" area where the user is active, that is, the work area, the residential area and the traffic route between the user and the residential area can be accurately determined. According to the scheme, all the ten cells with the largest service flow generated when the user surfs the internet are used as the first cells, the working area, the residential area and the traffic route between the active area users can be accurately determined, so that the network tolerance parameter of the user can be accurately determined based on the O-domain data and the B-domain data of the ten cells with the largest service flow generated when the user surfs the internet, and the network tolerance parameter of the user is determined relative to the O-domain data and the B-domain data of all the cells where the user resides, and the calculation amount for determining the network tolerance parameter of the user can be reduced.
And S102, the determining device determines the network tolerance parameter of the user according to the obtained O-domain data and B-domain data.
Optionally, the network tolerance parameter may include at least one of a downlink rate of the user or a degree of network coverage.
The downlink rate of the user is the downlink rate of the user when surfing the internet in the network of the operator. The downlink speed of the user can reflect the overall perception of the user in the aspect of the online speed.
Optionally, the downlink rate of the user may be determined according to the downlink rate of the user surfing the internet in each first cell.
Further, the downlink rate of the user may be determined according to the downlink rate of the ten cells with the largest service traffic generated when the user accesses the internet. The downlink rate of the user can be accurately determined through the downlink rates of the ten cells with the maximum service flow generated when the user surfs the internet, and the downlink rate of the user can be determined relative to the downlink rates of all the cells where the user resides, so that the calculation amount for determining the downlink rate of the user can be reduced.
For example, when the downlink rate of the user is determined according to the downlink rate of the ten cells with the maximum traffic generated when the user accesses the internet, the downlink rate of the user may be determined according to the following formula one.
The formula I is as follows:
vu represents the downlink rate of the user, Vci represents the average value of the downlink rates when the i cell is on the internet, and ki is the proportion of the service traffic generated when the user is on the internet in the i cell to the total traffic of ten cells with the maximum service traffic generated when the user is on the internet.
Optionally, the Vci may be obtained by extracting the downlink rate of the cell per hour in a preset time period, and then performing average processing according to the number of hours of data extraction.
The network coverage level is the coverage level of the operator's network. The degree of network coverage can reflect the overall perception of the user in terms of signal coverage.
Optionally, the network coverage degree may be determined according to the network coverage degree of the user in each first cell.
Optionally, the network coverage degree of the first cell may be determined according to the MR weak coverage rate of the first cell and the backflow ratio of the first cell.
Further, the network coverage degree can be determined according to the MR weak coverage and the backflow ratio of the ten cells with the maximum traffic generated when the user accesses the internet. The network coverage degree can be accurately determined through the MR weak coverage rate and the backflow rate of the ten cells with the largest service flow generated when the user accesses the internet, and the network coverage degree is determined relative to the MR weak coverage rate and the backflow rate of all the cells where the user resides, so that the calculation amount for determining the network coverage degree can be reduced.
For example, when the network coverage is determined according to the network coverage of ten cells with the largest traffic generated when the user accesses the internet, the network coverage may be determined according to the following formula two.
The formula II is as follows:
cu represents the network coverage degree, Cci represents the network coverage degree of the i cell, and ki is the proportion of the service traffic generated when the user accesses the internet in the i cell to the total traffic of ten cells with the maximum service traffic generated when the user accesses the internet.
Optionally, the network coverage degree Cci of the i cell may be determined according to the following formula three.
The formula III is as follows: cci is 1-Cmri-Cbfi;
wherein Cmri represents the MR weak coverage of i cell, Cbfi represents the back flow ratio of cell.
S103, determining whether the network tolerance parameter of the user meets a preset condition or not by the determining device.
Under the condition that the determining device determines that the network tolerance parameter of the user does not meet the preset condition, continuing to execute S104; in a case where the determining means determines that the network tolerance parameter of the user satisfies the preset condition, S105 is continuously performed.
Optionally, when the network tolerance parameter includes a downlink rate of the user, the preset condition includes that the downlink rate of the user is less than or equal to a downlink rate threshold.
And under the condition that the network tolerance parameter comprises the network coverage degree, the preset condition comprises that the network coverage degree is less than or equal to a network coverage degree threshold value.
The downlink rate threshold value is a tolerance value of the user to the downlink speed of the operator network. When the downlink rate of the user is less than or equal to the downlink rate threshold value, it indicates that the downlink rate of the user when surfing the internet is relatively slow, the user cannot tolerate the operator network, and the user may leave the network. When the downlink rate of the user is greater than the downlink rate threshold value, the downlink rate of the user is relatively high when the user accesses the internet, the user tolerates the operator network, and the user cannot leave the network.
The network coverage threshold value is a tolerance value of the user on the coverage of the operator network. When the coverage degree of the operator network is less than or equal to the network coverage degree threshold value, it indicates that the signal of the user is poor in the operator network, the user cannot tolerate the operator network, and the user may leave the network. When the coverage degree of the operator network is greater than the network coverage degree threshold value, it indicates that the user can tolerate the operator network and the user does not leave the network under the operator network by the signal comparison number of the user.
Optionally, with reference to fig. 1, as shown in fig. 2, before S103, the determining device may determine at least one of a downlink rate threshold or a network coverage threshold, that is, the method for determining a potential off-network subscriber provided in this embodiment may further include S106-S108.
S106, the determining device obtains O-domain data and B-domain data of the off-network user in at least one third cell.
The third cell is a cell where the off-network user resides.
Optionally, there may be one or more third cells, which is not limited in this application.
Optionally, the O-domain data may include data such as a downlink rate of the off-network user accessing the internet in the third cell, a MR weak coverage rate of the third cell, and a backflow ratio of the third cell.
Optionally, the downlink rate of the user accessing the internet in the third cell may be obtained by extracting the downlink rate of the third cell per hour in a preset time period, and performing average processing according to the extracted downlink rate per hour.
Optionally, the B-domain data may include data such as a bill of the user, a traffic flow of the user in the third cell, and the like.
Alternatively, the off-network user may be determined by the user's bill. For example, the user bill data of months before and after the analysis time period is extracted, the user keyword comparison analysis is performed, and the users who exist in the preorder user bill but do not exist in the subsequent user bill are screened, that is, the details of the off-network users in the analysis time period are obtained.
Optionally, the traffic flow of the third cell may be greater than or equal to a third preset threshold. The third preset threshold may be determined according to actual conditions, which is not limited in this application.
For example, all ten cells with the largest service traffic generated when the off-network user accesses the internet can be used as the third cell, that is, all the ten cells can be used as the resident cells of the off-network user, so that the "two-point-one-line" area where the off-network user is active, that is, the work area, the residential area and the traffic route between the off-network users can be accurately determined.
According to the scheme, the ten cells with the largest service flow generated when the off-line user surfs the internet are all used as the third cell, the active region user working region, the active residence region and the traffic route between the regions can be accurately determined, therefore, the O-domain data and the B-domain data of the ten cells with the largest service flow generated when the off-line user surfs the internet are based on, the network tolerance parameter of the off-line user can be determined, and the network tolerance parameter of the off-line user is determined relative to the O-domain data and the B-domain data of all the cells where the off-line user resides, and the calculation amount for determining the network tolerance parameter of the off-line user can be reduced.
S107, the determining device determines the network tolerance parameter of the off-network user according to the O-domain data and the B-domain data of the off-network user in at least one third cell.
Optionally, the network tolerance parameter of the off-network user includes at least one of a downlink rate of the off-network user or a network coverage degree of the off-network user.
Optionally, the downlink rate of the off-network user may be determined according to the downlink rate of the off-network user accessing the internet in each third cell.
The specific determination method of the downlink rate of the off-network user may be the same as the determination method of the downlink rate of the user, and the specific process may refer to the determination process of the downlink rate of the user, which is not described herein again.
The network coverage degree of the off-network user can be determined according to the MR weak coverage rate of the off-network user in each third cell and the backflow rate of each third cell.
The specific determination method of the network coverage degree of the off-network user may be the same as the determination method of the network coverage degree, and the specific process may refer to the determination process of the network coverage degree, which is not described herein again.
And S108, the determining device determines at least one of a downlink rate threshold value or a network coverage degree threshold value according to the network tolerance parameter of the off-network user and the user off-network rate.
Alternatively, the user off-network rate may be determined according to the number of off-network users and the total number of users of the operator.
Optionally, the determining device may determine the downlink rate threshold according to the user off-network rate and the downlink rates of multiple off-network users. The user off-network rate is related to the downlink rate of the user, the higher the downlink rate of the user is, the lower the user off-network rate is, and the higher the downlink rate of the user is, the user off-network rate tends to be stable.
For example, as shown in fig. 3, the downlink rates of different users correspond to different user off-network rates. And when the downlink rate of the user is less than or equal to 20 megabits per second (Mbps), the off-network rate of the user is higher, but when the downlink rate of the user reaches 20Mbps, the off-network rate of the user gradually tends to be stable. Therefore, the downlink rate threshold may be determined to be 20 Mbps.
Optionally, the determining device may determine the network coverage threshold according to the user offline rate and the network coverage of multiple offline users. The user off-network rate is related to the network coverage degree, the higher the network coverage degree is, the lower the user off-network rate is, and the higher the network coverage degree is, the user off-network rate tends to be stable.
For example, as shown in fig. 4, different network coverage degrees correspond to different user off-network rates. When the network coverage degree is less than or equal to 0.9, the user's off-network rate is high, but when the network coverage degree is greater than 0.9, the user's off-network rate gradually tends to be stable. Therefore, the network coverage threshold may be determined to be 0.9.
According to the scheme, the network tolerance parameter of the off-network user is determined through the O domain data and the B domain data of the off-network user, the downlink rate threshold value or the network coverage degree threshold value can be determined according to the network tolerance parameter of the off-network user, and therefore whether the user is a potential off-network user or not can be determined according to the downlink rate threshold value or the network coverage degree threshold value.
And S104, the determining device determines that the user is not a potential off-network user.
S105, the determining device determines that the user is a potential off-network user.
According to the scheme, the network tolerance parameter of the user is determined through the O domain data and the B domain data of the user, and whether the user is a potential off-network user is determined according to the network tolerance parameter of the user, so that an operator can preferentially solve the network problem of an area with many potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
Optionally, with reference to fig. 1, as shown in fig. 5, after S105, the determining apparatus may further determine the target cell according to the potential off-network user, that is, the method for determining the potential off-network user provided in the embodiment of the present application may further include S109-S110.
S109, the determining device obtains the number of potential off-network users of at least one second cell.
Optionally, the second cell may be any cell of the operator. For example, the second cell may be the first cell, the third cell, or another cell, which is not limited in this application.
S110, the determining device determines the target cell according to the number of potential off-network users of at least one second cell.
Optionally, the target cell is a cell in the at least one second cell, and the number of potential off-network users of the target cell is greater than or equal to a second preset threshold. The second preset threshold may be determined according to actual conditions, which is not limited in this application.
Further, the determining device may determine the target cell according to the number of potential off-network users of the second cell, the off-network rate of the second user, and the network tolerance parameter of the second cell.
For example, the target cell may be a second cell in which the number of potential off-network users is greater than or equal to a second preset threshold, the user off-network rate of the target cell is greater than a fourth preset threshold, and the network tolerance parameter of the target cell meets a first preset condition. The second preset threshold and the fourth preset threshold may be determined according to actual conditions, which is not limited in the present application.
Optionally, the network tolerance parameter of the target cell includes at least one of a downlink rate of the target cell or a network coverage degree of the target cell.
Optionally, when the network tolerance parameter of the target cell includes a downlink rate of the target cell, the first preset condition includes that the downlink rate of the target cell is less than or equal to a downlink rate threshold.
Under the condition that the network tolerance parameter of the target cell comprises the network coverage degree, the first preset condition comprises that the network coverage degree of the target cell is smaller than or equal to a network coverage degree threshold value.
Further, the downlink rate of the target cell may be determined according to the downlink rate in the O-domain data of the target cell. The specific determining method of the downlink rate of the target cell may be the same as the determining method of the downlink rate of the user, and the specific process may refer to the determining process of the downlink rate of the user, which is not described herein again.
The network coverage degree of the target cell can be determined according to the MR weak coverage rate in the O-domain data of the target cell and the backflow ratio of the target cell. The specific determination method of the network coverage degree of the target cell may be the same as the determination method of the network coverage degree, and the specific process may refer to the determination process of the network coverage degree, which is not described herein again.
Optionally, with reference to fig. 5, as shown in fig. 6, after S109, the determining apparatus may further determine whether the target cell is optimized, that is, the method for determining a potential off-network user provided in this embodiment may further include S111-S114.
S111, the determining device obtains investment of the target cell in a preset period and loss of the target cell in the preset period.
Optionally, the preset period may be one month, the preset period may also be one week, and the preset period may also be one year, which is not limited in this application.
Alternatively, when the preset period may be one month, the investment of the target cell in the preset period may be a total investment spread to each month according to a three-year investment recovery period.
Optionally, when the preset period may be one month, the loss of the target cell in the preset period is the loss of the operator after the potential off-network user of the target cell leaves the network. The operator is the operator of the potential off-network user before the off-network.
Optionally, the loss of the target cell in the preset period may be determined according to the per-user income of the target cell, the number of potential off-network users of the target cell, and the off-network rate of the target cell.
Further, when the loss of the target cell in the preset period is determined according to the per-capita income of the user of the target cell, the number of potential off-network users of the target cell, and the off-network rate of the target cell, the loss of the target cell in the preset period may be determined according to the following formula four.
The formula four is as follows: lpm (loss per month) ═ a × N × R × K;
wherein, a (average expected per user) is the per-user income of the target cell, n (number of potential off network users) is the number of potential off network users of the target cell, r (single average off network rate) is the off-network rate of the target cell, and K is the off-network rate correction factor.
Optionally, the network leaving rate R of the target cell may be determined according to the number of the network leaving users of the target cell, the number of the resident users of the target cell, and the analyzed month duration. For example, R ═ the number of off-network users of the target cell/the number of resident users of the target cell/the month duration of the analysis.
Optionally, the off-network rate correction factor K may be determined according to the downlink rate threshold and the network coverage threshold. For example, K is (downlink rate threshold (20 Mbps)/user downlink rate of cell + network coverage threshold (0.9)/network coverage of cell)/2.
And S112, the determining device determines whether the investment of the target cell in the preset period is less than the loss of the target cell in the preset period.
In a case where the determining means determines that the investment of the target cell in the preset period is less than the loss of the target cell in the preset period, continuing to perform S113; in case the determining means determines that the investment of the target cell within the preset period is greater than or equal to the loss of the target cell within the preset period, S114 is continuously performed.
S113, the determining device determines the network of the optimized target cell.
Under the condition that the determining device determines that the investment of the target cell in the preset period is less than the loss of the target cell in the preset period, the network of the target cell is poor, and the monthly investment of the target cell is less, so that the network of the target cell cannot be ensured to be optimized in time. And if the network of the target cell is not optimized, potential off-network users may be off-network, which causes great loss to operators. Therefore, when the investment of the target cell in the preset period is smaller than the loss of the target cell in the preset period, the determining device determines to optimize the network of the target cell.
Optionally, optimizing the network of the target cell may include various ways of improving the network condition of the target cell. For example, a network that optimizes the target cell may include an addition of base stations to the target cell. This is not a limitation of the present application.
S114, the determining device determines the network of the non-optimized target cell.
Under the condition that the determining device determines that the investment of the target cell in the preset period is greater than or equal to the loss of the target cell in the preset period, although the network of the target cell is poor, the investment of the target cell in the preset period is large, therefore, the network of the target cell can be ensured and optimized in time, and the occurrence of the off-network of potential off-network users is avoided.
According to the method for determining the potential off-network user, the network tolerance parameter of the user is determined through the O domain data and the B domain data of the user, and whether the user is the potential off-network user is determined according to the network tolerance parameter of the user. According to the scheme, whether the user is a potential off-network user can be determined, so that an operator can preferentially solve the network problem of an area with more potential off-network users, and the influence on the income of the operator when the potential off-network users are off-network is avoided.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art would readily appreciate that the various illustrative elements 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 application.
As shown in fig. 7, an embodiment of the present application provides a device 700 for determining a potential off-network user. The potential off-network user determination device 700 may include at least one processor 701, a communication line 702, a memory 703, and a communication interface 704.
Specifically, the processor 701 is configured to execute computer-executable instructions stored in the memory 703, so as to implement steps or actions of the terminal.
The processor 701 may be a chip. For example, the Field Programmable Gate Array (FPGA) may be an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a Micro Controller Unit (MCU), a Programmable Logic Device (PLD) or other integrated chips.
A communication line 702 for transmitting information between the processor 701 and the memory 703.
The memory 703 is used for storing and executing computer-executable instructions, and is controlled by the processor 701 to execute.
The memory 703 may be separate and coupled to the processor via a communication line 702. The memory 703 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM). It should be noted that the memory of the systems and devices described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
A communication interface 704 for communicating with other devices or a communication network. The communication network may be an ethernet, a Radio Access Network (RAN), or a Wireless Local Area Network (WLAN).
It is noted that the structure shown in fig. 7 does not constitute a limitation on the potential off-grid user's determination device, which may include more or fewer components than those shown in fig. 7, or some components in combination, or a different arrangement of components, in addition to those shown in fig. 7.
As shown in fig. 8, an apparatus 700 for determining a potential off-network user is provided in an embodiment of the present application. The potential off-network user determination apparatus 800 may include an acquisition unit 801 and a determination unit 802.
An obtaining unit 801, configured to obtain operation support system O domain data and service support system B domain data of a user in at least one first cell. For example, in conjunction with fig. 1, the acquisition unit 801 may be used to perform S101.
A determining unit 802, configured to determine a network tolerance parameter of the user according to the obtained O-domain data and B-domain data. For example, in conjunction with fig. 1, the acquisition unit 801 may be configured to perform S102.
The determining unit 802 is further configured to determine that the user is a potential off-network user when the network tolerance parameter of the user meets a preset condition. For example, in conjunction with fig. 1, the acquisition unit 801 may be configured to perform S105.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In actual implementation, the obtaining unit 801 and the determining unit 802 may be implemented by the processor 701 shown in fig. 7 calling program codes in the memory 703. For a specific implementation process, reference may be made to the description of the method portion in the determination method for the potential off-network user shown in fig. 1, fig. 2, fig. 5, and fig. 6, which is not described herein again.
Another embodiment of the present application further provides a computer-readable storage medium, where computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on a determination device of a potential off-network user, the determination device of the potential off-network user performs each step performed by the determination device of the potential off-network user in the method flow shown in the foregoing method embodiment.
In another embodiment of the present application, there is also provided a computer program product, which includes instructions that, when executed on a determination device of a potential off-network user, cause the determination device of the potential off-network user to perform the steps performed by the determination device of the potential off-network user in the method flow shown in the above-mentioned method embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within 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 (14)
1. A method for determining potential off-network users, the method comprising:
acquiring O domain data of an operation support system and B domain data of a service support system of a user in at least one first cell; the first cell is a cell where the user resides;
determining a network tolerance parameter of the user according to the obtained O-domain data and B-domain data; the network tolerance parameter comprises at least one of a downlink rate or a network coverage degree of the user;
and when the network tolerance parameter of the user meets a preset condition, determining that the user is a potential off-network user.
2. The method according to claim 1, wherein in the case that the network tolerance parameter includes the downlink rate of the user, the preset condition includes that the downlink rate of the user is less than or equal to a downlink rate threshold value;
and under the condition that the network tolerance parameter comprises the network coverage degree, the preset condition comprises that the network coverage degree is smaller than or equal to a network coverage degree threshold value.
3. The method according to claim 1 or 2, wherein the traffic flow of the first cell is greater than or equal to a first preset threshold.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring the number of potential off-network users of at least one second cell;
determining a target cell according to the number of potential off-network users of the at least one second cell; the target cell is a cell in the at least one second cell, and the number of potential off-network users of the target cell is greater than or equal to a second preset threshold.
5. The method of claim 4, further comprising:
acquiring investment of the target cell in a preset period and loss of the target cell in the preset period; the loss of the target cell in the preset period is the loss of an operator in the preset period after a potential off-network user of the target cell is off-network;
and determining to optimize the network of the target cell under the condition that the investment of the target cell in the preset period is less than the loss of the target cell in the preset period.
6. The method of claim 1, wherein prior to determining that the user is a potential off-network user, the method further comprises:
acquiring O-domain data and B-domain data of an off-network user in at least one third cell; the third cell is a cell where the off-network user resides;
determining a network tolerance parameter of the off-network user according to O domain data and B domain data of the off-network user in the at least one third cell;
and determining at least one of the downlink rate threshold value or the network coverage degree threshold value according to the network tolerance parameter of the off-network user and the user off-network rate.
7. An apparatus for determining potential off-network users, the apparatus comprising:
an obtaining unit, configured to obtain data of an O domain of an operation support system and data of a B domain of a service support system of a user in at least one first cell; the first cell is a cell where the user resides;
the determining unit is used for determining the network tolerance parameter of the user according to the O domain data and the B domain data acquired by the acquiring unit; the network tolerance parameter comprises at least one of a downlink rate or a network coverage degree of a user;
the determining unit is further configured to determine that the user is a potential off-network user when the network tolerance parameter of the user meets a preset condition.
8. The apparatus according to claim 7, wherein in the case that the network tolerance parameter includes the downlink rate of the user, the preset condition includes that the downlink rate of the user is less than or equal to a downlink rate threshold value;
and under the condition that the network tolerance parameter comprises the network coverage degree, the preset condition comprises that the network coverage degree is smaller than or equal to a network coverage degree threshold value.
9. The apparatus of claim 7 or 8, wherein the traffic flow of the first cell is greater than or equal to a first preset threshold.
10. The apparatus according to claim 7 or 8, wherein the obtaining unit is further configured to:
acquiring the number of potential off-network users of at least one second cell;
the determining unit is further configured to determine a target cell according to the number of potential off-network users of the at least one second cell; the target cell is a cell in the at least one second cell, and the number of potential off-network users of the target cell is greater than or equal to a second preset threshold.
11. The apparatus of claim 10, wherein the obtaining unit is further configured to:
acquiring investment of the target cell in a preset period and loss of the target cell in the preset period; the loss of the target cell in the preset period is the loss of an operator in the preset period after a potential off-network user of the target cell is off-network;
the determining unit is further configured to determine to optimize the network of the target cell when the investment of the target cell in the preset period is smaller than the loss of the target cell in the preset period.
12. The apparatus of claim 7, wherein prior to determining that the user is a potential off-network user, the obtaining unit is further configured to:
acquiring O-domain data and B-domain data of an off-network user in at least one third cell; the third cell is a cell where the off-network user resides;
the determining unit is further configured to determine a network tolerance parameter of the off-network user according to O-domain data and B-domain data of the off-network user in the at least one third cell;
the determining unit is further configured to determine at least one of the downlink rate threshold or the network coverage threshold according to the network tolerance parameter of the off-network user and the user off-network rate.
13. A potential off-network user determination device, comprising a memory and a processor; the memory and the processor are coupled; the memory for storing computer program code, the computer program code comprising computer instructions; when the computer instructions are executed by the processor, the potential off-network user determination device executes the potential off-network user determination method of any one of claims 1-6.
14. A computer-readable storage medium having stored therein instructions which, when run on a potential off-network user determination device, cause the potential off-network user determination device to perform the method of potential off-network user determination as claimed in any one of claims 1-6.
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