CN111818506A - Method and device for identifying hotspot cell - Google Patents
Method and device for identifying hotspot cell Download PDFInfo
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- CN111818506A CN111818506A CN201910291159.6A CN201910291159A CN111818506A CN 111818506 A CN111818506 A CN 111818506A CN 201910291159 A CN201910291159 A CN 201910291159A CN 111818506 A CN111818506 A CN 111818506A
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- H04W8/02—Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
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Abstract
The invention discloses a method and a device for identifying a hot spot cell, which are used for solving the problem of low accuracy of identifying the hot spot cell. The scheme provided by the application comprises the following steps: acquiring a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period; determining a heat value of a target cell according to a preset hot point standard and a heat parameter; and when the heat value of the target cell meets the preset heat value standard, determining that the target cell is a hot spot cell. According to the scheme of the embodiment of the invention, the heat value determined according to the heat parameter of the target cell can reflect the condition of allocable resources of the target cell, and further reflect the communication quality of communication equipment in the cell. According to the scheme, the target cell with the heat value meeting the preset heat standard is determined as the hot cell, the accuracy of hot cell identification is high, the labor cost is low, and the identification efficiency is high.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for identifying a hot cell.
Background
In the field of communication technology, communication devices such as mobile phones and the like often need to realize a communication function through a base station. In a cellular mobile communication system, the area covered by a base station or a part of a base station is called a cell, and a mobile station can reliably communicate with the base station through a radio channel in the cell. The cell with the higher heat degree may be referred to as a hotspot cell, the allocable resources of the hotspot cell are less, and the communication function of the communication device located in the hotspot cell is often affected.
In the prior art, the hot degree of a cell and a hot spot time period with a high hot degree of the cell are often predicted in a manual mode, and the cell is continuously concerned in the hot spot time period so as to take a processing measure when the hot degree of the cell is too high. The accuracy of identifying the hot spot cell in the prior art is influenced by subjective factors of artificial judgment, the identification accuracy is low, and the labor cost investment is high.
How to improve the accuracy of identifying the hot spot cell is a technical problem to be solved by the application.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for identifying a hot spot cell, which are used for solving the problem of low accuracy of identifying the hot spot cell.
In a first aspect, a method for identifying a hotspot cell is provided, including:
acquiring a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period;
determining the heat value of the target cell according to a preset hot spot standard and the heat parameter;
and when the hot value of the target cell meets a preset hot value standard, determining that the target cell is a hot cell.
In a second aspect, an apparatus for identifying a hotspot cell is provided, including:
the acquisition module acquires a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period;
the first determining module is used for determining the heat value of the target cell according to a preset hotspot standard and the heat parameter;
and the second determining module is used for determining that the target cell is a hotspot cell when the heat value of the target cell meets a preset heat value standard.
In a third aspect, an electronic device is provided, the electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method according to the first aspect.
In the embodiment of the present application, by obtaining a heat parameter of a target cell, the heat parameter includes at least one of the following: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period; determining the heat value of the target cell according to a preset hot spot standard and the heat parameter; and when the hot value of the target cell meets a preset hot value standard, determining that the target cell is a hot cell. Because the heat parameter in the scheme is closely related to the actual allocable resource of the target cell, the heat value determined according to the heat parameter of the target cell can reflect the situation of the allocable resource of the target cell, and further reflect the communication quality of the communication equipment in the cell. According to the scheme, the target cell with the heat value meeting the preset heat standard is determined as the hot cell, the accuracy of hot cell identification is high, the labor cost is low, and the identification efficiency is high.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a method for identifying a hot cell according to the present invention;
fig. 2 is a second flowchart of a method for identifying a hot cell according to the present invention;
fig. 3a is a third schematic flowchart of a method for identifying a hot cell according to the present invention;
FIG. 3b is a histogram of user fluctuation rate interval data;
FIG. 3c is a quantile-quantile graph based on FIG. 3 b;
fig. 4 is a fourth flowchart illustrating a method for identifying a hot cell according to the present invention;
fig. 5 is a flowchart illustrating a method for identifying a hot spot cell according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus for identifying a hotspot cell according to the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The reference numbers in the present application are only used for distinguishing the steps in the scheme and are not used for limiting the execution sequence of the steps, and the specific execution sequence is described in the specification.
The prior art method for identifying hot cells generally includes: the method comprises the steps of presetting areas and cells which are possible to have service hot spots, manually and continuously paying attention in the hot spot time when the cells are possible to become hot spot cells, and backtracking and counting after the hot spot time. The existing method usually needs to invest higher labor cost, manually judges cells with possible service hotspots in advance, and continuously pays attention to the cells within a period of time to timely manage and control the hotspot cells. Therefore, the limitation in the prior art is large, the judgment of the hotspot cell is influenced by subjective factors, and the labor cost investment is high. Moreover, for a hot cell formed under the influence of an emergency, the prior art often cannot accurately predict, and when the hot cell is identified, the communication function of the hot cell is affected, so that the user experience is poor.
To solve the problems in the prior art, the present application provides a method for identifying a hotspot cell, as shown in fig. 1, including:
s11: acquiring a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: user quantity, resource utilization rate and user fluctuation rate in a preset time period.
Specifically, the heat parameter of the target cell may be obtained once every preset time period. Wherein the heat parameter may include at least one parameter related to the communication function of the target cell.
The user quantity may specifically be the number of communication terminals that perform communication through the target cell, and the communication terminals may specifically be electronic devices such as a mobile phone and a tablet computer. Specifically, the user volume may be obtained from an XDR record, which is a concept evolved from a Call Data Recording (CDR). The CDR is a record of network key information during a call in a conventional communication network. XDR is an extension of CDR concepts, and generally refers to a key information record, i.e., a traffic log, for data traffic in a mobile network or a bearer network. One session forms one XDR record in units of user sessions.
The resource utilization rate may specifically include a utilization rate of a resource occupied by the communication terminal when the communication terminal performs communication through the target cell, and may also include a resource utilization rate of a hardware device used by the target cell to provide a communication function. The resource utilization rate can be obtained by monitoring the target cell resource.
The user fluctuation rate in the preset time period may refer to a fluctuation rate of the number of users, that is, a fluctuation rate of a user performing communication through the target cell in the preset time period. Specifically, the number of users in the target cell may be monitored through the monitor, and under a normal condition, the user fluctuation rate of the target cell may fluctuate regularly with time, such as: the amount of users increases during the day, the amount of users decreases at night, etc. When an emergency occurs around the target cell, which causes people to gather, the number of users in the target cell tends to increase rapidly, that is, the user fluctuation rate of the target cell is large. In this case, the number of users in the target cell may continue to increase in a later period of time, and the allocable resources in the target cell may decrease as the number of users increases. Therefore, the user fluctuation rate can predict the number of users in the target cell in a period of time in the future to a certain extent, and when the fluctuation rate of the users changes obviously, corresponding precautionary measures can be taken for the target cell so as to ensure the communication stability of the users in the target cell.
Specifically, the number of users in the target cell may be continuously monitored by using a monitor, and the number of users in the current period may be counted at intervals of a preset time period to generate a user fluctuation rate in a preset time period. For example, the preset time is 15 minutes, the listener keeps listening to the number of users in the target cell, and the user fluctuation rate in the 15 minutes is calculated at the time of 12:00 according to the number of users in the time period from 11:45 to 12: 00.
S12: and determining the heat value of the target cell according to a preset hot spot standard and the heat parameter.
The preset hotspot standard can be set manually according to the actual position of the target cell, the number of users and the like, and can also be generated automatically by the terminal according to the relevant data acquisition result of the target cell. The preset hotspot criterion may be a fixed criterion, or may vary according to factors such as time, population number, and the like. A
Preferably, the heat value of the target cell at the moment is determined according to the heat parameter at the same moment. For example, at time 12:00, the heat value at that time is calculated according to the user amount measured or calculated at that time, the resource utilization rate, and the user fluctuation rate in a preset time period. The user fluctuation rate in the preset time period may specifically refer to the fluctuation rate of the number of users in the preset time period before the time of 12: 00.
The determined heat value of the target cell may be a specific numerical value, or may be a heat level such as "a level", "B level", or "C level".
S13: and when the hot value of the target cell meets a preset hot value standard, determining that the target cell is a hot cell.
The preset heat value standard can be a numerical value set in advance manually, and can also be automatically generated by the terminal according to the collected big data. The preset heat value may be a fixed value or a dynamic value that varies according to factors such as time and the number of users. The preset heat value criterion may include at least one criterion corresponding to a heat parameter. For example, when the user amount exceeds a preset user amount, the target cell is determined to be a hotspot cell. Or when the resource utilization rate exceeds the preset resource utilization rate, determining that the target cell is the hotspot cell.
When the user parameter of the target cell includes a plurality of items, the preset hot value criterion may include priorities set for the plurality of user parameters. For example, when the user amount exceeds a preset user amount, the target cell is determined to be a hotspot cell regardless of whether the resource utilization rate exceeds a preset resource utilization rate. Or when the user quantity does not exceed the preset user quantity, determining the target cell to be the non-hotspot cell no matter whether the resource utilization rate exceeds the preset resource utilization rate or not. The priorities of a plurality of user parameters can be set manually or can be automatically generated by the terminal according to the big data statistical result.
When the user parameter of the target cell includes multiple items, the preset heat value criterion may also include: and when the user quantity exceeds the preset user quantity and the resource utilization rate exceeds the preset resource utilization rate, determining the target cell as the hotspot cell. Or when the user quantity exceeds the preset user quantity or the resource utilization rate exceeds the preset resource utilization rate, determining that the target cell is the hotspot cell.
Because the heat parameter in the scheme is closely related to the actual allocable resource of the target cell, the heat value determined according to the heat parameter of the target cell can reflect the situation of the allocable resource of the target cell, and further reflect the communication quality of the communication equipment in the cell. According to the scheme, the target cell with the heat value meeting the preset heat standard is determined as the hot cell, the accuracy of hot cell identification is high, the labor cost is low, and the identification efficiency is high.
Preferably, when the heat parameter includes a plurality of items, the step S12 includes:
and determining the heat value of the target cell according to preset heat parameter weights respectively corresponding to a preset hot point standard, a plurality of heat parameters and the plurality of heat parameters.
The multiple heat parameters in this embodiment include the user amount, the resource utilization rate, and the user fluctuation rate in a preset time period. In practice, the heat parameter may also comprise other types of parameters related to the target cell. Correspondingly, the preset hotspot criteria may include a preset user quantity hotspot criterion, a preset user fluctuation rate hotspot criterion, and a preset resource utilization rate hotspot criterion.
The calculating the hot value of the target cell according to the preset hot spot standard, the hot parameter and the preset hot parameter weight may include:
calculating a user heat metric value of the target cell according to the user quantity of the target cell and the preset user quantity hotspot standard;
calculating a resource utilization rate hot value of the target cell according to the resource utilization rate of the target cell and the preset resource utilization rate hot point standard;
calculating a user fluctuation rate heat value of the target cell according to the user fluctuation rate in a preset time period of the target cell and the preset user fluctuation rate hot spot standard;
and performing weighted calculation on the user heat value, the resource utilization rate heat value and the user fluctuation rate heat value according to a preset heat parameter weight to obtain the heat value of the target cell.
Specifically, the sum of the weights of the preset heat parameters respectively corresponding to the plurality of heat parameters may be 1. For example, the weight of the preset heat parameter corresponding to the resource utilization rate is 50%, the weight of the preset heat parameter corresponding to the user amount is 30%, and the weight of the preset heat parameter corresponding to the user fluctuation rate is 20%.
And multiplying the calculated resource utilization rate heat value, user heat value and user fluctuation rate heat value by corresponding weights respectively, and then adding the three products to obtain the heat value of the target cell.
The preset hotspot criterion may specifically include a preset hotspot parameter. For example, the preset hotspot criteria include a preset user volume hotspot criterion K1Presetting a user fluctuation rate hotspot standard K2And presetting a resource utilization rate hotspot standard K3. According to a preset hotspot standard, a user calorimetric value, a resource utilization rate calorimetric value and a user fluctuation rate calorimetric value are respectively determined according to the user quantity, the resource utilization rate and the user fluctuation rate of a target cell.
For example, the user amount of the target cell is larger than the preset user amount hotspot criterion K1Determining that the user calorimetric value is '1'; the user fluctuation rate of the target cell is smaller than the hot spot standard K of the preset user fluctuation rate2If yes, determining the user fluctuation rate heat value to be 0; and if the resource utilization rate of the target cell is greater than the preset resource utilization rate hotspot standard K3, determining that the resource utilization rate heat value is '1'.
And then, calculating the heat value of the target cell according to the preset heat parameter weights respectively corresponding to the plurality of heat parameters. Assume that the weight of the preset heat parameter corresponding to the resource utilization rate is 50%, the weight of the preset heat parameter corresponding to the user amount is 30%, and the weight of the preset heat parameter corresponding to the user fluctuation rate is 20%. The heating value of the target cell is 0.8 through the weighted calculation. The preset hot value criterion may be "greater than or equal to 0.5", and since the hot value of the target cell satisfies the preset hot value criterion, it may be determined that the target cell is a hotspot cell.
Preferably, before step S12, the predetermined user volume hotspot criterion may be determined by the following method. As shown in fig. 2, the method provided by the present application further includes:
s1011: acquiring the transmission rate of a data packet with preset capacity in the target cell in a first preset acquisition time period;
s1012: determining the scene attribute of the target cell according to the geographical position of the target cell;
s1013: and determining the preset user quantity hotspot standard of the target cell in the first preset acquisition period according to the transmission rate and the scene attribute.
In practical application, the service quality is closely related to the service rate, and the scheme calculates the lowest threshold of the number of users through the matching relation between the low-rate alarm of user sensing abnormity and the number of users, so as to know the number of users influencing the service quality hotspot.
The low-rate alarm generating method for the user to perceive the abnormity comprises the following steps: dividing the service data packets into 5 groups, wherein the capacity of each group of service data packets is respectively 0-10K, 10-50K, 50-100K, 100-500K and > 500K. And respectively carrying out full historical data acquisition and big data learning on the rate of each group of service data packets, and then combining actual field test and historical user complaint conditions to carry out statistical analysis to obtain a service data packet rate early warning value which possibly influences service perception. And further, setting a dynamic early warning threshold based on the speed early warning value and the geographic position of the target cell. Wherein the geographical location of the target cell may be a high speed, a commercial district, a hospital, an airport, etc. And then, once the communication function is influenced and the transmission rate of the service data packet is too low to trigger the dynamic early warning threshold in the application process, triggering a low-speed alarm. At this time, the preset user quantity hotspot standard of the target cell can be obtained by detecting the user quantity of the target cell during the alarm.
For example, when the number of users in the target cell is 5000, a low-speed alarm is triggered, and at this time, the transmission rate of the service data packet in the target cell is low, and the communication quality of the users in the target cell is affected. Through the above method, the obtained preset user calorimetric point standard of the target cell may be "greater than or equal to 5000". In an actual application process, when the heat parameter of the target cell only includes the user quantity, when the user quantity is greater than or equal to 5000, the preset user quantity hotspot standard is met, and it can be determined that the target cell is a hotspot cell.
The technical scheme provided by the application can determine the preset user quantity hot spot standard which is suitable for the target cell according to the actual service capability and the geographic position of the target cell, so that whether the target cell is a hot spot cell or not can be judged according to the preset user quantity hot spot standard.
Preferably, before step S12, the predetermined user fluctuation rate hotspot criterion may be determined by the following method. As shown in fig. 3a, the method provided by the present application further includes:
s1021: acquiring the number fluctuation rate of target users in the target cell in a second preset acquisition period, wherein the target users comprise: in the second preset acquisition time period, transmitting users with the total data transmission amount greater than or equal to the preset data amount in the target cell;
s1022: and determining a preset user fluctuation rate hotspot standard of the target cell in the second preset acquisition time period according to the number fluctuation rate of the target users.
In fact, the amount of users in the target cell usually fluctuates within an interval, and the fluctuation situation of the amount of users is often related to time, events and other factors. The present application determines a user fluctuation rate point criterion adapted to a target cell in the following manner.
Selecting a plurality of sample cells in the sample area, and acquiring the fluctuation rate of the target user number of the XDR ticket in each time period of each sample cell in a preset acquisition time period. The target users may include users whose user flow rate is greater than a preset basic flow rate value and whose fluctuation rate is within a preset range compared to the previous collection period. The preset basic flow value can be 20M, and the preset basic flow value can eliminate interference caused by the behavior of a small-flow user to the whole data model.
Specifically, for the fluctuation rate of the number of users accessing the XDR ticket in each time period of each target cell in the whole province and the same network element in the same time period, it can be found that the historical fluctuation rate interval data histogram of the number of target users is close to a bell shape compared with the previous acquisition time period, as shown in fig. 3 b. After K-S validation and the corresponding standard quantile-quantile graph (Q-Q graph) shown in fig. 3c, it can be determined that the collected samples conform to a normal distribution.
Based on the normal distribution formula (1.1), the center value and standard deviation of the sample data are calculated:
the center value (μ) of the sample was calculated to be 0.00625, and the standard deviation (σ) was calculated to be 0.36.
According to the normal distribution property, 3 fluctuation rate threshold values are obtained:
the area in the range of the horizontal axis (. mu. -sigma.,. mu. + sigma.) was 68.268949%.
② the area in the horizontal axis interval (mu-1.96 sigma, mu +1.96 sigma) is 95.449974%.
Area in the range of the horizontal axis (mu-2.58 sigma, mu +2.58 sigma) is 99.730020%.
The scheme determines the preset user fluctuation rate hotspot standard according to the data in the range of the horizontal axis (mu-1.96 sigma, mu +1.96 sigma). The area in the horizontal axis section (0.7183, -0.7058) is 95.449974%. And finally, determining that the preset user fluctuation rate hot spot standard is larger than 71.83%, and when the heat degree parameter of the target cell only comprises the user fluctuation rate and the user fluctuation rate is larger than 71.83%, determining that the target cell is the hot spot cell.
In addition, the user volatility hotspot criteria determined for cells at different locations may be different. Because the fluctuation conditions of the user quantity in different time intervals are different, the hotspot standards of the user fluctuation rate determined in each time interval in one day of the target cell can be different.
According to the scheme provided by the application, the preset user fluctuation rate hot spot standard which is suitable for the target cell can be determined based on the sample data obtained by detecting the target cell, so that whether the target cell is a hot spot cell or not can be judged according to the preset user fluctuation rate hot spot standard.
Preferably, before step S12, the predetermined resource utilization hotspot criterion may be determined by the following method. As shown in fig. 4, the method provided by the present application further includes:
s1031: acquiring the resource utilization rate of the target cell in a third preset acquisition time period;
s1032: and determining a preset resource utilization hot spot standard of the target cell according to the resource utilization of the target cell.
The resource utilization of the target cell may include a utilization of at least one resource related to a traffic capacity of the target cell.
According to the scheme, the resource utilization rate alarm threshold can be calculated through the matching relation between the low-rate alarm of the user sensing abnormity and the resource utilization rate of the target cell. Specifically, resource utilization rate data of the target cell in a third preset acquisition time period is acquired, and big data learning analysis statistics is carried out. Meanwhile, the resource utilization rate alarm threshold value which possibly influences the service perception can be obtained through statistical analysis by combining actual field test and historical user complaint conditions.
Further, a dynamic resource utilization rate alarm threshold value is set based on the resource utilization rate alarm threshold value and the geographical position of the target cell. Wherein the geographical location of the target cell may be a high speed, a commercial district, a hospital, an airport, etc. And then, once the communication function is influenced and the resource utilization rate is too high in the application process, triggering to the resource utilization rate alarm threshold value. At this time, the preset resource utilization hot spot standard of the target cell can be obtained by detecting the resource utilization of the target cell during the alarm.
For example, when the resource utilization of the target cell reaches 45%, the above alarm is triggered, and at this time, the service data packet transmission rate of the target cell is low, and the user communication quality in the target cell is affected. Through the method, the obtained preset resource utilization hot spot standard of the target cell can be greater than or equal to 45%. In an actual application process, when the heat parameter of the target cell only includes the resource utilization rate, when the resource utilization rate is greater than or equal to 45%, the preset resource utilization rate hot spot standard is met, and it can be determined that the target cell is a hot spot cell.
In this embodiment, the threshold value of the resource utilization rate alarm is 45%. In the actual application process, the resource utilization rate alarm threshold value can be adjusted according to the actual situation of the target cell. Preferably, the resource utilization rate alarm threshold value may be 40% to 50%.
According to the scheme provided by the application, the preset resource utilization hot standard which is suitable for the target cell can be determined based on the sample data obtained by detecting the target cell, so that whether the target cell is a hot cell or not can be judged according to the preset resource utilization hot standard.
Preferably, the resource utilization rate of the target cell includes a Physical Resource Block (PRB) utilization rate of an uplink physical layer of the target cell and a PRB utilization rate of a downlink physical layer of the target cell;
the step S1031 includes:
acquiring the utilization rate of the PRB of the uplink physical layer of the target cell and the utilization rate of the PRB of the downlink physical layer of the target cell in the third preset acquisition period;
the step S1032 includes:
determining a hot spot standard of the utilization rate of a pre-set uplink physical layer time frequency resource PRB (physical resource block) of the target cell according to the utilization rate of the uplink physical layer time frequency resource PRB of the target cell;
and determining a hot spot standard of the utilization rate of the PRB of the preset downlink physical layer time frequency resource of the target cell according to the utilization rate of the PRB of the downlink physical layer time frequency resource of the target cell.
In practical application, when the utilization rate of the cell PRB reaches 40% to 50%, the terminal often performs resource allocation by combining resource scheduling and congestion control, and as the utilization rate of the PRB increases, allocable resources decrease, and the user perception is gradually affected.
The scheme provided by the application can determine the preset resource utilization rate hot spot standard suitable for the target cell based on the sample data obtained by detecting the target cell, wherein the preset resource utilization rate hot spot standard comprises a preset uplink physical layer time-frequency resource PRB utilization rate hot spot standard and a preset downlink physical layer time-frequency resource PRB utilization rate hot spot standard, so that whether the target cell is a hot spot cell or not can be judged according to the preset resource utilization rate hot spot standard.
Preferably, after determining that the target cell is a hotspot cell, the method further includes:
s14: acquiring a plurality of determined hotspot cells;
s15: and determining signal coverage areas of a plurality of hotspot cells with spacing distances smaller than a first preset distance as hotspot areas.
After the hot spot cells are identified, the signal coverage areas of the plurality of hot spot cells can be effectively associated to form a hot spot area, and the hot spot area can be visually displayed so as to pertinently develop guarantee work.
After the hot spot cells are identified through the scheme, a plurality of hot spot cells with the interval distance smaller than a first preset distance are searched according to the longitude and latitude of the geographic position of the hot spot cells. Then, the signal coverage of the searched hotspot cell can be determined as a hotspot area.
Further, the hotspot area can be formed by combining the hotspot cells in the following way. According to the geographical position of the target cell, whether a hotspot cell exists in 8 cells closest to a Tracking Area Code (TAC) Area of the target cell is judged. Among them, Tracking Area (TA) is a concept newly set up by the LTE system for location management of the UE, and usually, 30 to 50 sites are hung under one TAC. Through the judgment, when hot spot cells exist in 8 cells which are closest to the target cell and the TAC region, the hot spot cells of the target cell and the TAC region are subjected to ripple association, and a hot spot region comprising at least 3 hot spot cells is obtained.
In addition, in the practical application process, the combinations of all hot spot cells in the TAC area can be calculated one by one, and different hot spot cell combinations with partial overlapping are combined to obtain a hot spot area.
The proposal matches the settings of 8 nearest cells and a TAC region, can reduce the system computation amount, shorten the hot spot presenting time delay, and form an effective hot spot region by connecting hot spots into a plane. In addition, after the hot spot region is determined, the overall heat value of the hot spot region can be calculated based on parameters such as the area and the weight of the hot spot region according to the heat value of each hot spot cell in the hot spot region.
In this embodiment, the geographic location of the hotspot cell is calculated by using the physical site, the co-sited cell is regarded as the same cell, and the remote cell is regarded as a different cell.
Preferably, as shown in fig. 5, the step S15 includes:
s151: determining a hotspot cell which is not more than a second preset distance away from the target cell as an associated hotspot cell;
s152: according to the distance value between the associated hotspot cells and the target cell, the associated hotspot cells are arranged in a descending order, and an associated hotspot cell list is generated;
s153: determining the first preset number of associated hot cells and the target cell in the associated hot cell list as a hot cell group;
s154: and determining a signal coverage area of a hotspot cell in the hotspot cell group as a first hotspot area.
In this embodiment, a hotspot cell which is not more than a second preset distance away from the target cell is first searched, and the searched hotspot cell is determined as an associated hotspot cell associated with the target cell. The associated hotspot cells are then ranked based on their distance values from the target cell. Preferably, the associated cells are sorted from near to far to obtain an associated hotspot cell list.
Then, a preset number may be determined according to actual requirements, and the first preset number of associated hotspot cells in the associated hotspot cell list and the target cell may be determined as a hotspot cell group. The preset number can be determined according to the signal coverage of the target cell, the determined preset number can be more for the target cell with a larger signal coverage, and the determined preset number can be less for the target cell with a smaller signal coverage.
After determining the hot spot cell group, determining a signal coverage area of the hot spot cell in the hot spot cell group as a first hot spot area. In the determined first hotspot region, each associated hotspot cell is closer to the target cell in geographic distance, and terminal users located in the signal coverage area of the target cell are likely to move to the signal coverage area of the associated hotspot cell. The scheme provided by the application can determine the signal coverage range of the target cell and the associated hotspot cell as the hotspot area, and is beneficial to uniformly managing a plurality of hotspot cells with close geographic distances.
Preferably, after the step S154, the method further includes:
when signal coverage areas of a second preset number of hotspot cells exist in the first hotspot area and belong to a second hotspot area, combining the signal coverage areas of the hotspot cells in the first hotspot area and the signal coverage areas of the hotspot cells in the second hotspot area into a third hotspot area.
According to the method, the hot spot areas can be determined according to the hot spot cells, and after the hot spot areas are determined, the hot spot areas can be further combined for unified management. For example, the second preset number is 2. The hotspot cell in the first hotspot region is a hotspot cell M1"," hotspot cell M2"," hotspot cell M3". The hotspot cell in the second hotspot region is a hotspot cell M2"," hotspot cell M3"," hotspot cell M4". Since two hotspot cells, namely "hotspot cell M2" and "hotspot cell M3", exist in the first hotspot region and belong to the second hotspot cell, the first hotspot region and the second hotspot region can be combined into a third hotspot region.
Furthermore, different hotspot areas can be combined according to the number of the same hotspot cells in the different hotspot areas. For example, when more than 50% of hot cells in the first hot spot region belong to the second hot spot region and more than 50% of hot cells in the second hot spot region belong to the first hot spot region, the first hot spot region and the second hot spot region are combined into a third hot spot region.
Suppose a hotspot cell in the first hotspot region is "hotspot cell M1"," hotspot cell M2"," hotspot cell M3". Small hot spot in the second hot spot regionThe region is' hot spot cell M2"," hotspot cell M3"," hotspot cell M4". The first hotspot region has 3 hotspot cells in total, wherein 2 hotspot cells belong to the second hotspot region, and the second hotspot region has 3 hotspot cells in total, wherein 2 hotspot cells belong to the first hotspot region. Therefore, according to the above-mentioned condition that "more than 50% of hotspot cells in the first hotspot region belong to the second hotspot region, and more than 50% of hotspot cells in the second hotspot region belong to the first hotspot region", the first hotspot region and the second hotspot region can be merged into a third hotspot region.
The combined third hotspot region may include "hotspot cell M1"," hotspot cell M2"," hotspot cell M3'and' hotspot cell M4”。
Furthermore, by monitoring the heat parameter of the target cell, the historical data of the heat parameter of the target cell can be obtained. Based on the heat parameter historical data of the target cell, the heat attribute of the target cell can be judged.
For example, if the target cell is 8: 00-10: 00 is a hotspot cell, the target cell can be determined to be a daily hotspot cell. The signal coverage area of the daily hotspot cell can comprise places with dense personnel, such as shopping malls, hospitals, stations and the like. If the target cell is usually a non-hotspot cell and accidentally becomes a hotspot cell for 1-2 days, the target cell can be determined to be a burst hotspot cell. The sudden hot spot cell is often caused by an emergency, for example, a cell where a college entrance examination point is located during a college entrance examination is often a hot spot cell, and other times are non-hot spot cells.
According to the scheme provided by the application, the target cell can be judged to be a daily hotspot cell or a burst hotspot cell according to the time interval, frequency and other parameters of the target cell as the hotspot cell, so that corresponding measures can be performed in a targeted manner, and the communication quality of the terminal equipment in the target cell is prevented from being reduced.
In view of the above problems in the prior art, as shown in fig. 6, the present application further provides an apparatus 60 for identifying a hotspot cell, including:
an obtaining module 61, configured to obtain a heat parameter of a target cell, where the heat parameter includes at least one of: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period;
the first determining module 62 determines the heat value of the target cell according to a preset hotspot standard and the heat parameter;
a second determining module 63, configured to determine that the target cell is a hotspot cell when the heat value of the target cell meets a preset heat value standard.
In the embodiment of the present application, by obtaining a heat parameter of a target cell, the heat parameter includes at least one of the following: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period; determining the heat value of the target cell according to a preset hot spot standard and the heat parameter; and when the hot value of the target cell meets a preset hot value standard, determining that the target cell is a hot cell. Because the heat parameter in the scheme is closely related to the actual allocable resource of the target cell, the heat value determined according to the heat parameter of the target cell can reflect the situation of the allocable resource of the target cell, and further reflect the communication quality of the communication equipment in the cell. According to the scheme, the target cell with the heat value meeting the preset heat standard is determined as the hot cell, the accuracy of hot cell identification is high, the labor cost is low, and the identification efficiency is high.
Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements each process of the above-mentioned embodiment of the image processing method, and can achieve the same technical effect, and details are not repeated here to avoid repetition.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned embodiment of the image processing method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for identifying a hotspot cell, comprising:
acquiring a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period;
determining the heat value of the target cell according to a preset hot spot standard and the heat parameter;
and when the hot value of the target cell meets a preset hot value standard, determining that the target cell is a hot cell.
2. The method of claim 1, wherein when the heat parameter comprises a plurality of items, the determining the heat value of the target cell according to a preset hotspot criterion and the heat parameter comprises:
and determining the heat value of the target cell according to preset heat parameter weights respectively corresponding to a preset hot point standard, a plurality of heat parameters and the plurality of heat parameters.
3. The method of claim 1 or 2, wherein after determining that the target cell is a hotspot cell, further comprising:
acquiring a plurality of determined hotspot cells;
and determining signal coverage areas of a plurality of hotspot cells with spacing distances smaller than a first preset distance as hotspot areas.
4. The method of claim 3, wherein the merging hotspot cells separated by a distance less than a first preset distance into a hotspot region comprises:
determining a hotspot cell which is not more than a second preset distance away from the target cell as an associated hotspot cell;
according to the distance value between the associated hotspot cells and the target cell, the associated hotspot cells are arranged in a descending order, and an associated hotspot cell list is generated;
determining the first preset number of associated hot cells and the target cell in the associated hot cell list as a hot cell group;
and determining a signal coverage area of a hotspot cell in the hotspot cell group as a first hotspot area.
5. The method of claim 4, wherein after determining a hotspot cell signal coverage area in the set of hotspot cells as a first hotspot area, the method further comprises:
when signal coverage areas of a second preset number of hotspot cells exist in the first hotspot area and belong to a second hotspot area, combining the signal coverage areas of the hotspot cells in the first hotspot area and the signal coverage areas of the hotspot cells in the second hotspot area into a third hotspot area.
6. The method of claim 1, wherein prior to determining the hot value of the target cell based on a preset hot spot criterion and the hot parameter, further comprising:
acquiring the transmission rate of a data packet with preset capacity in the target cell in a first preset acquisition time period;
determining the scene attribute of the target cell according to the geographical position of the target cell;
and determining the preset user quantity hotspot standard of the target cell in the first preset acquisition period according to the transmission rate and the scene attribute.
7. The method of claim 1, wherein prior to determining the hot value of the target cell based on a preset hot spot criterion and the hot parameter, further comprising:
acquiring the number fluctuation rate of target users in the target cell in a second preset acquisition period, wherein the target users comprise: in the second preset acquisition time period, transmitting users with the total data transmission amount greater than or equal to the preset data amount in the target cell;
and determining a preset user fluctuation rate hotspot standard of the target cell in the second preset acquisition time period according to the number fluctuation rate of the target users.
8. The method of claim 1, wherein prior to determining the hot value of the target cell based on a preset hot spot criterion and the hot parameter, further comprising:
acquiring the resource utilization rate of the target cell in a third preset acquisition time period;
and determining a preset resource utilization hot spot standard of the target cell according to the resource utilization of the target cell.
9. The method of claim 8, wherein the resource utilization of the target cell comprises an uplink physical layer time-frequency resource (PRB) utilization of the target cell and a downlink physical layer time-frequency resource (PRB) utilization of the target cell;
and in a third preset acquisition time period, acquiring the resource utilization rate of the target cell, wherein the acquisition comprises the following steps:
acquiring the utilization rate of the PRB of the uplink physical layer of the target cell and the utilization rate of the PRB of the downlink physical layer of the target cell in the third preset acquisition period;
the determining a preset resource utilization hotspot standard of the target cell according to the resource utilization of the target cell includes:
determining a hot spot standard of the utilization rate of a pre-set uplink physical layer time frequency resource PRB (physical resource block) of the target cell according to the utilization rate of the uplink physical layer time frequency resource PRB of the target cell;
and determining a hot spot standard of the utilization rate of the PRB of the preset downlink physical layer time frequency resource of the target cell according to the utilization rate of the PRB of the downlink physical layer time frequency resource of the target cell.
10. An apparatus for identifying a hotspot cell, comprising:
the acquisition module acquires a heat parameter of a target cell, wherein the heat parameter comprises at least one of the following items: the method comprises the following steps of (1) user quantity, resource utilization rate and user fluctuation rate in a preset time period;
the first determining module is used for determining the heat value of the target cell according to a preset hotspot standard and the heat parameter;
and the second determining module is used for determining that the target cell is a hotspot cell when the heat value of the target cell meets a preset heat value standard.
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