CN106937330B - Cell load balancing method and system - Google Patents
Cell load balancing method and system Download PDFInfo
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Abstract
The embodiment of the invention discloses a cell load balancing method and a cell load balancing system, wherein a switching grid among cells is established based on measurement report data, the load in each switching grid among the cells is quantitatively analyzed in a time-sharing mode on the basis, then cell switching parameters are determined according to the load of each cell in a time-sharing mode, the switching grid load and measurement related parameters of the switching grid, and the cells in the switching grid are subjected to load balancing based on the switching parameters. The method is suitable for cell load balancing in the actual environment and is simple to implement.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a cell load balancing method and system.
Background
In a cellular mobile communication system (e.g. LTE system), the arrival rate of users and the type of transmission service are randomly changed, i.e. unbalanced, which results in some cells having service requests far above an acceptable level and having cell congestion, while other cells having very low service requests and still having available resources to serve more users. Therefore, the problem of cell congestion needs to be solved through load balancing, so as to improve the resource utilization rate of the system and provide QOS (Quality of service) guaranteed services for more users.
However, in the current research on cell load balancing, the use condition of the cell radio resources is mostly determined by aggregation based on the occupation condition of a single user on the radio resources, and the calculation and the user switching condition judgment of the balancing method are very complicated and cannot be used in practice.
Therefore, it is necessary to provide a cell load balancing method suitable for a practical environment.
Disclosure of Invention
The invention aims to provide a cell load balancing method and a cell load balancing system, which are used for solving the problem that the existing cell load balancing method cannot be used in practice.
In order to achieve the purpose, the invention provides the following technical scheme:
a cell load balancing method comprises the following steps:
acquiring network data and base station configuration information; the network data includes at least: measurement report data and traffic flow data;
associating the measurement report data with the service flow data according to the base station identifier and the cell identifier to form network use data;
associating the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, extracting a plurality of pieces of user data according to the cell identifier, a measured value of the cell, a physical layer cell number of a neighboring cell and preset measurement related parameters, and converting mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station;
dividing a user grid based on distance and direction angle information in the user data;
determining a switching grid according to the user grid with the measurement related parameters meeting the preset conditions;
counting the load in the switching grid in different time periods, and counting the cell load in the switching grid in different time periods based on the network use data in the switching grid;
determining switching parameters of each cell and adjacent cells based on cell loads, switching grid loads and relevant measurement parameters of a switching grid in a time period;
load balancing cells within a handover grid based on the handover parameters.
Preferably, in the method, the associating the measurement report data with the base station configuration information according to the base station identifier and the cell identifier, and extracting a plurality of pieces of user data according to the cell identifier, the measurement value of the cell, the physical layer cell number of the neighboring cell, and the preset measurement related parameter includes:
associating the measurement report with the base station and the cell basic configuration information in the base station configuration information according to the base station identification and the cell identification to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station;
and associating the initial user data with the configuration information of the cell adjacent region in the configuration information of the base station according to the base station identifier, the cell identifier and the physical layer cell number of the adjacent region, and extracting a plurality of pieces of user data from the associated data according to the measured value and the measurement related parameters of the cell.
In the above method, preferably, the determining the switching grid according to the user grid whose measurement related parameter meets the preset condition includes:
determining the overlapping area of all qualified user grids under the same measurement related parameter in the same adjacent cell in a first cell as a switching grid of the adjacent cell of the first cell to the first cell under the measurement related parameter; the first cell is any cell.
The method, preferably, the method for determining the qualified user grid includes:
based on the first user data where the user grid is located, if the difference value of the measured value of the cell adjacent cell minus the measured value of the cell in the first user data is larger than the measurement related parameter preset in the first user data, and the recording ratio of the measurement report data of which the measured value of the cell is larger than the preset first threshold value in all the measurement report data of the cell is larger than the preset second threshold value, determining that the user grid is a qualified user grid.
Preferably, the determining the handover parameters of each cell and the neighboring cell based on the cell load, the handover grid load, and the measurement parameters related to the handover grid in the time period includes:
in each time period, for a first cell with a load exceeding a preset third threshold value and a first neighboring cell with a load not exceeding the preset third threshold value in the neighboring cells of the first cell, determining a measurement related parameter corresponding to a switching grid with a load smaller than a difference between the first neighboring cell and the third threshold value and the largest in different measurement related parameters of the first cell as a switching parameter from the first cell to the first neighboring cell.
In the above method, preferably, the load balancing the cells in the handover grid based on the handover parameters includes:
and transferring the load amount corresponding to the switching parameter from the first cell to the first neighboring cell.
A cell load balancing system comprising:
the acquisition module is used for acquiring network data and base station configuration information; the network data includes at least: measurement report data and traffic flow data;
a first association module, configured to associate the measurement report data with the traffic flow data according to a base station identifier and a cell identifier, so as to form network usage data;
a second correlation module, configured to correlate the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, extract a plurality of pieces of user data according to the cell identifier, a measurement value of the cell, a physical layer cell number of a neighboring cell, and preset measurement related parameters, and convert mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station;
a dividing module for dividing the user grids based on the distance and direction angle information in the user data;
the first determining module is used for determining a switching grid according to the user grid of which the measurement related parameters meet the preset conditions;
the statistical module is used for carrying out time-interval statistics on the load in the switching grid and carrying out time-interval statistics on the cell load in the switching grid based on the network use data in the switching grid;
a second determining module, configured to determine a handover parameter of each cell and a neighboring cell based on a cell load, a handover grid load, and a measurement parameter related to a handover grid in a time period;
and the balancing module is used for carrying out load balancing on the cells in the switching grid based on the switching parameters.
In the above system, preferably, the second association module includes:
a first association unit, configured to associate the measurement report with a base station and cell basic configuration information in the base station configuration information according to a base station identifier and a cell identifier, so as to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station;
and the second association unit is used for associating the initial user data with the configuration information of the cell adjacent region in the configuration information of the base station according to the base station identifier, the cell identifier and the physical layer cell number of the adjacent region, and extracting a plurality of pieces of user data from the associated data according to the measured value and the measurement related parameters of the cell.
In the above system, preferably, the first determining module includes:
a first determination unit for determining qualified user grids'
A second determining unit, configured to determine an overlapping area of all qualified user grids in a same adjacent cell in a first cell under a same measurement related parameter as a handover grid of the measurement related parameter for the first cell by the adjacent cell of the first cell; the first cell is any cell.
Preferably, in the system, the first determining unit is configured to determine, based on first user data where a user grid is located, that the user grid is a qualified user grid if a difference between a measurement value of a cell neighboring cell in the first user data and a cell measurement value is greater than a measurement related parameter preset in the first user data, and a record proportion of measurement report data of which the cell measurement value is greater than a preset first threshold in all measurement report data of the cell is greater than a preset second threshold.
In the above system, preferably, the second determining module includes:
a third determining unit, configured to determine, in each time period, for a first cell with a load exceeding a preset third threshold and a first neighboring cell with a load not exceeding a preset third threshold among neighboring cells of the first cell, a measurement related parameter corresponding to a switching grid with different measurement related parameters of the first cell, where the load is smaller than a difference between the first neighboring cell and the third threshold and is the largest, as a switching parameter from the first cell to the first neighboring cell.
In the system, preferably, the balancing module is configured to transfer the load amount corresponding to the handover parameter from the first cell to the first neighboring cell.
According to the scheme, the cell load balancing method and the cell load balancing system provided by the application establish the switching grids among the cells based on the measurement report data, quantitatively analyze the load in each switching grid among the cells in a time-interval manner on the basis, then determine the switching parameters among the cells according to the load of each cell in a time-interval manner, the switching grid load and the measurement related parameters of the switching grids, and perform load balancing on the cells in the switching grids based on the switching parameters. The method is suitable for cell load balancing in the actual environment and is simple to implement.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an implementation of a cell load balancing method according to an embodiment of the present invention;
fig. 2 is a diagram that a plurality of pieces of user data are extracted according to a cell identifier, a cell measurement value, a physical layer cell number of an adjacent cell, and preset measurement related parameters according to measurement report data and base station configuration information associated with a base station identifier and a cell identifier provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cell load balancing system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a second association module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a first determining module according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a second determining module according to an embodiment of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be practiced otherwise than as specifically illustrated.
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The cell load balancing method and the cell load balancing system provided by the embodiment of the invention can be used in mobile communication networks such as Long Term Evolution (LTE).
Referring to fig. 1, fig. 1 is a flowchart of an implementation of a cell load balancing method according to an embodiment of the present invention, which may include:
step S11: acquiring network data and base station configuration information; the network data may include at least: measurement report data and traffic flow data; the base station configuration information may include: basic configuration information of a base station and a cell, and configuration information of a cell adjacent cell. Optionally, the network data may further include signaling data.
Wherein, Measurement Report (MR) data can be obtained from a grid system of a mobile communication network; the user signaling data can be obtained from a signaling monitoring system of the mobile communication network; the traffic flow data may be obtained from a Deep Packet Inspection (DPI) system of the mobile communication network.
A structure of the measurement report data is shown in table 1.
TABLE 1
In table 1, the acquisition time refers to the generation time of the measurement report, and the latitude and longitude indicates the geographic position of the mobile phone corresponding to the acquisition time. The measurement may be a reference signal received power.
The structure of the traffic stream data is shown in table 2.
TABLE 2
| Mobile phone number | Base station identification | Cell identity | Time of acquisition | Direction of rotation | Service data packet size | … |
In table 2, the acquisition time refers to the acquisition time of the uplink traffic flow data. The direction is up or down.
Table 3 shows an example of a data structure of the base station and cell basic configuration information.
TABLE 3
Table 4 shows an example of a data structure of configuration information of a cell neighboring cell.
TABLE 4
Step S12: associating measurement report data and service flow data according to the base station identifier and the cell identifier to form network use data; one structural example of the network usage data is shown in table 5.
TABLE 5
The latitude and longitude information in table 5 is the latitude and longitude information of the mobile phone.
If the network data also contains signaling data, then the network use data is formed according to the base station identification and the cell identification associated measurement report data, the service flow data and the signaling data
Step S13: according to the base station identification and the cell identification correlation measurement report data and the base station configuration information, extracting a plurality of pieces of user data according to the cell identification, the measured value of the cell, the physical layer cell number of the adjacent cell and the preset measurement related parameters, and converting the mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station; the direction angle may be 0 degrees in the north direction.
One structural example of the user data is shown in table 6.
TABLE 6
In the embodiment of the present invention, the preset measurement related parameter may be a measurement difference. The measurement related parameter takes several values within a preset range, for example, if the measurement related parameter is a measurement difference, the value of the measurement related parameter may start from 0dBm to the configured switching offset NdBm, which is N +1 values.
In the embodiment of the present invention, the execution sequence of step S12 and step S13 is not specifically limited, and step S12 may be executed first, and step S13 may be executed later, or step S13 may be executed first, and step S12 may be executed later, or step S12 and step S13 may be executed simultaneously.
Step S14: the user grid is divided based on the distance and direction angle information in the extracted user data.
For each piece of user data, determining an area formed by the maximum value and the minimum value of the distance from the mobile phone corresponding to the mobile phone number in the piece of user data to the base station and the maximum value and the minimum value of the direction angle in the user data with the same preset measurement related parameters as a user grid in the piece of user data;
that is, for the user data recorded with the same mobile phone number, the area formed by the maximum value and the minimum value of the distance from the mobile phone to the base station and the maximum value and the minimum value of the direction angle in the user data with the same measurement related parameters is determined as the user raster in each piece of user data recorded with the same mobile phone number.
Step S15: and determining a switching grid according to the user grid with the measurement related parameters meeting the preset conditions.
In the embodiment of the invention, each user grid corresponds to one measurement related parameter. The handover grids for which the measurement related parameters meet the predetermined conditions may be determined based on the user grids for the first neighboring cell of the first cell for the handover grids for the first cell for the corresponding measurement related parameters in the first neighboring cell of the first cell.
Step S16: counting the load in the switching grid in different time periods to determine the switching grid load; and carrying out time-interval statistics on the cell load in the switching grid based on the network use data in the switching grid, and determining the cell load.
When the load in the switching grid is counted in different time intervals, working days and rest days can be distinguished, and the load in the switching grid is counted in different time intervals, for example, the load is counted according to the hourly force, that is, data in each hourly time interval is counted once. An example of the statistical results is shown in table 7.
TABLE 7
In the embodiment of the present invention, the network usage data in the switching grid may be extracted from the latest network usage data periodically (for example, every month and month), based on the distance and the direction angle, and the loads of the same cell in the network usage data of each time period are averaged, so as to form a statistical result of the cell loads of each cell of each time period for distinguishing the working day and the holiday, where the statistical result is shown in table 8.
TABLE 8
Step S17: and determining the switching parameters of each cell and the adjacent cells based on the cell load, the switching grid load and the relevant measurement parameters of the switching grid in the time period.
In each time period, a handover parameter is determined based on the load of the first cell in the time period, the handover grid load in the time period, and the measurement related parameters of the handover grid, wherein the handover parameter is determined from all measurement related parameters in the time period.
Step S18: load balancing cells within the handover grid based on the determined handover parameters.
After the handover parameters are determined, the cells in the handover grid can be subjected to load migration according to the handover parameters, so that load balancing is realized.
The cell load balancing method provided by the embodiment of the invention establishes the switching grids among the cells based on the measurement report data, quantitatively analyzes the load in each switching grid among the cells in a time-sharing manner on the basis, then determines the switching parameters between the cells and the adjacent cells according to the load of each cell in a time-sharing manner, the switching grid load and the measurement related parameters of the switching grids, and performs load balancing on the cells in the switching grids based on the switching parameters.
Optionally, an implementation flowchart for extracting a plurality of pieces of user data according to the measurement report data and the base station configuration information associated with the base station identifier and the cell identifier, the measurement value of the cell, the physical layer cell number of the neighboring cell, and the preset measurement related parameter, provided in the embodiment of the present invention, is shown in fig. 2, and may include:
step S21: associating the measurement report with the base station and the cell basic configuration information in the base station configuration information according to the base station identification and the cell identification to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station; the initial user data may include the following field information: longitude and latitude of the base station corresponding to the base station identification and the cell identification, distance and direction angle between the mobile phone and the base station, physical layer cell number of the serving cell, measurement value of the serving cell, physical layer cell number of the adjacent cell and measurement value of the adjacent cell;
one data structure representation of the initial user data is shown in table 9.
TABLE 9
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Step S22: and associating the initial user data with the configuration information of the cell adjacent region in the configuration information of the base station according to the base station identifier, the cell identifier and the physical layer cell number of the adjacent region, and extracting a plurality of pieces of user data from the associated data according to the measured value and the measurement related parameters of the cell.
Optionally, an implementation manner of determining a switching grid according to a user grid whose measurement related parameters satisfy a preset condition provided in the embodiment of the present invention may be:
determining the overlapping area of all qualified user switching grids under the same measurement related parameter in the same adjacent cell in a first cell as the switching grid of the measurement related parameter of the adjacent cell of the first cell to the first cell; the first cell is any cell.
In the embodiment of the invention, the switching grid is determined only by the qualified user switching grid under the same measurement related parameter in the same adjacent cell in the first cell. That is, the same neighboring cell in the first cell has different handover grids corresponding to different measurement related parameters. That is, if the first cell has N neighboring cells and the measurement related parameter has N selectable values, N × N switching grids are mapped in the first cell.
Optionally, whether the user switching grid is qualified or not may be judged by the following method:
based on first user data where a user grid is located, if the difference between the measured value of the neighboring cell of the serving cell in the first user data and the measured value of the serving cell is greater than a measurement related parameter preset in the first user data, and the recording ratio of measurement report data with the measured value of the serving cell greater than a preset first threshold value is greater than a preset second threshold value, determining that the user grid in the first user data is a qualified user grid.
The record proportion of the measurement report data with the measurement value of the serving cell being greater than the preset first threshold value may refer to a proportion of the number of the measurement report data with the measurement value of the serving cell being greater than the preset first threshold value in the total amount of the measurement report data in the serving cell.
Optionally, in each time period, one implementation manner of determining the inter-cell handover parameter based on the load of each cell, the handover grid load, and the measurement related parameter of the handover grid may include:
in each time period, for a first cell with a load exceeding a preset third threshold value and a first adjacent cell with a load smaller than the preset third threshold value in the adjacent cells of the first cell, determining a measurement related parameter corresponding to a switching grid with different measurement related parameters of the first cell, wherein the switching grid load is smaller than the difference between the first adjacent cell and the third threshold value and the switching grid has the maximum load, as a switching parameter from the first cell to the first adjacent cell.
The following examples are given to illustrate embodiments of the present invention.
The eNB ID represents a cell identifier, the ECI is the cell identifier, and the PCI is a physical layer cell number.
Suppose that the somehow mobile network MR measurement period interval is set to 40 ms. The 139AAAABBBB of the user reports the measurement report at 10 o ' clock 0min 0 sec 0ms on 31 o ' clock of 7/month in 2015, 10 o ' clock 0min 0 sec 40ms on 31 o ' clock of 7/month in 2015, 0 o ' clock 0 sec 80 ms … … 2015 ms on 31 o ' clock of 7/month in 2015, 15 o ' clock 5 min 0 sec 40ms … … 2015 on 31 o ' clock of 7/month in 2015, 16 o ' clock 0min 0 sec 40ms … … on 7/month in 2015. The data integration and analysis module acquires MR data shown in the table 10 from the network management system.
The client 139AAAABBBB accesses the web page with the mobile phone at 2015, 7, 31, 10 o' clock, 0min, 0 sec, 10 ms. The client 139AAAABBBB initiates signaling for RRC connection setup (for Uu port), service request (for S1-MME interface), etc. The data integration and analysis module obtains the signaling data of the customer from the signaling monitoring system, as shown in table 11.
A 10-point 0 minute 0 second 55 ms client 139AAAABBBB handset sends a http protocol 10Kb packet upstream 2015 on 31-month day. A 20Kb http protocol packet is received by the handset of client 139AAAABBBB downlink at 0 minutes 0 seconds 65 milliseconds at 31/10/7/2015. The data consolidation and analysis module obtains the service data records from the DPI system as shown in table 12.
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TABLE 11
TABLE 12
The network usage data is formed based on the data shown in tables 10-12 in association with the base station identity and cell identity as shown in table 13.
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The basic configuration information of the base station and the cell is shown in table 14.
TABLE 14
| Base station identification | Base station longitude | Base station latitude | Base station SSS sequence | ECI | PCI |
| eNB1 | eNB1Long | eNB1Lat | …… | Cell1 | 220 |
| eNB2 | eNB2Long | eNB2Lat | …… | Cell2 | 280 |
| eNB3 | eNB3Long | eNB3Lat | …… | Cell3 | 148 |
| eNB4 | eNB4Long | eNB4Lat | …… | Cell4 | 150 |
| eNB5 | eNB5Long | eNB5Lat | …… | Cell5 | 152 |
| eNB6 | eNB6Long | eNB7Lat | …… | Cell6 | 180 |
| eNB7 | eNB7Long | eNB7Lat | …… | Cell7 | 182 |
| eNB10 | eNB10Long | eNB10Lat | …… | Cell10 | 183 |
| …… | …… | …… | …… | …… | …… |
The configuration information of the cell neighboring cell is shown in table 15.
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| eNB ID | ECI | PCI | Neighbor ECI | Neighbor PCI | Handover offset |
| eNB1 | Cell1 | 220 | Cell3 | 148 | 5 |
| eNB1 | Cell1 | 220 | Cell4 | 150 | 5 |
| eNB1 | Cell1 | 220 | Cell5 | 152 | 5 |
| eNB2 | Cell2 | 280 | Cell6 | 180 | 5 |
| eNB2 | Cell2 | 280 | Cell7 | 182 | 5 |
| eNB2 | Cell2 | 280 | Cel10 | 183 | 5 |
| …… | …… | …… | …… | …… |
Associating the measurement report data with the base station, the cell basic configuration information and the configuration information of the cell adjacent cell according to the base station identifier and the cell identifier, extracting a plurality of pieces of user data according to the cell identifier, the measured value of the cell, the physical layer cell number of the adjacent cell and preset measurement related parameters, and converting the mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station, for example:
the distance and direction angle of the longitude and latitude (aa, bb) from eNB1 are (DiseNB1aabb, AeNB1 aabb).
The distance and direction angle of latitude and longitude (cc, dd) from eNB1 are (DiseNB1ccdd, AeNB1 ccdd).
The distance and direction angle of the latitude and longitude (ee, ff) from eNB1 are (DiseNB1eeff, AeNB1 eeff).
The distance and direction angle of the latitude and longitude (kk, ll) with respect to eNB2 are (DiseNB2kkll, AeNB2 kkll).
The distance and direction angle of longitude and latitude (mm, nn) relative to eNB2 are (DiseNB2mmnn, AeNB2 mmnn).
The user data is shown in table 16.
TABLE 16
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Using the base station identifier, the cell identifier and the configuration information of the neighboring cell, which correlates the user data with the cell PCI, taking the neighboring cell PCI as an analysis object, and taking the conditions that the signal received power of the neighboring cell minus the signal received power of the serving cell is greater than a measurement difference (0dBm, 1dBm, 2dBm, 3dBm, 4dBm, 5dBm) and the reference signal received power of the serving cell is greater than RSRP _35, extracting the user data, and the extraction result is shown in table 17.
TABLE 17
In the user data, the maximum distance is the maximum distance of the user grid, the minimum distance is the minimum distance of the user grid, the maximum direction angle is the maximum direction angle of the user grid, and the minimum direction angle is the minimum direction angle of the user grid.
The maximum distance among MR data of a user 139AAAABBBB, which is obtained by subtracting the signal received power of the Cell1 from the signal received power of the Cell4 in the Cell1 under the base station eNB1 and whose Cell1 signal received power is greater than 0 and Cell1 reference signal received power is greater than RSRP _35, is DisCell1ABCell4Off0Max, minimum distance DisCell1ABCell4Off0Min, maximum direction angle abell 1ABCell4Off0Max, and minimum direction angle abell 1ABCell4Off0 Min.
The maximum distance among MR data of a user 139AAAABBBB, which is obtained by subtracting the signal received power of the Cell1 from the signal received power of the Cell4 in the Cell1 under the base station eNB1 and whose Cell1 signal received power is greater than 1 and Cell1 reference signal received power is greater than RSRP _35, is DisCell1ABCell4Off1Max, minimum distance DisCell1ABCell4Off1Min, maximum direction angle abell 1ABCell4Off1Max, and minimum direction angle abell 1ABCell4Off1 Min.
……
The maximum distance among MR data of a user 139AAAABBBB, which is obtained by subtracting the signal received power of the Cell2 from the signal received power of the Cell6 in the Cell2 under the base station eNB2 and whose Cell2 signal received power is greater than 0 and Cell2 reference signal received power is greater than RSRP _35, is DisCell2ABPCell6Off0Max, minimum distance DisCell2ABCell6Off0Min, maximum direction angle abell 2ABCell6Off0Max, and minimum direction angle asecell 2ABCell6Off0 Min.
The maximum distance among MR data of a user 139AAAABBBB, which is obtained by subtracting the signal received power of the Cell2 from the signal received power of the Cell6 in the Cell2 under the base station eNB2 and whose Cell2 signal received power is greater than 1 and Cell2 reference signal received power is greater than RSRP _35, is DisCell2ABPCell6Off1Max, minimum distance DisCell2ABCell6Off1Min, maximum direction angle abell 2ABCell6Off1Max, and minimum direction angle asecell 2ABCell6Off1 Min.
The resulting user raster data is shown in table 18.
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And counting the occupation ratio of the user MR data records meeting the conditions in the user grids, wherein if the occupation ratio exceeds 70%, the user grids are qualified user grids.
The MR data record occupancy of the neighbor Cell4 signal received power minus the Cell1 signal received power being greater than 0 and the Cell1 reference signal received power being greater than RSRP _35 in the user 139 aaaaaabbbb grid with the neighbor Cell4 handover offset of 0 in the Cell1 under the base station eNB1 is 75%. It is a qualified user grid.
The MR data record occupancy of the neighbor Cell4 signal received power minus the Cell1 signal received power being greater than 1 and the Cell1 reference signal received power being greater than RSRP _35 in the user 139 aaaaaabbbb grid with the neighbor Cell4 handover offset of 1 in the Cell1 under the base station eNB1 is 85%. It is a qualified user grid.
……
The MR data record occupancy of the neighbor Cell6 signal received power minus the Cell2 signal received power being greater than 0 and the Cell2 reference signal received power being greater than RSRP _35 in the user 139 aaaaaabbbb grid with the neighbor Cell6 handover offset of 0 in the Cell2 under the base station eNB2 is 73%. It is a qualified user grid.
The MR data record occupancy of the neighbor Cell6 signal received power minus the Cell2 signal received power being greater than 1 and the Cell2 reference signal received power being greater than RSRP _35 in the user 139 aaaaaabbbb grid with the neighbor Cell6 handover offset of 1 in the Cell2 under the base station eNB2 is 78%. It is a qualified user grid.
……
The overlapping area of all qualified user switching grids of the same switching offset of the same adjacent cell in the same cell is the switching grid of the adjacent cell to the cell at the switching offset. For example,
the qualified user grid overlapping area with the handover offset of 0 for the neighboring Cell4 in the Cell1 under the base station eNB1 is: the maximum distance is DisCell1Cell4Off0Max, minimum distance DisCell1Cell4Off0Min, maximum direction angle AeCell1Cell4Off0Max, and minimum direction angle AeCell1Cell4Off0 Min.
The qualified user grid overlapping area with the handover offset of 1 for the neighboring Cell4 in the Cell1 under the base station eNB1 is: the maximum distance is DisCell1Cell4Off1Max, minimum distance DisCell1Cell4Off1Min, maximum direction angle AeCell1Cell4Off1Max, and minimum direction angle AeCell1Cell4Off1 Min.
……
The qualified user grid overlapping area with the handover offset of 0 for the neighboring Cell6 in the Cell2 under the base station eNB2 is: the maximum distance is DisCell2Cell6Off0Max, minimum distance DisCell2Cell6Off0Min, maximum direction angle abecel 2Cell6Off0Max, and minimum direction angle abecel 2Cell6Off0 Min.
The qualified user grid overlapping area with the handover offset of 1 for the neighboring Cell6 in the Cell2 under the base station eNB2 is: the maximum distance is DisCell2Cell6Off1Max, minimum distance DisCell2Cell6Off1Min, maximum direction angle abecel 2Cell6Off1Max, and minimum direction angle abecel 2Cell6Off1 Min.
The resulting switching raster data is shown in table 19.
Watch 19
And processing the user network use data of the last month at the beginning of each month. And extracting the user network use data in the switching grid from the data by using the eNB ID and the ECI as the related fields and taking the distance and the direction angle as conditions in the switching grid. The extraction results are shown in table 20.
Watch 20
The load in the time interval grid is counted per hour.
For example, 10 to 11 on 31/7/2015, the uplink traffic in the handover grid of Cell4 in Cell1 of base station eNB1 is 500Mb, and the downlink traffic is 2 Gb. The statistical results are shown in table 21.
TABLE 21
The data of each time interval of the table 21 are averaged to form a cell switching grid load table of each time interval of the working day and the rest day, as shown in table 22.
TABLE 22
It is assumed that the latest uplink and downlink traffic data of the cell is differentiated at the beginning of each month, and the load of each time period is averaged on the rest day, and the obtained statistical results are shown in table 23.
TABLE 23
An example of the implementation of load balancing by cell load and load in the cell handover grid is as follows:
cell1 is selected with a load exceeding a threshold (assumed to be 300 Gb). And then, a neighboring Cell4 (the load is 286Gb is assumed) is selected, wherein the load of the Cell1 does not exceed the threshold.
And calculating the difference value between the load of the Cell4 in the adjacent Cell and the threshold value 300Gb to be 14 Gb.
In the neighbor Cell4, the switching grid load at the switching grid of the Cell1 is 11GB, smaller than 14GB, and larger than the switching grid load at the switching offset of 3. The handover offset from Cell1 to Cell4 is therefore 2. This shifts the 11GB load from Cell1 to Cell4 at 10 o 'clock to 11 o' clock on weekdays.
After the 11GB load is transferred, the load of the Cell1 is 299Gb which is smaller than a threshold value 300 Gb. Thus stopping shifting the load.
The embodiment of the invention also provides a cell load balancing system. A schematic structural diagram of a cell load balancing system provided in an embodiment of the present invention is shown in fig. 3, and may include:
an obtaining module 31, a first associating module 32, a second associating module 33, a dividing module 34, a first determining module 35, a counting module 36, a second determining module 37 and a balancing module 38; wherein the content of the first and second substances,
the obtaining module 31 is configured to obtain network data and base station configuration information; the network data includes at least: measurement report data and traffic flow data;
the first association module 32 is configured to associate the measurement report data and the traffic flow data according to a base station identifier and a cell identifier to form network usage data;
the second correlation module 33 is configured to correlate the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, extract a plurality of pieces of user data according to the cell identifier, a measurement value of the cell, a physical layer cell number of a neighboring cell, and preset measurement related parameters, and convert mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station;
the dividing module 34 is configured to divide a user grid based on the distance and direction angle information in the user data;
the first determining module 35 is configured to determine a switching grid according to a user grid whose measurement related parameters meet a preset condition;
the statistic module 36 is configured to perform time-interval statistics on the load in the switching grid, and perform time-interval statistics on the cell load in the switching grid based on the network usage data in the switching grid;
the second determining module 37 is configured to determine a handover parameter between each cell and the neighboring cell based on the cell load, the handover grid load, and the measurement parameter related to the handover grid in the time period;
the balancing module 38 is configured to load balance the cells in the handover grid based on the handover parameters.
The cell load balancing system provided by the embodiment of the invention establishes the switching grids among the cells based on the measurement report data, quantitatively analyzes the load in each switching grid among the cells in a time-sharing manner on the basis of the time-sharing basis, then determines the switching parameters between the cells and the adjacent cells according to the load of each cell in a time-sharing manner, the switching grid load and the measurement related parameters of the switching grids, and performs load balancing on the cells in the switching grids based on the switching parameters.
Optionally, a schematic structural diagram of the second association module 33 provided in the embodiment of the present invention is shown in fig. 4, and may include:
a first associating unit 41, configured to associate the measurement report with the base station and the cell basic configuration information in the base station configuration information according to a base station identifier and a cell identifier, so as to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station;
a second associating unit 42, configured to associate the initial user data with configuration information of a cell neighboring cell in the configuration information of the base station according to the base station identifier, the cell identifier, and a physical layer cell number of the neighboring cell, and extract a plurality of pieces of user data from the associated data according to a measured value and measurement related parameters of the cell.
Optionally, a schematic structural diagram of the first determining module 35 provided in the embodiment of the present invention is shown in fig. 5, and may include:
a first determining unit 51 for determining qualified user grids'
A second determining unit 52, configured to determine an overlapping area of all qualified user grids in the same adjacent cell in a first cell under the same measurement related parameter as a handover grid of the adjacent cell of the first cell to the first cell under the measurement related parameter; the first cell is any cell.
Optionally, the first determining unit 51 is specifically configured to, based on the first user data where the user grid is located, determine that the user grid is a qualified user grid if a difference between a measurement value of a cell neighboring cell in the first user data and a measurement value of the cell is greater than a measurement related parameter preset in the first user data, and a record occupancy of measurement report data of which the measurement value of the cell is greater than a preset first threshold in all measurement report data of the cell is greater than a preset second threshold.
Optionally, a schematic structural diagram of the second determining module 37 provided in the embodiment of the present invention is shown in fig. 6, and may include:
a third determining unit 61, configured to determine, in each time period, for a first cell with a load exceeding a preset third threshold and a first neighboring cell with a load smaller than a preset third threshold among the neighboring cells of the first cell, a measurement related parameter corresponding to a switching grid of different measurement related parameters of the first cell, where the switching grid load is smaller than that of the first neighboring cell and the switching grid has a largest load, as a switching parameter from the first cell to the first neighboring cell.
Optionally, the balancing module 38 is specifically configured to transfer the load amount corresponding to the determined handover parameter from the first cell to the first neighboring cell.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (12)
1. A method for cell load balancing, comprising:
acquiring network data and base station configuration information; the network data includes at least: measurement report data and traffic flow data;
associating the measurement report data with the service flow data according to the base station identifier and the cell identifier to form network use data;
associating the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, extracting a plurality of pieces of user data according to the cell identifier, a measured value of the cell, a physical layer cell number of a neighboring cell and preset measurement related parameters, and converting mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station;
dividing a user grid based on distance and direction angle information in the user data;
determining a switching grid according to the user grid with the measurement related parameters meeting the preset conditions;
counting the load in the switching grid in different time periods, and counting the cell load in the switching grid in different time periods based on the network use data in the switching grid;
determining switching parameters of each cell and adjacent cells based on cell loads, switching grid loads and relevant measurement parameters of a switching grid in a time period;
load balancing cells within a handover grid based on the handover parameters.
2. The method of claim 1, wherein the associating the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, and the extracting a plurality of pieces of user data according to a cell identifier, a measurement value of a cell, a physical layer cell number of a neighboring cell, and a preset measurement related parameter comprises:
associating the measurement report with the base station and the cell basic configuration information in the base station configuration information according to the base station identification and the cell identification to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station;
and associating the initial user data with the configuration information of the cell adjacent region in the configuration information of the base station according to the base station identifier, the cell identifier and the physical layer cell number of the adjacent region, and extracting a plurality of pieces of user data from the associated data according to the measured value and the measurement related parameters of the cell.
3. The method of claim 1, wherein the determining the switching grid according to the user grid whose measurement related parameters satisfy the preset condition comprises:
determining an overlapping area of all qualified user grids corresponding to the same measurement related parameter under the same adjacent cell of a first cell as a switching grid of the adjacent cell of the first cell to the first cell in the measurement related parameter; the first cell is any cell.
4. The method of claim 3, wherein the qualified user grid is determined by:
based on the first user data where the user grid is located, if the difference value of the measured value of the cell adjacent cell minus the measured value of the cell in the first user data is larger than the measurement related parameter preset in the first user data, and the recording ratio of the measurement report data of which the measured value of the cell is larger than the preset first threshold value in all the measurement report data of the cell is larger than the preset second threshold value, determining that the user grid is a qualified user grid.
5. The method of claim 1, wherein the determining the handover parameters of each cell and the neighboring cell based on the cell load in the time period, the handover grid load and the measurement parameters related to the handover grid comprises:
in each time period, for a first cell with a load exceeding a preset third threshold value and a first neighboring cell with a load not exceeding the preset third threshold value in the neighboring cells of the first cell, determining a measurement related parameter corresponding to a switching grid with a maximum load in different measurement related parameters of the first cell in the switching grid with the load smaller than a difference value between the first neighboring cell and the third threshold value as a switching parameter from the first cell to the first neighboring cell.
6. The method of claim 5, wherein the load balancing cells within a handover grid based on the handover parameters comprises:
and transferring the load amount corresponding to the switching parameter from the first cell to the first neighboring cell.
7. A cell load balancing system, comprising:
the acquisition module is used for acquiring network data and base station configuration information; the network data includes at least: measurement report data and traffic flow data;
a first association module, configured to associate the measurement report data with the traffic flow data according to a base station identifier and a cell identifier, so as to form network usage data;
a second correlation module, configured to correlate the measurement report data with the base station configuration information according to a base station identifier and a cell identifier, extract a plurality of pieces of user data according to the cell identifier, a measurement value of the cell, a physical layer cell number of a neighboring cell, and preset measurement related parameters, and convert mobile phone longitude and latitude information in the user data into distance and direction angle information relative to the base station;
a dividing module for dividing the user grids based on the distance and direction angle information in the user data;
the first determining module is used for determining a switching grid according to the user grid of which the measurement related parameters meet the preset conditions;
the statistical module is used for carrying out time-interval statistics on the load in the switching grid and carrying out time-interval statistics on the cell load in the switching grid based on the network use data in the switching grid;
a second determining module, configured to determine a handover parameter of each cell and a neighboring cell based on a cell load, a handover grid load, and a measurement parameter related to a handover grid in a time period;
and the balancing module is used for carrying out load balancing on the cells in the switching grid based on the switching parameters.
8. The system of claim 7, wherein the second correlation module comprises:
a first association unit, configured to associate the measurement report with a base station and cell basic configuration information in the base station configuration information according to a base station identifier and a cell identifier, so as to obtain initial user data; converting the longitude and latitude information of the mobile phone in the initial user data into distance and direction angle information relative to the base station;
and the second association unit is used for associating the initial user data with the configuration information of the cell adjacent region in the configuration information of the base station according to the base station identifier, the cell identifier and the physical layer cell number of the adjacent region, and extracting a plurality of pieces of user data from the associated data according to the measured value and the measurement related parameters of the cell.
9. The system of claim 7, wherein the first determining module comprises:
a first determination unit for determining qualified user grids'
A second determining unit, configured to determine an overlapping area of all qualified user grids corresponding to the same measurement related parameter in the same neighboring cell of the first cell as a handover grid of the measurement related parameter for the first cell by the neighboring cell of the first cell; the first cell is any cell.
10. The system according to claim 9, wherein said first determining unit is configured to determine, based on first user data in which a user grid is located, that the user grid is a qualified user grid if a difference between a measurement value of a cell neighboring cell in the first user data and a cell measurement value is greater than a measurement related parameter preset in the first user data, and a record proportion of measurement report data in which the measurement value of the cell is greater than a preset first threshold value in all measurement report data of the cell is greater than a preset second threshold value.
11. The system of claim 7, wherein the second determining module comprises:
a third determining unit, configured to determine, in each time period, for a first cell with a load exceeding a preset third threshold and a first neighboring cell with a load not exceeding a preset third threshold among the neighboring cells of the first cell, a measurement related parameter corresponding to a switching grid with a load that is smaller than a difference between the first neighboring cell and the third threshold in different switching grids of measurement related parameters of the first cell and that is the largest in the switching grids of the first cell, as a switching parameter from the first cell to the first neighboring cell.
12. The system of claim 11, wherein the balancing module is configured to transfer a load amount corresponding to the handover parameter from the first cell to the first neighboring cell.
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