CN112020098B - Load balancing method, device, computing equipment and computer storage medium - Google Patents
Load balancing method, device, computing equipment and computer storage medium Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of communication, and discloses a load balancing method, a device, a computing device and a computer storage medium, wherein the method comprises the following steps: collecting operation data of each cell; determining a high-load cell according to the operation data; determining the same coverage cell of the high-load cell; generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell; and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell. Through the mode, the embodiment of the invention realizes that the load of the high-load cell is balanced to the same coverage cell.
Description
Technical Field
The embodiment of the invention relates to the technical field of wireless communication, in particular to a load balancing method, a load balancing device, a computing device and a computer storage medium.
Background
The purpose of LTE load balancing is to uniformly distribute cell load among cells or transfer part of load from a congested cell to other cells, thereby improving user experience in the congested cell and optimizing network performance.
The existing balancing method is that an operator manually analyzes the load quantity of a cell, and the load of a high-load cell is balanced to some low-load cells at the periphery by manually adjusting load balancing parameters. The determination of these high load cells is based only on the experience of the operator, and the determination of the low load cells receiving the load is also based only on the fixed orientation between the cells, and the quantitative analysis of the indexes of the high load cells and the surrounding co-coverage cells is not performed, so that the scheme has randomness and inaccuracy. In addition, the existing load balancing method is traditional manual analysis and manual processing, and the method has low load balancing efficiency and cannot cope with load change.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention provide a load balancing method, apparatus, computing device, and computer storage medium, which overcome or at least partially solve the foregoing problems.
According to an aspect of an embodiment of the present invention, there is provided a load balancing method, the method including:
collecting operation data of each cell;
determining a high-load cell according to the operation data;
determining the same coverage cell of the high-load cell;
Generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell;
and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
In an alternative manner, determining a high load cell according to the operation data includes: determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average activation user number larger than a first threshold value and/or the wireless utilization rate larger than a second threshold value as a high-load cell.
In an alternative manner, determining the same coverage cell of the high load cell includes: respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window; determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency; determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement; and taking the same-frequency same-coverage cell and the different-frequency same-coverage cell as the same-coverage cell of the high-load cell.
In an optional manner, according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points measured in the same frequency, determining the same-frequency and same-coverage cell of the high-load cell includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the same-frequency measurement is larger than a third threshold value, determining the adjacent cell as the same-frequency same-coverage cell of the high-load cell.
In an optional manner, determining the inter-frequency co-coverage cell of the high-load cell according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points of the inter-frequency measurement includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the inter-frequency measurement is larger than a fourth threshold value, determining the adjacent cell as the same-frequency and same-coverage cell of the high-load cell.
In an optional manner, the co-coverage cell is a co-frequency co-coverage cell, the load type to be balanced in the high-load cell is an idle load, and the generating a corresponding load balancing policy according to the load type to be balanced in the high-load cell includes: the same frequency and coverage cells are subjected to descending order according to the proportion of the number of sampling points of the cells to the total number of sampling points measured by the same frequency, so as to obtain a same frequency neighbor cell table; acquiring the average activation user number and wireless utilization rate of each cell in the same-frequency neighbor cell table; sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list, wherein N is a natural number larger than 0; acquiring reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table; and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
In an optional manner, the same coverage cell is a different frequency same coverage cell, the load type to be balanced in the high load cell is an idle load, and the generating a corresponding load balancing strategy according to the load type to be balanced in the high load cell includes: determining the frequency of the cell with the most same frequency among K cells closest to the high-load cell in the different-frequency same-coverage cells, wherein K is a natural number greater than 0; determining the reselection priority of the frequency according to the frequency corresponding to the cell with the most same frequency; and when the reselection priority of the high-load cell is higher than the reselection priority of the cell, adjusting the reselection priority of the high-load cell to be the reselection priority of the cell.
In an optional manner, the load of the high-load cell includes an active load, and the generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell includes: calculating a first difference between the average number of activated users and the first threshold, and a second difference between the wireless utilization rate and the second threshold; acquiring the minimum value of the first difference value and the minimum value of the second difference value; updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value respectively; and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of users to be activated of the high-load cell.
According to another aspect of an embodiment of the present invention, there is provided a load balancing apparatus including: the system comprises an acquisition module, a first determination module, a second determination module, a generation module and a sending module, wherein the acquisition module is used for acquiring operation data of each cell; the first determining module is used for determining a high-load cell according to the operation data; the second determining module is used for determining the same coverage cell of the high-load cell; the generation module is used for generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell; and the sending module is used for sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
In an alternative manner, the first determining module is further configured to: determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average activation user number larger than a first threshold value and/or the wireless utilization rate larger than a second threshold value as a high-load cell.
In an alternative manner, the second determining module is further configured to: respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window; determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency; determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement; and taking the same-frequency same-coverage cell and the different-frequency same-coverage cell as the same-coverage cell of the high-load cell.
In an optional manner, according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points measured in the same frequency, determining the same-frequency and same-coverage cell of the high-load cell includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the same-frequency measurement is larger than a third threshold value, determining the adjacent cell as the same-frequency same-coverage cell of the high-load cell.
In an optional manner, determining the inter-frequency co-coverage cell of the high-load cell according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points of the inter-frequency measurement includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the inter-frequency measurement is larger than a fourth threshold value, determining the adjacent cell as the same-frequency and same-coverage cell of the high-load cell.
In an optional manner, the load of the high load cell includes an idle state load, the co-coverage cell is a co-frequency co-coverage cell, a load type of the load to be balanced in the high load cell is an idle state load, and the generating module is further configured to: the same frequency and coverage cells are subjected to descending order according to the proportion of the number of sampling points of the cells to the total number of sampling points measured by the same frequency, so as to obtain a same frequency neighbor cell table; acquiring the average activation user number and wireless utilization rate of each cell in the same-frequency neighbor cell table; sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list, wherein N is a natural number larger than 0; generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table; and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
In an optional manner, the same coverage cell is a different frequency same coverage cell, a load type of the load to be balanced in the high load cell is an idle load, and the generating module is further configured to: determining the most frequent cells among K cells closest to the high-load cell in the different-frequency same-coverage cells, wherein K is a natural number greater than 0; determining the reselection priority of the cell according to the frequency corresponding to the cell with the most identical frequency; and when the reselection priority of the high-load cell is higher than the reselection priority of the cell, adjusting the reselection priority of the high-load cell to be the reselection priority of the cell.
In an alternative manner, the load type of the load to be balanced in the high load cell is an active load, and the generating module is further configured to: calculating a first difference between the average number of activated users and the first threshold, and a second difference between the wireless utilization rate and the second threshold; acquiring the minimum value of the first difference value and the minimum value of the second difference value; updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value respectively; and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of users to be activated of the high-load cell.
According to another aspect of an embodiment of the present invention, there is provided a computing device including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the load balancing method.
According to still another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to one of the load balancing methods described above.
According to the embodiment of the invention, the high-load cell is determined according to the collected operation data of each cell, and the same coverage cell of the high-load cell is determined, so that a quantitative analysis index is provided for the determination of the high-load cell and the same coverage cell of the high-load cell; according to the load type of the load to be balanced in the high-load cell, a corresponding load balancing strategy is generated, and the strategy is sent to the high-load cell, so that high-efficiency load balancing is realized.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of a load balancing method according to a first embodiment of the present invention;
fig. 2 shows a flow chart of a load balancing method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a load balancing method according to a third embodiment of the present invention;
fig. 4 is a flowchart of a load balancing method according to a fourth embodiment of the present invention;
fig. 5 shows a functional block diagram of a load balancing apparatus according to a fifth embodiment of the present invention;
Fig. 6 shows a schematic structural diagram of a computing device according to a sixth embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flow chart of a load balancing method according to a first embodiment of the invention, as shown in fig. 1, comprising the steps of:
step 110: and collecting the operation data of each cell.
The operating data of the cell includes performance data of the cell, measurement reports and network configuration parameters. The performance data of the network element corresponds to a network index, and is used for representing the running condition of the network, and the performance data comprises load type parameters of an access cell, such as wireless utilization rate, access user number and the like. The measurement report is a network signal measurement statistical file of a cell and is used for measuring the quality of a wireless network, and the measurement report is continuously reported to a load balancing system when a user performs service. The measurement report may reflect the coverage of the cell and the correlation between the cell and the neighbor. The network configuration parameters are the network configuration parameters of the cells and are used for controlling various wireless functions such as handover, reselection, load balancing and the like.
In the step, the main body of parameter acquisition is an intelligent balance optimization system for automatically acquiring the cell operation data in real time. The intelligent balance optimization system is related to the wireless communication standard of the load end and the data section, the existing wireless communication standard is mainly an LTE network, the corresponding intelligent balance optimization system is an LTE intelligent balance optimization system, and the system is mainly optimized for LTE communication equipment. The following describes an LTE intelligent balance optimization system as an example.
Step 120: and determining a high-load cell according to the operation data.
The measurement standard of the high-load cell is determined by the number of users connected with the high-load cell, and in order to keep consistent with the triggering condition of the load balancing wireless function provided by the main LTE communication equipment provider, the LTE intelligent balancing optimization system selects the average activation user number and the wireless utilization rate of the cell as the screening judgment basis of the high-load cell. The average activation user number and the wireless utilization rate of the cell are selected according to specific equipment manufacturers, for example, for the equipment of the manufacturers of Huacheng, zhongxing and the like, the average activation user number is selected as a high-load judging index, and for the equipment of Nokia production, the wireless utilization rate of the cell is selected as the high-load judging index.
And the LTE intelligent balance optimization system determines the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data. And determining the cell with the average activation user number larger than the first threshold value and/or the wireless utilization ratio larger than the second threshold value as a high-load cell. The first threshold is a threshold of the average activation user number of the cell, and the second threshold is a threshold of the wireless utilization rate of the cell.
In consideration of the variability of the cell load, each index is counted for a certain time when determining a high load cell. For example, the average activation user number and the wireless utilization rate in the last 15 minutes are used as the judgment indexes of the cell.
Step 130: and determining the same coverage cell of the high-load cell.
In this step, the same coverage cell of the high load cell refers to a cell having the same coverage area as the high load cell. The measurement report can reflect the coverage condition of the cell and the correlation condition between the cell and the adjacent cell, so that the determination of the same coverage cell is mainly based on the measurement report of the high-load cell acquired by the LLTE intelligent balance optimization system.
The same coverage cells of the high load cell include same frequency same coverage cells and different frequency same coverage cells, and in some embodiments, the determination of the same coverage cells is achieved by performing same frequency sampling and different frequency sampling in the high load cell, taking into account the same coverage of the high load cell and its same coverage cells. In consideration of the load variability, when sampling is performed, sampling is performed for a high load cell within a preset time window, where the preset time window represents a period of time closest to the current sampling time, for example, sampling is performed for a high load cell of 15 minutes closest.
And respectively calculating the total number of sampling points measured in the same frequency and the total number of sampling points measured in different frequencies in the high-load cell in a preset time window, and determining the same-frequency same-coverage cell of the high-load cell according to the proportion of the number of sampling points in each adjacent cell in the total number of sampling points measured in the same frequency. When the proportion of the number of sampling points of the adjacent cell to the total number of sampling points measured in the same frequency is larger than a third threshold value, the adjacent cell is determined to be the same-frequency same-coverage cell of the high-load cell. Wherein the third threshold is a value manually set by a person skilled in the art in the course of implementing the embodiment of the present invention. And determining different-frequency same-coverage cells of the high-load cell according to the proportion of the sampling points of each adjacent cell in the total number of the sampling points of the different-frequency measurement. When the proportion of the number of sampling points of the adjacent cell to the total number of sampling points of the pilot frequency measurement is larger than a fourth threshold value, the adjacent cell is determined to be the pilot frequency same coverage cell of the high-load cell. The fourth threshold is a value manually set by a person skilled in the art in the process of implementing the embodiment of the present invention, and the fourth threshold and the third threshold may be set to the same value or different values. And taking the same-frequency same-coverage cell and the different-frequency same-coverage cell as the same-coverage cell of the high-load cell.
Step 140: and generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell.
The load types of the load to be balanced in the high-load cell comprise idle state load and active state load, and when load balancing is carried out, the load balancing modes adopted for the idle state load and the active state load are different, so that corresponding load balancing strategies are generated for the load types to be balanced in the high-load cell by combining balancing parameters of the same coverage cell.
Step 150: and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
And the LTE intelligent balance optimization system sends the load balance strategy generated in the step 140 to a high-load cell, and the high-load cell adjusts corresponding balance parameters according to the load balance strategy, and after the balance parameters are adjusted, part of load in the high-load cell is migrated from the high-load cell and is connected to the same coverage cell.
According to the embodiment of the invention, the high-load cell is determined according to the collected operation data of each cell, and the same coverage cell of the high-load cell is determined, so that a quantitative analysis index is provided for the determination of the high-load cell and the same coverage cell of the high-load cell; in addition, when the high-load cell and the same coverage cell of the high-load cell are determined, the time granularity is set, the change of the cell load is fully considered, and the accuracy of cell analysis is ensured. According to the load type of the load to be balanced in the high-load cell, a corresponding load balancing strategy is generated, and the strategy is sent to the high-load cell, so that high-efficiency load balancing is realized.
Fig. 2 shows a flow chart of a load balancing method according to a second embodiment of the present invention, in this embodiment, a co-coverage cell is a co-frequency co-coverage cell, and a load type of a load to be balanced in a high load cell is an idle load, and this embodiment includes the following steps as shown in fig. 2:
step 210: and collecting the operation data of each cell.
Step 220: and determining a high-load cell according to the operation data.
Step 230: and calculating the total number of sampling points measured by the same frequency of the high-load cell in a preset time window.
Step 240: and determining the same-frequency and same-coverage cells of the high-load cells according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency.
The specific description of steps 210 to 240 refers to steps 110 to 230 of one embodiment, and will not be repeated here.
Step 250: and (3) arranging all cells in the same coverage cell in a descending order according to the proportion of the number of the sampling points of the cell to the total number of the sampling points measured at the same frequency to obtain a same-frequency neighbor cell table.
The larger the proportion of the number of the sampling points of the cell to the total number of the sampling points measured at the same frequency is, the larger the area covered by the same frequency is, and the easier the load in the high-load cell is balanced to the cell covered by the same frequency is when the load is balanced.
Step 260: and sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list.
In this step, the fifth threshold and the sixth threshold are used to represent the load threshold of the neighboring cell, that is, the average activation user number is less than or equal to the fifth threshold, and/or the wireless utilization rate is less than or equal to the sixth threshold, which is considered that the threshold of the cell is not reached, and more load can be received on the premise of guaranteeing the communication quality of the cell. Wherein N is a natural number greater than 0, and N is selected in relation to the number of loads to be balanced in the high-load cell. For example, if the load to be balanced is small in the high load cell, only one common-frequency and common-coverage cell is selected to accommodate the load, the value of N is set to 1. In the specific embodiment, N may be set manually by a person skilled in the art according to the load condition of the high load cell, and the present invention is not limited to the value of N.
The new same-frequency neighbor cell list only comprises the same-frequency same-coverage cells capable of accommodating the load.
Step 270: and generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table.
The reselection bias parameter is used to indicate how hard it is to make a load handoff between two cells. The larger the reselection bias parameter between two cells, the easier it is to achieve load balancing between the two cells. In this step, the reselection bias parameter is used to represent the reselection bias parameter between the high load cell and the same-frequency co-coverage cell.
Step 280: and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
The preset parameter value is the maximum value of the reselection bias parameter between the high load cell and the same frequency and same coverage cell, and the value is a natural number greater than 0. When the reselection bias parameter between the high-load cell and a certain same-frequency same-coverage cell is smaller than a preset parameter value, the reselection bias parameter between the high-load cell and the same-frequency same-coverage cell is adjusted to the preset parameter value so as to realize load balancing between the high-load cell and the same-frequency same-coverage cell. In a specific embodiment, if the preset parameter value is 4, when the reselection bias parameter adjustment is performed, the reselection bias parameters with reselection bias parameters lower than 4 between all cells with high load are adjusted to be 4.
Step 290: and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same-frequency same-coverage cell.
And (3) transmitting the load balancing strategies determined in the steps 250 to 280 to the high-load cell so that the high-load cell adjusts relevant cell reselection parameters according to the load balancing strategies to realize idle state load balancing to the same-frequency and same-coverage cells.
According to the embodiment of the invention, the load balancing is realized by adjusting the reselection bias parameters between the high-load cell and the same-frequency same-coverage cell, so that the idle state load of the high-load cell is balanced to the same-frequency same-coverage cell.
Fig. 3 shows a flow chart of a load balancing method according to a third embodiment of the present invention, in this embodiment, the same coverage cell is a different frequency same coverage cell, and the load type of the load to be balanced in the high load cell is an idle load, and this embodiment includes the following steps as shown in fig. 3:
step 310: and collecting the operation data of each cell.
Step 320: and determining a high-load cell according to the operation data.
Step 330: and calculating the total number of sampling points of the pilot frequency measurement of the high-load cell in a preset time window.
Step 340: and determining different-frequency same-coverage cells of the high-load cell according to the proportion of the sampling points of each adjacent cell in the total number of the sampling points of the different-frequency measurement.
The specific description of steps 310 to 340 refers to steps 110 to 230 of one embodiment, and will not be repeated here.
Step 350: and determining the cell with the most same frequency from K cells which are closest to the high-load cell in the different-frequency same-coverage cells.
In the step, K is a natural number larger than 0, K neighbor algorithm is adopted in K cells closest to the high-load cell in the different-frequency same-coverage cells, the algorithm is a machine learning algorithm, and K different-frequency same-coverage cells closest to the high-load cell are determined through the distance between each different-frequency same-frequency cell and the high-load cell.
In K different frequency and coverage cells, each cell has a corresponding frequency, and when load switching is carried out, the cell with the same frequency and the most frequency is preferentially considered.
Step 360: and determining the reselection priority of the cell according to the frequency corresponding to the cell with the most identical frequency.
The reselection priorities of the cells are related to the frequencies of the cells, for example, in LTE, the reselection priorities of the cells of the F band are 5 and the reselection priorities of the cells of the d band are 7. The higher the reselection priority of a cell, the less easily load balancing is achieved.
Step 370: when the reselection priority of the high-load cell is higher than the reselection priority of the cell, the reselection priority of the high-load cell is adjusted to be the reselection priority of the cell.
In order to balance the load of the high load cell to the different frequency same coverage cell, the reselection priority of the high load cell is adjusted to the reselection priority of the different frequency same coverage cell of the load to be received.
Step 380: and sending the load balancing strategy to the high-load cell so as to lead the high-load cell and the different-frequency same-coverage cell to carry out load balancing.
According to the embodiment of the invention, the load balancing is realized by adjusting the reselection priority between the high-load cell and the same-frequency same-coverage cell, so that the idle state load of the high-load cell is balanced to the different-frequency same-coverage cell.
Fig. 4 shows a flowchart of a load balancing method according to a fourth embodiment of the present invention, in which a load type of a load to be balanced in a high load cell is an active load, and the embodiment of the present invention includes the following steps as shown in fig. 4:
step 410: and collecting the operation data of each cell.
Step 420: and determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data.
Step 430: and determining the cell with the average activation user number larger than the first threshold value and/or the wireless utilization ratio larger than the second threshold value as a high-load cell.
Step 440: and determining the same coverage cell of the high-load cell.
The specific description of steps 410 to 440 refer to steps 110 to 130 in the first embodiment, and are not repeated here.
Step 450: a first difference between the average number of active users in each of the same coverage cells and a first threshold is calculated, and a second difference between the wireless utilization of each of the same coverage cells and a second threshold is calculated.
Step 460: the minimum value of the first difference value and the minimum value of the second difference value are obtained.
The minimum value of the first difference value and the minimum value of the second difference value are used as decision threshold values for carrying out load balancing on the high-load cell.
Step 470: and respectively updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value.
And respectively updating a first threshold value used for representing the average activation user number threshold value of the high-load cell and a second threshold value used for representing the wireless utilization rate threshold value of the high-load cell to be the minimum value of the first difference value and the minimum value of the second difference value so as to facilitate the load balancing of the high-load cell.
Step 480: and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of the activated users of the high-load cell.
When the load evaluation index is the wireless utilization rate, the user to be balanced cannot be determined, and therefore, in this case, it is not necessary to set the number of users to be balanced. When the load evaluation index is the average number of activated users, the number of users to be balanced in the high-load cell=h-k+l, where h represents the average number of activated users in the high-load cell, k represents the updated first threshold value, L represents redundancy of accommodating loads in the high-load cell, for example, in the high-load cell, the number of loads that can be accommodated is 10, and when the redundancy is set to 2, load balancing is performed when the number of loads in the high-load cell reaches 8.
Step 490: and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
According to the embodiment of the invention, the load balancing strategy of the active state load in the high-load cell is generated by calculating the switching parameters of the high-load cell, so that the balancing of the active state load in the high-load cell is realized.
Fig. 5 shows a functional block diagram of a load balancing apparatus according to a fifth embodiment of the present invention. As shown in fig. 5, the apparatus includes: the system comprises an acquisition module 510, a first determination module 520, a second determination module 530, a generation module 540 and a transmission module 550. The acquisition module 510 is configured to acquire operation data of each cell. The first determining module 520 is configured to determine a high load cell according to the operation data. The second determining module 530 is configured to determine the same coverage cell of the high load cell. The generating module 540 is configured to generate a corresponding load balancing policy according to a load type of the load to be balanced in the high-load cell. The sending module 550 is configured to send the load balancing policy to the high-load cell, so that the high-load cell and the same coverage cell perform load balancing.
In an alternative manner, the first determining module 520 is further configured to: determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average activation user number larger than a first threshold value and/or the wireless utilization rate larger than a second threshold value as a high-load cell.
In an alternative manner, the second determining module 530 is further configured to: respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window; determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency; determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement; and taking the same-frequency same-coverage cell and the different-frequency same-coverage cell as the same-coverage cell of the high-load cell.
In an optional manner, according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points measured in the same frequency, determining the same-frequency and same-coverage cell of the high-load cell includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the same-frequency measurement is larger than a third threshold value, determining the adjacent cell as the same-frequency same-coverage cell of the high-load cell.
In an optional manner, determining the inter-frequency co-coverage cell of the high-load cell according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points of the inter-frequency measurement includes: and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the inter-frequency measurement is larger than a fourth threshold value, determining the adjacent cell as the same-frequency and same-coverage cell of the high-load cell.
In an optional manner, the load of the high load cell includes an idle state load, the co-coverage cell is a co-frequency co-coverage cell, a load type of the load to be balanced in the high load cell is an idle state load, and the generating module 540 is further configured to: the same frequency and coverage cells are subjected to descending order according to the proportion of the number of sampling points of the cells to the total number of sampling points measured by the same frequency, so as to obtain a same frequency neighbor cell table; acquiring the average activation user number and wireless utilization rate of each cell in the same-frequency neighbor cell table; sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list, wherein N is a natural number larger than 0; generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table; and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
In an optional manner, the same coverage cell is a different frequency same coverage cell, a load type of the load to be balanced in the high load cell is an idle load, and the generating module 540 is further configured to: determining the most frequent cells among K cells closest to the high-load cell in the different-frequency same-coverage cells, wherein K is a natural number greater than 0; determining the reselection priority of the cell according to the frequency corresponding to the cell with the most identical frequency; and when the reselection priority of the high-load cell is higher than the reselection priority of the cell, adjusting the reselection priority of the high-load cell to be the reselection priority of the cell.
In an alternative manner, the load type of the load to be balanced in the high load cell is an active load, and the generating module 540 is further configured to: calculating a first difference between the average number of activated users and the first threshold, and a second difference between the wireless utilization rate and the second threshold; acquiring the minimum value of the first difference value and the minimum value of the second difference value; updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value respectively; and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of users to be activated of the high-load cell.
Embodiments of the present invention provide a non-volatile computer storage medium having stored thereon at least one executable instruction that may perform a load balancing method according to any of the method embodiments described above.
Embodiments of the present invention provide a computer program product comprising a computer program stored on a computer storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform a load balancing method according to any of the method embodiments described above.
FIG. 6 is a schematic diagram of a computing device according to a sixth embodiment of the present invention, and the embodiment of the present invention is not limited to the specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor 602, a communication interface (Communications Interface), a memory 606, and a communication bus 608.
Wherein: processor 602, communication interface 604, and memory 606 perform communication with each other via communication bus 608. Communication interface 604 is used to communicate with network elements of other devices, such as clients or other servers. The processor 602 is configured to execute the program 610, and may specifically perform relevant steps in one embodiment of the load balancing method described above.
In particular, program 610 may include program code including computer-operating instructions.
The processor 602 may be a central processing unit CPU or a specific integrated circuit ASIC (Application Specific Integrated Circuit) or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 606 for storing a program 610. The memory 606 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may be specifically operable to cause the processor 602 to:
collecting operation data of each cell;
determining a high-load cell according to the operation data;
determining the same coverage cell of the high-load cell;
generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell;
and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
In an alternative, the program 610 causes the processor 602 to:
determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data;
and determining the cell with the average activation user number larger than a first threshold value and/or the wireless utilization rate larger than a second threshold value as a high-load cell.
In an alternative, the program 610 causes the processor 602 to:
respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window;
Determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency;
determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement;
and taking the same-frequency same-coverage cell and the different-frequency same-coverage cell as the same-coverage cell of the high-load cell.
In an alternative, the program 610 causes the processor 602 to:
and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the same-frequency measurement is larger than a third threshold value, determining the adjacent cell as the same-frequency same-coverage cell of the high-load cell.
In an alternative, the program 610 causes the processor 602 to:
and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the inter-frequency measurement is larger than a fourth threshold value, determining the adjacent cell as the same-frequency and same-coverage cell of the high-load cell.
In an alternative, the program 610 causes the processor 602 to:
the same frequency and coverage cells are subjected to descending order according to the proportion of the number of sampling points of the cells to the total number of sampling points measured by the same frequency, so as to obtain a same frequency neighbor cell table;
Acquiring the average activation user number and wireless utilization rate of each cell in the same-frequency neighbor cell table;
sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list, wherein N is a natural number larger than 0;
generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table;
and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
In an alternative, the program 610 causes the processor 602 to:
determining the most frequent cells among K cells closest to the high-load cell in the different-frequency same-coverage cells, wherein K is a natural number greater than 0;
determining the reselection priority of the cell according to the frequency corresponding to the cell with the most identical frequency;
and when the reselection priority of the high-load cell is higher than the reselection priority of the cell, adjusting the reselection priority of the high-load cell to be the reselection priority of the cell.
In an alternative, the program 610 causes the processor 602 to:
calculating a first difference between the average number of activated users and the first threshold, and a second difference between the wireless utilization rate and the second threshold;
acquiring the minimum value of the first difference value and the minimum value of the second difference value;
updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value respectively;
and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of users to be activated of the high-load cell.
According to the embodiment of the invention, the high-load cell is determined according to the collected operation data of each cell, and the same coverage cell of the high-load cell is determined, so that a quantitative analysis index is provided for the determination of the high-load cell and the same coverage cell of the high-load cell; according to the load type of the load to be balanced in the high-load cell, a corresponding load balancing strategy is generated, and the strategy is sent to the high-load cell, so that high-efficiency load balancing is realized.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (10)
1. A method of load balancing, the method comprising:
collecting operation data of each cell;
determining a high-load cell according to the operation data and a preset time granularity;
And determining the same coverage cell of the high-load cell according to the preset time granularity, wherein the method comprises the following steps: respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window; determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency; determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement; the same-frequency same-coverage cell and the different-frequency same-coverage cell are used as same-coverage cells of the high-load cell;
according to the load type of the load to be balanced in the high-load cell, generating a corresponding load balancing strategy, which comprises the following steps: if the same coverage cell is the same-frequency same coverage cell and the load type is an idle load, determining a reselection bias parameter of the same-frequency coverage cell; adjusting the reselection bias parameter less than a preset parameter value to the preset parameter value;
if the same coverage cell is a different frequency same coverage cell and the load type is an idle load, determining the reselection priority of the different frequency same coverage cell; when the reselection priority of the high-load cell is higher than that of the different-frequency same-coverage cell, the reselection priority of the high-load cell is adjusted to be that of the different-frequency same-coverage cell;
If the load type is an active load, determining the number of users to be balanced in the high-load cell according to the average number of users to be activated in the same coverage cell and the average number of users to be activated in the high-load cell;
and sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
2. The method of claim 1, wherein said determining a high load cell from said operational data comprises:
determining the average activation user number of the cell and the wireless utilization rate of the cell according to the operation data;
and determining the cell with the average activation user number larger than a first threshold value and/or the wireless utilization rate larger than a second threshold value as a high-load cell.
3. The method according to claim 1, wherein the determining the same-frequency and same-coverage cell of the high-load cell according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points measured by the same-frequency includes:
and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the same-frequency measurement is larger than a third threshold value, determining the adjacent cell as the same-frequency same-coverage cell of the high-load cell.
4. The method according to claim 1, wherein the determining the inter-frequency co-coverage cell of the high load cell according to the proportion of the number of sampling points of each neighboring cell in the total number of sampling points measured by the inter-frequency includes:
and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points of the inter-frequency measurement is larger than a fourth threshold value, determining the adjacent cell as the same-frequency and same-coverage cell of the high-load cell.
5. The method according to any one of claims 3-4, wherein the co-coverage cell is a co-frequency co-coverage cell, the load type of the load to be balanced in the high load cell is an idle load, and the generating a corresponding load balancing policy according to the load type of the load to be balanced in the high load cell includes:
the same frequency and coverage cells are subjected to descending order according to the proportion of the number of sampling points of the cells to the total number of sampling points measured by the same frequency, so as to obtain a same frequency neighbor cell table;
acquiring the average activation user number and wireless utilization rate of each cell in the same-frequency neighbor cell table;
sequentially selecting cells with the first N average activation user numbers smaller than or equal to a fifth threshold value and/or with the wireless utilization rate smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor cell list, and generating a new same-frequency neighbor cell list, wherein N is a natural number larger than 0;
Generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor cell table;
and adjusting the reselection bias parameter smaller than the preset parameter value to the preset parameter value.
6. The method according to any one of claims 3-4, wherein the same coverage cell is a different frequency same coverage cell, a load type of a load to be balanced in the high load cell is an idle load, and the generating a corresponding load balancing policy according to the load type of the load to be balanced in the high load cell includes:
determining the most frequent cells among K cells closest to the high-load cell in the different-frequency same-coverage cells, wherein K is a natural number greater than 0;
determining the reselection priority of the cell according to the frequency corresponding to the cell with the most identical frequency;
and when the reselection priority of the high-load cell is higher than the reselection priority of the cell, adjusting the reselection priority of the high-load cell to be the reselection priority of the cell.
7. The method according to claim 2, wherein the load type of the load to be balanced in the high load cell is an active load, and the generating a corresponding load balancing policy according to the load type of the load to be balanced in the high load cell includes:
Calculating a first difference value between the average activation user number of each cell in the same coverage cells and the first threshold value, and a second difference value between the wireless utilization rate of each cell in the same coverage cells and the second threshold value;
acquiring the minimum value of the first difference value and the minimum value of the second difference value;
updating the first threshold value and the second threshold value to be the minimum value of the first difference value and the minimum value of the second difference value respectively;
and determining the number of users to be balanced of the high-load cell according to the updated first threshold and the average number of users to be activated of the high-load cell.
8. A load balancing apparatus, the apparatus comprising:
the acquisition module is used for acquiring the operation data of each cell;
the first determining module is used for determining a high-load cell according to the operation data and the preset time granularity;
a second determining module, configured to determine, according to the preset time granularity, a co-coverage cell of the high load cell, where the second determining module includes: respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by different frequencies of the high-load cell in a preset time window; determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points measured by the same frequency; determining different-frequency same-coverage cells of the high-load cell according to the proportion of the number of sampling points of each adjacent cell in the total number of sampling points of the different-frequency measurement; the same-frequency same-coverage cell and the different-frequency same-coverage cell are used as same-coverage cells of the high-load cell;
The generating module is used for generating a corresponding load balancing strategy according to the load type of the load to be balanced in the high-load cell, and comprises the following steps: if the same coverage cell is the same-frequency same coverage cell and the load type is an idle load, determining a reselection bias parameter of the same-frequency coverage cell; adjusting the reselection bias parameter less than a preset parameter value to the preset parameter value;
if the same coverage cell is a different frequency same coverage cell and the load type is an idle load, determining the reselection priority of the different frequency same coverage cell; when the reselection priority of the high-load cell is higher than that of the different-frequency same-coverage cell, the reselection priority of the high-load cell is adjusted to be that of the different-frequency same-coverage cell;
if the load type is an active load, determining the number of users to be balanced in the high-load cell according to the average number of users to be activated in the same coverage cell and the average number of users to be activated in the high-load cell;
and the sending module is used for sending the load balancing strategy to the high-load cell so as to lead the high-load cell to carry out load balancing with the same coverage cell.
9. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to hold at least one executable instruction that causes the processor to perform a load balancing method according to any one of claims 1-7.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform a load balancing method as claimed in any one of claims 1 to 7.
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| LTE网络高负荷小区优化与应急保障研究;朱子清;《信息科技辑》;20190215;全文 * |
| R2-1803409 "CE-based access barring and load balancing for idle mode UEs for eFeMTC";Kyocera;《3GPP TSG-RAN WG2 #101 R2-1803409》;20180216;全文 * |
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