CN112020098A - Load balancing method and device, computing equipment and computer storage medium - Google Patents
Load balancing method and device, computing equipment and computer storage medium Download PDFInfo
- Publication number
- CN112020098A CN112020098A CN201910461649.6A CN201910461649A CN112020098A CN 112020098 A CN112020098 A CN 112020098A CN 201910461649 A CN201910461649 A CN 201910461649A CN 112020098 A CN112020098 A CN 112020098A
- Authority
- CN
- China
- Prior art keywords
- cell
- load
- same
- frequency
- coverage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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 a 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 balance the load of the high-load cell and the same coverage cell. Through the mode, the embodiment of the invention realizes the purpose of balancing the load of the high-load cell to the cell with the same coverage.
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, computing equipment and a computer storage medium.
Background
The purpose of LTE load balancing is to evenly distribute cell loads among cells, or to transfer part of the 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 operators manually analyze the cell load, and balance the load of a high-load cell to some peripheral low-load cells by manually adjusting load balancing parameters. The determination of the high load cells is only based on the experience of the operator, the determination of the low load cells receiving the load is also only dependent on the fixed orientation between the cells, and the indexes of the high load cells and the surrounding cells with the same coverage area are not quantitatively analyzed, so the scheme has randomness and inaccuracy. In addition, the existing load balancing method is the traditional manual analysis and manual processing, and the method causes low load balancing efficiency and cannot cope with load changes.
Disclosure of Invention
In view of the above problems, 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 above problems.
According to an aspect of an embodiment of the present invention, there is provided a load balancing method, including:
collecting operation data of each cell;
determining a high-load cell according to the operation data;
determining a 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 balance the load of the high-load cell and the same coverage cell.
In an optional manner, determining a high-load cell according to the operation data includes: determining the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average number of the activated users larger than a first threshold value and/or the cell with the wireless utilization rate larger than a second threshold value as a high-load cell.
In an alternative mode, determining a co-coverage cell of the high load cell includes: respectively calculating the total number of sampling points measured at the same frequency and the total number of sampling points measured at different frequencies in the high-load cell in a preset time window; determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency; determining the pilot frequency same coverage cell of the high load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the pilot frequency; 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, 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 greater than a third threshold value, determining that the adjacent cell is 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 a ratio of the number of sampling points of each neighboring cell to 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 measured by the pilot frequency is greater than a fourth threshold value, determining that the adjacent cell is a same-frequency same-coverage cell of the high-load cell.
In an optional manner, the same-coverage cell is a same-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 policy according to the load type to be balanced in the high-load cell includes: performing descending order arrangement on all cells in the same-frequency same-coverage cell according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list; acquiring the average number of activated users and the wireless utilization rate of each cell in the same-frequency neighbor cell list; sequentially selecting the first N cells of which the average number of activated users is smaller than or equal to a fifth threshold value and/or the wireless utilization rate is smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area 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 list; and adjusting the reselection bias parameters smaller than the preset parameter value to the preset parameter value.
In an optional manner, the same coverage cell is an inter-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 policy according to the load type to be balanced in the high-load cell includes: determining the frequency of a cell with the most same frequency in K cells which are closest to the high-load cell in the pilot frequency same-coverage cells, wherein K is a natural number greater than 0; determining reselection priority of the frequency according to the frequency corresponding to the cell with the highest 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 the reselection priority of the cell.
In an optional manner, the load of the high-load cell includes an active load, and a corresponding load balancing policy is generated according to a load type of a load to be balanced in the high-load cell, including: 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 and the second threshold to be a minimum of the first difference and a minimum of the second difference, respectively; and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in the high-load cell.
According to another aspect of the embodiments 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 the operation data of each cell; the first determining module is used for determining a high-load cell by the operation data; the second determining module is used for determining the same coverage cell 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; the sending module is configured to send the load balancing policy to the high-load cell, so that the high-load cell and the co-coverage cell perform load balancing.
In an optional manner, the first determining module is further configured to: determining the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average number of the activated users larger than a first threshold value and/or the cell with the wireless utilization rate larger than a second threshold value as a high-load cell.
In an optional manner, the second determining module is further configured to: respectively calculating the total number of sampling points measured at the same frequency and the total number of sampling points measured at different frequencies in the high-load cell in a preset time window; determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency; determining the pilot frequency same coverage cell of the high load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the pilot frequency; 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, 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 greater than a third threshold value, determining that the adjacent cell is 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 a ratio of the number of sampling points of each neighboring cell to 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 measured by the pilot frequency is greater than a fourth threshold value, determining that the adjacent cell is a same-frequency same-coverage cell of the high-load cell.
In a selectable mode, the load of the high-load cell includes an idle-state load, the same-coverage cell is a same-frequency same-coverage cell, and the load type of the load to be balanced in the high-load cell is an idle-state load, where the generating module is further configured to include: performing descending order arrangement on all cells in the same-frequency same-coverage cell according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list; acquiring the average number of activated users and the wireless utilization rate of each cell in the same-frequency neighbor cell list; sequentially selecting the first N cells of which the average number of activated users is smaller than or equal to a fifth threshold value and/or the wireless utilization rate is smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area 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 list; and adjusting the reselection bias parameters smaller than the preset parameter value to the preset parameter value.
In a selectable mode, the same coverage cell is an inter-frequency same coverage cell, the 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 a cell with the most same frequency in K cells which are closest to the high-load cell in the pilot 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 highest 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 the reselection priority of the cell.
In an optional 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 and the second threshold to be a minimum of the first difference and a minimum of the second difference, respectively; and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in the high-load cell.
According to another aspect of embodiments of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication 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 another aspect of the embodiments of the present invention, a computer storage medium is provided, where at least one executable instruction is stored, and the executable instruction causes a processor to perform an operation corresponding to one of the load balancing methods described above.
The method and the device determine the high-load cell according to the collected operation data of each cell and determine the same coverage cell of the high-load cell, thereby providing quantitative analysis indexes for the determination of the high-load cell and the same coverage cell of the high-load cell; and 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 strategy to the high-load cell, thereby realizing high-efficiency load balancing.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
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 refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a load balancing method according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a load balancing method according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a load balancing method according to a third embodiment of the present invention;
fig. 4 is a flowchart illustrating 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 invention are shown in the drawings, it should be understood that the invention can 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 flowchart of a load balancing method according to a first embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 110: and collecting the operation data of each cell.
The operational data of the cell includes performance data, measurement reports and network configuration parameters of the cell. The performance data of the network element is equivalent to a network index, and is used for representing the operation condition of the network, including load parameters of the access cell, such as a wireless utilization rate, the number of access users, and the like. The measurement report is a network signal measurement statistical file of the cell and is used for measuring the quality of the wireless network, and the measurement report is continuously reported to the load balancing system when a user carries out service. The measurement report may reflect the coverage of the cell and the correlation between the cell and the neighboring cells. The network configuration parameters are network configuration parameters of the cell, and are used for controlling various wireless functions such as switching, reselection, load balancing and the like.
In this step, the main body of parameter acquisition is an intelligent equalization optimization system, which is used for automatically acquiring cell operation data in real time. The intelligent balance optimization system is related to wireless communication standards of a load end and a data segment, 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 used for optimizing LTE communication equipment. The following describes an LTE intelligent equalization optimization system as an example.
Step 120: and determining the high-load cell according to the operation data.
The measuring 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 a main LTE communication equipment supplier, the LTE intelligent balancing optimization system selects the average number of activated users and the wireless utilization rate of the cell as the screening judgment basis of the high-load cell. The average number of activated users and the wireless utilization rate of the cell are selected according to specific equipment manufacturers, for example, for equipment of manufacturers such as Huashi and Zhongxing, the average number of activated users is selected as a high load judgment index, and for equipment produced by Nokia, the wireless utilization rate of the cell is selected as a high load judgment index.
The LTE intelligent balance optimization system determines the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data. And determining the cell with the average number of the activated users larger than the first threshold value and/or the cell with the wireless utilization rate larger than the second threshold value as a high-load cell. The first threshold is a threshold of the average number of activated users in the cell, and the second threshold is a threshold of the wireless utilization rate of the cell.
In consideration of the variability of cell load, when determining a high-load cell, each index is counted for a certain period of time. For example, the average number of active users and radio utilization rate in the last 15 minutes are used as the cell determination index.
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. Because the measurement report can reflect the coverage condition of the cell and the correlation condition between the cell and the neighboring cell, the determination of the cell with the coverage mainly depends on the measurement report of the high-load cell collected by the LLTE intelligent balance optimization system.
The same-coverage cells of the high-load cell comprise a same-frequency same-coverage cell and a different-frequency same-coverage cell, and in some embodiments, the determination of the same-coverage cell is realized by performing same-frequency sampling and different-frequency sampling in the high-load cell in consideration of the same coverage of the high-load cell and the same-coverage cell thereof. In consideration of the load variability, when sampling, the high-load cell is sampled within a preset time window, wherein the preset time window represents a period of time closest to the current sampling time, for example, the high-load cell of the last 15 minutes is sampled.
And respectively calculating the total number of sampling points measured by the same frequency and the total number of sampling points measured by 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 the sampling points of each adjacent cell in the total number of the sampling points measured by the same frequency. Namely, when the proportion of the number of the sampling points of the neighboring cell to the total number of the sampling points measured at the same frequency is greater than the third threshold value, the neighboring cell is determined to be the same-frequency same-coverage cell of the high-load cell. The third threshold is a value that is manually set by a person skilled in the art in the process of implementing the embodiment of the present invention. And determining the pilot frequency same coverage cell of the high-load cell according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured by the pilot frequency. Namely, when the proportion of the number of the sampling points of the neighboring cell to the total number of the sampling points measured by the pilot frequency is greater than the fourth threshold, the neighboring cell is determined to be the pilot frequency co-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 loads to be balanced in the high-load cell comprise an idle-state load and an 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 a corresponding load balancing strategy is generated for the load types to be balanced in the high-load cell and the balancing parameters of the same coverage cell.
Step 150: and sending the load balancing strategy to the high-load cell so as to balance the load of the high-load cell and the load of the same coverage cell.
The LTE intelligent balance optimizing system sends the load balancing policy generated in step 140 to the high load cell, the high load cell adjusts the corresponding balancing parameters according to the load balancing policy, and after the balancing parameters are adjusted, part of the load in the high load cell migrates from the high load cell and connects to the same coverage cell.
The embodiment of the invention determines the high-load cell according to the collected operation data of each cell and determines the same coverage cell of the high-load cell, thereby providing quantitative analysis indexes 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. And 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 strategy to the high-load cell, thereby realizing high-efficiency load balancing.
Fig. 2 shows a flowchart of a load balancing method according to a second embodiment of the present invention, in this embodiment, a same-frequency same-coverage cell is a same-frequency same-coverage cell, and a load type of a load to be balanced in a high-load cell is an idle load, where this embodiment includes the following steps shown in fig. 2:
step 210: and collecting the operation data of each cell.
Step 220: and determining the high-load cell according to the operation data.
Step 230: and calculating the total number of sampling points measured at the same frequency in the high-load cell in a preset time window.
Step 240: and determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency.
For detailed descriptions of step 210 to step 240, refer to step 110 to step 230 in the first embodiment, which are not described herein again.
Step 250: and for all cells in the same coverage cell, performing descending arrangement according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list.
The more 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 cell is, and the easier the load in the high-load cell is balanced to the cell covered by the cell when the load is balanced.
Step 260: and sequentially selecting the cells of which the number of the former N average activated users is less than or equal to a fifth threshold value and/or the wireless utilization rate is less than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area list.
In this step, the fifth threshold and the sixth threshold are used to indicate a load threshold of the neighboring cell, that is, the average number of activated users is less than or equal to the fifth threshold, and/or the cell with the wireless utilization rate less than or equal to the sixth threshold considers that the threshold of the cell is not reached, and on the premise of ensuring the communication quality of the cell, more loads can be received. Wherein N is a natural number greater than 0, and the selection of N is related to the number of loads to be balanced in the high-load cell. For example, if the load to be balanced is small in a high-load cell and only one same-frequency same-coverage cell is selected to accommodate the load, the value of N is set to 1. In a 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 value of N is not limited in the present invention.
The new same-frequency adjacent area list only contains the same-frequency same-coverage cells which can contain the load.
Step 270: and generating reselection bias parameters of the high-load cell and each cell in the new same-frequency neighbor list.
The reselection bias parameter is used to indicate the difficulty of performing a load handover 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 same-coverage cell.
Step 280: and adjusting the reselection bias parameters 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 same-coverage cell, and the value is a natural number greater than 0. When the reselection offset parameter between the high-load cell and a certain same-frequency same-coverage cell is smaller than a preset parameter value, the reselection offset parameter between the high-load cell and the same-frequency same-coverage cell is adjusted to the preset parameter value, so that the load balance between the high-load cell and the same-frequency same-coverage cell is realized. In a specific embodiment, if the preset parameter value is 4, when performing reselection bias parameter adjustment, all reselection bias parameters between the high-load cells and the high-load cells, where the reselection bias parameter is lower than 4, are adjusted to be 4.
Step 290: and sending the load balancing strategy to the high-load cell so as to balance the load of the high-load cell and the same-frequency same-coverage cell.
And sending the load balancing strategy 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 strategy, and the idle load is balanced to the same-frequency same-coverage cell.
The embodiment of the invention realizes load balancing by adjusting the reselection bias parameters between the high-load cell and the same-frequency same-coverage cell, thereby realizing balancing the idle-state load of the high-load cell to the same-frequency same-coverage cell.
Fig. 3 shows a flowchart 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 a load type of a load to be balanced in a high-load cell is an idle load, where this embodiment includes the following steps shown in fig. 3:
step 310: and collecting the operation data of each cell.
Step 320: and determining the 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 the pilot frequency same coverage cell of the high-load cell according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured by the pilot frequency.
For detailed descriptions of step 310 to step 340, refer to step 110 to step 230 in the first embodiment, which are not described herein again.
Step 350: and determining the cells with the most same frequency in K cells which are closest to the high-load cell in the pilot frequency same-coverage cells.
In the step, K is a natural number larger than 0, K neighbor algorithm is adopted by K cells closest to the high load cell in the pilot frequency same coverage cells, the algorithm is a machine learning algorithm, and K pilot frequency same coverage cells closest to the high load cell are determined according to the distance between each pilot frequency same frequency cell and the high load cell.
In K different frequency same coverage cells, each cell has a corresponding frequency, and when carrying out load switching, the cell with 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 frequency.
The reselection priority of the cell is related to the frequency of the cell, for example, in LTE, the reselection priority of the cell in the F band is 5, and the reselection priority of the cell in the D band is 7. The higher the reselection priority of the cell, the less easily load balancing is achieved.
Step 370: and when the reselection priority of the high-load cell is higher than that of the cell, adjusting the reselection priority of the high-load cell to the reselection priority of the cell.
In order to balance the load of the high-load cell to the pilot frequency same-coverage cell, the reselection priority of the high-load cell is adjusted to the reselection priority of the pilot 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 balance the load of the high-load cell and the pilot frequency same-coverage cell.
The embodiment of the invention realizes load balancing by adjusting the reselection priority between the high-load cell and the same-frequency same-coverage cell, thereby realizing balancing the idle-state load of the high-load cell 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, where in the embodiment of the present invention, 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 number of activated users 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 number of the activated users larger than the first threshold value and/or the cell with the wireless utilization rate larger than the second threshold value as a high-load cell.
Step 440: and determining the same coverage cell of the high-load cell.
For detailed descriptions of step 410 to step 440, refer to step 110 to step 130 in the first embodiment, which are not described herein again.
Step 450: and calculating a first difference value between the average number of activated users of each cell in the same coverage cell and a first threshold value, and a second difference value between the wireless utilization rate of each cell in the same coverage cell and a second threshold value.
Step 460: and acquiring the minimum value of the first difference value and the minimum value of the second difference value.
And the minimum value of the first difference value and the minimum value of the second difference value are used as a judgment threshold value for carrying out load balancing in the high-load cell.
Step 470: the first threshold value and the second threshold value are updated to be the minimum value of the first difference value and the minimum value of the second difference value, respectively.
And respectively updating a first threshold used for expressing the threshold of the average number of activated users of the high-load cell and a second threshold used for expressing the threshold of the wireless utilization rate of the high-load cell into the minimum value of the first difference and the minimum value of the second difference so as to facilitate the load balance of the high-load cell.
Step 480: and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in 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, the number of the user to be balanced does not need to be set. When the load evaluation index is the average number of active users, the number of users to be balanced in the high load cell is h-k + L, where h represents the average number of active users in the high load cell, k represents the updated first threshold, and L represents redundancy for 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 the redundancy is set to 2, then when the number of loads in the high load cell reaches 8, load balancing is performed.
Step 490: and sending the load balancing strategy to the high-load cell so as to balance the load of the high-load cell and the load of the same coverage cell.
The embodiment of the invention generates the load balancing strategy of the activated state load in the high-load cell by calculating the switching parameter of the high-load cell, thereby realizing the balance of the activated state load in the high-load cell.
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: an acquisition module 510, a first determination module 520, a second determination module 530, a generation module 540, and a transmission module 550. The collecting module 510 is configured to collect 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 used for determining a co-coverage cell of the high load cell. The generating module 540 is configured to generate a corresponding load balancing policy according to the 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 co-coverage cell perform load balancing.
In an optional manner, the first determining module 520 is further configured to: determining the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data; and determining the cell with the average number of the activated users larger than a first threshold value and/or the cell with the wireless utilization rate larger than a second threshold value as a high-load cell.
In an optional manner, the second determining module 530 is further configured to: respectively calculating the total number of sampling points measured at the same frequency and the total number of sampling points measured at different frequencies in the high-load cell in a preset time window; determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency; determining the pilot frequency same coverage cell of the high load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the pilot frequency; 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, 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 greater than a third threshold value, determining that the adjacent cell is 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 a ratio of the number of sampling points of each neighboring cell to 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 measured by the pilot frequency is greater than a fourth threshold value, determining that the adjacent cell is a same-frequency 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 same-coverage cell is a same-frequency same-coverage cell, and a load type of a load to be balanced in the high-load cell is an idle-state load, where the generating module 540 is further configured to include: performing descending order arrangement on all cells in the same-frequency same-coverage cell according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list; acquiring the average number of activated users and the wireless utilization rate of each cell in the same-frequency neighbor cell list; sequentially selecting the first N cells of which the average number of activated users is smaller than or equal to a fifth threshold value and/or the wireless utilization rate is smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area 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 list; and adjusting the reselection bias parameters smaller than the preset parameter value to the preset parameter value.
In an optional manner, the same coverage cell is an inter-frequency same coverage cell, and a load type of a load to be balanced in the high-load cell is an idle load, and the generating module 540 is further configured to: determining a cell with the most same frequency in K cells which are closest to the high-load cell in the pilot 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 highest 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 the reselection priority of the cell.
In an optional 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 and the second threshold to be a minimum of the first difference and a minimum of the second difference, respectively; and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in the high-load cell.
An embodiment of the present invention provides a non-volatile computer storage medium, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction may execute a load balancing method in any of the above method embodiments.
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 that, when executed by a computer, cause the computer to perform a method of load balancing in any of the above-mentioned method embodiments.
Fig. 6 is a schematic structural diagram of a computing device according to a sixth embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor (processor)602, a communication Interface 604, a memory 606, and a communication bus 608.
Wherein: the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608. A communication interface 604 for communicating 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 comprising computer operating instructions.
The processor 602 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may specifically be configured to cause the processor 602 to perform the following operations:
collecting operation data of each cell;
determining a high-load cell according to the operation data;
determining a 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 balance the load of the high-load cell and the same coverage cell.
In an alternative, the program 610 causes the processor 602 to:
determining the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data;
and determining the cell with the average number of the activated users larger than a first threshold value and/or the cell with 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 at the same frequency and the total number of sampling points measured at different frequencies in the high-load cell in a preset time window;
determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency;
determining the pilot frequency same coverage cell of the high load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the pilot frequency;
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 greater than a third threshold value, determining that the adjacent cell is 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 measured by the pilot frequency is greater than a fourth threshold value, determining that the adjacent cell is a same-frequency same-coverage cell of the high-load cell.
In an alternative, the program 610 causes the processor 602 to:
performing descending order arrangement on all cells in the same-frequency same-coverage cell according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list;
acquiring the average number of activated users and the wireless utilization rate of each cell in the same-frequency neighbor cell list;
sequentially selecting the first N cells of which the average number of activated users is smaller than or equal to a fifth threshold value and/or the wireless utilization rate is smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area 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 list;
and adjusting the reselection bias parameters smaller than the preset parameter value to the preset parameter value.
In an alternative, the program 610 causes the processor 602 to:
determining a cell with the most same frequency in K cells which are closest to the high-load cell in the pilot 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 highest 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 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 and the second threshold to be a minimum of the first difference and a minimum of the second difference, respectively;
and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in the high-load cell.
The method and the device determine the high-load cell according to the collected operation data of each cell and determine the same coverage cell of the high-load cell, thereby providing quantitative analysis indexes for the determination of the high-load cell and the same coverage cell of the high-load cell; and 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 strategy to the high-load cell, thereby realizing high-efficiency load balancing.
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 constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, 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 foregoing 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 invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed 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 device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. 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. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements 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 included in other embodiments, rather than other features, 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 may 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 usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (11)
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;
determining a 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 balance the load of the high-load cell and the same coverage cell.
2. The method of claim 1, wherein determining the high load cell from the operational data comprises:
determining the average number of activated users of the cell and the wireless utilization rate of the cell according to the operation data;
and determining the cell with the average number of the activated users larger than a first threshold value and/or the cell with the wireless utilization rate larger than a second threshold value as a high-load cell.
3. The method of claim 1, wherein the determining the co-coverage cells of the high load cell comprises:
respectively calculating the total number of sampling points measured at the same frequency and the total number of sampling points measured at different frequencies in the high-load cell in a preset time window;
determining the same-frequency same-coverage cells of the high-load cells according to the proportion of the number of the sampling points of each adjacent cell in the total number of the sampling points measured at the same frequency;
determining the pilot frequency same coverage cell of the high load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the pilot frequency;
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.
4. The method according to claim 3, wherein the determining the same-frequency and same-coverage cells of the high-load cell according to the proportion of the number of the sampling points of each neighboring cell in the total number of the sampling points measured by the same frequency comprises:
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 greater than a third threshold value, determining that the adjacent cell is the same-frequency same-coverage cell of the high-load cell.
5. The method according to claim 3, 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 comprises:
and when the proportion of the number of the sampling points of the adjacent cell to the total number of the sampling points measured by the pilot frequency is greater than a fourth threshold value, determining that the adjacent cell is a same-frequency same-coverage cell of the high-load cell.
6. The method according to any one of claims 3 to 5, wherein the same-coverage cell is a same-frequency same-coverage cell, the load type of the load to be balanced in the high-load cell is an idle load, and the generating of the corresponding load balancing policy according to the load type of the load to be balanced in the high-load cell includes:
performing descending order arrangement on all cells in the same-frequency same-coverage cell according to the proportion of the number of the sampling points of the cells to the total number of the sampling points of the same-frequency measurement to obtain a same-frequency neighbor cell list;
acquiring the average number of activated users and the wireless utilization rate of each cell in the same-frequency neighbor cell list;
sequentially selecting the first N cells of which the average number of activated users is smaller than or equal to a fifth threshold value and/or the wireless utilization rate is smaller than or equal to a sixth threshold value according to the arrangement sequence of the same-frequency neighbor area list to generate a new same-frequency neighbor area 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 list;
and adjusting the reselection bias parameters smaller than the preset parameter value to the preset parameter value.
7. The method according to any one of claims 3 to 5, wherein the cells with the same coverage are cells with different frequencies and the same coverage, 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 comprises:
determining a cell with the most same frequency in K cells which are closest to the high-load cell in the pilot 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 highest 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 the reselection priority of the cell.
8. 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 comprises:
calculating a first difference value between the average number of activated users of each cell in the same coverage cell and the first threshold, and a second difference value between the wireless utilization rate of each cell in the same coverage cell 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 and the second threshold to be a minimum of the first difference and a minimum of the second difference, respectively;
and determining the number of users to be balanced in the high-load cell according to the updated first threshold and the average number of activated users in the high-load cell.
9. A load balancing apparatus, comprising:
the acquisition module is used for acquiring the operation data of each cell;
a first determining module, configured to determine a high-load cell according to the operation data;
a second determining module, configured to determine a co-coverage cell 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 the sending module is used for sending the load balancing strategy to the high-load cell so as to balance the load of the high-load cell and the same-coverage cell.
10. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform a method of load balancing as claimed in any one of claims 1 to 8.
11. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform a method of load balancing as claimed in any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910461649.6A CN112020098B (en) | 2019-05-30 | 2019-05-30 | Load balancing method, device, computing equipment and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910461649.6A CN112020098B (en) | 2019-05-30 | 2019-05-30 | Load balancing method, device, computing equipment and computer storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112020098A true CN112020098A (en) | 2020-12-01 |
| CN112020098B CN112020098B (en) | 2023-04-28 |
Family
ID=73501461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910461649.6A Active CN112020098B (en) | 2019-05-30 | 2019-05-30 | Load balancing method, device, computing equipment and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112020098B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112492658A (en) * | 2020-12-21 | 2021-03-12 | 苏州三六零智能安全科技有限公司 | User balancing method, device, storage medium and device |
| CN113133058A (en) * | 2021-04-07 | 2021-07-16 | ***通信集团陕西有限公司 | Load balancing method, device and system |
| CN114258081A (en) * | 2021-11-16 | 2022-03-29 | 中国联合网络通信集团有限公司 | Load balancing method and device for same-coverage cells, electronic equipment and storage medium |
| CN114401527A (en) * | 2021-12-21 | 2022-04-26 | 中国电信股份有限公司 | Load identification method and device of wireless network and storage medium |
| US20220338061A1 (en) * | 2019-11-26 | 2022-10-20 | Nanjing Howso Technology Co., Ltd. | Method for load imbalance optimization under same network coverage, apparatus, device, and storage medium |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101801030A (en) * | 2009-02-05 | 2010-08-11 | 大唐移动通信设备有限公司 | Method, device and system for realizing load balancing |
| CN103220688A (en) * | 2013-04-02 | 2013-07-24 | 西安交通大学 | Moving-load balancing method based on efficacy function in LTE (long term evolution) self-organized network |
| US20140004862A1 (en) * | 2011-03-15 | 2014-01-02 | Telefonaktiebolaget L M Ericsson (Publ) | Method and Node Supporting Cell Reselection in Load Balanced Network |
| CN105472660A (en) * | 2014-09-11 | 2016-04-06 | ***通信集团公司 | Load balancing method and system and network equipment |
| CN105554818A (en) * | 2015-12-21 | 2016-05-04 | 中国联合网络通信集团有限公司 | Load equalizing method and device |
| CN106714239A (en) * | 2016-12-14 | 2017-05-24 | 北京拓明科技有限公司 | LTE network load automatic balancing method and system |
| CN106998573A (en) * | 2016-01-25 | 2017-08-01 | 电信科学技术研究院 | Load equalization method and device in a kind of carrier aggregation system |
| CN107371178A (en) * | 2017-08-28 | 2017-11-21 | 北京天元创新科技有限公司 | High load capacity cell optimization method and device |
| CN107659943A (en) * | 2016-07-26 | 2018-02-02 | 大唐移动通信设备有限公司 | A kind of load equalization method and device |
| US20180054749A1 (en) * | 2016-08-19 | 2018-02-22 | Sprint Spectrum Lp | Dynamic handover threshold adjustment for load balancing |
| CN108696901A (en) * | 2017-04-05 | 2018-10-23 | 中兴通讯股份有限公司 | A kind of load management method and device |
| CN108696904A (en) * | 2018-05-23 | 2018-10-23 | 南京欣网通信科技股份有限公司 | A kind of LTE automatic Loads sharing method and system, the information processing terminal |
| CN109151881A (en) * | 2018-11-16 | 2019-01-04 | 南京华苏科技有限公司 | A kind of network load balance optimizing method based on user data |
-
2019
- 2019-05-30 CN CN201910461649.6A patent/CN112020098B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101801030A (en) * | 2009-02-05 | 2010-08-11 | 大唐移动通信设备有限公司 | Method, device and system for realizing load balancing |
| US20140004862A1 (en) * | 2011-03-15 | 2014-01-02 | Telefonaktiebolaget L M Ericsson (Publ) | Method and Node Supporting Cell Reselection in Load Balanced Network |
| CN103220688A (en) * | 2013-04-02 | 2013-07-24 | 西安交通大学 | Moving-load balancing method based on efficacy function in LTE (long term evolution) self-organized network |
| CN105472660A (en) * | 2014-09-11 | 2016-04-06 | ***通信集团公司 | Load balancing method and system and network equipment |
| CN105554818A (en) * | 2015-12-21 | 2016-05-04 | 中国联合网络通信集团有限公司 | Load equalizing method and device |
| CN106998573A (en) * | 2016-01-25 | 2017-08-01 | 电信科学技术研究院 | Load equalization method and device in a kind of carrier aggregation system |
| CN107659943A (en) * | 2016-07-26 | 2018-02-02 | 大唐移动通信设备有限公司 | A kind of load equalization method and device |
| US20180054749A1 (en) * | 2016-08-19 | 2018-02-22 | Sprint Spectrum Lp | Dynamic handover threshold adjustment for load balancing |
| CN106714239A (en) * | 2016-12-14 | 2017-05-24 | 北京拓明科技有限公司 | LTE network load automatic balancing method and system |
| CN108696901A (en) * | 2017-04-05 | 2018-10-23 | 中兴通讯股份有限公司 | A kind of load management method and device |
| CN107371178A (en) * | 2017-08-28 | 2017-11-21 | 北京天元创新科技有限公司 | High load capacity cell optimization method and device |
| CN108696904A (en) * | 2018-05-23 | 2018-10-23 | 南京欣网通信科技股份有限公司 | A kind of LTE automatic Loads sharing method and system, the information processing terminal |
| CN109151881A (en) * | 2018-11-16 | 2019-01-04 | 南京华苏科技有限公司 | A kind of network load balance optimizing method based on user data |
Non-Patent Citations (2)
| Title |
|---|
| KYOCERA: "R2-1803409 "CE-based access barring and load balancing for idle mode UEs for eFeMTC"", 《3GPP TSG-RAN WG2 #101 R2-1803409》 * |
| 朱子清: "LTE网络高负荷小区优化与应急保障研究", 《信息科技辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220338061A1 (en) * | 2019-11-26 | 2022-10-20 | Nanjing Howso Technology Co., Ltd. | Method for load imbalance optimization under same network coverage, apparatus, device, and storage medium |
| US11889354B2 (en) * | 2019-11-26 | 2024-01-30 | Nanjing Howso Technology Co., Ltd. | Method for load imbalance optimization under same network coverage, apparatus, device, and storage medium |
| CN112492658A (en) * | 2020-12-21 | 2021-03-12 | 苏州三六零智能安全科技有限公司 | User balancing method, device, storage medium and device |
| CN112492658B (en) * | 2020-12-21 | 2023-02-17 | 苏州三六零智能安全科技有限公司 | User balancing method, device, storage medium and device |
| CN113133058A (en) * | 2021-04-07 | 2021-07-16 | ***通信集团陕西有限公司 | Load balancing method, device and system |
| CN114258081A (en) * | 2021-11-16 | 2022-03-29 | 中国联合网络通信集团有限公司 | Load balancing method and device for same-coverage cells, electronic equipment and storage medium |
| CN114258081B (en) * | 2021-11-16 | 2024-05-03 | 中国联合网络通信集团有限公司 | Load balancing method and device for same coverage cells, electronic equipment and storage medium |
| CN114401527A (en) * | 2021-12-21 | 2022-04-26 | 中国电信股份有限公司 | Load identification method and device of wireless network and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112020098B (en) | 2023-04-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112020098B (en) | Load balancing method, device, computing equipment and computer storage medium | |
| US20170222901A1 (en) | Network selection using current and historical measurements | |
| CN104335628B (en) | Wireless multi-site capacity is coordinated | |
| CN108990078A (en) | Optimization method, system, equipment and the storage medium of LTE network downlink interference | |
| CN111726833A (en) | Network load balancing method, device and storage medium | |
| CN104584622A (en) | Method and system for cellular network load balance | |
| CN109981744B (en) | Data distribution method and device, storage medium and electronic equipment | |
| CN108243435B (en) | Parameter optimization method and device in LTE cell scene division | |
| US11889354B2 (en) | Method for load imbalance optimization under same network coverage, apparatus, device, and storage medium | |
| CN104684091B (en) | Network architecture method of adjustment, device, network scheduling controller and base station | |
| CN106714189A (en) | Method and device for analyzing cell over coverage | |
| CN116225575B (en) | Task unloading method, device, equipment and medium for mobile edge calculation | |
| CN110649952A (en) | Antenna switching method and device, storage medium and electronic equipment | |
| CN103096380B (en) | Wireless access point load balancing load balancing | |
| CN112153679B (en) | Network switching method and device | |
| CN112437469B (en) | Quality of service guarantee method, apparatus and computer readable storage medium | |
| CN112637904B (en) | Load balancing method and device and computing equipment | |
| CN112203287B (en) | Cell capacity adjusting method, device, equipment and storage medium | |
| CN116739440B (en) | Method and device for evaluating intelligent network, electronic equipment and storage medium | |
| CN113015204B (en) | Network cell load balancing method and device | |
| Zhang et al. | A network selection optimization algorithm based on AHP and TOPSIS in heterogeneous network environment | |
| CN112689294B (en) | Carrier frequency power configuration method and device | |
| CN114630365B (en) | Method and device for detecting health state of cell | |
| CN113709752B (en) | Anchor point station setting method and device for 5G cell | |
| CN112637909B (en) | Intelligent configuration method and device of anchor point network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |