CN107872825B - Load balancing method and device, and base station - Google Patents
Load balancing method and device, and base station Download PDFInfo
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- CN107872825B CN107872825B CN201610848349.XA CN201610848349A CN107872825B CN 107872825 B CN107872825 B CN 107872825B CN 201610848349 A CN201610848349 A CN 201610848349A CN 107872825 B CN107872825 B CN 107872825B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- 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
Abstract
The embodiment of the invention provides a load balancing method, a device and a base station; the method comprises the following steps: detecting the utilization rate of a physical resource block of each user terminal in the current cell; determining a user use model according to the utilization rate of the physical resource blocks of each user terminal; determining a load balancing mode according to a user use model; and executing a load balancing mode. The invention realizes the judgment of the cell load model by counting the utilization rate of the physical resource blocks of each user terminal in the cell and determining the user use model according to the statistical result, and starts the load balancing triggering function of the corresponding mode on the basis, thereby achieving the purpose that the load balancing function is automatically started and the load sharing is optimized according to different service models.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a load balancing method and apparatus, and a base station.
Background
The load balance reasonably deploys the cell running flow according to the load states of the service cell and the adjacent cell thereof, and balances the load among cells, among frequencies and among other wireless access technologies in the system, thereby effectively using system resources to improve the user perception and the stability of the system. The load balancing function comprises two parts, namely a connection state Load Balancing (LB) part and a residence state load balancing (CLB) part, wherein the connection state load balancing is mainly executed by switching aiming at connection state users; the camping state load balancing is mainly performed by means of reselection (changing reselection priority) for the connected-state to idle-state users.
For connected state Load Balancing (LB), the prior art provides 2 balancing approaches: mode 1, setting a balance function starting threshold value of a cell according to the number of RRC users of the cell, and after the number of users rises to an execution threshold, the cell begins to share load to peripheral low-load cells, so that the peak load and the average load of a high-load cell are reduced; and 2, determining a starting threshold of the cell balancing function according to the PRB utilization rate of the cell, and when the PRB utilization rate of the cell exceeds the set threshold, starting the load balancing function to balance the UE of the cell to the surrounding cells with the same coverage, so as to play a role of load sharing between adjacent cells.
The two load balancing triggering modes are respectively long and short. According to the business type and the different coverage scenes of the user, the commercial network can differentially select the load balancing triggering mode to start the function. For example, there are two high load scenarios, i.e., a cell has a large number of users performing discontinuous packet service and a part of users performing high throughput streaming media or FTP service. The equalizing triggering according to the user number load is suitable for a first scenario, and the equalizing mode of PRB utilization rate triggering is suitable for a second scenario. Simply using one of the equalization function triggers in the network, it may happen that the load of the cell is already high but the equalization function cannot be triggered because the trigger is not.
The service modes of the network or the base station have variability, service models of the same cell in different time periods are different, and the diversity and variability of the network service models cannot be met by using a single balance function trigger mode.
Disclosure of Invention
The embodiment of the invention provides a load balancing method, a load balancing device and a base station, and aims to solve the problem that the existing base station works in a fixed load balancing mode.
In one aspect, a load balancing method is provided, including:
detecting the utilization rate of a physical resource block of each user terminal in the current cell;
determining a user usage model according to the utilization rate of the physical resource blocks of each user terminal, wherein the user usage model comprises a large number of users performing small packet services and a part of users performing high throughput services;
determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of a physical resource block of the cell;
and executing a load balancing mode.
In one aspect, a load balancing apparatus is provided, including: a detection module, a selection module and an execution module, wherein,
the detection module is used for detecting the utilization rate of the physical resource blocks of each user terminal in the current cell;
the selection module is used for determining a user usage model according to the physical resource block utilization rate of each user terminal, wherein the user usage model comprises a plurality of users performing small packet service and a part of users performing high throughput service; determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of a physical resource block of the cell;
the execution module is used for executing a load balancing mode.
In one aspect, a base station is provided, including: the device comprises a statistical module, a processor and a balancing module, wherein the statistical module is used for periodically detecting the utilization rate of a physical resource block of each user terminal in a current cell; the processor is used for determining a user use model according to the utilization rate of the physical resource blocks of each user terminal, wherein the user use model comprises a plurality of users carrying out small packet service and a plurality of users carrying out high throughput service; determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of a physical resource block of the cell; the balancing module is used for executing a load balancing mode and distributing the load to the low-load adjacent regions.
In another aspect, a computer storage medium is provided, in which computer-executable instructions are stored, and the computer-executable instructions are used for executing the foregoing load balancing method.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a load balancing method, which realizes the judgment of a cell load model by counting the utilization rate of physical resource blocks of each user terminal in a cell and determining a user use model according to a counting result, and starts a load balancing trigger function of a corresponding mode on the basis, thereby achieving the purpose that the load balancing function is automatically started and optimized for load sharing according to different service models, namely a base station can judge according to different load models in a commercial existing network and select the current optimal load balancing function for starting, thereby balancing the loads of a high-load cell and a peripheral same-coverage cell more efficiently, improving the network utilization rate and simultaneously improving the user experience.
Drawings
Fig. 1 is a flowchart of a load balancing method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a load balancing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a base station 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.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention will now be further explained by means of embodiments in conjunction with the accompanying drawings.
The first embodiment:
fig. 1 is a flowchart of a load balancing method according to a first embodiment of the present invention, and as can be seen from fig. 1, the load balancing method according to this embodiment includes:
s101: detecting the utilization rate of a physical resource block of each user terminal in the current cell;
s102: determining a user usage model according to the utilization rate of the physical resource blocks of each user terminal, wherein the user usage model comprises a large number of users performing small packet services and a part of users performing high throughput services;
s103: determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of a physical resource block of the cell;
s104: and executing a load balancing mode.
In some embodiments, the determining the load balancing manner according to the user usage model in the above embodiments includes:
when a user uses the model to perform the packet service for a large number of users, the load balancing mode sets a balancing function starting threshold value of the cell according to the number of connected state users of the cell;
when the user usage model is used for carrying out high throughput business for part of users, the load balancing mode is to set a balancing function starting threshold value of the cell according to the utilization rate of the physical resource blocks of the cell.
In order to avoid some extreme cases, for example, a large number of users simultaneously perform an operation of opening a web page within a certain statistical period, which causes the base station to enter a load balancing manner in which a balancing function start threshold of a cell is set according to a physical resource block utilization rate of the cell by mistake, in some embodiments, when a user usage model is used for a part of users to perform high throughput service, the load balancing method in the above embodiment further includes, before performing the load balancing manner:
judging whether the user usage model keeps the detection period of the continuous specified number unchanged;
if so, executing a load balancing mode of setting a balancing function starting threshold of the cell according to the utilization rate of the physical resource block of the cell;
and if not, executing a load balancing mode of setting a starting threshold value of a balancing function of the cell according to the number of the connected state users of the cell.
In some embodiments, the determining the user usage model according to the physical resource block utilization of each user terminal in the above embodiments includes:
screening user terminals with the physical resource block utilization rate larger than a first threshold value according to the physical resource block utilization rate of each user terminal;
calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals;
judging whether the terminal number ratio is greater than a second threshold value;
if the user usage model is larger than the second threshold, the user usage model is used for carrying out high throughput service on part of users;
and if the number of the users is smaller than the second threshold value, the users use the model to carry out the packet service for a large number of users.
In order to make load balancing more effective, this embodiment further provides a load balancing rule, where the rule is used for taking account of multiple load balancing effects when the base station performs one load balancing mode, and in some embodiments, before performing the load balancing mode, the load balancing method in the above embodiments includes:
calling a load balancing rule;
determining a load balancing object according to the utilization rate of the physical resource blocks of each user terminal and a load balancing rule;
and executing a load balancing mode according to the load balancing object.
In some embodiments, the determining the load balancing object according to the physical resource block utilization rate of each user terminal and the load balancing rule in the above embodiments includes:
when the load balancing mode is to set a balancing function starting threshold of a cell according to the number of connected state users of the cell, determining a preset number of user terminals with high physical resource block utilization as load balancing objects according to the physical resource block utilization of each user terminal, the position information of the user terminals, the priority of users and other adjustment related parameters;
when the load balancing mode is to set a balancing function starting threshold of the cell according to the physical resource block utilization rate of the cell, a predetermined number of user terminals with high physical resource block utilization rate are determined as load balancing objects according to relevant parameters such as the physical resource block utilization rate of each user terminal, user terminal position information, user priority and the like.
When the load balancing manner is to set the starting threshold of the balancing function of the cell according to the utilization rate of the physical resource blocks of the cell, the above embodiments are to select a predetermined number of user terminals with high utilization rate of the physical resource blocks as the load balancing objects in order to be compatible with the balancing rules of the existing user terminals that preferentially schedule high utilization rate of the physical resource blocks, in other embodiments, the predetermined number of user terminals with low utilization rate of the physical resource blocks can be determined as the load balancing objects by adjusting relevant parameters according to the utilization rate of the physical resource blocks of each user terminal, user terminal location information, user priorities, etc., for example, when the total number of the physical resource blocks of the cell is 100, at time T1, 50 user terminals exist, the utilization rate of the physical resource blocks of the cell is 85%, that is, 50 user terminals occupy 85 resource blocks, and need to balance 20 physical resource blocks to the neighboring cell, if 2 ues respectively occupying 10 physical resource blocks are selected to be balanced to an adjacent cell at time T2, the requirement of balancing function start threshold of the cell according to the physical resource block utilization rate of the cell can also be met, but the number of balanced ues is 48, load balancing of setting the starting threshold of the balancing function of the cell according to the number of connected state users of the cell may need to be performed at time T3, if 20 user terminals respectively occupying 1 physical resource block are selected to be balanced to the adjacent cell at time T2, can meet the equalization requirement of setting the start threshold of the equalization function of the cell according to the utilization rate of the physical resource blocks of the cell, the number of the equalized user terminals is 30, at the time of T3, load balancing for setting a balancing function start threshold of a cell according to the number of connected state users of the cell is not required, and multiple balancing effects can be achieved by one-time balancing.
The second embodiment:
fig. 2 is a schematic structural diagram of a load balancing apparatus according to a second embodiment of the present invention, and as can be seen from fig. 2, the load balancing apparatus according to this embodiment includes: a detection module 21, a selection module 22 and an execution module 23, wherein,
the detection module 21 is configured to detect a utilization rate of a physical resource block of each user terminal in a current cell;
the selection module 22 is configured to determine a user usage model according to the utilization rate of the physical resource blocks of each user terminal, where the user usage model includes that a large number of users are performing small packet services and a part of users are performing high throughput services; determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of physical resource blocks of the cell;
the execution module 23 is used for executing a load balancing manner.
In some embodiments, the selecting module 22 in the above embodiments is configured to select the load balancing manner as setting a balancing function starting threshold of the cell according to the number of connected state users of the cell when the user usage model is that a large number of users are performing a packet service; when the user usage model is used for carrying out high throughput business for part of users, the load balancing mode is selected as a balancing function starting threshold value of the cell according to the utilization rate of the physical resource blocks of the cell.
In some embodiments, when the user usage model is part of users performing high throughput services, the selection module 22 in the above embodiments is further configured to determine whether the user usage model keeps unchanged for a continuously specified number of detection cycles before executing the load balancing manner, and if so, set the load balancing manner to be a balancing function start threshold set according to a physical resource block utilization rate of the cell; if not, setting the load balancing mode as a balancing function starting threshold value of the cell according to the number of the connected state users of the cell.
In some embodiments, the selection module 22 in the foregoing embodiments is configured to screen, according to the physical resource block utilization of each user terminal, the user terminals whose physical resource block utilization is greater than the first threshold; calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals; judging whether the terminal number ratio is greater than a second threshold value; if the user usage model is larger than the second threshold, the user usage model is that part of users perform high throughput service; and if the number of the users is smaller than the second threshold value, the users use the model to carry out the packet service for a large number of users.
In some embodiments, the selection module 22 in the above embodiments is configured to invoke load balancing rules; determining a load balancing object according to the utilization rate of the physical resource blocks of each user terminal and a load balancing rule; the execution module is used for executing a load balancing mode according to the load balancing object.
In some embodiments, the selection module 22 in the foregoing embodiments is configured to, when the load balancing manner is to set a balancing function start threshold of a cell according to the number of connected state users of the cell, adjust relevant parameters according to the physical resource block utilization rate of each user terminal, user terminal location information, user priority, and the like, to determine a predetermined number of user terminals with high physical resource block utilization rates as load balancing objects; when the load balancing mode is to set the starting threshold of the balancing function of the cell according to the utilization rate of the physical resource blocks of the cell, the user terminals with high utilization rates of the physical resource blocks of a preset number are determined as load balancing objects according to the physical resource block utilization rate of each user terminal, the position information of the user terminals, the priority of the users and other relevant adjusting parameters.
In practical applications, all the functional modules in the embodiment shown in fig. 2 may be implemented by using a processor, an editing logic device, or the like.
The third embodiment:
fig. 3 is a schematic structural diagram of a base station according to a third embodiment of the present invention, and as can be seen from fig. 3, the base station according to this embodiment includes: a statistics module 31, a processor 32 and an equalization module 33, wherein,
the statistical module 31 is configured to periodically detect the utilization rate of the physical resource blocks of each user terminal in the current cell;
the processor 32 is configured to determine a user usage model according to the utilization rate of the physical resource blocks of each user terminal, where the user usage model includes that a large number of users are performing small packet services and a part of users are performing high throughput services; determining a load balancing mode according to a user use model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of a physical resource block of the cell;
the balancing module 33 is configured to execute a load balancing manner to share the load to the low-load neighboring cell.
In some embodiments, the processor 32 in the foregoing embodiments is configured to, when the user usage model is that a large number of users are performing a packet service, select a load balancing manner as setting a balancing function start threshold of a cell according to the number of connected users of the cell; when the user usage model is used for part of users to carry out high throughput business, whether the user usage model keeps the detection period of the continuous specified number unchanged is judged, if yes, the load balancing mode is selected to set the balancing function starting threshold value of the cell according to the utilization rate of the physical resource blocks of the cell, and if not, the load balancing mode is selected to set the balancing function starting threshold value of the cell according to the number of the connected state users of the cell.
In some embodiments, the processor 32 in the foregoing embodiments is configured to screen, according to the physical resource block utilization of each user terminal, user terminals whose physical resource block utilization is greater than the first threshold; calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals; judging whether the terminal number ratio is greater than a second threshold value; if the user usage model is larger than the second threshold value, selecting the user usage model as a part of users performing high throughput service; and if the user usage model is smaller than the second threshold, selecting the user usage model as a large number of users performing the packet service.
In some embodiments, the processor 32 in the above embodiments is configured to invoke a load balancing rule, when the load balancing manner sets a balancing function start threshold of the cell according to the number of connected state users of the cell, determine, as a load balancing object, a predetermined number of user terminals with high physical resource block utilization according to relevant parameters of adjustment such as physical resource block utilization of each user terminal, user terminal location information, and user priority, and when the load balancing manner sets a balancing function start threshold of the cell according to physical resource block utilization of the cell, determine, as a load balancing object, a predetermined number of user terminals with high physical resource block utilization according to relevant parameters of adjustment such as physical resource block utilization of each user terminal, user terminal location information, and user priority; the balancing module 33 is configured to allocate the load of the load balancing object to the low-load neighboring cell when executing the load balancing manner.
In practical applications, all the functional modules in the embodiment shown in fig. 3 may be implemented by using a processor, an editing logic device, or the like.
The fourth embodiment:
the present invention will now be further explained with reference to specific application scenarios.
Whether the load balancing function is triggered is judged according to the load of the cell, and the load of the cell is evaluated in the following two ways:
1. PRB utilization rate calculation mode:
the calculation formula of the real-time measurement value of the PRB utilization rate of the load balancing function is as follows:
wherein, N GBR Number of PRBs occupied for GBR traffic, N NGBR The number of PRBs occupied by the NGBR service, PBR is the minimum guaranteed rate (background parameter dwPbr configuration) of the NGBR service, Throughput is the actual Throughput of the NGBR service, delta is the NGBR conversion factor, and N is the number of the PRBs occupied by the NGBR service total The available bandwidth for the system.
2. The user number accounts for than the calculation mode:
the calculation formula of the user number occupation ratio UserNumRate is as follows:
wherein, UENum is the number of the current actual users in the cell. wUeNumThrd is threshold of cell RRC connection user number (admission control parameter)
The service modes of the network or the base station have variability, service models of the same cell in different time periods are different, and the diversity and variability of the network service models cannot be met by using a single balance function trigger mode.
In this embodiment, different high-load service models in the commercial network are considered, and the judgment is performed first, and then the corresponding balanced trigger mode is selected. The efficiency of triggering the load balancing function is improved, so that the load among the cells is more balanced, and the user experience is improved.
The invention adopts the following technical scheme: and judging the load model of the cell by the base station through setting periodic measurement judgment. And then starting the balance trigger function of the corresponding mode. Therefore, the purpose that the load balancing function automatically starts and optimizes load sharing according to different service models is achieved.
Compared with the prior art, the base station judges in real time according to the load models of different base stations in the commercial network and selects the current optimal load balancing function to start. Thereby more efficiently balancing the load of the high-load cell and the peripheral cells with the same coverage. The network utilization rate is improved, and meanwhile the user experience is improved.
As shown in fig. 4, the method for automatically optimizing a load balancing start-up manner provided in this embodiment includes the following specific implementation steps:
s401: selecting a base station or a cell, setting a load statistic period, a statistic granularity and load judgment thresholds Lambda, Delta and Delta for starting a load balancing function,
S402: and checking the number a of all terminals in the current statistical granularity of the cell, wherein the PRB utilization rate of all terminals is greater than the threshold lambda, and the total number b of the terminals in the cell.
S403: judging and comparing the values of a/b and delta, if the continuous three granularities a/b are larger than or equal to delta, executing a step S404, otherwise executing a step S405.
S404: PRBusage of cell and set judgment threshold
Comparing to obtain a comparison result which is greater than or equal to the threshold
Step S406 is performed, otherwise step S410 is performed.
S405: using UserNumRate of cell and set decision threshold
Comparing to obtain a comparison result which is greater than or equal to the threshold
Then it is heldStep S407 is performed, otherwise step S410 is performed.
S406: and the base station starts a load balancing function based on the PRB utilization rate, and transfers part of the load to the adjacent cell covered by the same area through switching or reselection.
S407: the base station starts a load balancing function based on the number of users, and transfers part of the user load to an adjacent cell covered by the base station through switching or reselection.
S408: and (5) counting the cell PRBusage of the current time granularity after the period is finished. If the PRB utilization rate is still higher than the judgment threshold
If the cell load is still high, step S406 is executed, and if the cell load is lower than the decision threshold
Step S410 is performed.
S409: counting whether the current counting granularity of the base station or the cell is counted at the end of the period and whether the UserNumRate of the cell is more than or equal to the set judgment threshold
If so, step S407 is performed, otherwise, step S410 is performed.
S410: and ending the flow.
In this embodiment, the statistical granularity: the minimum time granularity of the statistical indexes of the base station or the cell is generally 15 minutes, and the minimum time granularity is required to be more than or equal to 10S. And lambda is a service model threshold value, if the ratio of the number of the terminals with high PRB utilization rate exceeds the threshold value, the service model with high PRB utilization rate is judged, otherwise, the service model with high user number is judged. The threshold of the PRB utilization rate is set for counting the users with high PRB utilization rate, and is generally set to be 1%. a, the number of terminals with PRB utilization rate exceeding Λ in the cell. b, the total number of terminals in the cell.
And starting the minimum load value required by the cell or base station balancing function for the load judgment threshold. Values below which it is deemed unnecessaryAnd (5) starting.
In summary, the implementation of the embodiment of the present invention has at least the following advantages:
the embodiment of the invention provides a load balancing method, which realizes the judgment of a cell load model by counting the utilization rate of physical resource blocks of each user terminal in a cell and determining a user use model according to a counting result, and starts a load balancing trigger function of a corresponding mode on the basis, thereby achieving the purpose that the load balancing function is automatically started and optimized for load sharing according to different service models, namely a base station can judge according to different load models in a commercial existing network and select the current optimal load balancing function for starting, thereby balancing the loads of a high-load cell and a peripheral same-coverage cell more efficiently, improving the network utilization rate and simultaneously improving the user experience.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above embodiments are only examples of the present invention, and are not intended to limit the present invention in any way, and any simple modification, equivalent change, combination or modification made by the technical essence of the present invention to the above embodiments still fall within the protection scope of the technical solution of the present invention.
Claims (13)
1. A method of load balancing, comprising:
detecting the utilization rate of a physical resource block of each user terminal in the current cell;
determining a user usage model according to the utilization rate of the physical resource blocks of each user terminal, wherein the user usage model comprises that a large number of users perform small packet service and a part of users perform high throughput service;
determining a load balancing mode according to the user usage model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of physical resource blocks of the cell;
executing the load balancing mode;
wherein, the determining a load balancing manner according to the user usage model comprises:
when the user usage model is used for carrying out the packet service for a large number of users, the load balancing mode is that a balancing function starting threshold value of a cell is set according to the number of connected state users of the cell;
when the user usage model is used for carrying out high throughput business for part of users, the load balancing mode is to set a balancing function starting threshold value of the cell according to the utilization rate of the physical resource blocks of the cell.
2. The load balancing method according to claim 1, wherein when the user usage model is for a part of users conducting high throughput traffic, the load balancing method further comprises, before performing the load balancing manner:
judging whether the user usage model keeps unchanged for a continuously specified number of detection periods;
if so, executing a load balancing mode of setting a balancing function starting threshold of the cell according to the utilization rate of the physical resource block of the cell;
and if not, executing a load balancing mode of setting a starting threshold value of a balancing function of the cell according to the number of the connected state users of the cell.
3. The load balancing method according to claim 1, wherein the determining a user usage model according to the physical resource block utilization of each user terminal comprises:
screening user terminals with the physical resource block utilization rate larger than a first threshold value according to the physical resource block utilization rate of each user terminal;
calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals;
judging whether the terminal number ratio is greater than a second threshold value;
if the user usage model is larger than the second threshold, the user usage model is that part of users are performing high throughput business;
and if the number of the users is smaller than the second threshold value, the user usage model is that a large number of users are carrying out the packet service.
4. A method as claimed in any one of claims 1 to 3, wherein prior to performing the load balancing means, comprising:
calling a load balancing rule;
determining a load balancing object according to the utilization rate of the physical resource blocks of each user terminal and the load balancing rule;
and executing the load balancing mode according to the load balancing object.
5. The load balancing method according to claim 4, wherein the determining a load balancing object according to the physical resource block utilization of each user terminal and the load balancing rule comprises:
when the load balancing mode is to set a balancing function starting threshold of a cell according to the number of connected state users of the cell, determining a preset number of user terminals with high physical resource block utilization as load balancing objects according to the physical resource block utilization of each user terminal, the position information of the user terminals and the user priority;
and when the load balancing mode is to set a balancing function starting threshold of the cell according to the physical resource block utilization rate of the cell, determining a preset number of user terminals with high physical resource block utilization rate as load balancing objects according to the physical resource block utilization rate of each user terminal, the position information of the user terminal and the user priority.
6. A load balancing apparatus comprising: a detection module, a selection module and an execution module, wherein,
the detection module is used for detecting the utilization rate of the physical resource blocks of each user terminal in the current cell;
the selection module is used for determining a user usage model according to the physical resource block utilization rate of each user terminal, wherein the user usage model comprises a plurality of users performing small packet service and a part of users performing high throughput service; determining a load balancing mode according to the user usage model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of physical resource blocks of the cell;
the execution module is used for executing the load balancing mode;
the selection module is used for selecting the load balancing mode as a balancing function starting threshold value of a cell according to the number of connected state users of the cell when the user usage model is used for carrying out the cell service for a large number of users; and when the user usage model is used for carrying out high throughput business for part of users, selecting the load balancing mode as a balancing function starting threshold value of a cell according to the utilization rate of the physical resource blocks of the cell.
7. The load balancing apparatus according to claim 6, wherein the selecting module is further configured to, before the load balancing apparatus executes the load balancing manner, determine whether the user usage model keeps unchanged for a specified number of consecutive detection cycles when the user usage model is a part of users conducting high throughput service, and if so, set the load balancing manner to be a balancing function start threshold of a cell according to a physical resource block utilization rate of the cell; if not, setting the load balancing mode as a balancing function starting threshold value of the cell according to the number of connected state users of the cell.
8. The load balancing device according to claim 6, wherein the selecting module is configured to screen the ue having a physical resource block utilization greater than the first threshold according to the physical resource block utilization of each ue; calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals; judging whether the terminal number ratio is greater than a second threshold value; if the user usage model is larger than the second threshold, the user usage model is that part of users are performing high throughput business; and if the number of the users is smaller than the second threshold value, the user usage model is that a large number of users are carrying out the packet service.
9. The load balancing apparatus according to any one of claims 6 to 8, wherein the selection module is configured to invoke a load balancing rule; determining a load balancing object according to the utilization rate of the physical resource blocks of each user terminal and the load balancing rule; the execution module is used for executing the load balancing mode according to the load balancing object.
10. The load balancing apparatus according to claim 9, wherein the selecting module is configured to determine a predetermined number of user terminals with high physical resource block utilization as the load balancing objects according to the physical resource block utilization of each user terminal, the user terminal location information, and the user priority, when the load balancing manner is to set the balancing function start threshold of the cell according to the number of connected state users of the cell; and when the load balancing mode is to set a balancing function starting threshold of the cell according to the physical resource block utilization rate of the cell, determining a preset number of user terminals with high physical resource block utilization rate as load balancing objects according to the physical resource block utilization rate of each user terminal, the position information of the user terminal and the user priority.
11. A base station, comprising: the system comprises a statistical module, a processor and a balancing module, wherein the statistical module is used for periodically detecting the utilization rate of physical resource blocks of each user terminal in a current cell; the processor is used for determining a user usage model according to the physical resource block utilization rate of each user terminal, wherein the user usage model comprises a large number of users performing small packet service and a part of users performing high throughput service; determining a load balancing mode according to the user usage model, wherein the load balancing mode comprises a balancing function starting threshold value of a cell set according to the number of connected state users of the cell and a balancing function starting threshold value of the cell set according to the utilization rate of physical resource blocks of the cell; the balancing module is used for executing the load balancing mode and distributing the load to the low-load adjacent regions;
the processor is used for selecting the load balancing mode as a balancing function starting threshold value of a cell according to the number of connected state users of the cell when the user usage model is used for carrying out the cell service for a large number of users; when the user usage model is used for part of users to carry out high throughput business, whether the user usage model keeps the detection period of the continuous specified number unchanged is judged, if yes, the load balancing mode is selected to set the balancing function starting threshold value of the cell according to the utilization rate of the physical resource blocks of the cell, and if not, the load balancing mode is selected to set the balancing function starting threshold value of the cell according to the number of connected state users of the cell.
12. The base station of claim 11, wherein the processor is configured to screen the user terminals with physical resource block utilization greater than the first threshold according to the physical resource block utilization of each user terminal; calculating a terminal ratio value of the number of the screened user terminals to the number of the total user terminals; judging whether the terminal number ratio is greater than a second threshold value; if the user usage model is larger than a second threshold value, selecting the user usage model as a part of users to perform high throughput service; and if the user usage model is smaller than a second threshold value, selecting the user usage model as a large number of users to perform the packet service.
13. The base station according to any of claims 11 to 12, wherein the processor is configured to invoke a load balancing rule, when the load balancing manner is to set a balancing function start threshold of the cell according to a number of connected state users of the cell, determine a predetermined number of user terminals with high physical resource block utilization as load balancing objects according to a physical resource block utilization of each user terminal, user terminal location information, and user priority, and when the load balancing manner is to set a balancing function start threshold of the cell according to a physical resource block utilization of the cell, determine a predetermined number of user terminals with high physical resource block utilization as load balancing objects according to a physical resource block utilization of each user terminal, user terminal location information, and user priority; the balancing module is used for distributing the load of the load balancing object to a low-load adjacent region when the load balancing mode is executed.
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| CN110868735B (en) * | 2018-08-27 | 2023-04-07 | 中国移动通信集团广东有限公司 | Load balancing method and device |
| CN109151881B (en) * | 2018-11-16 | 2021-11-09 | 南京华苏科技有限公司 | Network load balancing optimization method based on user data |
| CN111263405B (en) * | 2018-11-30 | 2022-11-22 | 中国移动通信集团吉林有限公司 | Load balancing method and device for cell |
| CN111757386B (en) * | 2019-03-28 | 2023-05-02 | 成都鼎桥通信技术有限公司 | Download control method and device |
| CN110493821B (en) * | 2019-06-25 | 2022-08-12 | 中国通信建设集团设计院有限公司 | Processing method and device for load balance among base station cells and electronic equipment |
| CN110446229B (en) * | 2019-08-12 | 2022-11-25 | 中通服咨询设计研究院有限公司 | 5G network load balancing method based on interference level |
| CN112867064B (en) * | 2019-11-26 | 2022-09-16 | 中国移动通信集团山东有限公司 | Load balancing method, device, storage medium and source base station |
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