CN108242986B - Load balancing method and device based on number of users - Google Patents
Load balancing method and device based on number of users Download PDFInfo
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- 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
- H04W28/0215—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
- H04L5/001—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers
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- 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
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Abstract
The present invention relates to the field of communications technologies, and in particular, to a load balancing method and apparatus based on the number of users. The method comprises the following steps: when a CA cell exists in a cell set for implementing a load balancing strategy, acquiring the number of common users of the CA cell and the equivalent number of common users corresponding to the CA user, determining the total number of users according to the number of the common users and the equivalent number of the common users, and balancing partial users of the cell with the total number of users larger than a set threshold value to the cell with the total number of users smaller than the set threshold value based on the total number of users corresponding to each cell and used for implementing load balancing calculation. By adopting the method, the number of the ordinary users in the CA cell and the equivalent ordinary users corresponding to the CA users are used as the total number of the users for implementing the load balancing strategy, so that the actual user load capacity of each cell is calculated more accurately, and the number of balanced users is more accurate when the load balancing strategy is implemented, thereby improving the balancing effect and improving the user experience.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a load balancing method and apparatus based on the number of users.
Background
With the continuous development of key technologies in mobile communication, various key technologies for improving network quality are also rapidly deployed in the existing network, for example, Carrier Aggregation (CA) technology and user number-based load balancing technology are introduced into the existing network. Compatibility issues between different key technologies and combined application issues are then a major concern in the industry.
The CA technology is to aggregate multiple continuous or discontinuous carriers together and simultaneously serve a User Equipment (UE) when needed to provide a required rate. The load balancing technology based on the number of users means that part of users of a cell with high load in at least two cells implementing a load balancing strategy are balanced into a cell with low load.
In the prior art, a load balancing method based on the number of users directly calculates according to the number of users of the existing common data service in a cell implementing load balancing, as shown in table 1, wherein a cell B and a cell C implement a load balancing strategy, the cell C is a high-load cell with a large number of users, and part of the users need to be balanced to the cell B by the load balancing strategy; the cell A and the cell B are CA cells, CA users are arranged on the cell A and the cell B, wherein the main carrier of the CA users is the cell A, and the auxiliary carrier is the cell B.
TABLE 1
When x and m meet the condition of balancing users from the cell C (source cell) to the cell B (target cell), the number of users needing balancing, namely, (x-m)/2, is calculated, and (x-m)/2 users in the cell C are balanced to the cell B.
However, by using the above balancing method based on the number of users, the load influence of the CA data service on the target cell is not considered only according to the number of the existing common data service users in the mutually balanced cells, which may result in too many or too few users balanced to the target cell, thereby reducing the balancing effect and affecting the user perception.
In summary, a new load balancing method based on the number of users needs to be designed to overcome the defects and shortcomings in the prior art.
Disclosure of Invention
The embodiment of the invention provides a load balancing method and device based on the number of users, which are used for solving the problem that the balancing effect is poor and the user perception is influenced because too many or too few users are balanced to a target cell in the prior art.
The embodiment of the invention provides the following specific technical scheme:
a load balancing method based on the number of users comprises the following steps:
determining a cell set for implementing a load balancing strategy based on the user load capacity of each cell;
when determining that at least one carrier aggregation CA cell exists in the cell set, respectively determining the number of CA users and the number of common users of each CA cell;
respectively determining the total number of users of the corresponding CA cell for implementing load balancing according to the number of CA users and the number of common users of each CA cell, and respectively determining the total number of users of the corresponding non-CA cell for implementing load balancing according to the number of common users of each non-CA cell in the cell set;
and balancing partial users of the cell with the total user number larger than the set threshold value to the cell with the total user number smaller than the set threshold value based on the total user number used for carrying out load balancing calculation corresponding to each CA cell and each non-CA cell.
Optionally, determining the total number of users used by the CA cell to implement load balancing according to the number of CA users and the number of common users in the CA cell includes:
calculating the equivalent common user number corresponding to the CA user number of the CA cell according to the CA user number of the CA cell;
and determining the sum of the equivalent common user number corresponding to the CA user number of the CA cell and the common user number of the CA cell as the total user number of the CA cell for implementing load balancing.
Optionally, calculating an equivalent number of common users corresponding to the number of CA users of the CA cell according to the number of CA users of the CA cell, including:
if the CA cell is a main CA cell, directly determining the number of CA users of the CA cell as the number of equivalent ordinary users, wherein one CA user in the main CA cell is equivalent to one ordinary user;
if the CA cell is an auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
Optionally, the step of counting a ratio of the traffic of any CA user in the auxiliary CA cell to the traffic of the corresponding CA user in the main CA cell, and determining an equivalent coefficient includes:
counting the proportion of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell;
counting the proportion of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell;
and aiming at any CA user, comparing the uplink traffic proportion and the downlink traffic proportion of the corresponding CA user, and determining the larger one as an equivalent coefficient.
Optionally, balancing, based on the total number of users used for load balancing calculation corresponding to each CA cell and each non-CA cell, a part of users in a cell in which the total number of users is greater than a set threshold to a cell in which the total number of users is less than the set threshold, includes:
determining the average user number of the cell set based on the total user number used for load balancing calculation and corresponding to each cell in the cell set;
and balancing part of users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
A load balancing apparatus based on the number of users, comprising:
the first determining unit is used for determining a cell set for implementing a load balancing strategy based on the user load capacity of each cell;
a second determining unit, configured to determine, when at least one carrier aggregation CA cell exists in the cell set, the number of CA users and the number of normal users of each CA cell respectively;
a third determining unit, configured to determine, according to the number of CA users and the number of normal users of each CA cell, a total number of users of the corresponding CA cell for performing load balancing, and determine, according to the number of normal users of each non-CA cell in the cell set, a total number of users of the corresponding non-CA cell for performing load balancing;
and the execution unit is used for balancing partial users of the cell with the total user number larger than the set threshold value to the cell with the total user number smaller than the set threshold value based on the total user number used for carrying out load balancing calculation corresponding to each CA cell and each non-CA cell.
Optionally, when determining the total number of users used by the CA cell to implement load balancing according to the number of CA users and the number of normal users of the CA cell, the second determining unit is configured to:
calculating the equivalent common user number corresponding to the CA user number of the CA cell according to the CA user number of the CA cell;
and determining the sum of the equivalent common user number corresponding to the CA user number of the CA cell and the common user number of the CA cell as the total user number of the CA cell for implementing load balancing.
Optionally, when calculating the equivalent number of normal users corresponding to the number of CA users of the CA cell according to the number of CA users of the CA cell, the second determining unit is configured to:
if the CA cell is a main CA cell, directly determining the number of CA users of the CA cell as the number of equivalent ordinary users, wherein one CA user in the main CA cell is equivalent to one ordinary user;
if the CA cell is an auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
Optionally, when the ratio of the traffic of any CA user in the secondary CA cell to the traffic of the corresponding CA user in the primary CA cell is counted, and the equivalent coefficient is determined, the second determining unit is configured to:
counting the proportion of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell;
counting the proportion of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell;
and aiming at any CA user, comparing the uplink traffic proportion and the downlink traffic proportion of the corresponding CA user, and determining the larger one as an equivalent coefficient.
Optionally, when balancing, based on the total number of users used for load balancing calculation corresponding to each CA cell and each non-CA cell, a part of users in a cell in which the total number of users is greater than a set threshold to a cell in which the total number of users is less than the set threshold, the execution unit is configured to:
determining the average user number of the cell set based on the total user number used for load balancing calculation and corresponding to each cell in the cell set;
and balancing part of users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
The invention has the following beneficial effects:
in summary, in the embodiments of the present invention, when it is determined that a CA cell exists in a cell set implementing a load balancing policy, the number of normal users of the CA cell and the equivalent number of normal users corresponding to CA users are obtained, a total number of users is determined according to the number of normal users and the equivalent number of normal users, and based on the total number of users for implementing load balancing calculation corresponding to each cell, a part of users of the cell whose total number of users is greater than a set threshold is balanced to a cell whose total number of users is less than the set threshold. By adopting the method, the number of the common users in the CA cell and the equivalent number of the common users corresponding to the CA users are used as the total number of the users for implementing the load balancing strategy, so that the actual user load capacity of each cell is more accurately calculated, and the number of the balanced users is more accurate when the load balancing strategy is implemented, thereby improving the balancing effect and improving the user experience.
Drawings
Fig. 1 is a detailed flowchart of a load balancing method based on the number of users in the embodiment of the present invention;
fig. 2 shows an embodiment of the present invention, in which a cell a and a cell B are cells implementing a CA technology, and a cell B and a cell C are cells implementing a load balancing policy;
fig. 3 is a schematic structural diagram of a load balancing apparatus based on the number of users in the 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 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The scheme of the present invention will be described in detail by way of specific examples, but the present invention is not limited to the following examples.
Referring to fig. 1, in the embodiment of the present invention, a load balancing method based on the number of users has the following flow:
step 101: and determining a cell set for implementing a load balancing strategy based on the user load capacity of each cell.
Specifically, when step 101 is executed, the user load amounts of the cells in the set area are counted, the cells that need to implement the load balancing policy are determined according to the user load amounts of the cells, and the cells that need to implement the load balancing policy are combined into a cell set that implements the load balancing policy.
For example, assuming that four cells, namely cell a, cell B, cell C and cell D, exist in a set area, respectively counting user load amounts of cell 1, cell 2, cell 3 and cell 4, determining that the user load amount of cell 1 is too large and the user load amount of cell 3 and cell 4 is too small according to the user load amounts of the four cells, determining that the load balancing strategies need to be implemented for cell 1, cell 3 and cell 4, and forming cell 1, cell 3 and cell 4 into a cell set (cell 1, cell 3 and cell 4) for implementing the load strategies.
Step 102: when determining that Carrier Aggregation (CA) cells exist in the cell set, respectively determining the number of CA users and the number of normal users of each CA cell.
In practical application, when step 102 is executed, when it is determined that at least one CA cell exists in the cell set, the number of users using CA service and the number of users using normal service in the CA cell are respectively obtained.
For example, assume that when determining a cell set implementing a load policy, such as a cell 1 in (cell 1, cell 3, cell 4) and a CA cell, the number of users using CA service in the cell 1 is N, and the number of users using normal service in the cell 1 is M, where N ≧ 1, and M ≧ 1.
Step 103: and respectively determining the total number of users of the corresponding CA cell for implementing the load balancing strategy according to the number of the CA users of each CA cell, and respectively determining the total number of users of the corresponding non-CA cell for implementing the load balancing according to the number of the common users of each non-CA user in the cell set.
In practical application, when step 103 is executed, for the CA cells in the cell set, according to the number of CA users of the CA cell, the equivalent number of normal users corresponding to the number of CA users of the CA cell is calculated.
Specifically, the main CA cell carries the CA service of the CA user to the maximum extent according to its own CA service carrying capability, and other CA services are carried by other auxiliary CA cells, so when it is determined that the above-mentioned CA cell is the main CA cell, the number of CA users of the CA cell is directly determined as the equivalent number of normal users, where one CA user in the main CA cell is equivalent to one normal user.
For example, assuming that the number of CA users of the cell 1 in the cell set is L, when the cell 1 is determined to be the primary CA cell, one CA user is equivalent to one normal user, so that the equivalent normal user number corresponding to the number of CA users of the cell 1 can be directly determined to be L.
And when the CA cell is determined to be the auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
Of course, when the ratio of the traffic of any CA user in the auxiliary CA cell to the traffic of the corresponding CA user in the main CA cell is counted, and the equivalent coefficient is determined, the ratio of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell needs to be counted, the ratio of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell in the auxiliary CA cell is counted, and for any CA user, the ratio of the uplink traffic and the ratio of the downlink traffic of the corresponding CA user are compared, and the larger is determined as the equivalent coefficient.
For example, assuming that cell 1 is one of the cells in the cell set implementing the load balancing policy, and cell 1 is an auxiliary CA cell, cell 1 ' is a main CA cell corresponding to cell 1, the uplink CA traffic of CA user 1 in cell 1 in the above cell 1 accounts for 20%, and the uplink CA traffic of the above cell 1 ' accounts for 80%, the uplink CA traffic ratio of CA user 1 in the auxiliary CA cell (cell 1) to the uplink CA traffic of user 1 in the main cell (cell 1 ') is 1/4; the downlink CA traffic of the user 1 in the cell 1 accounts for 25%, and the downlink CA traffic of the cell 1 'accounts for 75%, then the downlink CA traffic ratio between the downlink CA traffic of the CA user 1 in the auxiliary CA cell (cell 1) and the downlink CA traffic of the user 1 in the main cell (cell 1') is 1/3, wherein 1/3 > 1/4, and 1/3 is used as an equivalent coefficient of the CA user 1, that is, one CA user in the cell 1 corresponds to 1/3 equivalent ordinary users.
Further, the sum of the equivalent number of the ordinary users corresponding to the number of the CA users of the CA cell and the number of the ordinary users of the CA cell is determined as the total number of the users of the CA cell for implementing load balancing.
For example, if a CA cell has X CA users and Y normal users, where the equivalent number of normal users corresponding to the X CA users is X ', then the total number of users for implementing load balancing in the CA cell is (X' + Y).
Step 104: and balancing partial users of the cell with the total number of users larger than the set threshold value to the cell with the number of users smaller than the set threshold value based on the total number of users for implementing load balancing corresponding to each CA cell and each non-CA cell.
Specifically, when step 104 is executed, the average user number of the cell set is determined based on the total user number used for load balancing calculation corresponding to each cell in the cell set, and part of users of the cell in which each total user number is greater than the average user number are balanced to cells in which the total user number is less than the average user number.
In practical applications, the case of equalizing the partial users in the cell with the total number of users greater than the average number of users to the other cells with the total number of users less than the average number of users includes, but is not limited to, any one of the following three cases:
the first case is: and balancing partial users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
For example, assuming that the total number of users in cell 1, the total number of users in cell 2, and the total number of users in cell 3 in the cell set implementing the load balancing policy are 80, 40, and 30, the average number of users in cell 1, cell 2, and cell 3 is 50, so that (50-40 ═ 10) users in cell 1 can be balanced in cell 2, and (50-30 ═ 20) users in cell 1 can be balanced in cell 3.
The second case is: and equalizing the partial users of the cells with the total number of the users larger than the average number of the users to a cell with the total number of the users smaller than the average number of the users.
For example, assuming that the total number of users in cell 1, the total number of users in cell 2, and the total number of users in cell 3 in the cell set implementing the load balancing policy are 80, 100, and 30, the average number of users in cell 1, cell 2, and cell 3 is 70, so that (80-70 ═ 10) users in cell 1 can be balanced in cell 3, and (100-70 ═ 30) users in cell 2 can be balanced in cell 3.
The third case is: and balancing the partial users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
For example, assuming that the total number of users of cell 1, the total number of users of cell 2, and the total number of users of cell 3 are 80 and 30, respectively, in the cell set implementing the load balancing policy, then the total number of users of cell 4 is 30 and the average number of users of cell 1, cell 2, cell 3, and cell 4 is 60, so that the total number of users of cell 1 is greater than the average number of users (80-60 is 20) and the number of users of cell 2 is greater than the average number of users (100-60 is 40), so that 20 users of cell 1 and 10 users of cell 2 can be balanced into cell 3, and 30 users of cell 2 can be balanced into cell 4.
The practical application of the embodiments of the present invention in a specific service scenario will be described by way of example.
Of course, in the embodiment of the present invention, only two cells (e.g., cell a and cell B) are taken as the cells implementing the CA technology, and two cells (e.g., cell B and cell C) are taken as the cells implementing the load balancing policy, which is taken as an example of the best implementation.
For example, referring to fig. 2, in the embodiment of the present invention, cell a and cell B are both cells implementing CA technology, where cell a is a primary CA cell and cell B is a secondary CA cell; and the cell B and the cell C are both cells for implementing the load balancing strategy, wherein the cell B and the cell C form a cell set for implementing the load balancing strategy. In the embodiment of the present invention, when counting user load amounts of a cell B and a cell C, it is determined that user load amount of the cell B is too small, and when user load amount of the cell C is too large, it is determined that a load balancing policy needs to be implemented by the cell B and the cell C, then, first, a number of CA users (e.g., n) and a number of ordinary users (e.g., m) of the cell B are obtained, a number of ordinary users (e.g., x) of the cell C are obtained, equivalent coefficients (e.g., p1, p2, …, pn) corresponding to n CA users in the cell B are respectively determined, and an average equivalent coefficient p of n users is determined according to the equivalent coefficients corresponding to the n CA users, where p is (p1+ p2+ … + pn)/n, then, as shown in table 2, the number of equivalent ordinary users corresponding to n CA users is p n, so that the total number of users used for the load balancing policy of the cell B is m + p n, and the total number of users of the cell C for the load balancing strategy is x, where x > (m + p × n). When the load balancing policy is implemented based on the total number of users (e.g., m + p × n) for implementing the load balancing policy corresponding to cell B and the total number of users (e.g., x) for implementing the load balancing policy corresponding to cell C, cell C balances (x-m-p × n)/2 users to cell B.
TABLE 2
Based on the above embodiments, referring to fig. 3, in an embodiment of the present invention, a load balancing apparatus based on the number of users at least includes a first determining unit 30, a second determining unit 31, a third determining unit 32, and an executing unit 33, wherein,
a first determining unit 30, configured to determine a cell set implementing a load balancing policy based on a user load amount of each cell;
a second determining unit 31, configured to determine, when at least one carrier aggregation CA cell exists in the cell set, the number of CA users and the number of normal users of each CA cell respectively;
a third determining unit 32, configured to determine, according to the number of CA users and the number of normal users of each CA cell, a total number of users of the corresponding CA cell for implementing load balancing, and determine, according to the number of normal users of each non-CA cell in the cell set, a total number of users of the corresponding non-CA cell for implementing load balancing;
and the executing unit 33 is configured to balance, based on the total number of users for performing load balancing calculation corresponding to each CA cell and each non-CA cell, the partial users of the cell whose total number of users is greater than the set threshold to the cell whose total number of users is less than the set threshold.
Optionally, when determining the total number of users used by the CA cell to implement load balancing according to the number of CA users and the number of normal users of the CA cell, the second determining unit 31 is configured to:
calculating the equivalent common user number corresponding to the CA user number of the CA cell according to the CA user number of the CA cell;
and determining the sum of the equivalent common user number corresponding to the CA user number of the CA cell and the common user number of the CA cell as the total user number of the CA cell for implementing load balancing.
Optionally, when calculating the equivalent number of normal users corresponding to the number of CA users of the CA cell according to the number of CA users of the CA cell, the second determining unit 31 is configured to:
if the CA cell is a main CA cell, directly determining the number of CA users of the CA cell as the number of equivalent ordinary users, wherein one CA user in the main CA cell is equivalent to one ordinary user;
if the CA cell is an auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
Optionally, when counting a ratio of the traffic of any CA user in the secondary CA cell to the traffic of the corresponding CA user in the primary CA cell, and determining the equivalent coefficient, the second determining unit 31 is configured to:
counting the proportion of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell;
counting the proportion of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell;
and aiming at any CA user, comparing the uplink traffic proportion and the downlink traffic proportion of the corresponding CA user, and determining the larger one as an equivalent coefficient.
Optionally, when balancing, based on the total number of users used for load balancing calculation corresponding to each CA cell and each non-CA cell, a part of users in a cell in which the total number of users is greater than a set threshold to a cell in which the total number of users is less than the set threshold, the execution unit 33 is configured to:
determining the average user number of the cell set based on the total user number used for load balancing calculation and corresponding to each cell in the cell set;
and balancing part of users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
In summary, in the embodiments of the present invention, when it is determined that a CA cell exists in a cell set implementing a load balancing policy, the number of normal users of the CA cell and the equivalent number of normal users corresponding to CA users are obtained, a total number of users is determined according to the number of normal users and the equivalent number of normal users, and based on the total number of users for implementing load balancing calculation corresponding to each cell, a part of users of the cell whose total number of users is greater than a set threshold is balanced to a cell whose total number of users is less than the set threshold. By adopting the method, the number of the common users in the CA cell and the equivalent number of the common users corresponding to the CA users are used as the total number of the users for implementing the load balancing strategy, so that the actual user load capacity of each cell is more accurately calculated, and the number of the balanced users is more accurate when the load balancing strategy is implemented, thereby improving the balancing effect and 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 an entirely hardware embodiment, an entirely 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, CD-ROM, 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present invention without departing from the spirit or scope of the embodiments of the invention. Thus, if such modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to encompass such modifications and variations.
Claims (8)
1. A load balancing method based on the number of users is characterized by comprising the following steps:
determining a cell set for implementing a load balancing strategy based on the user load capacity of each cell;
when determining that at least one carrier aggregation CA cell exists in the cell set, respectively determining the number of CA users and the number of common users of each CA cell;
calculating the equivalent common user number corresponding to the CA user number of each CA cell according to the CA user number of each CA cell, determining the sum of the equivalent common user number corresponding to the CA user number of each CA cell and the common user number as the total user number of the corresponding CA cell for implementing load balancing, and determining the total user number of the corresponding non-CA cell for implementing load balancing according to the common user number of each non-CA cell in the cell set;
and balancing partial users of the cell with the total user number larger than the set threshold value to the cell with the total user number smaller than the set threshold value based on the total user number used for carrying out load balancing calculation corresponding to each CA cell and each non-CA cell.
2. The method of claim 1, wherein calculating the equivalent number of normal users corresponding to the number of CA users of the CA cell according to the number of CA users of the CA cell comprises:
if the CA cell is a main CA cell, directly determining the number of CA users of the CA cell as the number of equivalent ordinary users, wherein one CA user in the main CA cell is equivalent to one ordinary user;
if the CA cell is an auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
3. The method of claim 2, wherein the step of counting a ratio of the traffic of any CA user in the secondary CA cell to the traffic of the corresponding CA user in the primary CA cell to determine the equivalence coefficient comprises:
counting the proportion of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell;
counting the proportion of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell;
and aiming at any CA user, comparing the uplink traffic proportion and the downlink traffic proportion of the corresponding CA user, and determining the larger one as an equivalent coefficient.
4. The method according to any one of claims 1-3, wherein balancing the partial users of the cell with the total number of users greater than the set threshold to the cell with the total number of users less than the set threshold based on the total number of users for load balancing calculation corresponding to each CA cell and each non-CA cell comprises:
determining the average user number of the cell set based on the total user number used for load balancing calculation and corresponding to each cell in the cell set;
and balancing part of users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
5. A load balancing apparatus based on the number of users, comprising:
the first determining unit is used for determining a cell set for implementing a load balancing strategy based on the user load capacity of each cell;
a second determining unit, configured to determine, when at least one carrier aggregation CA cell exists in the cell set, the number of CA users and the number of normal users of each CA cell respectively;
a third determining unit, configured to calculate, according to the number of CA users in each CA cell, an equivalent number of normal users corresponding to the number of CA users in each CA cell, determine, as the total number of users in the corresponding CA cell for performing load balancing, a sum of the equivalent number of normal users corresponding to the number of CA users in each CA cell and the number of normal users, and determine, according to the number of normal users in each non-CA cell in the cell set, the total number of users in the corresponding non-CA cell for performing load balancing;
and the execution unit is used for balancing partial users of the cell with the total user number larger than the set threshold value to the cell with the total user number smaller than the set threshold value based on the total user number used for carrying out load balancing calculation corresponding to each CA cell and each non-CA cell.
6. The apparatus as claimed in claim 5, wherein when calculating the equivalent normal user number corresponding to the CA user number of the CA cell according to the CA user number of the CA cell, the second determining unit is configured to:
if the CA cell is a main CA cell, directly determining the number of CA users of the CA cell as the number of equivalent ordinary users, wherein one CA user in the main CA cell is equivalent to one ordinary user;
if the CA cell is an auxiliary CA cell, respectively counting the proportion of the traffic of each CA user in the CA cell to the traffic of the corresponding CA user in the main CA cell, determining an equivalent coefficient, determining an equivalent ordinary user corresponding to each CA user according to the equivalent coefficient corresponding to each CA user, and determining the sum of the number of the equivalent ordinary users corresponding to each CA user in the CA cell as the number of the equivalent ordinary users corresponding to the CA users in the CA cell.
7. The apparatus of claim 6, wherein when counting a ratio of traffic of any one CA user in a secondary CA cell in the secondary CA cell to traffic of a corresponding CA user in a primary CA cell, and determining an equivalent coefficient, the second determining unit is configured to:
counting the proportion of the uplink traffic of any CA user in the auxiliary CA cell to the uplink traffic of the corresponding CA user in the main CA cell;
counting the proportion of the downlink traffic of any CA user in the auxiliary CA cell to the downlink traffic of the corresponding CA user in the main CA cell;
and aiming at any CA user, comparing the uplink traffic proportion and the downlink traffic proportion of the corresponding CA user, and determining the larger one as an equivalent coefficient.
8. The apparatus according to any of claims 5-7, wherein when balancing partial users of a cell with a total number of users greater than a set threshold to a cell with a total number of users less than a set threshold based on a total number of users for load balancing calculation corresponding to each CA cell and each non-CA cell, the execution unit is configured to:
determining the average user number of the cell set based on the total user number used for load balancing calculation and corresponding to each cell in the cell set;
and balancing part of users of the cell with the total number of the users larger than the average number of the users to other cells with the total number of the users smaller than the average number of the users.
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