CN111093229A - Method, device, equipment and medium for determining load balancing parameters - Google Patents
Method, device, equipment and medium for determining load balancing parameters Download PDFInfo
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- CN111093229A CN111093229A CN201911353398.6A CN201911353398A CN111093229A CN 111093229 A CN111093229 A CN 111093229A CN 201911353398 A CN201911353398 A CN 201911353398A CN 111093229 A CN111093229 A CN 111093229A
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0055—Transmission or use of information for re-establishing the radio link
- H04W36/0058—Transmission of hand-off measurement information, e.g. measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/00837—Determination of triggering parameters for hand-off
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/16—Performing reselection for specific purposes
- H04W36/22—Performing reselection for specific purposes for handling the traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/08—Reselecting an access point
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Abstract
The invention discloses a method, a device, equipment and a medium for determining load balancing parameters. The method comprises the following steps: determining a source cell needing load balancing; calculating the number Nc of users which need to be migrated from a source cell and the maximum number Ns of users which can be accommodated by each adjacent cell; for each adjacent cell, determining the number n of users which can be migrated from the source cell to the adjacent cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition; calculating the number of users of a source cell to be migrated to each adjacent cell; and determining a reselection level offset value reselected from the source cell to each adjacent cell based on the number of users needing to be migrated to each adjacent cell by the source cell and the number n of users capable of migrating from the source cell to each adjacent cell in each level interval. According to the embodiment of the invention, the accuracy of load balancing parameter calculation can be improved.
Description
Technical Field
The present invention relates to the field of data services, and in particular, to a method, an apparatus, a device, and a medium for determining a load balancing parameter.
Background
In a mobile communication network, the number of terminals and the traffic flow in each sector are dynamically changed, and the service perception of a client is reduced due to the fact that the load of a single cell is too high. In this case, the capacity of the high-load cell may be expanded, and the user at the edge of the high-load cell may be migrated to the adjacent low-traffic cell.
In the prior art, by starting an automatic load balancing algorithm, a user in a high-load cell can move to an adjacent low-traffic cell more easily, but the accuracy of calculating load balancing parameters is low.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, a device, and a medium for determining a load balancing parameter, which can improve accuracy of load balancing parameter calculation.
In a first aspect, an embodiment of the present invention provides a method for determining a load balancing parameter, including:
determining a source cell needing load balancing;
calculating the number Nc of users which need to be migrated from the source cell and the maximum number Ns of users which can be accommodated by each adjacent cell based on the acquired feature information of the source cell and the feature information of each adjacent cell of the source cell;
for each adjacent cell, determining the number n of users which can be migrated from the source cell to the adjacent cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition;
calculating the number of users to be migrated from the source cell to each adjacent cell based on Nc, each Ns and the number n of users to be migrated from the source cell to each adjacent cell in each level interval;
and determining a reselection level offset value reselected from the source cell to each adjacent cell based on the number of users needing to be migrated to each adjacent cell by the source cell and the number n of users capable of migrating from the source cell to each adjacent cell in each level interval.
In a second aspect, an embodiment of the present invention provides a device for determining a load balancing parameter, including:
a source cell determining module, configured to determine a source cell that needs load balancing;
a first calculating module, configured to calculate, based on the obtained feature information of the source cell and the feature information of each neighboring cell of the source cell, a number Nc of users that the source cell needs to migrate out and a maximum number Ns of users that each neighboring cell can accommodate;
a first determining module, configured to determine, for each neighboring cell, a number n of users that can be migrated from a source cell to the neighboring cell in each level interval of a plurality of preset level intervals based on an obtained measurement report of each user in the source cell and a preset migration condition;
a second calculating module, configured to calculate, based on Nc, each Ns, and a number n of users that can migrate from the source cell to each neighboring cell in each level interval, a number of users that the source cell needs to migrate to each neighboring cell;
a second determining module, configured to determine a reselection level offset value reselected from the source cell to each neighboring cell based on the number of users that the source cell needs to migrate to each neighboring cell and the number n of users that can migrate from the source cell to each neighboring cell in each level interval.
In a third aspect, an embodiment of the present invention provides a device for determining a load balancing parameter, where the device includes: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method for determining load balancing parameters as provided by embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the method for determining load balancing parameters according to the embodiment of the present invention is implemented.
In the embodiment of the invention, the number Nc of users to be migrated from the source cell, the maximum number Ns of users that can be accepted by each adjacent cell and the number n of users that can be migrated from the source cell to the adjacent cell in each level interval are comprehensively considered, so that the reselection level offset value from the source cell to each adjacent cell is accurately calculated, the load migration can be rapidly converged, the load migration efficiency is improved, and the abnormal reselection switching between adjacent cells caused by blind tests is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method for determining load balancing parameters according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram illustrating a device for determining load balancing parameters according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for determining load balancing parameters according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
At present, in the adjustment process of adjusting a user of a source cell needing load balancing to an adjacent cell, the quality after user migration is not evaluated, the adjustment times are multiple, the timeliness is poor, and the steady state can be reached by multiple adjustments. In addition, the current adjustment judgment is lack of accurate calculation of overlapping coverage conditions among adjacent cells according to loads, so that the adjustment result is unpredictable. That is, currently, for load balancing of a high-load cell, the accuracy of determining the load balancing parameters is low.
Based on this, the embodiment of the present invention provides a method for determining load balancing parameters, which can improve the accuracy of determining the load balancing parameters. Fig. 1 is a flowchart illustrating a method for determining load balancing parameters according to an embodiment of the present invention. As shown in fig. 1, a method 100 for determining load balancing parameters in the embodiment of the present invention includes the following steps:
and S110, determining the source cell needing load balancing.
In the embodiment of the invention, the high-load cell, namely the source cell needing load balancing can be identified through the network element traffic statistical data center counted by the network element management system and according to the high-load cell judgment condition. The specific method for identifying the source cell that needs load balancing is not limited herein.
And S120, calculating the number Nc of users which need to be migrated from the source cell and the maximum number Ns of users which can be accommodated by each adjacent cell based on the acquired characteristic information of the source cell and the characteristic information of each adjacent cell of the source cell.
And S130, for each adjacent cell, determining the number n of users which can be migrated from the source cell to the adjacent cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and the preset migration condition.
And S140, calculating the number of users to be migrated from the source cell to each adjacent cell based on Nc, each Ns and the number n of users to be migrated from the source cell to each adjacent cell in each level interval.
S150, determining a reselection level offset value reselected from the source cell to each adjacent cell based on the number of users needing to be migrated to each adjacent cell by the source cell and the number n of users capable of migrating from the source cell to each adjacent cell in each level interval.
In the embodiment of the invention, the number Nc of users to be migrated from the source cell, the maximum number Ns of users that can be accepted by each adjacent cell and the number n of users that can be migrated from the source cell to the adjacent cell in each level interval are comprehensively considered, so that the reselection level offset value from the source cell to each adjacent cell is accurately calculated, the load migration can be rapidly converged, the load migration efficiency is improved, and the abnormal reselection switching between adjacent cells caused by blind tests is avoided.
In some embodiments of the invention, S120 comprises:
s1201, calculate Nc based on the first cell type of the source cell, the first bandwidth of the source cell, and the first number of users of the source cell.
In some embodiments, the characteristic information of the source cell includes a cell type of the source cell (i.e., a first cell type), a bandwidth of the source cell (i.e., a first bandwidth), and a current number of users of the source cell (i.e., a first number of users).
Before S1201, configuration data and traffic statistics data of a source cell need to be obtained, including a neighbor cell configuration table, a frequency point bandwidth configuration table, a handover reselection level configuration table, a connection user number statistics table, and the like. By using the configuration data of the source cell, the high load cell, i.e. the cell type of the source cell, and the bandwidth of the source cell can be identified. The number of current connected users of the source cell can be read from the traffic statistics.
In S1201, if the source cell is a cell based on a Time Division Duplex (TDD) system, when the first number of users Nrrc1 is greater than a first preset threshold a1, Nc is Nrrc1-a1 Bc1/20, and when Nrrc1 is less than or equal to a1, Nc is 0.
In S1201, if the source cell is a cell based on a Frequency Division Duplex (FDD) system, Nc is Nrrc1-a2 Bc1/20 when Nrrc1 is greater than a second preset threshold a2, and Nc is 0 when Nrrc1 is less than or equal to a 2.
In S1201, if the source cell is a cell based on a three-dimensional Multiple-input Multiple-Output (3D MIMO) system, Nc is Nrrc1 to A3 Bc1/20 when Nrrc1 is greater than a second preset threshold A3, and Nc is 0 when Nrrc1 is less than or equal to A3.
Wherein, Bc1 is the first bandwidth, A1< A2< A3.
As a specific example, see table 1, a1 ═ 200, a2 ═ 400, and A3 ═ 600.
TABLE 1
S1202, for each neighboring cell, calculating a maximum number Ns of users that can be received by the neighboring cell based on the second cell type of the neighboring cell, the second bandwidth of the neighboring cell, and the second number of users of the neighboring cell.
In the embodiment of the present invention, similar to S1201, for each neighboring cell of the source cell, the cell type of the neighboring cell, the bandwidth of the neighboring cell, and the current number of connected users of the neighboring cell may be identified by the acquired neighboring cell configuration data and traffic statistics data of the source cell.
In S1202, if the neighboring cell is a cell based on the time division duplex system, Ns is Nrrc2-a1 × Bc2/20 when the second number of users Nrrc2 is greater than the first preset threshold a1, and Ns is 0 when Nrrc2 is less than or equal to a 1.
In S1202, if the neighboring cell is a cell based on the frequency division duplex system, Ns ═ Nrrc2-a2 × Bc2/20 when Nrrc2 is greater than a second preset threshold a2, and Ns ═ 0 when Nrrc2 is less than or equal to a 2.
In S1202, if the neighboring cell is a cell based on the three-dimensional mimo system, Ns ═ Nrrc2-A3 × Bc2/20 when Nrrc2 is greater than a second preset threshold A3, and Ns ═ 0 when Nrrc2 is less than or equal to A3.
Wherein Bc2 is the second bandwidth, A1< A2< A3.
As a specific example, see table 2, a1 ═ 200, a2 ═ 400, and A3 ═ 600.
TABLE 2
In an embodiment of the present invention, S130 includes:
s1301, for each user, determining a target neighbor cell to which the user can migrate based on the measurement report of the user and a preset migration condition.
In the embodiment of the present invention, according to the configuration data of the source cell and the configuration data of the neighboring cells, it can be determined whether the source cell and each neighboring cell have the same frequency, that is, the source cell and each neighboring cell can be respectively used as a pair of cells to determine whether each pair of cells have the same frequency, so as to generate the same-frequency neighboring cell relation table of the source cell and the different-frequency neighboring cell relation table of the source cell.
In some embodiments of the present invention, for each user, based on a measurement report of the user, P neighbor cells corresponding to the user and meeting a preset migration condition are determined, where P is a positive integer greater than or equal to 1.
And if Q adjacent cells with different frequencies with the source cell exist in the P adjacent cells, taking the Q adjacent cells with the maximum level value in the adjacent cells with different frequencies with the source cell as the target adjacent cells.
And if the P adjacent cells are all adjacent cells with the same frequency as the source cell, taking the adjacent cell with the largest level value in the P adjacent cells as the target cell.
Wherein Q is a positive integer less than or equal to P.
That is, if a user measures a plurality of neighbor cells satisfying the preset migration condition, the inter-frequency neighbor cell is preferentially selected as a target neighbor cell to which the user can migrate, and the user is assigned to the neighbor cell with the strongest level measurement.
In an embodiment of the present invention, the preset migration condition includes:
and under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is the same as the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is smaller than or equal to a fourth preset threshold value. The first remainder is a remainder obtained by dividing the physical cell id of the source cell by 3, and the second remainder is a remainder obtained by dividing the physical cell id of the neighbor cell by 3.
As an example, the fourth preset threshold may be 0 db.
And under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is different from the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is less than or equal to a fifth preset threshold value. And the fourth preset threshold is greater than the fifth preset threshold.
As an example, the fifth preset threshold may be-6 db.
And under the condition that the adjacent cell and the source cell are different in frequency, the level value of the adjacent cell in the measurement report is greater than or equal to a sixth preset threshold, or the level value of the adjacent cell in the measurement report is greater than or equal to the level value of the source cell in the measurement report.
As an example, the sixth preset threshold may be-100 db.
S1302, for each user, determining a target level interval corresponding to the user based on the level value of the source cell and the level value of the target neighbor cell in the measurement report of the user, and adding 1 to the number of users that can migrate from the source cell to the target neighbor cell in the level interval to obtain the number n of users that can migrate from the source cell to the neighbor cell in each level interval.
In the embodiment of the present invention, the target level difference between the source cell and the target neighbor cell may be calculated based on the level value of the source cell and the level value of the target neighbor cell in the measurement report of the user. And the level interval to which the target level difference value belongs is the target level interval corresponding to the user.
That is to say, the number of users that can migrate out of each neighboring cell in different level intervals can be calculated according to the reference signal Receiving level (RSRP) of the source cell and the RSRP measurement file of the neighboring cell in the measurement report of the source cell, in combination with the preset migration condition. That is, for each neighboring cell, a correspondence between the level interval and the number of users that can migrate from the source cell to the neighboring cell can be generated.
As an example, table 3 shows a relation table between a level interval corresponding to a neighboring cell and a number of users that a source cell can migrate to the neighboring cell, that is, a number of users that the source cell can migrate to the neighboring cell under each level interval.
TABLE 3
| Level interval | R1 | R2 | R3 | R4 | R5 | …… | Rg | Nt |
| Number of users | n1 | n2 | n3 | n4 | n5 | …… | ng | n1+n2+n3…+ng |
Wherein Rj represents a level interval, j is a positive integer which is greater than or equal to 1 and less than or equal to g, g is a positive integer, and g is the number of the level intervals. Wherein the value of g can be set empirically.
As an example, each level interval has a range of 3db (decibel), e.g., R1 is [0db, 3db ], R2 is [3db, 6db), and so on, Rd is [ (3g-3) db, 3 gdb).
Where Nt is the sum of the number of users that the source cell can migrate to the neighboring cell in each level interval.
In some embodiments of the invention, S140 comprises:
and S1401, for each adjacent cell, adding the number n of users which can be migrated from the source cell to the adjacent cell in each level interval to obtain the total number Nt of adjustable users corresponding to the adjacent cell.
S1402, for the ith neighboring cell, calculating a number Ni of users to be migrated from the source cell to the ith neighboring cell by using the following expression:
where Nsi is the maximum number of users that the ith neighbor cell can accommodate, Nti is the total number of adjustable users corresponding to the ith neighbor cell, and m is the total number of neighbor cells corresponding to the source cell.
Wherein min (Nsi, Nti) represents the minimum of Nsi and Nti.
In order to improve the calculation efficiency, m may be the number of neighbor cells having Ns greater than 0.
In this embodiment of the present invention, in S150, for the ith neighboring cell, after determining the number Ni of users that the source cell needs to migrate to the neighboring cell, the first x level intervals that satisfy Ni may be calculated according to the corresponding relationship between the level interval corresponding to the cell and the number Ni of users that the source cell can migrate to the neighboring cell, that is, the number of users that the source cell can migrate to the cell under each level interval.
For the ith neighbor cell, Ni needs to satisfy: n is1+n2+n3…+nxNot less than Ni, and n1+n2+n3…+nx-1<Ni。
For example, see table 3, if Ni ═ 10, n1＝3，n2＝4，n3＝3，n45. Since n is1+n2+n3When Ni is equal to 10, the first 3 level sections satisfy Ni. The maximum value 9db of the level interval corresponding to Rx is used as the reselection level offset value for the source cell to reselect to the neighboring cell.
In the embodiment of the present invention, for each neighboring cell, after determining the reselection level offset value reselected from the source cell to the neighboring cell, the handover reselection level configured in the handover reselection policy is queried, and the handover reselection level threshold corresponding to the neighboring cell is adjusted by subtracting the reselection level offset value from the handover reselection level. And after the reselection level threshold corresponding to each adjacent cell is adjusted, the source cell completes the user migration according to the calculated number of users needing to migrate to each adjacent cell, namely completing the load balance.
Fig. 2 is a schematic structural diagram illustrating an apparatus for determining load balancing parameters according to an embodiment of the present invention. As shown in fig. 2, the apparatus 200 for determining load balancing parameters includes:
a source cell determining module 210, configured to determine a source cell that needs load balancing.
A first calculating module 220, configured to calculate, based on the obtained feature information of the source cell and the feature information of each neighboring cell of the source cell, a number Nc of users that the source cell needs to migrate out from and a maximum number Ns of users that each neighboring cell can accommodate.
A first determining module 230, configured to determine, for each neighboring cell, a number n of users that can be migrated from the source cell to the neighboring cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition.
A second calculating module 240, configured to calculate, based on Nc, each Ns, and a number n of users that can migrate from the source cell to each neighboring cell in each level interval, a number of users that the source cell needs to migrate to each neighboring cell.
A second determining module 250, configured to determine a reselection level offset value reselected from the source cell to each neighboring cell based on the number of users that the source cell needs to migrate to each neighboring cell and the number n of users that can migrate from the source cell to each neighboring cell in each level interval.
In the embodiment of the invention, the number Nc of users to be migrated from the source cell, the maximum number Ns of users that can be accepted by each adjacent cell and the number n of users that can be migrated from the source cell to the adjacent cell in each level interval are comprehensively considered, so that the reselection level offset value from the source cell to each adjacent cell is accurately calculated, the load migration can be rapidly converged, the load migration efficiency is improved, and the abnormal reselection switching between adjacent cells caused by blind tests is avoided.
In some embodiments of the present invention, the first calculation module 220 comprises:
a first calculating unit, configured to calculate Nc based on the first cell type of the source cell, the first bandwidth of the source cell, and the first number of users of the source cell.
And a second calculating unit, configured to calculate, for each neighboring cell, a maximum number Ns of users that can be accommodated by the neighboring cell based on the second cell type of the neighboring cell, the second bandwidth of the neighboring cell, and the second number of users of the neighboring cell.
In some embodiments of the invention, the first computing unit is to:
if the source cell is a cell based on a time division duplex system, if the first number of users Nrrc1 is greater than a first preset threshold a1, Nc ═ Nrrc1-a1 × Bc1/20, and if Nrrc1 is less than or equal to a1, Nc ═ 0;
if the source cell is a cell based on a frequency division duplex system, if Nrrc1 is greater than a second preset threshold a2, Nc is Nrrc1-a2 Bc1/20, and if Nrrc1 is less than or equal to a2, Nc is 0;
if the source cell is a cell based on a three-dimensional multiple input and output system, if the Nrrc1 is greater than a second preset threshold A3, Nc is Nrrc1-A3 Bc1/20, and if Nrrc1 is less than or equal to A3, Nc is 0;
wherein, Bc1 is the first bandwidth, A1< A2< A3.
In some embodiments of the invention, the second computing unit is to:
if the neighboring cell is a cell based on a time division duplex system, in the case that the second number of users Nrrc2 is greater than a first preset threshold a1, Ns is Nrrc2-a1 Bc2/20, and in the case that Nrrc2 is less than or equal to a1, Ns is 0;
if the neighboring cell is a cell based on a frequency division duplex system, Ns is equal to Nrrc2-a2 × Bc2/20 in the case that Nrrc2 is greater than a second preset threshold a2, and Ns is equal to 0 in the case that Nrrc2 is less than or equal to a 2;
if the adjacent cell is a cell based on a three-dimensional multiple input and output system, in the case that the Nrrc2 is greater than a second preset threshold value A3, Ns is equal to Nrrc2-A3 × Bc2/20, and in the case that the Nrrc2 is less than or equal to A3, Ns is equal to 0;
wherein Bc2 is the second bandwidth, A1< A2< A3.
In some embodiments of the present invention, the first determining module 230 comprises:
the first determining unit is used for determining a target neighbor cell which can be migrated by the user based on the measurement report of the user and a preset migration condition for each user.
The first processing unit is configured to determine, for each user, a target level interval corresponding to the user based on a level value of a source cell and a level value of a target neighbor cell in a measurement report of the user, and add 1 to a number of users that can migrate from the source cell to the target neighbor cell in the level interval, so as to obtain a number n of users that can migrate from the source cell to each neighbor cell in each level interval.
In some embodiments of the invention, the first determination unit is to:
for each user, determining P adjacent cells which meet a preset migration condition and correspond to the user based on a measurement report of the user, wherein P is a positive integer greater than or equal to 1;
if Q adjacent cells with different frequencies with the source cell exist in the P adjacent cells, taking the Q adjacent cells with the maximum level value in the adjacent cells with different frequencies with the source cell as target adjacent cells;
if the P adjacent cells are all adjacent cells with the same frequency as the source cell, taking the adjacent cell with the largest level value in the P adjacent cells as a target cell;
wherein Q is a positive integer less than or equal to P.
In some embodiments of the invention, the preset migration conditions include:
under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is the same as the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is smaller than or equal to a fourth preset threshold value; the first remainder is a remainder obtained by dividing the physical cell id of the source cell by 3, and the second remainder is a remainder obtained by dividing the physical cell id of the neighbor cell by 3.
Under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is different from the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is smaller than or equal to a fifth preset threshold value; and the fourth preset threshold is greater than the fifth preset threshold.
And under the condition that the adjacent cell and the source cell are different in frequency, the level value of the adjacent cell in the measurement report is greater than or equal to a sixth preset threshold, or the level value of the adjacent cell in the measurement report is greater than or equal to the level value of the source cell in the measurement report.
In some embodiments of the present invention, the second calculation module 240 comprises:
and the adjustable user total number determining unit is used for adding the number n of users which can be migrated from the source cell to the adjacent cell in each level interval to obtain the adjustable user total number Nt corresponding to the adjacent cell.
And a third calculating unit, configured to calculate, for the ith adjacent cell, a user number Ni that the source cell needs to migrate to the ith adjacent cell by using expression (1).
Where Nsi is the maximum number of users that the ith neighbor cell can accommodate, Nti is the total number of adjustable users corresponding to the ith neighbor cell, and m is the total number of neighbor cells corresponding to the source cell.
Other details of the apparatus for determining load balancing parameters according to the embodiment of the present invention are similar to the method according to the embodiment of the present invention described above with reference to fig. 1, and are not described herein again.
The method and apparatus for determining load balancing parameters according to the embodiments of the present invention described in conjunction with fig. 1 to fig. 2 may be implemented by a device for determining load balancing parameters. Fig. 3 is a schematic diagram illustrating a hardware structure 300 of a load balancing parameter determination device according to an embodiment of the present invention.
As shown in fig. 3, the apparatus 300 for determining load balancing parameters in this embodiment includes: the device comprises a processor 301, a memory 302, a communication interface 303 and a bus 310, wherein the processor 301, the memory 302 and the communication interface 303 are connected through the bus 310 and complete mutual communication.
In particular, the processor 301 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured as one or more integrated circuits implementing an embodiment of the present invention.
Memory 302 may include mass storage for data or instructions. By way of example, and not limitation, memory 302 may include an HDD, a floppy disk drive, flash memory, an optical disk, a magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive or a combination of two or more of these. Memory 302 may include removable or non-removable (or fixed) media, where appropriate. Memory 302 may be internal or external to load balancing parameter determination apparatus 300, where appropriate. In a particular embodiment, the memory 302 is a non-volatile solid-state memory. In a particular embodiment, the memory 302 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present invention.
The bus 310 comprises hardware, software, or both, coupling the components of the load balancing parameter determining apparatus 300 to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 310 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.
That is, the load balancing parameter determination apparatus 300 shown in fig. 3 may be implemented to include: a processor 301, a memory 302, a communication interface 303, and a bus 310. The processor 301, memory 302 and communication interface 303 are coupled by a bus 310 and communicate with each other. The memory 302 is used to store program code; the processor 301 executes a program corresponding to the executable program code by reading the executable program code stored in the memory 302, so as to execute the method for determining the load balancing parameter in any embodiment of the present invention, thereby implementing the method and apparatus for determining the load balancing parameter described in conjunction with fig. 1 to 3.
The embodiment of the invention also provides a computer storage medium, wherein the computer storage medium is stored with computer program instructions; the computer program instructions, when executed by a processor, implement the method for determining load balancing parameters provided by embodiments of the present invention.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As will be apparent to those skilled in the art, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (13)
1. A method for determining load balancing parameters, the method comprising:
determining a source cell needing load balancing;
calculating the number Nc of users which need to be migrated from the source cell and the maximum number Ns of users which can be accommodated by each adjacent cell based on the acquired feature information of the source cell and the feature information of each adjacent cell of the source cell;
for each adjacent cell, determining the number n of users which can be migrated from the source cell to the adjacent cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition;
calculating the number of users to be migrated from the source cell to each adjacent cell based on Nc, each Ns and the number n of users to be migrated from the source cell to each adjacent cell in each level interval;
and determining a reselection level offset value reselected from the source cell to each adjacent cell based on the number of users to be migrated to each adjacent cell by the source cell and the number n of users capable of migrating from the source cell to each adjacent cell in each level interval.
2. The method according to claim 1, wherein the calculating a number Nc of users that the source cell needs to migrate out and a maximum number Ns of users that each of the neighboring cells can accommodate based on the obtained characteristic information of the source cell and the characteristic information of each of the neighboring cells of the source cell comprises:
calculating Nc based on the first cell type of the source cell, the first bandwidth of the source cell and the first number of users of the source cell;
for each of the neighboring cells, calculating a maximum number Ns of users that the neighboring cell can accommodate based on the second cell type of the neighboring cell, the second bandwidth of the neighboring cell, and the second number of users of the neighboring cell.
3. The method of claim 2, wherein the calculating Nc based on the first cell type of the source cell, the first bandwidth of the source cell, and the first number of users of the source cell comprises:
if the source cell is a cell based on a time division duplex system, if the first number of users Nrrc1 is greater than a first preset threshold a1, Nc ═ Nrrc1-a1 × Bc1/20, and if Nrrc1 is less than or equal to a1, Nc ═ 0;
if the source cell is a cell based on a frequency division duplex system, if Nrrc1 is greater than a second preset threshold a2, Nc is Nrrc1-a2 Bc1/20, and if Nrrc1 is less than or equal to a2, Nc is 0;
if the source cell is a cell based on a three-dimensional multiple input and output system, if Nrrc1 is greater than a second preset threshold A3, Nc ═ Nrrc1-A3 × Bc1/20, and if Nrrc1 is less than or equal to A3, Nc ═ 0;
wherein Bc1 is the first bandwidth, A1< A2< A3.
4. The method of claim 2, wherein the calculating the maximum number of users Ns that can be accommodated by the neighboring cell based on the second cell type of the neighboring cell, the second bandwidth of the neighboring cell, and the second number of users of the neighboring cell comprises:
if the neighboring cell is a cell based on a time division duplex system, in the case that the second number of users Nrrc2 is greater than a first preset threshold a1, Ns is Nrrc2-a1 × Bc2/20, and in the case that Nrrc2 is less than or equal to a1, Ns is 0;
if the neighboring cell is a cell based on a frequency division duplex system, Ns is Nrrc2-a2 Bc2/20 in case that Nrrc2 is greater than a second preset threshold a2, and Ns is 0 in case that Nrrc2 is less than or equal to a 2;
if the neighboring cell is a cell based on a three-dimensional multiple input and output system, in the case that Nrrc2 is greater than a second preset threshold A3, Ns is Nrrc2-A3 Bc2/20, and in the case that Nrrc2 is less than or equal to A3, Ns is 0;
wherein Bc2 is the second bandwidth, A1< A2< A3.
5. The method according to claim 1, wherein the determining, for each of the neighboring cells, a number n of users that can be migrated from the source cell to the neighboring cell in each of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition, comprises:
for each user, determining a target neighbor cell which the user can migrate based on a measurement report of the user and a preset migration condition;
for each user, determining a target level interval corresponding to the user based on the level value of the source cell and the level value of the target neighbor cell in the measurement report of the user, and adding 1 to the number of users, which can migrate from the source cell to the target neighbor cell, in the level interval to obtain the number n of users, which can migrate from the source cell to each neighbor cell, in each level interval.
6. The method according to claim 5, wherein the determining, for each of the users, a target neighbor cell to which the user can migrate based on the measurement report of the user and a preset migration condition comprises:
for each user, determining P adjacent cells which meet the preset migration condition and correspond to the user based on the measurement report of the user, wherein P is a positive integer greater than or equal to 1;
if Q neighbor cells with different frequencies from the source cell exist in the P neighbor cells, taking the Q neighbor cells with the maximum level value in the neighbor cells with different frequencies from the source cell as the target neighbor cells;
if the P adjacent cells are all adjacent cells with the same frequency as the source cell, taking the adjacent cell with the largest level value in the P adjacent cells as the target cell;
wherein Q is a positive integer less than or equal to P.
7. The method according to claim 6, wherein the preset migration condition comprises:
under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is the same as the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is smaller than or equal to a fourth preset threshold value; wherein the first remainder is a remainder obtained by dividing the physical cell identity of the source cell by 3, and the second remainder is a remainder obtained by dividing the physical cell identity of the neighbor cell by 3;
under the condition that the adjacent cell and the source cell have the same frequency and the first remainder is different from the second remainder, the difference value between the level value of the source cell in the measurement report and the level value of the adjacent cell in the measurement report is smaller than or equal to a fifth preset threshold value; wherein the fourth preset threshold is greater than the fifth preset threshold;
and under the condition that the adjacent cell and the source cell are different in frequency, the level value of the adjacent cell in the measurement report is greater than or equal to a sixth preset threshold, or the level value of the adjacent cell in the measurement report is greater than or equal to the level value of the source cell in the measurement report.
8. The method according to claim 1, wherein calculating the number of users to be migrated from the source cell to each of the neighbor cells based on Nc, each Ns, and the number n of users that can be migrated from the source cell to each of the neighbor cells per level interval comprises:
adding the number n of users which can be migrated from the source cell to the adjacent cell in each level interval to obtain the total number Nt of adjustable users corresponding to the adjacent cell for each adjacent cell;
for the ith adjacent cell, calculating the number Ni of users to be migrated from the source cell to the ith adjacent cell by using the following expression:
where Nsi is the maximum number of users that an ith neighboring cell can accommodate, Nti is the total number of adjustable users corresponding to the ith neighboring cell, and m is the total number of neighboring cells corresponding to the source cell.
9. An apparatus for determining load balancing parameters, the apparatus comprising:
a source cell determining module, configured to determine a source cell that needs load balancing;
a first calculating module, configured to calculate, based on the obtained feature information of the source cell and the feature information of each neighboring cell of the source cell, a number Nc of users that the source cell needs to migrate out from and a maximum number Ns of users that each neighboring cell can accommodate;
a first determining module, configured to determine, for each neighboring cell, a number n of users that can migrate from the source cell to the neighboring cell in each level interval of a plurality of preset level intervals based on the obtained measurement report of each user in the source cell and a preset migration condition;
a second calculating module, configured to calculate, based on Nc, each Ns, and a number n of users that can migrate from the source cell to each neighboring cell in each level interval, a number of users that the source cell needs to migrate to each neighboring cell;
a second determining module, configured to determine a reselection level offset value reselected from the source cell to each of the neighboring cells based on a number of users that the source cell needs to migrate to each of the neighboring cells and a number n of users that can migrate from the source cell to each of the neighboring cells in each level interval.
10. The apparatus of claim 9, wherein the first computing module comprises:
a first calculating unit, configured to calculate Nc based on a first cell type of the source cell, a first bandwidth of the source cell, and a first number of users of the source cell;
a second calculating unit, configured to calculate, for each neighboring cell, a maximum number of users Ns that can be accommodated by the neighboring cell based on the second cell type of the neighboring cell, the second bandwidth of the neighboring cell, and the second number of users of the neighboring cell.
11. The apparatus of claim 9, wherein the second computing module comprises:
an adjustable user total number determining unit, configured to add, for each neighboring cell, a number n of users that can migrate from the source cell to the neighboring cell in each level interval, to obtain an adjustable user total number Nt corresponding to the neighboring cell;
a third calculating unit, configured to calculate, for an ith neighboring cell, a number Ni of users that the source cell needs to migrate to the ith neighboring cell by using the following expression:
where Nsi is the maximum number of users that an ith neighboring cell can accommodate, Nti is the total number of adjustable users corresponding to the ith neighboring cell, and m is the total number of neighboring cells corresponding to the source cell.
12. An apparatus for determining load balancing parameters, the apparatus comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a method of determining load balancing parameters according to any one of claims 1 to 8.
13. A computer storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of determining load balancing parameters according to any one of claims 1 to 8.
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