CN106714239B - Method and system for automatically balancing LTE network load - Google Patents
Method and system for automatically balancing LTE network load Download PDFInfo
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Abstract
The invention discloses a method and a system for automatically balancing LTE network load, belonging to the field of mobile communication. The method comprises the following steps: calculating the key busy hour indexes of each network cell, and screening out high-load cells according to a threshold; generating an adjusting scheme for the high-load cell according to an algorithm; executing the adjustment scheme and returning an execution result; and intelligently evaluating the cells in which the adjustment scheme is successfully executed. The invention supports the optimization and load balancing of cross-network and cross-equipment manufacturers, and can save a large amount of labor cost and greatly improve the network optimization effect compared with the traditional manual optimization.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method and a system for automatically balancing LTE network load.
Background
Along with the 4G network construction, the number of users gradually increases, and the requirement on the network service quality is high in a hot spot area with highly aggregated telephone traffic due to user concentration and high telephone traffic. In high-traffic hot spot areas, the high demand of the user is not necessarily effectively guaranteed. Due to the fact that the radius of the cell is reduced, the phenomenon that users are not distributed uniformly is serious, the load of a certain cell is heavy, the load of a neighboring cell is small, and the high-load cell can switch the UE at the edge of the cell to the neighboring cell under the condition, so that the load balance among LTE cells is achieved, the system capacity is maximized, the user experience of the high-load cell is improved, and the network performance is optimized. At present, the problem that optimization personnel need to analyze a large amount of statistical data every day to adjust parameters is solved, and the following problems exist:
ductility at problem treatment: optimization personnel can only analyze through historical statistics, indexes are continuously deteriorated for a long time after a network optimization engineer finds a high-load cell, and timely solution of problems cannot be guaranteed.
Data analysis mass properties: the optimizer needs to analyze and monitor the statistical data of each time interval and repeatedly analyze a large amount of performance statistical data.
Long-term human input: the randomness of the user distribution causes the randomness of the high-load cell, so the solution of the high-load cell is a long-term process, and the fixed investment is needed, and the cost of the personnel is high.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a method and a system for automatically balancing LTE network loads, which can realize the automatic balancing of the LTE network loads, monitor high-load cells in real time and adjust parameters to achieve the effect of load sharing. Human resources are saved, network capacity and quality are improved, and the utilization rate of network resources is optimized.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a method for automatically balancing LTE network load comprises the following steps:
(1) calculating the key busy hour indexes of each network cell, and screening out high-load cells according to a threshold;
(2) generating an adjusting scheme for the high-load cell according to an algorithm;
(3) executing the adjustment scheme and returning an execution result;
(4) and intelligently evaluating the cells in which the adjustment scheme is successfully executed.
Further, according to the method for automatically balancing the load of the LTE network as described above, the step (1) includes the following sub-steps:
(1-1) acquiring parameter information of each network cell in an area to be optimized, and collecting performance statistical data of each network cell according to set time granularity;
(1-2) screening out high-load cells according to conditions according to the parameter information and the performance statistical data of each network cell; the conditions must include the following conditions two, three, and include one of the conditions one or four:
the first condition is as follows: the maximum value of the number of RRC connections is greater than a threshold value;
and a second condition: the average utilization rate of the uplink PRB, the average utilization rate of the downlink PRB, the effective RRC connection average number, the number of bytes of the uplink service of the air interface and the number of bytes of the downlink service of the air interface meet the threshold and the logical relationship;
and (3) carrying out a third condition: the adjustment cell is an outdoor cell;
and a fourth condition: the adjusting cell has a pilot frequency adjacent cell.
Further, according to the method for automatically balancing the load of the LTE network, when the key busy hour index of each network cell is calculated in step (1), performance statistics data needs to be calculated to determine a busy hour period, where the busy hour is defined as follows: and (3) determining the busy time interval according to the uplink byte number of the cell user plane and the maximum downlink byte number of the cell user plane if a plurality of time intervals exist.
Further, according to the method for automatically balancing LTE network load as described above, the average uplink PRB utilization rate is 100% of the average uplink PUSCH PRB occupancy rate/average uplink PUSCH PRB availability rate;
the average utilization rate of downlink PRBs is equal to the average occupied number of downlink PDSCH PRBs/the average available number of downlink PDSCH PRBs is equal to 100%;
the method for determining the pilot frequency adjacent cell in the adjusting cell comprises the following steps: and different pilot frequency points different from the current cell frequency points exist in the pilot frequency adjacent frequency point list.
Further, according to the method for automatically balancing the load of the LTE network as described above, the step (2) includes the following sub-steps:
(2-1) starting a load balancing execution strategy;
(2-2) judging and setting a co-coverage cell;
(2-3) polling and adjusting pilot frequency load key parameters;
(2-4) adjusting the reselection priority of the neighboring cell;
and (2-5) adjusting the timer.
Further, according to the method for automatically balancing the load of the LTE network, the starting of the load balancing execution strategy includes turning on a load balancing switch, configuring pilot frequency load balancing parameters, configuring pilot frequency points for load balancing, configuring idle state selection frequency point strategy parameters, configuring an event of a load balancing a4, and configuring a T320 timer for load balancing.
Further, according to the method for automatically balancing the loads of the LTE network, the configured pilot frequency load balancing parameters include a load balancing trigger mode, a pilot frequency load balancing user number threshold, a load balancing user number offset, a maximum load balancing switched-out user number, a load balancing user selection PRB threshold, a user number difference threshold, a pilot frequency load balancing transfer UE type, a pilot frequency idle MLB user number threshold, a pilot frequency load evaluation period, a load balancing frequency point selection policy, a load balancing user selection punishment timer, a load balancing neighbor range, an idle UE selection frequency point range, a load balancing target frequency point identifier, a load balancing frequency point priority, an idle UE selection frequency point policy, a pilot frequency RSRP trigger threshold based on loads, and a4 measurement trigger type setting.
Further, according to the method for automatically balancing the load of the LTE network, the determining and setting of the co-coverage cell includes determining a co-sited or co-sited inter-frequency neighboring cell and defining parameters of the neighboring cell; the co-sited cells are judged through the same ENODEBID, and the co-sited cells are judged through the longitude and latitude.
Further, according to the method for automatically balancing LTE network load as described above, the polling adjustment on the inter-frequency load key parameter includes:
(2-3-1) adjusting the threshold of the number of pilot frequency load balancing users;
(2-3-2) adjusting the threshold of the number of pilot frequency idle state MLB users;
(2-3-3) adjusting the maximum number of switched-out users in load balance;
and (2-3-4) adjusting the pilot frequency load evaluation period.
Further, according to the method for automatically balancing LTE network load, the specific adjustment manner for polling and adjusting the key parameters of the inter-frequency load is as follows:
(2-3-1) adjusting the threshold of the number of users in pilot frequency load balancing
Judging the threshold of the number of connected users: if the pilot frequency load balancing user number threshold is greater than 45, the pilot frequency load balancing user number threshold is reduced by 10;
(2-3-2) adjusting the threshold of the number of pilot frequency idle state MLB users;
judging the threshold of the number of pilot frequency idle state MLB users: if the pilot frequency idle state MLB user number threshold is greater than 45, subtracting 10 from the pilot frequency idle state MLB user number threshold;
(2-3-3) adjusting the maximum number of switching-out users in load balancing
Judging the maximum number of switched-out users in load balance, and adding 5 to the maximum number of switched-out users in load balance if the maximum number of switched-out users in load balance is less than 20;
(2-3-4) adjusting the pilot frequency load evaluation period:
and judging the pilot frequency load evaluation period, and if the pilot frequency load evaluation period is greater than 6, subtracting 2 from the pilot frequency load evaluation period.
Further, according to the method for automatically balancing LTE network load as described above, the adjusting of the reselection priority of the neighboring cell includes:
judging the priority: if the reselection priority of the service cell is greater than the reselection priority of the pilot frequency point, the modification mode is as follows: the priority of the pilot frequency cell is modified to be the same as the priority of the current service cell; modifying the priority of the pilot frequency cell; and modifying the priority of the pilot frequency adjacent frequency points defined by the current cell.
Further, according to the method for automatically balancing LTE network load as described above, in step (2-4), the method for determining that the serving cell reselection priority is greater than the pilot frequency point reselection priority is as follows: the parameter cell reselection priority in the parameter table CELLRESEL is greater than the parameter cell reselection priority of the pilot frequency point in the pilot frequency adjacent frequency point table.
Further, according to the method for automatically balancing LTE network load as described above, the adjusting the timer includes:
(2-5-1) adjusting a UE inactivity timer
Judging the current cell, and if the inactivity timer of the UE of the current cell is more than or equal to 10, adjusting the inactivity timer to be 8 seconds;
(2-5-2) adjusting T320 timer for load balancing
It is determined that if the T320 timer for load balancing of the current cell is less than 20, then the adjustment is 20 minutes.
Further, according to the method for automatically balancing the load of the LTE network, the execution result includes an issuing result and a final execution result, wherein the issuing result includes all issuing, all non-issuing, and partial issuing; the final execution result includes all success, partial success, and all failure.
Further, according to the method for automatically balancing LTE network load as described above, the intelligently evaluating the adjustment cell includes evaluating a load index and a performance statistic index.
According to another aspect of the present invention, there is also provided a system for automatically balancing LTE network load, including the following modules:
the cell screening module is used for calculating the key busy hour indexes of each network cell and screening out high-load cells according to a threshold;
the strategy configuration module is used for generating an adjustment scheme for the high-load cell according to an algorithm;
the instruction generation module executes the adjustment scheme and returns an execution result;
and the intelligent evaluation module is used for carrying out intelligent evaluation on the cell successfully executed by the adjustment scheme.
The invention has the beneficial effects that: the method and the system support the automatic balance evaluation of the LTE network load; supporting parameter adjustment at a cell level; a large amount of labor cost is saved, the cost performance is high, and uninterrupted optimization service can be guaranteed; the high-load cell is adjusted in time, so that the load of the pilot frequency macro station cell is automatically balanced, and the proportion of the high-load cell is reduced; optimizing the utilization rate of network resources; load sharing of a low-load cell is carried out, and network resource utilization rate is prompted; the method and the system have controllable and obvious optimization and load sharing effects.
Drawings
Fig. 1 is a flowchart of a method and a system for automatically balancing LTE network load according to an embodiment;
fig. 2 is a block diagram of a method and a system for automatically balancing LTE network load according to an embodiment.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description.
Fig. 1 illustrates an LTE network load automatic balancing method and system provided in an embodiment of the present invention, where the method may include the following steps:
step S1: parameter performance data is collected, high-load cells are screened, and the high-load cells and key performance indexes are added into a screening result table.
In this embodiment, the high-load cell is a high-load cell of an LTE network.
For all the obtained cells, firstly, all key indexes related to screening conditions are calculated, a formula is defined according to a specification, and the high-load cells meeting the screening conditions are added into a screening result table to serve as preliminarily determined energy-saving cells.
In this embodiment, the screening index calculation method specifically includes:
(1) acquiring parameter information of each network cell in an area to be optimized, and acquiring performance statistical data of each network cell according to set time granularity;
(2) screening out high-load cells according to conditions according to the parameter information and the performance statistical data of each network cell;
the first condition is as follows: the maximum value of the number of RRC connections is greater than a threshold value;
and a second condition: the average utilization rate of the uplink PRB, the average utilization rate of the downlink PRB, the effective RRC connection average number, the number of bytes of the uplink service of the air interface and the number of bytes of the downlink service of the air interface meet the threshold and the logical relationship.
And (3) carrying out a third condition: the adjustment cell is an outdoor cell;
and a fourth condition: the adjusting cell has a pilot frequency adjacent cell.
The logical relationship is (condition 1 or condition 4) and condition 2 and condition 3.
For this embodiment, the threshold may be set as follows:
1. maximum RRC connection number > 200;
2. the coverage type: outdoors;
3. a pilot frequency adjacent cell is provided;
4. (the average utilization rate of uplink PRB is more than 50% or the average utilization rate of downlink PRB is more than 50%) and (the effective RRC connection average is more than 30) and (the number of bytes of uplink service at air interface is more than 1000MB or the number of bytes of downlink service at air interface is more than 5000 MB);
the logical relationship is (condition 1 or condition 4) and condition 2 and condition 3.
After the high load cell screening is completed, the cells are added to a screening result table to be used as candidate cells generated by the scheme in the following.
In this embodiment, after obtaining the high-load cell list, the method further includes updating the high-load cell list in real time in a manner of obtaining a black-and-white cell name list in the area to be optimized and deleting the black-and-white cells in the high-load cell list; the black and white cell name list adopts the existing black and white cell name list in the existing network, the black cell mainly comprises a high-level alarm cell, a cell with poor KPI index and the like, and the white cell refers to a manually set cell which cannot be closed.
Step S2: generating an adjustment scheme for the screened high-load cells according to the algorithm team, and adding the result to an adjustment scheme list; the specific adjustment scheme is as follows:
1. turn-on load balancing
(1) Starting a pilot frequency load balancing switch;
(2) configuring load balancing parameters (differentiating bandwidth);
(3) configuring load balancing pilot frequency points;
(4) configuring an idle state selection frequency point strategy parameter;
(5) configuring a load balancing a4 event;
(6) configuring a T320 timer;
(7) setting co-coverage (co-station, co-address) pilot frequency adjacent cell overlapping coverage parameters;
2. adjusting the user number threshold of pilot frequency load balancing:
if the pilot frequency load balancing user number threshold is greater than 45, the pilot frequency load balancing user number threshold is reduced by 10;
3. adjusting the user number threshold of the different-frequency idle MLB:
if the user number threshold of the different-frequency idle state MLB is greater than 45, subtracting 10 from the user number threshold of the different-frequency idle state MLB;
4. adjusting the maximum number of switched-out users for load balancing
If the maximum switching-out user number in load balancing is less than 20, adding 5 to the maximum switching-out user number in load balancing;
5. adjusting the pilot frequency load evaluation period: when the pilot frequency load evaluation period (second) >6, subtracting 2 from the pilot frequency load evaluation period (second)
6. Adjusting the user number difference threshold: when the difference threshold of the number of users is more than 5, decreasing by 3 each time;
7. adjusting the priority of the co-coverage pilot frequency cell;
8. adjusting the UE inactivity timer, namely judging the current cell, and if the UE inactivity timer of the current cell is more than or equal to 10, adjusting the time to be 8 seconds;
9. adjusting the T320 timer: if the T320 timer for load balancing of the current cell is less than 20, the adjustment is 20 minutes.
In this example, configuring the load balancing parameter requires distinguishing the bandwidth for parameter setting, because the F2 frequency band in the LTE networking currently uses 10M bandwidth, which corresponds to a difference in parameter setting. The 2-9 strategy is a polling adjustment strategy, and if the cell is continuously highly loaded, the key parameters are adjusted for many times.
It should be noted that the above-mentioned scheme is only an embodiment, and in practical application, the step size may be adjusted as needed.
Step S3: and according to the execution setting, executing the instruction at regular time and returning an execution result, and adding the result into an instruction execution result table.
The setting can be performed manually and immediately or periodically by the system, depending on the configuration result of the user. And the execution result also comprises a distribution result and a final execution result. The issuing result comprises all issuing, all non-issuing and partial issuing; the final execution result includes all success, partial success, and all failure. The user can fully master the instruction execution condition.
Because the LTE parameter modification is carried out according to the login modification of the IP address, each ENODEB has an independent IP address, in order to improve the execution efficiency, the instruction combination is carried out after the scheme is generated, and the combination conditions are the same as the execution objects ENODEB. Repeated login of the same ENODEB is avoided, efficiency is reduced, and load of a network management system is increased.
Step S4: and carrying out intelligent evaluation on the adjusted cell, and adding an evaluation result into an adjusted cell evaluation list. In general, the current adjustment period data is used to evaluate the result of the previous adjustment period, and the key KIP index and the load index of the LTE network are used, and the load index may be consistent with the screening condition. Key KPI indicators include key indicators such as wireless call drop rate, wireless call-in rate, handover success rate, and the like, and can be added as needed.
In practical application, the screening threshold can be adjusted according to the actual condition of an optimized area, and the area load condition can be analyzed firstly, for example, the threshold can be set higher in provincial meeting or economically developed cities, and the threshold can be set lower in relatively few users and economically undeveloped areas.
In addition, the black and white cell name list in the network is acquired in real time, and the cells in the adjusting cell list are updated in time, so that black cells or white cells in the adjusting cells are avoided.
Based on the method shown in fig. 1, the embodiment of the present invention further provides a structural block diagram 2 of a method and a system for automatically balancing LTE network load, and as shown in fig. 2, the system includes: the system comprises a cell screening module 1, a strategy configuration module 2, an instruction generation module 3 and an intelligent evaluation module 4.
The cell screening module 1 is used for calculating the key busy hour indexes of each network cell and screening out high-load cells according to a threshold, wherein the parameter information of each network cell in an area to be optimized is obtained, and performance statistical data of each network cell is collected according to set time granularity; screening out high-load cells according to conditions according to the parameter information and the performance statistical data of each network cell;
and the strategy configuration module 2 is used for configuring parameter names, thresholds, step lengths, judgment conditions, logic relations and the like related to the measurement of the high-load cell adjustment. Can be flexibly set according to multiple dimensions of equipment manufacturers, regions, cities and the like.
The instruction generating module 3 is used for setting the format of the parameter modifying command, and the conditions, the name of the parameter modifying table and the like are included to ensure the correct execution of the instruction;
and the intelligent evaluation module 4 is used for setting evaluation conditions and thresholds, wherein the evaluation only aims at the high-load cells successfully executed by the adjustment scheme.
For a better understanding of the present invention, the present invention is further illustrated below with reference to specific examples.
Examples
The specific process of the network optimization method for automatically balancing the LTE network load provided in this embodiment is as follows:
screening high load cell
Define at busy time: and determining the busy time period according to the uplink byte number (MB) of the cell user plane and the maximum downlink byte number (MB) of the cell user plane if a plurality of time periods exist.
the first condition is as follows: the maximum value of the number of RRC connections is greater than a threshold value;
and a second condition: the average utilization rate of the uplink PRB, the average utilization rate of the downlink PRB, the effective RRC connection average number, the number of bytes of the uplink service of the air interface and the number of bytes of the downlink service of the air interface meet the threshold and the logical relationship.
And (3) carrying out a third condition: the adjustment cell is an outdoor cell;
and a fourth condition: the adjusting cell has a pilot frequency adjacent cell.
In this embodiment, the screening threshold is set as follows;
1. maximum RRC connection number > 200;
2. cell coverage type: outdoors;
3. the cell has a pilot frequency adjacent cell;
4. (the average utilization rate of uplink PRB is more than 50% or the average utilization rate of downlink PRB is more than 50%) and (the effective RRC connection average is more than 30) and (the number of bytes of uplink service at air interface is more than 1000MB or the number of bytes of downlink service at air interface is more than 5000 MB);
the logical relationship is (condition 1 or condition 4) and condition 2 and condition 3.
Judging whether the cell has a pilot frequency adjacent cell: in the parameter table eutrindernfreq, FreqBand (high load cell) is not equal to FreqBand (high load small defined pilot frequency point) and FreqBand (high load cell) and FreqBand (high load small defined pilot frequency point) are only in F or D frequency band.
The average utilization rate of the uplink PRBs is equal to the average occupied number of the uplink PUSCH PRBs/the average available number of the uplink PUSCH PRBs is equal to 100%.
The average utilization rate of downlink PRBs is equal to the average occupied number of downlink PDSCH PRBs/average available number of downlink PDSCH PRBs is equal to 100%.
The coverage type is obtained from LTE base data.
Secondly, generating an adjustment scheme
And generating an instruction for the screened high-load cell according to a configured strategy.
Starting load balancing:
judgment condition 1: judging whether dynamic load balancing is not started:
MLBALGOSWITCH＝InterFreqMlbSwitch-1
judgment condition 2: and judging whether the F frequency band and D frequency band pilot frequency adjacent frequency points exist in the cell.
If the above conditions are met, the parameters are adjusted according to the following sequence:
1. starting different frequency load balance switch
And opening a pilot frequency load balance switch (InterFreqMlbswitch) and a pilot frequency idle state load balance switch (InterFreqIdleMlbswitch).
2. Configuring load balancing parameters (differentiating bandwidth)
The method comprises the steps of a load balancing triggering mode, a pilot frequency load balancing user number threshold, load balancing user number offset, a maximum switching-out user number in load balancing, a PRB (physical resource block) selection threshold of a load balancing user, a user number difference threshold, a pilot frequency load balancing transfer UE type, a pilot frequency idle state MLB user number threshold, a pilot frequency load evaluation period (second), a load balancing frequency point selection strategy, a load balancing user selection punishment timer, a load balancing adjacent region range, an idle state UE selection frequency point range, a load balancing target frequency point identification, a load balancing frequency point priority, an idle state UE selection frequency point strategy, a load-based pilot frequency RSRP triggering threshold and an A4 measurement triggering type. Specific parameter settings are shown in table 1 below:
TABLE 1
3. Configuring load balancing different frequency point
In the pilot frequency adjacent frequency points of the current cell, aiming at the F \ D frequency points, modifying the load balancing target frequency point identification as an allowance;
configuration load balancing priority (mlbfeqppriority): in the pilot frequency adjacent frequency points of the current cell, the priority of the load balancing frequency point of the D frequency band is set to be 7, the priority of the load balancing frequency point of the F1 frequency band is set to be 7, and the priority of the load balancing frequency point of the F2 frequency band is set to be 6.
4. Configuring an idle state selection frequency point strategy parameter;
5. configuring a load balancing a4 event;
6. configuring a T320 timer;
7. setting a common-coverage (common-station and common-address) pilot frequency adjacent region;
1) co-coverage cell determination
(1) Co-sited co-coverage cells: in the F frequency band cell, ENODEBID and the direction angle are the same, and cells with different cellids are co-sited and co-covered cells;
(2) co-located co-coverage cell: according to the consistent longitude and latitude in the basic data, ECI judges that co-located pilot frequency stations exist according to different latitudes, and mainly aims to determine whether F frequency band stations have D frequency band co-located stations or not and whether D frequency band stations have F frequency band co-located stations or not.
2) Judging whether the cell is configured with a common coverage cell as a pilot frequency adjacent cell;
3) defining a co-coverage neighbor cell: and modifying the overlapping coverage identifier (overlapInd) of the co-coverage cell to which the pilot frequency adjacent cell is added into the cell to be 1(same) and configuring an overlapping coverage range (overlapRange).
2) A co-coverage pilot frequency cell priority adjustment sub-process;
judgment 1: according to the parameter table CELLRESEL, when cellreselection priority > cellreselection priority.
And (3) judging: CellReselettionpriority > CellReselettionpriority, the parameter tables used in the judgment process are a cell reselection parameter table (CELLRESEL) and a pilot frequency adjacent frequency point table (EUTRANINTERNFREQ) in a network management system, and the pilot frequency is an F/D frequency band cell.
When any one of the above conditions is satisfied, CellReselPriority (co-coverage inter-frequency cell) is modified to CellReselPriority (screening cell).
2. Adjusting the threshold of the number of users with different frequency load balance
And if the pilot frequency load balancing user number threshold is greater than 45, the pilot frequency load balancing user number threshold is reduced by 10.
3. Adjusting the threshold of different-frequency idle MLB user number
And if the user number threshold of the different-frequency idle state MLB is greater than 45, subtracting 10 from the user number threshold of the different-frequency idle state MLB.
4. Adjusting the maximum number of switched-out users for load balancing
And if the maximum switching-out user number in load balancing is less than 20, adding 5 to the maximum switching-out user number in load balancing.
5. Adjusting pilot frequency load evaluation period
And judging that the pilot frequency load evaluation period (second) is larger than 6, and subtracting 2 from the pilot frequency load evaluation period (second).
Before the actual scheme is generated, the system can check the corresponding adjusting parameters, if the adjusting parameters are modified into a certain fixed value, whether the current value is the modified value or not is judged, if yes, no instruction is generated, and the generation of redundant instructions is avoided.
The instruction generation also involves the correct format of the parameters to modify in the factory system, if the conditions to be provided do not meet the factory requirements, the instructions cannot be executed correctly.
Three, instruction execution
There are two ways of executing the instruction, system execution and manual execution, which can be determined according to the user's own configuration. However, to avoid frequent modification of the command, the system can only modify once in an adjustment period, and if the user has performed manually, the same modification command cannot be executed for the cell. Until the next adjustment period.
Fourth, intelligent assessment
The intelligent evaluation relates to load index evaluation and key performance index evaluation, and index conditions of the adjusted cells are analyzed from two dimensions.
1. Performance index
[ INDEX 1 ], [ radio call completing Rate (after adjustment) -radio call completing Rate (before adjustment) ]/radio call completing Rate (before adjustment)
2. Results of Performance evaluation
(1) Performance improvements
Condition 1: [ INDICATOR 1 ] is 3%, and-5% < [ INDICATOR 2 ] is 5%, and-3% < [ INDICATOR 3 ] is 3%
Condition 2: index 2 < 5% and-3% < index 1 < 3% and-3% < index 3 < 3%
Condition 3: index 3 is 3% and-5% < [ index 2 ] is 5% and-3% < [ index 1 ] is 3%
The relationship is as follows: condition 1, or condition 2, or condition 3.
(2) Deterioration of performance
Condition 1: [ INDEX 1 ] is less than-3%
Condition 2: [ INDEX 2 ] 5%
Condition 3: [ INDEX 1 ] is less than-3%
The relationship is as follows: condition 1, or condition 2, or condition 3.
(3) Performance retention
Condition 1: -3% < [ index 1 ] 3%
Condition 2: -5% < [ index 2 ] < 5%
Condition 3: -3% < [ index 3 ] < 3%
The relationship is as follows: condition 1 and condition 2 and condition 3.
3. Load index
4. Load evaluation results
(1) Load reduction
Condition 1: [ INDEX 1 ] is ═ 20%
Condition 2: [ INDICATOR 2 ] is less than-20% or [ INDICATOR 3 ] is less than-20%
Condition 3: [ INDICATOR 4 ] is < -20%
The relationship is as follows: condition 1 or (condition 2 and condition 3).
(2) Load increase
Condition 1: [ INDEX 1 ] 20%
Condition 2: index 2 equals 20% or index 3 equals 20%
Condition 3: [ INDICATOR 4 ] 20%
The relationship is as follows: condition 1, or condition 2, or condition 3.
(3) Load retention
Condition 1: -20% < [ index 1 ] 20%
Condition 2: -20% < [ index 2 ] < 20% or-20% < [ index 3 ] < 20%
Condition 3: -20% < [ index 4 ] 20%
The relationship is as follows: condition 1 and condition 2 and condition 3.
Each threshold value shown above is only one of the present embodiments, and may be adjusted accordingly in practical application as needed.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is intended to include such modifications and variations.
Claims (13)
1. A method for automatically balancing LTE network load comprises the following steps:
(1) calculating the key busy hour indexes of each network cell, and screening out high-load cells according to a threshold;
(2) generating an adjusting scheme for the high-load cell according to an algorithm;
(3) executing the adjustment scheme and returning an execution result;
(4) carrying out intelligent evaluation on the cells successfully executed by the adjusting scheme;
the step (1) comprises the following substeps:
(1-1) acquiring parameter information of each network cell in an area to be optimized, and collecting performance statistical data of each network cell according to set time granularity;
(1-2) screening out high-load cells according to conditions according to the parameter information and the performance statistical data of each network cell; the conditions must include the following conditions two, three, and include one of the conditions one or four:
the first condition is as follows: the maximum value of the number of RRC connections is greater than a threshold value;
and a second condition: the average utilization rate of the uplink PRB, the average utilization rate of the downlink PRB, the effective RRC connection average number, the number of bytes of the uplink service of the air interface and the number of bytes of the downlink service of the air interface meet the threshold and the logical relationship;
and (3) carrying out a third condition: the adjustment cell is an outdoor cell;
and a fourth condition: adjusting the cell to have a pilot frequency adjacent cell;
the step (2) comprises the following substeps:
(2-1) starting a load balancing execution strategy;
(2-2) judging and setting a co-coverage cell;
(2-3) polling and adjusting pilot frequency load key parameters;
(2-4) adjusting the reselection priority of the neighboring cell;
(2-5) adjusting a timer;
the specific adjustment mode of the polling adjustment pilot frequency load key parameter is as follows:
(2-3-1) adjusting the threshold of the number of users in pilot frequency load balancing
Judging the threshold of the number of connected users: if the pilot frequency load balancing user number threshold is greater than 45, the pilot frequency load balancing user number threshold is reduced by 10;
(2-3-2) adjusting the threshold of the number of pilot frequency idle state MLB users;
judging the threshold of the number of pilot frequency idle state MLB users: if the pilot frequency idle state MLB user number threshold is greater than 45, subtracting 10 from the pilot frequency idle state MLB user number threshold;
(2-3-3) adjusting the maximum number of switching-out users in load balancing
Judging the maximum number of switched-out users in load balance, and adding 5 to the maximum number of switched-out users in load balance if the maximum number of switched-out users in load balance is less than 20;
(2-3-4) adjusting the pilot frequency load evaluation period:
and judging the pilot frequency load evaluation period, and if the pilot frequency load evaluation period is greater than 6, subtracting 2 from the pilot frequency load evaluation period.
2. The method for automatically balancing loads of an LTE network according to claim 1, wherein: when the key busy hour index of each network cell is calculated in the step (1), performance statistical data needs to be calculated to determine the time period of the busy hour, and the busy hour is defined as follows: and (3) determining the busy time interval according to the uplink byte number of the cell user plane and the maximum downlink byte number of the cell user plane if a plurality of time intervals exist.
3. The method for automatically balancing loads of an LTE network according to claim 2, wherein: the average utilization rate of the uplink PRBs is equal to the average occupied number of the uplink PUSCH PRBs/the average available number of the uplink PUSCH PRBs is equal to 100%;
the average utilization rate of downlink PRBs is equal to the average occupied number of downlink PDSCH PRBs/the average available number of downlink PDSCH PRBs is equal to 100%;
the method for determining the pilot frequency adjacent cell in the adjusting cell comprises the following steps: and different pilot frequency points different from the current cell frequency points exist in the pilot frequency adjacent frequency point list.
4. The method for automatically balancing loads of an LTE network according to claim 3, wherein: the method for starting the load balancing execution strategy comprises the steps of starting a load balancing switch, configuring pilot frequency load balancing parameters, configuring load balancing pilot frequency points, configuring idle state selection frequency point strategy parameters, configuring a load balancing A4 event and configuring a T320 timer for load balancing.
5. The method for automatically balancing loads of an LTE network according to claim 4, wherein: the configured pilot frequency load balancing parameters comprise a load balancing trigger mode, a pilot frequency load balancing user number threshold, load balancing user number bias, the maximum number of switched-out users in load balancing, PRB (physical resource block) threshold selected by a load balancing user, a user number difference threshold, a pilot frequency load balancing transfer UE (user equipment) type, a pilot frequency idle state MLB (maximum Link layer) user number threshold, a pilot frequency load evaluation period, a load balancing frequency point selection strategy, a load balancing user selection punishment timer, a load balancing adjacent region range, an idle state UE selection frequency point range, a load balancing target frequency point identifier, a load balancing frequency point priority, an idle state UE selection frequency point strategy, a pilot frequency RSRP trigger threshold based on load, and A4 measurement trigger type setting.
6. The method for automatically balancing loads of an LTE network according to claim 5, wherein: the judging and setting of the common coverage cell comprises the judgment of the common-station or common-address different-frequency adjacent cell and the definition of the adjacent cell parameter; the co-sited cells are judged through the same ENODEBID, and the co-sited cells are judged through the longitude and latitude.
7. The method for automatically balancing loads of an LTE network according to claim 5, wherein: the polling adjustment pilot frequency load key parameter comprises the following steps:
(2-3-1) adjusting the threshold of the number of pilot frequency load balancing users;
(2-3-2) adjusting the threshold of the number of pilot frequency idle state MLB users;
(2-3-3) adjusting the maximum number of switched-out users in load balance;
and (2-3-4) adjusting the pilot frequency load evaluation period.
8. The method for automatically balancing loads of an LTE network according to claim 5, wherein: the neighboring cell reselection priority adjustment comprises:
judging the priority: if the reselection priority of the service cell is greater than the reselection priority of the pilot frequency point, the modification mode is as follows: the priority of the pilot frequency cell is modified to be the same as the priority of the current service cell; modifying the priority of the pilot frequency cell; and modifying the priority of the pilot frequency adjacent frequency points defined by the current cell.
9. The method for automatically balancing LTE network load according to claim 8, wherein: in the step (2-4), the method for judging that the serving cell reselection priority is greater than the pilot frequency point reselection priority comprises the following steps: the cell reselection priority of the parameters in the cell reselection parameter table is greater than the cell reselection priority of the parameters of the pilot frequency points in the pilot frequency adjacent frequency point table.
10. The method for automatically balancing loads of an LTE network according to claim 5, wherein: the adjusting timer includes:
(2-5-1) adjusting a UE inactivity timer
Judging the current cell, and if the inactivity timer of the UE of the current cell is more than or equal to 10, adjusting the inactivity timer to be 8 seconds;
(2-5-2) adjusting T320 timer for load balancing
It is determined that if the T320 timer for load balancing of the current cell is less than 20, then the adjustment is 20 minutes.
11. The method for automatically balancing loads of an LTE network according to claim 1, wherein: the execution result comprises a distribution result and a final execution result, wherein the distribution result comprises all distribution, all non-distribution and partial distribution; the final execution result includes all success, partial success, and all failure.
12. The method for automatically balancing loads of an LTE network according to claim 1, wherein: the intelligent assessment of the adjustment cell includes assessment of load indicators and performance statistics indicators.
13. A system for LTE network load automatic balancing using the method of any of claims 1-12, characterized by comprising the following modules:
the cell screening module is used for calculating the key busy hour indexes of each network cell and screening out high-load cells according to a threshold;
the strategy configuration module is used for generating an adjustment scheme for the high-load cell according to an algorithm;
the instruction generation module executes the adjustment scheme and returns an execution result;
and the intelligent evaluation module is used for carrying out intelligent evaluation on the cell successfully executed by the adjustment scheme.
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| CN108696904A (en) * | 2018-05-23 | 2018-10-23 | 南京欣网通信科技股份有限公司 | A kind of LTE automatic Loads sharing method and system, the information processing terminal |
| CN108777870B (en) * | 2018-06-06 | 2021-06-08 | 湖北邮电规划设计有限公司 | LTE high-load cell discrimination method and system based on Pearson coefficient |
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| CN110493821B (en) * | 2019-06-25 | 2022-08-12 | 中国通信建设集团设计院有限公司 | Processing method and device for load balance among base station cells and electronic equipment |
| CN112188505B (en) | 2019-07-02 | 2024-05-10 | 中兴通讯股份有限公司 | Network optimization method and device |
| CN112566148B (en) * | 2019-09-26 | 2022-07-01 | 中国移动通信集团安徽有限公司 | Equalization parameter optimization method and system based on cell correlation |
| CN110944339B (en) * | 2019-10-12 | 2022-09-30 | 中国通信建设集团设计院有限公司 | Load distribution method, device and equipment for cell in base station |
| CN111182604A (en) * | 2019-12-27 | 2020-05-19 | 北京拓明科技有限公司 | Intelligent balancing method and system for LTE wireless network load |
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