Network optimization method and apparatus, and base station
US-2017134970-A1 · May 11, 2017 · US
US11765653B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11765653-B2 |
| Application number | US-202117225646-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 8, 2021 |
| Priority date | Oct 8, 2018 |
| Publication date | Sep 19, 2023 |
| Grant date | Sep 19, 2023 |
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This application provides an example load threshold determining method and apparatus. The method includes obtaining a plurality of preselected load thresholds of a cell. The method also includes obtaining an evaluation value corresponding to each preselected load threshold in a first periodicity, where each evaluation value is used to evaluate key performance indicator (KPI) information and energy saving information of the cell. The method further includes determining a target load threshold of the cell in a second periodicity based on all evaluation values, where the target load threshold is a load threshold in the plurality of preselected load thresholds, and where the second periodicity is a next periodicity of the first periodicity.
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What is claimed is: 1. An apparatus, comprising: at least one processor; and one or more memories coupled to the at least one processor, wherein the one or more memories comprise instructions that, when executed by the at least one processor cause the apparatus to perform operations comprising: obtaining a plurality of preselected load thresholds of a cell, wherein the obtaining the plurality of preselected load thresholds comprises: obtaining the plurality of preselected load thresholds based on a maximum load threshold of the cell and a minimum load threshold of the cell, wherein the plurality of preselected load thresholds comprise the maximum load threshold of the cell and the minimum load threshold of the cell, and wherein obtaining the plurality of preselected load thresholds based on the maximum load threshold of the cell and the minimum load threshold of the cell comprises: obtaining parameter value groups respectively corresponding to a plurality of time periods of the cell, wherein one parameter value group comprises a value of at least one first parameter corresponding to a corresponding time period of the cell, and wherein the at least one first parameter comprises load; based on the parameter value groups respectively corresponding to the plurality of time periods: determining a first relationship between at least one first parameter and a throughput rate; and determining M second relationships between the at least one first parameter and M key performance indicators (KPIs), wherein M is a positive integer; and determining the maximum load threshold based on the first relationship and the M second relationships; obtaining an evaluation value of a plurality of evaluation values corresponding to each preselected load threshold in a first periodicity, wherein each evaluation value is used to evaluate key performance indicator (KPI) information and energy saving information of the cell; and determining a target load threshold of the cell in a second periodicity based on the plurality of evaluation values, wherein the target load threshold is a load threshold in the plurality of preselected load thresholds, and wherein the second periodicity is a next periodicity of the first periodicity. 2. The apparatus according to claim 1 , wherein the operations further comprise: determining a first load corresponding to a maximum value of a throughput rate corresponding to a first curve, wherein the first curve is a curve corresponding to the first relationship; determining M second loads corresponding to maximum values of M KPIs corresponding to M second curves, wherein the M second curves are curves corresponding to the M second relationships, and wherein the M second curves and the M second relationships are in a one-to-one correspondence; and determining a smallest value in the first load and the M second loads as the maximum load threshold. 3. The apparatus according to claim 1 , wherein the operations further comprise: obtaining each target KPI parameter value and each target energy saving parameter value of the cell when a load threshold of the cell is a first load threshold in a third periodicity, wherein the first load threshold is a target load threshold of the cell in the third periodicity, and wherein the third periodicity is a previous periodicity of the first periodicity; and updating each KPI parameter value that corresponds to the first load threshold and that is recorded in a current record table to each target KPI parameter value, and updating each energy saving parameter value that corresponds to the first load threshold and that is recorded in the current record table to each target energy saving parameter value, to obtain an updated record table, wherein the updated record table records each KPI parameter value, each energy saving parameter value, and an evaluation value that correspond to each preselected load threshold. 4. The apparatus according to claim 3 , wherein the obtaining an evaluation value corresponding to each preselected load threshold in a first periodicity comprises: for a preselected load threshold, determining, based on a first KPI parameter value set, a second KPI parameter value set, a first energy saving parameter value set, and a second energy saving parameter value set, an evaluation value corresponding to the preselected load threshold in the first periodicity, wherein the first KPI parameter value set is a set of KPI parameter values that correspond to the preselected load threshold and that are recorded in the updated record table, wherein the second KPI parameter value set is a set of KPI parameter values that correspond to a minimum load threshold and that are in the updated record table, wherein the first energy saving parameter value set is a set of energy saving parameter values that correspond to the preselected load threshold and that are in the updated record table, and wherein the second energy saving parameter value set is a set of energy saving parameter values that correspond to the minimum load threshold and that are in the updated record table. 5. The apparatus according to claim 4 , wherein the operations further comprise: determining, based on the first KPI parameter value set and the second KPI parameter value set, a KPI evaluation value of the cell and a KPI evaluation value of a cluster in which the cell is located; determining an energy saving evaluation value of the cell based on the first energy saving parameter value set and the second energy saving parameter value set; and obtaining, based on the KPI evaluation value of the cell, the KPI evaluation value of the cluster in which the cell is located, and the energy saving evaluation value of the cell, the evaluation value corresponding to the preselected load threshold in the first periodicity. 6. The apparatus according to claim 3 , wherein the operations further comprise: determining a first probability that a first preselected load threshold is determined as the target load threshold of the cell in the second periodicity, wherein the first preselected load threshold is a preselected load threshold corresponding to a largest evaluation value among the plurality of evaluation values; determining a second probability that a second preselected load threshold is determined as the target load threshold of the cell in the second periodicity, wherein the second preselected load threshold is any load threshold other than the first preselected load threshold in the plurality of preselected load thresholds; and determining the target load threshold of the cell based on the first probability and the second probability. 7. The apparatus according to claim 6 , wherein the operations further comprise: determining a third probability based on a periodicity sequence number of the second periodicity and a quantity of preselected load thresholds; and determining a difference between 1 and the third probability as the first probability. 8. The apparatus according to claim 7 , wherein the operations further comprise: determining the second probability based on the third probability and the quantity of preselected load thresholds. 9. The apparatus according to claim 5 , wherein the operations further comprise: for a first-type KPI, determining, based on parameters corresponding to the first-type KPI in the first KPI parameter value set and the second KPI parameter value set, a first target KPI evaluation value that is of the cluster and that corresponds to the first-type KPI; for a second-type KPI, determining, based on parameters corresponding to the second-type KPI in the first KPI parameter value set and the second KPI parameter value set, a second target KPI evaluation value that is of the cluster an
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