Determining open loop power control parameters
AssigneeNokia Solutions and Networks Oy
InventorsLorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis, Richa Gupta, Suresh Kalyanasundaram, Veronique Capdevielle
Life of this patent
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Abstract
Disclosed is a method for determining open loop power control parameters. A first set of key performance indicators associated with a first set of open loop power control parameters is obtained from one or more first base stations. A statistical model is determined based at least partly on the first set of key performance indicators and the first set of open loop power control parameters. A second set of open loop power control parameters is determined based at least partly on the statistical model.
Claims13
An apparatus comprising means for:
- obtaining, from one or more first base stations, a first set of key performance indicators associated with a first set of open loop power control parameters;
- determining a statistical model based at least partly on the first set of key performance indicators and the first set of open loop power control parameters;
- determining a second set of open loop power control parameters based at least partly on the statistical model;
- updating a set of hyperparameters associated with the statistical model by maximizing a likelihood of the first set of key performance indicators, wherein the set of hyperparameters define at least a kernel function and a noise variance associated with the statistical model;
- wherein the statistical model comprises a Gaussian process model.
A method comprising:
- obtaining, from one or more base stations, a first set of key performance indicators associated with a first set of open loop power control parameters;
- determining a statistical model based at least partly on the first set of key performance indicators and the first set of open loop power control parameters;
- determining a second set of open loop power control parameters based at least partly on the statistical model;
- updating a set of hyperparameters associated with the statistical model by maximizing a likelihood of the first set of key performance indicators, wherein the set of hyperparameters define at least a kernel function and a noise variance associated with the statistical model;
- wherein the statistical model comprises a Gaussian process model.
A non-transitory computer program comprising instructions for causing an apparatus to perform at least the following:
- obtain, from one or more base stations, a first set of key performance indicators associated with a first set of open loop power control parameters;
- determine a statistical model based at least partly on the first set of key performance indicators and the first set of open loop power control parameters;
- determine a second set of open loop power control parameters based at least partly on the statistical model;
- update a set of hyperparameters associated with the statistical model by maximizing a likelihood of the first set of key performance indicators, wherein the set of hyperparameters define at least a kernel function and a noise variance associated with the statistical model;
- wherein the statistical model comprises a Gaussian process model.
A system comprising at least a first apparatus and one or more base stations:
- wherein the one or more base stations are configured to:
- collect a first set of key performance indicators associated with a first set of open loop power control parameters;
- transmit the first set of key performance indicators to the first apparatus;
- wherein the first apparatus is configured to:
- receive the first set of key performance indicators from the one or more base stations;
- determine a statistical model based at least partly on the first set of key performance indicators and the first set of open loop power control parameters;
- determine a second set of open loop power control parameters based at least partly on the statistical model;
- update a set of hyperparameters associated with the statistical model by maximizing a likelihood of the first set of key performance indicators, wherein the set of hyperparameters define at least a kernel function and a noise variance associated with the statistical model;
- transmit the second set of open loop power control parameters to the one or more base stations;
- wherein the one or more base stations are further configured to:
- receive the second set of open loop power control parameters from the first apparatus;
- and
- apply the second set of open loop power control parameters;
- wherein the statistical model comprises a Gaussian process model.
Dependencies are inferred from the claim text.