Adaptive wireless client steering
AssigneeHewlett Packard Enterprise Development LP
InventorsSachin Ganu, Bernd Bandemer, Jose Tellado, Gaurav Patwardhan
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Abstract
An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.
Claims20
A network information aggregator of a first network comprising a network interface, a memory, and processing circuitry to:
- train a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a second network information aggregator of a second network, the roaming information comprising a result of steering a device on the second network;
- generate, using the machine learning model, a device steering rule including radio environment criteria;
- and
- transmit the device steering rule to a network device.
A method, comprising:
- training a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a second network information aggregator of a second network, the roaming information comprising a result of steering a device on the second network;
- generating, by a network information aggregator of a first network using the machine learning model, a device steering rule including radio environment criteria;
- and
- transmitting, by the network information aggregator, the device steering rule to a network device.
A non-transitory, computer-readable medium comprising instructions that, when executed by processing circuitry, cause the processing circuitry to:
- train a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a second network information aggregator of a second network, the roaming information comprising a result of steering a device on the second network;
- generate, using the machine learning model, a device steering rule for a first network, the device steering rule including radio environment criteria;
- and
- transmit the device steering rule to a network device on the first network.
Dependencies are inferred from the claim text.