US Patent Application 18026256. METHODS AND APPARATUSES FOR HANDOVER PROCEDURES simplified abstract

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METHODS AND APPARATUSES FOR HANDOVER PROCEDURES

Organization Name

Telefonaktiebolaget LM Ericsson (publ)


Inventor(s)

Serveh Shalmashi of Enebyberg (SE)

Euhanna Ghadimi of Bromma (SE)

METHODS AND APPARATUSES FOR HANDOVER PROCEDURES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18026256 titled 'METHODS AND APPARATUSES FOR HANDOVER PROCEDURES

Simplified Explanation

This patent application describes methods and apparatuses for a network node in a communication network. The network node obtains information about the current status of a communication device and the communication network. This information is then inputted into a machine-learning model. The machine-learning model uses this information to output a score for at least one candidate handover parameter value. The network node then selects at least one handover parameter value for a handover procedure based on the output from the machine-learning model. The selected handover parameter value is specific to the communication device.

  • The patent application describes a method for a network node to optimize handover procedures in a communication network.
  • The network node obtains information about the current status of a communication device and the communication network.
  • This information is inputted into a machine-learning model.
  • The machine-learning model uses this information to output a score for at least one candidate handover parameter value.
  • The network node selects at least one handover parameter value based on the output from the machine-learning model.
  • The selected handover parameter value is specific to the communication device, allowing for personalized optimization.


Original Abstract Submitted

Methods and apparatuses for a network node are disclosed. According to an example, there is provided a method implemented in a network node of a communication network, the method including: obtaining communication device context information related to a current status of a communication device, and network context information related to a current status of the communication network; inputting the communication device context information and the network context information to a machine-learning model, wherein the machine-learning model outputs a score for at least one candidate handover parameter value based on the communication device context information and the network context information; and selecting at least one handover parameter value for a handover procedure involving the communication device based on the output from the machine-learning model, wherein the selected at least one handover parameter value is specific to the communication device.

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