17524581. SECONDARY CELL GROUP (SCG) FAILURE PREDICTION AND TRAFFIC REDISTRIBUTION simplified abstract (QUALCOMM Incorporated)

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SECONDARY CELL GROUP (SCG) FAILURE PREDICTION AND TRAFFIC REDISTRIBUTION

Organization Name

QUALCOMM Incorporated

Inventor(s)

Vishal Dalmiya of San Diego CA (US)

Vaishakh Rao of San Diego CA (US)

Kuo-Chun Lee of San Diego CA (US)

Leena Zacharias of San Jose CA (US)

Vanitha Aravamudhan Kumar of San Diego CA (US)

Arvind Vardarajan Santhanam of San Diego CA (US)

SECONDARY CELL GROUP (SCG) FAILURE PREDICTION AND TRAFFIC REDISTRIBUTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17524581 titled 'SECONDARY CELL GROUP (SCG) FAILURE PREDICTION AND TRAFFIC REDISTRIBUTION

Simplified Explanation

The patent application describes a method for wireless communication using multiple radio access technologies (RATs). The method involves setting up a secondary cell group (SCG) with a different RAT than the master cell group (MCG), and communicating wirelessly through both groups. The method also includes predicting a potential radio link failure (RLF) for the SCG using a machine learning model, and routing data transmission from the SCG to the MCG after predicting the RLF.

  • The method involves setting up a secondary cell group (SCG) with a different radio access technology (RAT) than the master cell group (MCG).
  • Wireless communication is performed through both the SCG and the MCG.
  • A machine learning model is used to predict a potential radio link failure (RLF) for the SCG.
  • Data transmission from the SCG is routed to the MCG after predicting the RLF.

Potential Applications

  • This technology can be applied in wireless communication systems that utilize multiple radio access technologies.
  • It can be used in scenarios where a secondary cell group with a different RAT is needed to enhance network performance or provide additional capacity.
  • The method can be implemented in various wireless communication devices, such as smartphones, tablets, and IoT devices.

Problems Solved

  • The method addresses the challenge of efficiently utilizing multiple radio access technologies in wireless communication systems.
  • It helps in predicting potential radio link failures for secondary cell groups, allowing for proactive measures to maintain uninterrupted communication.
  • The method enables seamless data transmission between different cell groups, ensuring uninterrupted connectivity for users.

Benefits

  • By utilizing multiple radio access technologies, the method can enhance network performance and provide better coverage and capacity.
  • The use of a machine learning model for predicting radio link failures allows for proactive measures to prevent communication disruptions.
  • Seamless routing of data transmission from the secondary cell group to the master cell group ensures uninterrupted connectivity for users.


Original Abstract Submitted

A method of wireless communication, by a user equipment (UE), includes setting up a secondary cell group (SCG) with a second radio access technology (RAT) that differs from a first RAT associated with a master cell group (MCG). The method also includes communicating wirelessly via the secondary cell group and the master cell group. The method further includes predicting a radio link failure (RLF) for the secondary cell group based on multiple inputs to a machine learning model. The method still further includes routing data transmission from the secondary cell group to the master cell group, after predicting the SCG RLF.

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