US Patent Application 17714946. ADAPTIVE SENSING AND SENSOR RECONFIGURATION IN PERCEPTIVE WIRELESS COMMUNICATIONS simplified abstract

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ADAPTIVE SENSING AND SENSOR RECONFIGURATION IN PERCEPTIVE WIRELESS COMMUNICATIONS

Inventors

Himaja KESAVAREDDIGARI of Bridgewater NJ (US)


Kyle Chi Guan of New York NY (US)


Qing Li of Princeton Junction NJ (US)


Kapil Gulati of Belle Mead NJ (US)


Junyi Li of Fairless Hills PA (US)


Hong Cheng of Basking Ridge NJ (US)


ADAPTIVE SENSING AND SENSOR RECONFIGURATION IN PERCEPTIVE WIRELESS COMMUNICATIONS - A simplified explanation of the abstract

  • This abstract for appeared for patent application number 17714946 Titled 'ADAPTIVE SENSING AND SENSOR RECONFIGURATION IN PERCEPTIVE WIRELESS COMMUNICATIONS'

Simplified Explanation

This abstract describes a method for a user equipment (UE) to switch between different models for extracting feature data. This allows for improved prediction of obstacles that may block wireless signals. Initially, the network node receives feature data from the UE based on a specific model. The network node then sends a message to the UE instructing it to switch to a different model based on the UE's current state. In response to this message, the UE decides to switch to the new model and sends feature data based on that model back to the network node. The network node can then use this data to predict potential blockages in the wireless signal.


Original Abstract Submitted

Aspects are provided which allow a UE to switch between feature data extraction models in order to provide adaptive feature data of dynamic, potential LOS obstacles for improved beam blockage prediction performance (or other functions) at the network node. Initially, the network node receives first feature data from a UE based on a first data extraction model of the UE. The network node transmits a message instructing the UE to switch from the first data extraction model to a second data extraction model of the UE based on a state of the UE. In response to the message, the UE determines to switch from the first data extraction model to the second data extraction model and transmits, to the network node, second feature data based on the second data extraction model. The network node may then determine a beam blockage prediction in response to the second feature data.

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