18834119. MACHINE LEARNING MODELS FOR PREDICTIVE RESOURCE MANAGEMENT (QUALCOMM Incorporated)
MACHINE LEARNING MODELS FOR PREDICTIVE RESOURCE MANAGEMENT
Organization Name
Inventor(s)
Arumugam Chendamarai Kannan of San Diego CA US
Himanshu Joshi of San Jose CA US
Taesang Yoo of San Diego CA US
Mahmoud Taherzadeh Boroujeni of San Diego CA US
MACHINE LEARNING MODELS FOR PREDICTIVE RESOURCE MANAGEMENT
This abstract first appeared for US patent application 18834119 titled 'MACHINE LEARNING MODELS FOR PREDICTIVE RESOURCE MANAGEMENT
Original Abstract Submitted
Methods, systems, and devices for wireless communications are described. A network entity may transmit, and a user equipment (UE) may receive, signaling identifying a configuration of a set of multiple machine learning (ML) models for channel characteristic prediction. The channel characteristic prediction may include a channel characteristic prediction for each ML model of the set of multiple ML models based on a respective reference signal resource of the set of multiple reference signal resources. The network entity may obtain an input to the set of multiple ML models based on performing one or more measurements associated with the set of multiple reference signal resources. The network entity may output, and the UE may obtain, the input. The UE may process the input using at least one ML model of the set of multiple ML models to obtain the channel characteristic prediction of the at least one ML model.