UPLINK REFERENCE SIGNAL CONFIGURATION ASSOCIATED WITH MONITORING OF AN ARTIFICIAL INTELLIGENCE MACHINE LEARNING MODEL FOR NETWORK-ASSISTED POSITION ESTIMATION
卷宗概要
发明人
Mohammed Ali Mohammed HIRZALLAH; Marwen ZORGUI
IPC 分类
CPC 分类
Aspects of the disclosure are thereby directed to an uplink reference signal (UL-RS) configuration associated with monitoring of an artificial intelligence machine learning (AIML) model for network-assisted position estimation (e.g., Case 2a, 2b, 3a and/or 3b for AIML model positioning use cases for 3GPP). In an aspect, the UL-RS configuration associated with monitoring of the AIML model may be different than a UL-RS configuration utilized for position estimation of the UE. In further aspects, the UL-RS configuration associated with monitoring of the AIML model may be utilized even if there is no active position estimation session of the UE. Such aspects may provide various technical advantages, such as improving positioning performance associated with AIML models (e.g., by utilizing the AIML model monitoring to validate/invalidate the AIML model, switch between AIML models, update the AIML model, etc.) while not being limited to UL-RS configurations for position estimation sessions.
原文(中文)
Aspects of the disclosure are thereby directed to an uplink reference signal (UL-RS) configuration associated with monitoring of an artificial intelligence machine learning (AIML) model for network-assisted position estimation (e.g., Case 2a, 2b, 3a and/or 3b for AIML model positioning use cases for 3GPP). In an aspect, the UL-RS configuration associated with monitoring of the AIML model may be different than a UL-RS configuration utilized for position estimation of the UE. In further aspects, the UL-RS configuration associated with monitoring of the AIML model may be utilized even if there is no active position estimation session of the UE. Such aspects may provide various technical advantages, such as improving positioning performance associated with AIML models (e.g., by utilizing the AIML model monitoring to validate/invalidate the AIML model, switch between AIML models, update the AIML model, etc.) while not being limited to UL-RS configurations for position estimation sessions.