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USER EQUIPMENT BEHAVIOR WHEN USING MACHINE LEARNING-BASED PREDICTION FOR WIRELESS COMMUNICATION SYSTEM OPERATION

机译:使用基于机器学习的无线通信系统操作的预测用户设备行为

摘要

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may identify a failure associated with a machine learning prediction for one or more network parameters; report, to a base station, failure information regarding the failure associated with the machine learning prediction; receive, from the base station, response information identifying an alteration to a communication configuration as a response to the failure associated with the machine learning prediction; and implement the alteration to the communication configuration based at least in part on receiving the response information. Numerus other aspects are provided.
机译:本公开的各个方面一般涉及无线通信。 在一些方面,用户设备可以识别与一个或多个网络参数的机器学习预测相关联的故障; 报告,到基站,有关与机器学习预测相关的故障的故障信息; 从基站接收响应信息识别对通信配置的更改作为对与机器学习预测相关的故障的响应; 并且至少部分地基于接收响应信息来实现对通信配置的改变。 提供了数值其他方面。

著录项

  • 公开/公告号US2021410219A1

    专利类型

  • 公开/公告日2021-12-30

    原文格式PDF

  • 申请/专利权人 QUALCOMM INCORPORATED;

    申请/专利号US202117304639

  • 申请日2021-06-23

  • 分类号H04W76/18;H04W24/10;H04W76/25;

  • 国家 US

  • 入库时间 2024-06-14 22:36:47

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