基本信息:
- 专利标题： USING AI-BASED MODELS FOR NETWORK ENERGY SAVINGS
- 申请号：PCT/US2022/047151 申请日：2022-10-19
- 公开(公告)号：WO2023069534A1 公开(公告)日：2023-04-27
- 发明人： HYDE, Maruti, Gupta , ZHANG, Yi , SINGH, Vaibhav , LI, Ziyi , MACIOCCO, Christian
- 申请人： INTEL CORPORATION
- 申请人地址： 2200 Mission College Boulevard
- 专利权人： INTEL CORPORATION
- 当前专利权人： INTEL CORPORATION
- 当前专利权人地址： 2200 Mission College Boulevard
- 代理机构： KACVINSKY, John
- 优先权： US63/270,505 2021-10-21
- 主分类号： H04W36/08
- IPC分类号： H04W36/08 ; H04W36/00 ; H04W52/02 ; H04W92/20 ; G06N20/00
摘要：
An apparatus for an access node, includes a memory interface to send or receive, to or from a data storage device, measurement information for measurement signaling between a first next generation radio access network (NG-RAN) node and a second NG-RAN node. The apparatus also includes processor circuitry communicatively coupled to the memory interface, the processor circuitry to initiate execution of a machine learning (ML) model by the first NG-RAN node to select an energy saving state for the first NG-RAN node, the second NG-RAN node or a user equipment (UE), and generate one or more messages with an information element (IE) with one or more parameters to request measurement information according to the one or more parameters, the measurement information to comprise feedback information to train the ML model. Other embodiments are described and claimed.