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公开(公告)号:US20230016595A1
公开(公告)日:2023-01-19
申请号:US17780887
申请日:2019-11-28
发明人: Henrik RYDÉN , Martin ISAKSSON , Vijaya YAJNANARAYANA , Sakib BIN REDHWAN , Roman ZHOHOV , Maksym GIRNYK , Abdulrahman ALABBASI
摘要: In a method in a user equipment, UE, in a communications network, of determining whether to perform a handover procedure from a first network node to a second network node, a location of the UE is provided as input to a model stored on the UE, the model having been trained using a machine learning process to predict conditions on the second network node in the communications network based on the location of the UE. A prediction of conditions on the second network node at the provided location of the UE is provided by the model. The received predicted conditions are then used to determine whether to perform a handover procedure.
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公开(公告)号:US20240244499A1
公开(公告)日:2024-07-18
申请号:US18548982
申请日:2021-03-05
CPC分类号: H04W36/324 , H04B7/0617 , H04W36/362 , H04W56/0045
摘要: Methods and apparatus are provided for providing mobility state information in a radio access network. In certain embodiments a method is performed by a first network node of a radio access network. The method includes obtaining one or more mobility state related parameters and determining mobility state information of a wireless device in a connected mode with the radio access network. The mobility state information is determined based on the one or more mobility state related parameters. The first network node communicates the determined mobility state information to a second network node.
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公开(公告)号:US20230140745A1
公开(公告)日:2023-05-04
申请号:US17915552
申请日:2021-04-09
发明人: Icaro Leonardo DA SILVA , Lars FALK , Roman ZHOHOV
IPC分类号: H04W36/00
摘要: A first network node in a communication network can communicate with a second network node to configure a conditional handover (“CHO”) for a communication device. The first network node can, responsive to communicating with the second network node to configure the CHO, determine a conditional reconfiguration delay.
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公开(公告)号:US20230019669A1
公开(公告)日:2023-01-19
申请号:US17784877
申请日:2020-12-18
摘要: Systems and methods are disclosed herein for enhanced feedback for cascaded federated machine learning (ML). In one embodiment, a method of operation of a server comprises, for a training epoch, receiving, from each of client device, information including a local ML model as trained at the client device and an estimated value of each parameter output by the local ML model. The method further comprises aggregating the local ML models to provide a global ML model and training a network ML model based on the estimated values of each of the parameters output by the local ML models and global data available at the server. The method further comprises providing, to each client device, information including the global ML model and feedback information related to a hidden neural network layer of the network ML model. The method further comprises repeating the process for one or more additional training epochs.
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