APPARATUS AND METHOD FOR USE IN CONTROLLING THE POSITIONING OF AN ANTENNA

    公开(公告)号:US20190190143A1

    公开(公告)日:2019-06-20

    申请号:US16207736

    申请日:2018-12-03

    CPC classification number: H01Q3/02 H01Q1/1257 H01Q9/0407 H04B7/0413 H04B17/309

    Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: map the value of a radio channel key performance indicator throughout a generally repeating cycle for two or more positions of an antenna of a first device, the value of the radio channel key performance indicator varying with changes in a radio environment between the first device and a second device for a given antenna position; and use the mapped value of the radio channel key performance indicator to determine at least one position of the antenna for use in controlling the positioning of the antenna to achieve at least one acceptable value of the radio channel key performance indicator.

    PROVIDING PRODUCER NODE MACHINE LEARNING BASED ASSISTANCE

    公开(公告)号:US20220335337A1

    公开(公告)日:2022-10-20

    申请号:US17764891

    申请日:2019-10-02

    Abstract: According to an aspect, there is disclosed a method comprising receiving, from a producer node, producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity. According to another aspect, there is disclosed a method comprising identifying producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity; and causing transmission of the producer node capabilities to a consumer node.

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