Predictive methods for SSB beam measurements

    公开(公告)号:US12225484B2

    公开(公告)日:2025-02-11

    申请号:US18132921

    申请日:2023-04-10

    Abstract: A user equipment may be configured to perform predictive methods for SSB beam measurements. In some aspects, the user equipment may receive, from at least a base station, a first set of one or more synchronization signal block beam identifiers corresponding to a first set of one or more SSB beams belonging to a SSB burst, and receive, from at least the base station, the SSB burst including the first set of one or more SSB beams. Further, the user equipment may transmit, to at least the base station, one or more of: reporting information for a second set of one or more SSB beams or indications corresponding to the second set of one or more SSB beams, the second set of one or more SSB beams determined based on a prediction model and the first set of one or more SSB beams.

    Gradient accumulation for federated learning

    公开(公告)号:US12035286B2

    公开(公告)日:2024-07-09

    申请号:US17648117

    申请日:2022-01-14

    CPC classification number: H04W72/044 G06N20/00 H04W24/02

    Abstract: A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.

Patent Agency Ranking