REMOTE INTERFERENCE DETECTION BASED ON MACHINE LEARNING

    公开(公告)号:US20240357399A1

    公开(公告)日:2024-10-24

    申请号:US18682312

    申请日:2021-10-08

    CPC classification number: H04W24/10 H04L41/16

    Abstract: Methods, systems, and devices for wireless communications are described. The method may include a wireless device (e.g., a user equipment (UE) or a base station) receiving, from a network node, a machine learning model for use by the wireless device to detect remote interference from a base station. The wireless device may be associated with a first cell and the base station may be associated with a second cell different from the first cell. The wireless device may input one or more parameters into the machine learning model and detect whether the remote interference from the base station is present based on an output of the machine learning model.

    RLC BUFFER REDUCTION BASED ON NETWORK CODING AND OUTER CODE

    公开(公告)号:US20240356683A1

    公开(公告)日:2024-10-24

    申请号:US18571195

    申请日:2021-08-31

    Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for RLC buffer reduction techniques. A wireless transmitter may generate at least one RLC PDU and at least one RLC parity PDU based on an encoding procedure for an RLC SDU. The wireless transmitter may store, in an RLC buffer, the at least one RLC parity PDU for the RLC SDU and transmit, to a MAC layer, at least one of the segmentation of the RLC SDU or the at least one RLC PDU. A wireless receiver may generate RLC PDU feedback for at least one of the RLC SDU, the segmentation of the RLC SDU, or the at least one RLC PDU and transmit, to an RLC layer, the RLC PDU feedback including an indication of an additional number of encoded RLC PDUs and at least one of an ACK_SN or a NACK_SN.

    UE GROUPING SCHEME FOR ENHANCED PAGING RECEPTION

    公开(公告)号:US20240298297A1

    公开(公告)日:2024-09-05

    申请号:US18660161

    申请日:2024-05-09

    CPC classification number: H04W68/02 H04W4/08

    Abstract: A UE may select one or more paging attributes for paging reception. The one or more paging attributes may be selected from a set of network supported paging attributes. The UE may transmit, to a network, an indication of the one or more paging attributes for paging reception. The UE may receive, from the network, a response message based on the indication of the one or more paging attributes. The response message may include a first UE group number. The first UE group number may be based on at least the one or more paging attributes. The UE may receive a paging indication including a UE group number. The UE may proceed to receive and decode the paging message associated with the paging indication when the UE group number in the paging indication matches the first UE group number. Otherwise, the UE may safely disregard the paging message.

    INTEGRATED ACCESS AND BACKHAUL DATA COLLECTION

    公开(公告)号:US20240276246A1

    公开(公告)日:2024-08-15

    申请号:US18568390

    申请日:2022-06-28

    CPC classification number: H04W24/02 H04L41/12 H04W24/04 H04W28/0236

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus of a central or management entity of an integrated access and backhaul (IAB) network may receive a report indicating one or more of a failure associated with a communication link associated with an IAB node included in the IAB network or a quality of service (QoS) associated with the communication link. The apparatus may modify a topography of the IAB network or routing within the IAB network when the report indicates the failure associated with the communication link. The apparatus may verify a QoS associated with the IAB network when the report indicates the QoS associated with the communication link. Numerous other aspects are described.

    FEDERATED LEARNING IN A DISAGGREGATED RADIO ACCESS NETWORK

    公开(公告)号:US20230297875A1

    公开(公告)日:2023-09-21

    申请号:US17696712

    申请日:2022-03-16

    CPC classification number: G06N20/00 G06K9/6256 H04W8/18 H04W88/085

    Abstract: Disclosed are systems and techniques for wireless communications. For instance, a network entity can determine a first data heterogeneity level associated with input data for training a machine learning model. In some cases, the network entity can determine, based on the first data heterogeneity level, a first data aggregation period for training the machine learning model. In some aspects, the network entity may obtain a first set of updated model parameters from a first client device and a second set of updated model parameters from a second client device, wherein the first set of updated model parameters and the second set of updated model parameters are based on the first data aggregation period. In some examples, the network entity can combine the first set of updated model parameters and the second set of updated model parameters to yield a first combined set of updated model parameters.

Patent Agency Ranking