DISTORTION PROBING REFERENCE SIGNAL CONFIGURATION

    公开(公告)号:US20230246775A1

    公开(公告)日:2023-08-03

    申请号:US18194479

    申请日:2023-03-31

    CPC classification number: H04L5/0048 H04B17/309

    Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

    USER EQUIPMENT PARTICIPATION INDICATIONS ASSOCIATED WITH FEDERATED LEARNING

    公开(公告)号:US20230080218A1

    公开(公告)日:2023-03-16

    申请号:US17447668

    申请日:2021-09-14

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a federated learning configuration that configures a participation indication to be used by the UE to indicate a participation status of the UE associated with at least one federated learning round corresponding to a machine learning component. The UE may transmit the participation indication to the base station based at least in part on the federated learning configuration. Numerous other aspects are described.

    GENERALIZED NEURAL NETWORK ARCHITECTURES BASED ON FREQUENCY AND/OR TIME DIVISION

    公开(公告)号:US20230007530A1

    公开(公告)日:2023-01-05

    申请号:US17365510

    申请日:2021-07-01

    Abstract: Certain aspects of the present disclosure provide techniques for measurement encoding and decoding using neural networks to compress and decompress measurement data. One example method generally includes: generating, via each of a plurality of neural network encoders operating on measurement data, a compressed measurement based on a respective portion of the measurement data, wherein each of the neural network encoders is based on the same neural network model; generating at least one message indicative of the measurement data based on the compressed measurements; and transmitting the at least one message.

    ARCHITECTURES FOR TEMPORAL PROCESSING ASSOCIATED WITH WIRELESS TRANSMISSION OF ENCODED DATA

    公开(公告)号:US20220284267A1

    公开(公告)日:2022-09-08

    申请号:US17193974

    申请日:2021-03-05

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitting wireless communication device may encode a data set using a single shot encoding operation and a temporal processing operation associated with at least one neural network to produce an encoded data set, wherein a dimensionality of a subset of inputs of a set of inputs to the temporal processing operation is greater than a dimensionality of the encoded data set. The transmitting wireless communication device may transmit the encoded data set to a receiving wireless communication device. Numerous other aspects are described.

    MODEL DISCOVERY AND SELECTION FOR COOPERATIVE MACHINE LEARNING IN CELLULAR NETWORKS

    公开(公告)号:US20220182263A1

    公开(公告)日:2022-06-09

    申请号:US17111346

    申请日:2020-12-03

    Abstract: An OAM core network may receive a request for a ML/NN model and features associated with a ML/NN procedure. The OAM core network may determine a latest update to the ML/NN model and features based on the request and generate a response to the request indicative of the latest update to the ML/NN model and features. In aspects, a base station may initiate the request for the ML/NN model and features by transmitting the request for the ML/NN model and features to the OAM core network. The base station may receive the generated response of the OAM core network based on the transmitted request. In further aspects, a UE may initiate the request for the ML/NN model and features by transmitting the request to the base station, where the UE may receive the ML/NN model and features from the base station based on the transmitted request.

    Position Estimation Using Inter-PUE Signaling

    公开(公告)号:US20220132462A1

    公开(公告)日:2022-04-28

    申请号:US17078820

    申请日:2020-10-23

    Abstract: Methods, devices, systems, and computer-readable media for supporting position estimation are disclosed. A method at a first user equipment (UE) device may comprise sending or receiving, via a sidelink channel, a ranging signal between the first UE device and a second UE device. The method may further comprise obtaining at least one ranging measurement based on the sending or receiving the ranging signal between the first UE device and a second UE device. The method may further comprise broadcasting, via the sidelink channel, (1) the at least one ranging measurement with a reference to the second UE device or (2) a position estimate for the first UE device based on the at least one ranging measurement.

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