REFERENCE SIGNAL DESIGN
    62.
    发明申请

    公开(公告)号:US20180097594A1

    公开(公告)日:2018-04-05

    申请号:US15619086

    申请日:2017-06-09

    CPC classification number: H04L5/0048 H04L27/2613 H04W72/0413

    Abstract: Various additional and alternative aspects are described herein. In some aspects, the present disclosure provides a method for wireless communication. The method includes determining at least one RS pattern for allocating a reference signal on an uplink channel and a downlink channel based on one or more transmission factors for transmitting the reference signal, wherein at least a portion of the at least one RS pattern is the same for the uplink channel and the downlink channel. The method further includes transmitting the reference signal using the determined RS pattern.

    PER-TONE PRECODING FOR DOWNLINK MIMO TRANSMISSION

    公开(公告)号:US20170180020A1

    公开(公告)日:2017-06-22

    申请号:US15377934

    申请日:2016-12-13

    CPC classification number: H04B7/0456

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a base station. The base station estimates a first channel matrix observed by a first UE. The base station also applies a SVD to the first channel matrix to obtain a left singular vector matrix and a right singular vector matrix of the first channel matrix. The base station further determines a first precoding matrix based on a product of the right singular vector matrix and a conjugate transpose of the left singular vector matrix. The base station yet further applies the first precoding matrix to at least one first symbol to generate one or more precoded symbols. The base station transmits the one or more precoded symbols.

    QUERY-BASED CHANNEL STATE INFORMATION FEEDBACK DECODING FOR CROSS-NODE MACHINE LEARNING

    公开(公告)号:US20250062810A1

    公开(公告)日:2025-02-20

    申请号:US18450821

    申请日:2023-08-16

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, decoder configuration information associated with a transmitter neural network configured to be used to generate at least one latent vector corresponding to one or more computation tasks of a plurality of computation tasks associated with a query-based cross-node machine learning system. The UE may receive, from the network node, query configuration information associated with a query-based decoder. The UE may transmit, to the network node and based at least in part on instantiation of the transmitter neural network by the UE, the at least one latent vector. Numerous other aspects are described.

    FRAMEWORK FOR SEMANTIC ENCODING AND DECODING IN A WIRELESS COMMUNICATION NETWORK

    公开(公告)号:US20240306000A1

    公开(公告)日:2024-09-12

    申请号:US18179953

    申请日:2023-03-07

    CPC classification number: H04W16/18 G06F40/30

    Abstract: Certain aspects of the present disclosure provide techniques for semantic communication. A method for wireless communications includes obtaining, by a semantic encoder, a set of real values for transmission to a receiving device; encoding, by the semantic encoder, the set of real values based on a semantic model and a first dimension of a set of dimensions, wherein each different dimension in the set of dimensions corresponds to a different number of real values to output; outputting an encoded set of real values; outputting the encoded set of real values for transmission to the receiving device over a wireless communication channel; obtaining feedback from the receiving device; and using a second dimension of the set of dimensions based on the feedback.

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