COMMUNICATION TECHNIQUES APPLYING LOW-DENSITY PARITY-CHECK CODE BASE GRAPH SELECTION

    公开(公告)号:US20250167920A1

    公开(公告)日:2025-05-22

    申请号:US19033823

    申请日:2025-01-22

    Abstract: Certain aspects of the present disclosure generally relate to techniques for selecting a base graph to be used for wireless communications. Selection can be based on a variety of factors. A base graph can be used to derive a low-density parity-check (LDPC) code used for encoding a retransmission of an original transmission. An exemplary method generally includes selecting, based on a modulation and coding scheme (MCS) and a resource allocation (RA) for transmitting a codeword, a base graph (BG), from which to derive a low density parity check (LDPC) code for use in encoding data bits in the codeword (e.g., encoding data bits of a bitstream such that some redundant bits are included in the codeword), encoding the data bits to generate the codeword using the LDPC code derived from the selected BG, and transmitting the codeword using the MCS via resources of the RA.

    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.

Patent Agency Ranking