ASYNCHRONOUS MULTIPLE ACCESS METHOD AND DEVICE FOR LOW LATENCY SERVICE

    公开(公告)号:US20180146445A1

    公开(公告)日:2018-05-24

    申请号:US15572030

    申请日:2016-03-22

    Abstract: Disclosed is an asynchronous multiple access method and device for a low latency service. The asynchronous multiple access method for low latency service may include the steps of: grouping, by an eNB, each of a plurality of UEs into one UE group among a plurality of UE groups in consideration of each of a plurality of propagation delays of each of the plurality of UEs; receiving, by the eNB, each of a plurality of pieces of uplink data transmitted by each of the plurality of UE groups on each of a plurality of wireless resources allocated for each of the plurality of UE groups at an internal access timing; and transmitting, by the eNB to each of the plurality of UE groups, each of a plurality of ACKs/NACKs signals in response to each of a plurality of uplink frames, wherein the internal access timing can be periodically defined in a symbol unit for the synchronization of transmitting times of the plurality of pieces of uplink data.

    METHOD FOR PERFORMING TRANSFER LEARNING, COMMUNICATION DEVICE, PROCESSING DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250097119A1

    公开(公告)日:2025-03-20

    申请号:US18726926

    申请日:2022-01-06

    Abstract: The communication device can perform hierarchical transfer learning (TL). The communication device may comprise: receiving information about channel characteristics from a plurality of user equipments including a first user equipment; mapping the plurality of user equipments to a plurality of TL levels and a plurality of groups for each of the plurality of TL levels on the basis of the information about the channel characteristics; and training a neural network of the first user equipment on the basis of the TL levels and the groups to which the plurality of user equipments is mapped. Training of the neural network of the first user equipment can comprise training a training portion for a first TL level from among TL levels to which the first user equipment is mapped.

    METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20250008449A1

    公开(公告)日:2025-01-02

    申请号:US18294877

    申请日:2021-08-03

    Abstract: Proposed are a method for performing federated learning in a wireless communication system, and an apparatus therefor. The method performed by a terminal may comprise the steps of: generating a Q-ary code including i) a restriction-based system part and ii) a parity part by coding restriction-based Q-ary information; determining, on the basis of a preset method, the number T of transmissions of the parity part of the Q-ary code; on the basis of specific channel information from among channel information between a plurality of terminals and a base station participating in the federated learning, allocating power to the system part and T parity parts; and transmitting, on the basis of the allocated power, the system part and the T parity parts to the base station.

    METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20240394602A1

    公开(公告)日:2024-11-28

    申请号:US18687698

    申请日:2021-09-01

    Abstract: The present specification provides a method by which a plurality of terminals perform federated learning in a wireless communication system. More particularly, the method performed by one terminal comprises the steps of: receiving, from a base station, a first downlink signal for requesting information regarding learning data for the federated learning, which is used by the one terminal; transmitting, to the base station, the information regarding the learning data on the basis of a type of learning data, the information regarding the learning data being information related to the distribution of the learning data used by the one terminal; receiving, from the base station, a second downlink signal including parameter information regarding a parameter related to a configuration for performing the federated learning, which has been determined on the basis of the learning data; and performing the federated learning on the basis of the information regarding the parameter.

    METHOD AND DEVICE FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20240223407A1

    公开(公告)日:2024-07-04

    申请号:US18563196

    申请日:2021-05-21

    CPC classification number: H04L25/024 G06N3/098 H04L25/0204 H04W72/23

    Abstract: The present disclosure provides a method of performing, by a plurality of user equipments (UEs), a federated learning in a wireless communication system. More specifically, the method performed by one UE of the plurality of UEs comprises receiving, from a base station (BS), control information related to a scheduling of a resource on which the one UE repeatedly transmits a local parameter of the one UE, wherein a global parameter for the federated learning is updated based on respective local parameters of the plurality of UEs: transmitting, to the BS, a first signal including the local parameter of the one UE on a first resource scheduled based on the control information; and transmitting, to the BS, a second signal including the local parameter of the one UE on a second resource that is scheduled based on the control information and is different from the first resource, wherein the first signal and the second signal are transmitted based on the first signal and the second signal being in a complex conjugate relationship.

    METHOD AND DEVICE FOR ADJUSTING SPLIT POINT IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20240086743A1

    公开(公告)日:2024-03-14

    申请号:US18269437

    申请日:2021-12-01

    CPC classification number: G06N5/04 H04W24/02

    Abstract: Disclosed herein is a method of operating a terminal in a wireless communication system. As an example of the present disclosure, the method may include: receiving information on at least one of a first split point and a second split point from a base station; performing first split inference based on the first split point and generating first intermediate data; transmitting the first intermediate data to the base station; receiving second intermediate data generated based on the second split point from the base station; performing remaining split inference from the second split point based on the second intermediate data; and adjusting the second split point based on the second intermediate data.

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