公开(公告)号：US20230337131A1

公开(公告)日：2023-10-19

申请号：US17925115

申请日：2021-01-25

Applicant: Korea University Research and Business Foundation

Inventor： In Kyu LEE ,  Su Bin EOM

IPC: H04W52/02

CPC classification number: H04W52/0206

Abstract: The present disclosure relates to a method and an apparatus for asynchronously allocating resources in a mobile edge computing (MEC) system. A method for asynchronously allocating resources in a base station of an MEC system, according to one embodiment of the present disclosure, may comprise the steps of: determining the optimal value of a predetermined variable for energy consumption minimization of the MEC system for a predetermined time period by using basic information about each of the base station, a server, and one or more terminals; transmitting configuration information about the optimal value to each of the server and the one or more terminals; and allocating a resource to each of the base station, the server, and the one or more terminals on the basis of the optimal value. Herein, the predetermined variable can include one or more from among a transmission power variable (P), a resource allocation ratio variable (W), a time duration length variable (T), and an offload-residual data partition variable (O).

公开(公告)号：US20240323710A1

公开(公告)日：2024-09-26

申请号：US18272528

申请日：2022-08-31

Applicant: Korea University Research and Business Foundation

Inventor： In Kyu LEE ,  Min Seok KIM ,  Hong Ju LEE

IPC: H04W24/02 ,  H04W28/06 ,  H04W72/044

CPC classification number: H04W24/02 ,  H04W28/06 ,  H04W72/044

Abstract: The present disclosure relates to a machine learning-based resource allocation method and device in a wireless communication system. A method of performing resource allocation in a wireless communication system according to an embodiment of the present disclosure may include acquiring DNN output information through a deep neural network (DNN) based on input H corresponding to wireless channel-related information; acquiring resource allocation matrix X having a form of a permutation matrix through an approximation operation to a doubly stochastic matrix based on input A corresponding to the DNN output information; and allocating M resource elements belonging to a set of first type resources to N resource elements belonging to a set of second type resources based on the resource allocation matrix.

公开(公告)号：US20250145177A1

公开(公告)日：2025-05-08

申请号：US18935015

申请日：2024-11-01

Applicant: Korea University Research and Business Foundation

Inventor： In Kyu LEE ,  Jae Wan KIM

IPC: B60W60/00 ,  G01C21/34

Abstract: A method of setting an autonomous driving route using wireless communication environment information for a vehicle capable of driving in an autonomous driving mode comprises: a first step of receiving regional wireless communication environment information from a communication company server; a second step of receiving real-time traffic information from a control server; a third step of receiving a destination from a user; and a fourth step of setting an autonomous driving route from a current location of the user or a starting point input by the user to the destination by reflecting the wireless communication environment information and the real-time traffic information.

公开(公告)号：US20240235646A1

公开(公告)日：2024-07-11

申请号：US18559172

申请日：2021-12-14

Applicant: Korea University Research and Business Foundation

Inventor： In Kyu LEE ,  Jeonghyeon JANG

IPC: H04B7/06 ,  H04B7/0456

CPC classification number: H04B7/0663 ,  H04B7/0456

Abstract: The present disclosure relates to a machine learning-based vector quantization method and device for limited feedback in a wireless communication system. The method for providing feedback on a selection vector by a reception terminal in a wireless communication system according to one embodiment of the present disclosure comprises the steps of: obtaining a feature matrix on the basis of a reception signal from a transmission terminal; obtaining a selection vector with respect to one or more codeword candidates included in a predetermined codebook, on the basis of the feature matrix; and sending feedback on the selection vector to the transmission terminal, wherein the selection vector comprises the same number of elements as the number of the one or more codeword candidates and may comprise one or more elements which are not 0.