Lg Electronics Inc.

Korea Advanced Institute of Science and Technology

Korea University Research and Business Foundation

Sangrim Lee

Hojae Lee

Kwangseok Noh

Dongkyu Kim

Hyunsoo Ko

Kukheon Choi

Jaehoon Chung

Myeongjin Kim

Kijun Jeon

Kijun Kim

Byounghoon Kim

Jinmin Kim

Eunjong Lee

Genebeck Hahn

Hyukjin Chae

Gwanmo Ku

Jiwon Kang

Haewook Park

Woonghee Lee

Sungjin Kim

Sangwook Han

Jayeong Kim

Byungkyu Ahn

Hanbyul Seo

Yunjung Yi

Seungmin Lee

Sukhyon Yoon

Bonghoe Kim

Kilbom Lee

Ilmu Byun

Suckchel Yang

Minki Ahn

Yeongjun Kim

Jonghyun Park

Kyungho Lee

Seongjae Kim

Dongho Cho

Sangmi Noh

Dangoh Kim

Seungwon Keum

Juyong Lee

Daesung Hwang

Hyungtae Kim

Changhwan Park

Eunsun Kim

Ikjoo Jung

Joonkui Ahn

Seonwook Kim

Heejin Kim

Sunam Kim

Hoon Sik Kim

Hyunsu Cha

Woochan Kim

Inkyu Lee

Taehyun Lee

Kaibin Huang

Kyungmin Woo

Dingzhu Wen

According to the present document, a method by which a terminal receives data in a wireless communication system comprises: receiving a channel signal and a reference signal (RS) from a base station; generating a sequence by performing an operation of equalizing the RS to a channel RS; and decoding the received channel signal on the basis of the generated sequence, wherein the operation of equalizing the RS to the channel RS is based on a parameter determined according to a machine learning process.

Method and apparatus for transceiving and receiving wireless signal in wireless communication system

The present specification provides a method for estimating a quantum bit error rate (QBER) for key information, performed by a device in a quantum cryptography communication system, the method and device being characterized by: receiving a random access (RA) preamble from another device; transmitting a random access response (RAR) to the other device, in response to the RA preamble, performing a radio resource control (RRC) connection process with the other device; receiving data from the other device; and decoding the data on the basis of the key information, wherein the key information is determined on the basis of estimation of the QBER, and the device estimates the QBER on the basis of first two-dimensional parity information received from the other device through a public channel.

Method and device for estimating quantum bit error rate on basis of maximum bit group and two-dimensional parity

A method performed by means of a first wireless device in a wireless communication system, according to one embodiment of the present specification, comprises the steps of: transmitting, to a second wireless device, a first signal to which a first specific beam is applied; transmitting, to the second wireless device, a second signal to which a second specific beam is applied; receiving, from the second wireless device, feedback information generated on the basis of the first signal and the second signal; and determining, on the basis of the feedback information, a beam related to the second wireless device.

Method for controlling beam in wireless communication system, and apparatus therefor

A method performed by a first wireless device in a wireless communication system, according to one embodiment of the present specification, comprises the steps of: transmitting, to a second wireless device, a signal to which a specific beam is applied; receiving, from the second wireless device, feedback information generated on the basis of the signal; and determining, on the basis of the feedback information, a beam related to the second wireless device.

A transmission device in a wireless communication system: maps respective reference signals for a plurality of antennas to frequency resources; and transmits the reference signals on the frequency resources. Mapping the reference signals to the frequency resources comprises mapping the reference signals such that: (i) the frequency difference between a frequency resource ffor a reference signal of an antenna Vand a frequency resource ffor a reference signal of an antenna Vis Δf; and (ii) the frequency difference between the frequency resource fand a frequency resource ffor a reference signal of an antenna Vis Δf, wherein m is an antenna index along a first direction, and n is an antenna index along a second direction orthogonal to the first direction.

Method, transmission device, processing device, and storage medium for transmitting reference signal, and method and reception device for receiving reference signal

A signal transmission method performed by means of a terminal for performing federated learning in a wireless communication system is provided. According to the signal transmission method, the terminal receives downlink control information (DCI) from a base station, the DCI informing of a specific computation group ID and a modulation and coding scheme (MCS), modulates and encodes data on the basis of the MCS when the specific computation group ID is the same as a computation group ID allocated to the terminal, the data including a parameter related to the federated learning performed by the terminal, and transmits a signal including the data to the base station on the basis of the modulation and encoding.

Digital aircomp signaling

The present specification relates to a method and a device for randomizing a signal that satisfies ε-differential privacy, the method receiving a signal having a specific value of a bit error rate (BER), and generating a randomized signal on the basis of the signal, and then transmitting the randomized signal to a machine learning server. If a differential privacy mechanism is provided in a physical layer, true randomness of a wireless channel causes security to be less vulnerable than that of a pseudo random mechanism provided by an application, communication delay is reduced, and the power of the device can be reduced.

Signal randomization method and device of communication apparatus

Disclosed is a method for aligning gradient symbols by using bias regarding AirComp in a signal amplitude range of a receiver. A method for aligning gradient symbols according to an embodiment of the present disclosure comprises the steps of: performing iteration of gradient values included in a first planar vector and applying clipping and bias values so as to obtain a second planar vector having gradient values in which symbols are aligned; and transmitting the second planar vector together with channel information to a server in the form of AirComp. Various embodiments of the present disclosure may be linked to an artificial intelligence module, a drone (unmanned aerial vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Method for aligning gradient symbols by using bias regarding aircomp in signal amplitude range of receiver

A receiver used in an optical wireless communication system is provided. The receiver comprises: a receiving aperture for receiving an optical signal; a coupler for separating the optical signal received by means of the receiving aperture into a main signal and a sensing signal; a sensor for determining a control voltage Von the basis of the sensing signal; and a detector for outputting an electric signal which is an output voltage V on the basis of the main signal and control voltage V. The detector is formed such that the transfer function of the detector changes on the basis of the control voltage V.

Method and receiver for receiving optical signal in optical wireless communication system

A method for performing reinforcement learning by a V2X communication device in an autonomous driving system, specifically, a method for performing reinforcement learning in consideration of a reward application ratio over time, is proposed. Action information is transmitted to a second V2X communication device, reward information is received from the second V2X communication device, and reinforcement learning is performed on the basis of a reward, wherein a reward corresponding to a ratio determined by a first V2X communication device is applied to the reinforcement learning, the ratio is determined on the basis of a time interval from a time point of transmission of the action information to a time point of reception of the reward information, and the ratio is between 0 and 1, both inclusive.

Method for performing reinforcement learning by V2X communication device in autonomous driving system

The present specification provides a method, performed by an apparatus, for transmitting at least one beam in a wireless communication system, the method comprising transmitting the at least one beam to another apparatus and receiving information about a result of measuring the at least one beam from the other apparatus, wherein the at least one beam is a beam generated on the basis of a signal synthesized from a laser signal being incident on a meta surface from a power controller, the laser signal consists of a plurality of frequency components, the synthesized signal is a signal in which power amplification is applied to each of the plurality of frequency components, and the power amplification is applied on the basis of the intensity regarding each of the plurality of frequency components.

Frequency comb power control apparatus for 4D beamforming, and method therefor

A method for estimating a phase noise by a wireless device in a wireless communication system according to an embodiment of the present disclosure comprises the steps of: receiving a pre-configured pilot signal and a phase tracking reference signal (PTRS); calculating a first phase noise on the basis of the pre-configured pilot signal; calculating a common phase error (CPE) on the basis of the phase tracking reference signal (PTRS); and estimating a phase noise (PN) on the basis of the first phase noise and the common phase error (CPE). The PN is estimated through interpolation based on a specific reference point, and the specific reference point is based on the first phase noise and the CPE.

Method and apparatus for estimating phase noise in wireless communication system

The present specification provides a method and a device, the method, performed by a device, for transmitting a first pulse train in a quantum communication system being characterized by: receiving a random access (RA) preamble from another device; transmitting an RA response (RAR) to the other device as a response to the RA preamble; performing a radio resource control (RRC) connection process with the other device; receiving data from the other device; and decoding the data on the basis of key information, wherein a first pulse train is generated in a laser diode of the device, and the key information is determined on the basis that the first pulse train passes through both a first path and a second path and is then transmitted from the device to the other device via a quantum channel.

Method and device for multi-wavelength plug-and-play quantum key distribution without time delay due to wavelength conversion

Provided is a method and device for correcting an error in a communication system, the method including: transmitting, to another device, data encrypted based on key information. The key information is obtained by: incident a detection pulse on a variable Faraday rotating mirror and a reference pulse on a first mirror, respectively, wherein the detection pulse and the reference pulse are pulses branched from a test pulse; generating a first current in a balanced photodetector (BPD) based on a first component obtained as the detection pulse is reflected from the variable Faraday rotating mirror and a second component obtained as the reference pulse is reflected from the first mirror; converting the first current into a second current; incident the second current on the variable Faraday rotating mirror; and correcting the error in the variable Faraday rotating mirror based on the incident second current.

Method and apparatus for correcting polarization distortion of faraday rotating mirror in plug-and-play quantum key distribution system

Disclosed is a method by which a terminal controls the calculations of a deep neural network in a wireless communication system. A method according to one embodiment of the present disclosure receives a downlink from a base station of a wireless communication system by using a multi input multi output (MIMO) operation, pre-processes the downlink on the basis of a result of calculations of a deep neural network in a terminal, acquires the number of a plurality of transmission antennas connected to the terminal, acquires the number of a plurality of reception antennas connected to the terminal, and forms a plurality of overlapping neural networks overlapping in the deep neural network, on the basis of a preset number of reference antennas, the number of transmission antennas, and the number of reception antennas. The terminal of the present disclosure can be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 6G services, and the like.

Method for controlling calculations of deep neural network in wireless communication system, and apparatus therefor

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Seoul, South Korea

Sangrim Lee