Sunwoo Kim

Professor

Hanyang University

South Korea

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About

Sunwoo Kim is a Professor at Hanyang University, South Korea. His research areas encompass advanced communication technologies, including UAV-ISAC networks, near-field localization, and quantum wireless sensing. He has published notable articles on optimizing scheduling and beamforming for IoT networks and developing localization algorithms leveraging deep neural networks.

Articles (20)

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2022

Collaborators (5)

Hyowon Kim

Chungbuk National University

SOUTH KOREA

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Sangwoo Lee

Head

Galaxy i Technologies Inc

SOUTH KOREA

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Songnam Hong

Hanyang University

SOUTH KOREA

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Seung-Woo Ko

Assistant Professor

Inha University

SOUTH KOREA

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Demetrios Zeinalipour-Yazti

CYPRUS

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Sunwoo Kim

Research Interests

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About

Articles (20)

Near-Field Localization With RIS via Two-Dimensional Signal Path Classification

Towards Cooperative Localization With Implicit Connectivity: Graph Neural Network Approach

A selective update sensing approach for UAV-ISAC enabled relaying network

Near-Field Channel Estimation for XL-RIS Assisted Multi-User XL-MIMO Systems: Hybrid Beamforming Architectures

Optimized Scheduling and Beamforming for Enhanced Efficiency in Wireless-Powered IoT Networks

Multi-Band Quantum Wireless Sensing for Rydberg Atomic Receivers

Quantum-MUSIC: Multiple Signal Classification for Quantum Wireless Sensing

Reconfigurable mmWave Planar Phased Array Featuring Wide Elevation and Full Azimuth Spatial Coverage for 5G Vehicular Application

Efficient Multi-User Channel Estimation for RIS-Aided mmWave Systems Using Shared Channel Subspace

DNN-Based Car Key Localization Algorithm with UWB

RIS-Enabled and Access-Point-Free Simultaneous Radio Localization and Mapping

A tutorial on Federated Learning methodology for indoor localization with non-IID fingerprint databases

Cramér–Rao Lower Bound Analysis of Differential Signal Strength Fingerprinting for Crowdsourced IoT Localization

Machine Learning-Based Joint Vital Signs and Occupancy Detection With IR-UWB Sensor

Smartphone-Based Indoor Localization via Network Learning With Fusion of FTM/RSSI Measurements

Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications

Expected Effect of Adopting the eCall System on Reducing Traffic-Related Deaths and Social Costs

Dropout Autoencoder Fingerprint Augmentation for Enhanced Wi-Fi FTM-RSS Indoor Localization

Location-aware Beam Training and Multi-dimensional ANM-based Channel Estimation for RIS-aided mmWave Systems

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP

Collaborators (5)

Hyowon Kim

Sangwoo Lee

Songnam Hong

Seung-Woo Ko

Demetrios Zeinalipour-Yazti

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