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Yongjun Ahn
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 18
Top Topics
Deep Learning
Active User
Wireless Systems
Region Connection Calculus
Top Venues
ICTC
CoRR
ICC
APWCS
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Publications
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Seungnyun Kim
,
Jihoon Moon
,
Jinhong Kim
,
Yongjun Ahn
,
Donghoon Kim
,
Sunwoo Kim
,
Kyuhong Shim
,
Byonghyo Shim
Role of Sensing and Computer Vision in 6G Wireless Communications.
CoRR
(2024)
Yongjun Ahn
,
Inkook Keum
,
Jinwoo Son
,
Byonghyo Shim
Deep Learning-based Localization Using Spatial Information in the NLoS Scenarios.
ICTC
(2023)
Jinhong Kim
,
Yongjun Ahn
,
Byonghyo Shim
Massive Data Generation for Deep Learning-Aided Wireless Systems Using Meta Learning and Generative Adversarial Network.
IEEE Trans. Veh. Technol.
72 (1) (2023)
Yongjun Ahn
,
Jinhong Kim
,
Seungnyun Kim
,
Kyuhong Shim
,
Jiyoung Kim
,
Sangtae Kim
,
Byonghyo Shim
Toward Intelligent Millimeter and Terahertz Communication for 6G: Computer Vision-Aided Beamforming.
IEEE Wirel. Commun.
30 (5) (2023)
Wonjun Kim
,
Yongjun Ahn
,
Jinhong Kim
,
Byonghyo Shim
Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G.
J. Commun. Networks
25 (1) (2023)
Yongjun Ahn
,
Jinhong Kim
,
Sunwoo Kim
,
Byonghyo Shim
Computer Vision-Aided Proactive Mobility Management for 6G Terahertz Communications.
GLOBECOM
(2023)
Yongjun Ahn
,
Wonjun Kim
,
Byonghyo Shim
Active User Detection and Channel Estimation for Massive Machine-Type Communication: Deep Learning Approach.
IEEE Internet Things J.
9 (14) (2022)
Jinhong Kim
,
Yongjun Ahn
,
Seungnyun Kim
,
Byonghyo Shim
Parametric Sparse Channel Estimation Using Long Short-Term Memory for mmWave Massive MIMO Systems.
ICC
(2022)
Kyungjoo Suh
,
Sunwoo Kim
,
Yongjun Ahn
,
Seungnyun Kim
,
Hyungyu Ju
,
Byonghyo Shim
Deep Reinforcement Learning-Based Network Slicing for Beyond 5G.
IEEE Access
10 (2022)
Jinwoo Son
,
Inkook Keum
,
Yongjun Ahn
,
Byonghyo Shim
D-TLoc: Deep Learning-aided Hybrid TDoA/AoA-based Localization.
APWCS
(2022)
Yongjun Ahn
,
Jinhong Kim
,
Byonghyo Shim
On the Design Principles for Deep Learning-based Wireless Data Collection and Channel Estimation.
ICTC
(2022)
Jinhong Kim
,
Yongjun Ahn
,
Byonghyo Shim
Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network.
CoRR
(2022)
Yongjun Ahn
,
Byonghyo Shim
Deep Learning-Based Beamforming for Intelligent Reflecting Surface-Assisted mmWave Systems.
ICTC
(2021)
Wonjun Kim
,
Yongjun Ahn
,
Byonghyo Shim
Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems.
IEEE Trans. Commun.
68 (4) (2020)
Yongjun Ahn
,
Wonjun Kim
,
Byonghyo Shim
Deep Neural Network-based Joint Active User Detection and Channel Estimation for mMTC.
ICC
(2020)
Mugeon Song
,
Maverick S. H. Oh
,
Yongjun Ahn
,
Keun-Young Kim
Deep Learning for Classical Mechanics.
CoRR
(2020)
Wonjun Kim
,
Guyoung Lim
,
Yongjun Ahn
,
Byonghyo Shim
Active User Detection of Machine-Type Communications via Dimension Spreading Neural Network.
ICC
(2019)
Yongjun Ahn
,
Chulmin Jun
,
Hwasoo Yeo
Analysing driving patterns of electric taxi based on the location of charging station in urban area.
ISC2
(2016)