24 citations · 33 across the 10 of their papers we have counts for
10 papers
Large Multimodal Model-Based Environment-Aware Mobility Management
Seokhyun Jeong, Sangmok Shin, Seungnyun Kim +2
Recently, large language models (LLMs) have been successfully adopted in various fields, including wireless communications, robotics, and autonomous vehicles, owing to their outsta…
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
Hyun Jong Yang, Hyunsoo Kim, Hyeonho Noh +2
Large language models (LLMs) and large multimodal models (LMMs) have achieved unprecedented breakthrough, showcasing remarkable capabilities in natural language understanding, gene…
Transformer-assisted Parametric CSI Feedback for mmWave Massive MIMO Systems
Hyungyu Ju, Seokhyun Jeong, Seungnyun Kim +2
As a key technology to meet the ever-increasing data rate demand in beyond 5G and 6G communications, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems…
Deep Learning-aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems
Jinhong Kim, Yongjun Ahn, Seungnyun Kim +1
Terahertz (THz) communications is considered as one of key solutions to support extremely high data demand in 6G. One main difficulty of the THz communication is the severe signal…
Role of Sensing and Computer Vision in 6G Wireless Communications
Seungnyun Kim, Jihoon Moon, Jinhong Kim +5
Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancemen…
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies
Howon Lee, Byungju Lee, Heecheol Yang +5
Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with t…
Towards Intelligent Millimeter and Terahertz Communication for 6G: Computer Vision-aided Beamforming
Yongjun Ahn, Jinhong Kim, Seungnyun Kim +4
Beamforming technique realized by the multiple-input-multiple-output (MIMO) antenna arrays has been widely used to compensate for the severe path loss in the millimeter wave (mmWav…
Energy-Efficient Power Control and Beamforming for Reconfigurable Intelligent Surface-Aided Uplink IoT Networks
Jiao Wu, Seungnyun Kim, Byonghyo Shim
Recently, reconfigurable intelligent surface (RIS), a planar metasurface consisting of a large number of low-cost reflecting elements, has received much attention due to its abilit…
Energy-Efficient Ultra-Dense Network with Deep Reinforcement Learning
Hyungyu Ju, Seungnyun Kim, Youngjoon Kim +1
With the explosive growth in mobile data traffic, ultra-dense network (UDN) where a large number of small cells are densely deployed on top of macro cells has received a great deal…
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems
Seungnyun Kim, Jun Won Choi, Byonghyo Shim
Cell-free system where a group of base stations (BSs) cooperatively serves users has received much attention as a promising technology for the future wireless systems. In order to…