24 citations · 47 across the 5 of their papers we have counts for
5 papers
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 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…
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G
Wonjun Kim, Yongjun Ahn, Jinhong Kim +1
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great promise in various disciplines such as image classification and segmentation, speech recogn…
Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network
Jinhong Kim, Yongjun Ahn, Byonghyo Shim
As an entirely-new paradigm to design the communication systems, deep learning (DL), an approach that the machine learns the desired wireless function, has received much attention…