activity
20192024
most citedRole of Sensing and Computer Vision in 6G Wireless Communications

24 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2024★ 4 cited

VOMTC: Vision Objects for Millimeter and Terahertz Communications

Sunwoo Kim, Yongjun Ahn, Daeyoung Park +1

Recent advances in sensing and computer vision (CV) technologies have opened the door for the application of deep learning (DL)-based CV technologies in the realm of 6G wireless co…

eess.SP2024

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…

cs.CV2024★ 24 cited

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…

eess.SP2022★ 1 cited

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…

eess.SP2022★ 2 cited

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…

cs.IT2022★ 20 cited

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…

eess.SP2019★ 7 cited

Deep Neural Network Based Active User Detection for Grant-free NOMA Systems

Wonjun Kim, Youngjun Ahn, Byonghyo Shim

As a means to support the access of massive machine-type communication devices, grant-free access and non-orthogonal multiple access (NOMA) have received great deal of attention in…