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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…
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…