Role of Sensing and Computer Vision in 6G Wireless Communications

1 code implementation • 7 May 2024 • Seungnyun Kim, Jihoon Moon, jinhong Kim, Yongjun Ahn, Donghoon Kim, Sunwoo Kim, Kyuhong Shim, Byonghyo Shim

Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse.

Autonomous Driving

Towards Intelligent Millimeter and Terahertz Communication for 6G: Computer Vision-aided Beamforming

no code implementations • 6 Sep 2022 • Yongjun Ahn, jinhong Kim, Seungnyun Kim, Kyuhong Shim, Jiyoung Kim, Sangtae Kim, Byonghyo Shim

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 (mmWave) bands.

Management Quantization

Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G

no code implementations • 5 Sep 2022 • Wonjun Kim, Yongjun Ahn, jinhong Kim, Byonghyo Shim

Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great promise in various disciplines such as image classification and segmentation, speech recognition, language translation, among others.

Image Classification Model Selection +2

AdS/Deep-Learning made easy: simple examples

no code implementations • 27 Nov 2020 • Mugeon Song, Maverick S. H. Oh, Yongjun Ahn, Keun-Young Kim

Deep learning has been widely and actively used in various research areas.