Yongjun Ahn
Orcid: 0000-0003-0914-9330
According to our database1,
Yongjun Ahn
authored at least 21 papers
between 2016 and 2024.
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Bibliography
2024
Deep Learning-Aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems.
IEEE Trans. Cogn. Commun. Netw., December, 2024
IEEE Wirel. Commun., October, 2024
Sensing and Computer Vision-Aided Mobility Management for 6G Millimeter and Terahertz Communication Systems.
IEEE Trans. Commun., October, 2024
Computer Vision-Aided Beamforming for 6G Wireless Communications: Dataset and Training Perspective.
Proceedings of the IEEE International Conference on Communications, 2024
2023
Toward Intelligent Millimeter and Terahertz Communication for 6G: Computer Vision-Aided Beamforming.
IEEE Wirel. Commun., October, 2023
Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G.
J. Commun. Networks, February, 2023
Massive Data Generation for Deep Learning-Aided Wireless Systems Using Meta Learning and Generative Adversarial Network.
IEEE Trans. Veh. Technol., 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Active User Detection and Channel Estimation for Massive Machine-Type Communication: Deep Learning Approach.
IEEE Internet Things J., 2022
On the Design Principles for Deep Learning-based Wireless Data Collection and Channel Estimation.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Parametric Sparse Channel Estimation Using Long Short-Term Memory for mmWave Massive MIMO Systems.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022
2021
Deep Learning-Based Beamforming for Intelligent Reflecting Surface-Assisted mmWave Systems.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
2020
IEEE Trans. Commun., 2020
Deep Neural Network-based Joint Active User Detection and Channel Estimation for mMTC.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
Active User Detection of Machine-Type Communications via Dimension Spreading Neural Network.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2016
Analysing driving patterns of electric taxi based on the location of charging station in urban area.
Proceedings of the IEEE International Smart Cities Conference, 2016