Dongsun Kim

Dongsun Kim (김동선)

Ph. D. Candidate

Department of Electrical Engineering and Computer Science (EECS)

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Education

Integrated Ph. D. in Electrical Engineering and Computer Science

Feb. 2018 - Present

Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea

Supervisor: Prof. Jemin Lee, and Prof. Sungjin Lee

B.S. in School of Undergraduate Studies

Mar. 2014 - Feb. 2018

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Research Interest

Wireless Networks and Blockchain-enabled Networks
- UAV Networks and Ultra Dense Networks
- Wireless Sensor Networks
- Permissioned Blockchain-Enabled Networks
Practical Machine Learning
- Reinforcement Learning and Multi-agent Reinforcement Learning for Wireless Networks or Blockchain
- Natural Language Processing and Applications

Publications

* : Corresponding Author

Chapters In Books

H. Cho, D. Kim, and J. Lee, "3D-based base station deployment in ultra dense networks," in Ultra Dense Networks: Principles and Technologies, Cambridge University Press, Dec. 2020.
M. Kim, D. Kim, and J. Lee, "Aerial networks," in Wiley 5G Ref, Wiley, Dec. 2019. [Wiley Online Library]

Journal Papers

Submitted

D. Kim, S. Yun, S. Lee, J. Lee*, and T. Q.S. Quek, "Reinforcement Learning-based Sensing Decision for Data Freshness in Blockchain-empowered Wireless Networks," IEEE Wireless Communications Letters, submitted.
D. Kim, S. Yun, S. Lee, J. Lee*, and D. Niyato, "Intelligent transaction generation control for permissioned blockchain-enabled networks," IEEE Transactions on Services Computing, submitted.
S. Yun, D. Kim, S. Lee, and J. Lee*, "i-CU: Intelligent cache and update for fresh content acquisition in cloud-edge networks," to be submitted.
D. Kim, S. Yun, E. Park, and J. Lee*, "IA-MARL: Imputation assisted multi-agent reinforcement learning for missing training data," IEEE Transactions on Neural Networks and Learning Systems, submitted.
S. Yun, D. Kim, and J. Lee*, "Learning-based activation of energy-harvesting sensors for data freshness in wireless monitoring networks," IEEE Internet of Things Journal, submitted.

Published/Accepted

H. Cho, S. Mukherjee, D. Kim, T. Noh, and J. Lee*, "Facing to wireless network densification in 6G: Challenges and opportunities," ICT Express, Oct. 2022. [Link]
S. Mukherjee, D. Kim, and J. Lee*, "Base station coordination scheme for multi-tier ultra-dense networks," IEEE Transactions on Wireless Communications, Vol. 20, No. 11, pp. 7317 - 7332, Nov., 2021. [arXiv][IEEE Xplore] (Top 10% Journal in JCR)
D. Kim, J. Lee*, and T. Q. S. Quek, "Multi-layer unmanned aerial vehicle networks: Modeling and performance analysis," IEEE Transactions on Wireless Communications, Vol. 19, No. 1, Jan. 2020.[arXiv] [IEEE Xplore] (Top 10% Journal in JCR)

International Conference Papers

S. Mukherjee, D. Kim, H. Cho, and J. Lee, "A novel coordinated multi-point downlink transmission scheme for ultra-dense networks," in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, Apr. 2020, pp. 1-6.
D. Kim, J. Lee, and T. Q. S. Quek, "Performance analysis for multi-layer unmanned aerial vehicle networks," in Proc. IEEE Global Commun. Conf. (Globecom) Workshop, Abu Dhabi, Dec. 2018, pp. 1-6. [arXiv]

Patents

S. Mukherjee, D. Kim, H. Cho, and J. Lee, “초고밀도 네트워크를 위한 협력 기지국 설정방법” South Korea Patent 10-2364391, Feb 14, 2022 (South Korea Patent Application 10-2020-0040782, Apr. 03, 2020).

Projects

Extreme Exploitation of Dark Data Research Center (암흑데이터 극한활용 연구센터)
- Participant, NRF (연구재단, 선도연구센터) (Jan. 2022 - Present)
Development of Radio Transmission Technologies for High Capacity and Low Cost in Ultra Dense Networks (고밀집 네트워크(UDN) 환경에서 고용량, 저비용 달성을 위한 무선전송 기술 개발)
- Participant, IITP (정보통신기술진흥센터) (Jul. 2018 - Dec. 2022)

Honors and Awards

Personal Project