MIN JEONG KANG
Min Jeong Kang (강민정)
Contact Information
Email: love_minmin926@hufs.ac.kr
Office: Hankuk University of Foreign Studies (HUFS) Engineering Building #508
Address: 81, Oedae-ro, Mohyeon-eup, Cheoin-gu, Yongin-si, Gyeonggi-do, Republic of Korea (17035)
Research Topics
Wireless communication
Machine learning
Education
(2022-Present) PhD student in Electronics Engineering Hankuk University of Foreign studies (HUFS), Yongin, Korea
Research Advisor: Prof. Jung Hoon Lee (Homepage)
(2020-2022) MS in Electronics Engineering Hankuk University of Foreign studies (HUFS), Yongin, Korea
Research Advisor: Prof. Jung Hoon Lee (Homepage)
Thesis: Machine learning-based resource allocation for complexity reduction in wireless communication systems
(2015-2020) BS in Electronics Engineering and Chemistry (Double major) Hankuk University of Foreign studies (HUFS), Yongin, Korea
Publications
International Journal
M. J. Kang and J. H. Lee, “Machine Learning Based NOMA for MISO Broadcast Channels,” submitted to , IEEE Transactions on Vehicular Technology.
M. J. Kang and J. H. Lee, “Machine Learning Based Multi-level Power Loading for Massive Parallel Gaussian Channels,” in preparation
Domestic Journal
강민정, 이정훈, “MISO BC 채널에서 기계학습 기반 비직교 다중 접속 구현," 한국통신학회논문지, vol. 47, no. 6, June. 2022
International Conference
M. J. Kang and J. H. Lee, “Machine Learning Based Power Loading for Massive Parallel Gaussian Channels,” International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Feb. 2022.
M. J. Kang, J. H. Lee and S. H. Chae, “Channel Estimation with DnCNN in Massive MISO LEO Satellite Systems,” International Conference on Ubiquitous and Future Networks (ICUFN), July. 2023.
Domestic Conference
강민정, 이정훈, “SISO NOMA 시스템에서 머신러닝을 활용한 복호 기술,” 2021 Joint Conference on Communication and Information (JCCI), Apr.2021.
강민정, 이정훈, “MISO NOMA 브로드캐스트 시스템에서 머신러닝을 활용한 복호 기술,” 2021 년도 한국통신학회 하계종합학술발표회 논문집 , June. 2021.
강민정, 이정훈, “Massive Gaussian Parallel 채널에서 머신러닝을 활용한 다중 레벨 파워 로딩 기법,” 2022 Joint Conference on Communication and Information (JCCI), Apr. 2022.
강민정, 이정훈, “MISO 밀리미터파 시스템에서 디노이즈 기계학습 모델 기반 채널 추정 기법,” 2023 년도 한국통신학회 동계종합학술발표회 논문집, Feb. 2023.
강민정, 이정훈, 채승호, “Massive MISO 저궤도 위성 시스템에서 DnCNN 기반 채널 추정,” 2023 Joint Conference on Communication and Information (JCCI), Apr.2023.