Intelligent Communication and Signal Processing Lab.

• 지능형 통신 및 신호처리 연구실에서는 인공지능 및 무선통신에 관심이 있는 학부생과 대학원생을 모집 중입니다.  연구 참여와 연구실 지원에 관심이 있는 학생들은 이메일(sclim@hongik.ac.kr)로 연락 주시기 바랍니다.

• ICSP Lab. is looking for highly motivated undergraduate and graduate students who are interested in artificial intelligence and wireless communication. If you are interested in joining our group, please contact us via email (sclim@hongik.ac.kr)  with your CV.

Intelligent communication and signal processing laboratory (ICSP Lab.) is a part of the School of Electronics and Electrical Engineering at Hongik University. Our research focuses on the theory and practice of communication, signal processing, and machine learning with applications to intelligent wireless systems. Our current research interests include, but are not limited to, the following topics: 

• Physical-layer technology for future wireless communication

• Artificial intelligence-based wireless communication and networks 

• Wireless distributed computing for high-speed big data processing

(09/2025) Effective September 1, 2025, ICSP Lab. has moved to the School of Electronics and Electrical Engineering, Hongik University.

(08/2024) Mr. Chan Hyung Kim has been selected for the 2025 Graduate Research Scholarship Program supported by the Ministry of Education of the Republic of Korea.

(08/2025) Congratulations to Mr. Seung Geon Yang on the successful completion of his Master’s degree! We deeply appreciate his dedication and passion, and we look forward to his continued success in future endeavors. 

(07/2025) Our paper has been accepted for publication in IEEE Transactions on Vehicular Technology.

• S. G. Yang, J. Kim, and S.-C. Lim, "High-accuracy path tracking for unmanned vehicle navigation: A hierarchical deep reinforcement learning approach," to appear in IEEE Transactions on Vehicular Technology.  [Link]

(06/2025) Seung Geon Yang and Eun Ho Cho received the Excellence Award of the Haedong Outstanding Paper Award at the KICS Summer Conference 2025!  [Link], [Picture]

(06/2025) Our papers were presented at the Symposium of the Korean Institute of Communications and Information Sciences (KICS2025–Summer), Jeju, South Korea.

• S. G. Yang, E. H. Cho, J. Kim, and S.-C. Lim, "Joint acceleration and steering control for high-precision path tracking in autonomous vehicles via deep reinforcement learning," in Proc. KICS2025-Summer, Jun. 2025.

• H. Cho, N.-I. Kim, H. Kim, J. Na, S.-C. Lim, H. Lee, "Deep reinforcement learning based optimal resource mangement for small cell networks by renewable energy," in Proc. KICS2025-Summer, Jun. 2025.

(05/2025) Geonhui Lee and Chan Hyung Kim received the Student Excellence Paper Awards at the KIICE Spring Conference 2025!  [Picture]

(05/2025) Our paper was presented at the 57th Symposium of the Korea Institute of Information and Communication Engineering (KIICE2025–Spring), Jeju, South Korea.

• G. Lee, C. H. Kim, and S.-C. Lim, "Learning signal constellations via deep learning: Design and analysis,"  in Proc. KIICE2023-Fall, May 2025.  

(04/2025) Effective April 1, 2025, Prof. Lim has been promoted to Associate Professor in the School of ICT, Robotics and Mechanical Engineering at Hankyong National University (HKNU).

(02/2025) Our paper has been accepted for publication in IEEE Internet of Things Journal.

• H. Cho, H. Kim, J. Na, S.-C. Lim, and H. Lee, "Multi-agent distributed DQN and transfer learning for energy-efficient power management in solar energy-harvested small-cell networks," to appear in IEEE Internet of Things Journal, 2025.  [Link]

(01/2025) Prof. Lim is participating in the IEEE SA Workshop on Semantic Communication and AI-RAN for 6G, held on 23–24 January 2025 at the University of Adelaide, SA, Australia.

(01/2025) Our paper was presented at the International Conference on Electronics, Information, and Communication (ICEIC) 2025, Osaka, Japan.

• E. H. Cho, S. G. Yang, G. Kwon, and S.-C. Lim, "Effect of EKF localization on path tracking in autonomous vehicle navigation systems," in Proc. ICEIC 2025, Jan. 2025.

(01/2025) Our paper was presented at the 39th International Conference on Information Networking (ICOIN 2025), Chiang Mai, Thailand.

• S. G. Yang, G. Kwon, and S.-C. Lim, "Q-learning-based task allocation for high-speed distributed computing in heterogeneous clusters," in Proc. ICOIN 2025, Jan. 2025.

(01/2025) Prof. Lim is serving as an Associate Editor for the Journal of the Korea Institute of Information and Communication Engineering (J. Korea Inst. Inf. Commun. Eng., JKIICE) in 2025.