Connected & Autonomous Mobility Laboratory

About CAM Lab

Connected & Autonomous Mobility Laboratory (CAM Lab) is affiliated with the Department of Automotive Engineering, Hanyang University, Korea.

Our research focuses on the fundamentals and applications of Wireless Communication and AI (Machine Learning, Deep Learning, and Reinforcement Learning). We aim to advance future mobility services through Connected Autonomous Driving, UAV & Satellite Communications, and Radio Technology.

We are actively looking to recruit both M.S./Ph.D. students and postdoctoral fellows to join our group. If you are interested, please feel free to reach out to Prof. Jo at hsjo23@hanyang.ac.kr by submitting your CV. We look forward to hearing from talented individuals who are eager to contribute to our research and collaborative work environment.

Research Teams

[IDS] Intelligent Control

RL-based Intelligent Control and Autonomous Mobility

We develop intelligent control algorithms for next-generation mobility using reinforcement learning techniques such as MARL and Safe RL. Our research targets communication-aware vehicle platooning, safe HEV energy management, and driver-personalized chassis control. By leveraging diverse simulation environments, we validate and optimize our methods to enhance the safety, efficiency, and adaptability of intelligent driving systems.

[V2X] Advanced Connectivity

Advanced V2X Communications and Intelligent Networking

We develop advanced V2X communication frameworks for highly reliable autonomous driving. Our research covers RL-based multimodal beam management for optimal mmWave alignment, MAPPO-based redundancy mitigation for Cooperative Perception Messages (CPM) to improve perception coverage and alleviate network congestion, multi-channel operation to maximize PDR and fairness, and seamless handover technologies for uninterrupted service continuity.

[ISAC] 6G Sensing

Integrated Sensing and Communications

We explore Integrated Sensing and Communication (ISAC) for 6G networks by designing and optimizing dual-functional waveforms for both communication and sensing. Our research targets cell-free ISAC environments, focusing on central-server-based optimization for role and resource allocation across distributed access points. Additionally, we leverage the near-field characteristics of Extra-Large MIMO (XL-MIMO) to develop specialized ISAC techniques for beyond-6G scenarios.

[Satellite] LEO Networks

LEO Satellite Network Optimization

We address the challenges of Low Earth Orbit (LEO) constellations in dynamic environments. Our research targets AI-driven radio wave propagation prediction, focusing on developing path loss models for complex environments using deep learning. We also investigate dynamic channel allocation and network performance modeling to ensure efficient coexistence and resource optimization in complex satellite networks.

News

2026

[03/2026] 👋 New Members: We are excited to welcome our new students, TaeHyun Lee, Gyeongmin Jang and MinGyeong Choi, to the CAM Lab! We look forward to doing great research together.
[02/2026] 🏆Excellent Paper Award: Nuri Choi, Taesik Nam, and Han-Shin Jo won the 2026 ICAIIC Excellent Paper Award (Awarded by ICAIIC 2026 Technical Program Committee Chairs) for their paper "Multimodal Cost-Aware DRL for Beam Realignment in mmWave V2X Communication."
[02/2026] 🎓 Graduation: Congratulations to Yeon-Gi Cho (Former Research Fellow) and our M.S. graduates, SunBeom Kwon, Sangbin Nam, DongHyeok Shin, BaekHoon Jang, and YeChan Jeong, on their successful graduation! We wish you all the best in your future endeavors.

2025

[12/2025] 🏆Award: Prof. Han-Shin Jo received the Commendation from the Minister of Science and ICT (과학기술정보통신부 장관 표창) at the 2025 Radio Innovation Research Presentation. Congratulations!🎉
[11/2025] 📄Paper Published: "Interference Analysis between IMT-2030 and Low Earth Orbit Satellite Services Using Phased Array Antennas and Multi-User Beamforming," published in The Journal of Korean Institute of Electromagnetic Engineering and Science.
[10/2025] 🎤Invited Talk: Prof. Han-Shin Jo gave an invited talk on "AI-based Radio Propagation Prediction Technology" at the Seminar on Electromagnetic Spectrum Management for All-Domain Command and Control & CR Technology Workshop.
[06/2025] 📄Paper Published: "An Integrated Network-Computing Load Balancing Simulator for VEC-Assisted Autonomous Vehicles," published in IEEE Communications Magazine.
[10/2025] 🎤Invited Talk: Prof. Han-Shin Jo gave an invited talk on "AI-based Radio Propagation Prediction Technology" at the Seminar on Electromagnetic Spectrum Management for All-Domain Command and Control & CR Technology Workshop.

2024

[10/2024] 🏆Grand Prize: Seungjae Lee, Sangbin Nam, Kiwoong Park, and Donghyeok Shin won the Grand Prize (Awarded by Chairman of Korea Electronics Association) at the "Industry-Academia Project Challenge" for their project "Development of Integrated Simulation Technology for V2X-based Autonomous Driving Evaluation (V2X 기반 자율주행 평가용 통합 시뮬레이션 기술 개발)."
[04/2024] 📄Paper Published: "Data Generation and Augmentation Method for Deep Learning-Based VDU Leakage Signal Restoration Algorithm," published in IEEE Trans. on Information Forensics and Security
[03/2024] 📄Paper Published: "Energy-Efficient Synchronization in Industrial Internet of Things: An Intelligent Neighbor-Knowledge Approach," published in IEEE Trans. on Industrial Informatics

2020 ~ 2023

[03/2023] Paper Published: "Resource Allocation in Mode 2 of 5G NR-V2X: A Cooperative and Reliable MAC Protocol," published in IEEE Transactions on Intelligent Transportation Systems.
[02/2023] Paper Published: "Deep Reinforcement Learning-based Cellular-V2X QoS Adaptive Distributed Congestion Control," published in IEEE Transactions on Intelligent Vehicles.
[11/2022] Best Paper Award: Seongjun Jo, Wooyeol Yang, and Han-Shin Jo won the Best Paper Award (한국방송통신전파진흥원장 상) in the 21st Korean Institute of Electromagnetic Engineering and Science (KIEES) Student Paper Competition for their paper entitled "Deep Q-Learning-Based Spectrum Sharing for High Altitude Platform Station".
[11/2022] Excellence Paper Award: Seongjun Jo and Han-Shin Jo won the Excellence Paper Award at the Korean Institute of Communications and Information Sciences (KICS) Summer Conference 2022 for their paper entitled "Deep Reinforcement Learning-based HAPS Transmission Power Control Algorithm".
[10/2021] Excellence Paper Award: Seongjun Jo and Han-Shin Jo won the Excellence Paper Award at the Korean Institute of Electrical and Electronics Engineers (IKEEE) Summer Conference 2021 for their paper entitled "Dynamic Frequency Selection Algorithm for High Frequency Communication Using Reinforcement Learning".

2013 ~ 2019

[11/2019] Honorable Mention: Hunki Kim, Yeon-Gi Cho, and Han-Shin Jo received an Honorable Mention at the 18th KIEES Student Paper Competition.
[08/2019] Best Paper Award: Yeon-Gi Cho, Hunki Kim, and Han-Shin Jo received the 2019 IEEE EMC Korea Chapter Best Paper Award.
[04/2018] Sabbatical: Dr. Jo is on sabbatical at WiDeS at the University of Southern California from March 2018 to Feb 2019.
[01/2017] Paper Published: "Opportunistic Polarization-matching for Multiuser Polarized MISO Downlink" in IEEE Communications Letters.
[10/2016] Paper Published: "Coexistence of Power-Controlled Cellular Networks With Rotating Radar" in IEEE Journal on Selected Areas in Communications.
[12/2015] Paper Published: "Noise-Jamming Effect as a Countermeasure Against TEMPEST During High-Speed Signaling" in IEEE Transactions on Electromagnetic Compatibility.
[12/2015] Grand Prize: 대상(미래창조과학부 장관상) 수상 - 2015 미래전파 창의아이디어 설계 제작 공모.
[04/2014] Paper Published: "Capacity Loss Due to Polarization-Mismatch and Space-Correlation on MISO Channel" in IEEE Trans. on Wireless Communications.
[05/2013] Recognition: "Heterogeneous Cellular Networks: From Theory to Practice" ranked as IEEE COMSOC Best Readings in Multi-Tier Cellular.

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