• International Journal Papers

1. T. Y. Kim, J. Lee, S. Jung, and J. H. Kim, "Full-Duplex Multi-UAV Networks for Emergency Indoor Connectivity via Multi-Agent Deep Reinforcement Learning", IEEE Transactions on Mobile Computing, submitted, Sep. 08, 2025.

2. J. Lee, and J. H. Kim, "A Geodesic Distance-based Conditional Handover Strategy for LEO Satellite-based Non-Terrestrial Networks," IEEE Transactions on Vehicular Technology, submitted, May 27, 2025.

3. J. Lee, W. J. Lee, T. Y. Kim, and J. H. Kim, "Attention-Based Multi-Agent Deep Reinforcement Learning for Optimized Handover Method in Air-to-Ground Networks," IEEE Transactions on Vehicular Technology, resubmitted, May 15, 2025.

4. T. Y. Kim, J. Kang, J. Lee, and J. H. Kim, "Multi-Agent Deep Reinforcement Learning for Joint Movement and User Association of UAV-BS Emergency Indoor User Service," IEEE Internet of things journal, under major revision, Apr. 16, 2025.

• Domestic Journal Papers

1. 추헌우, 문태한, 김태윤, 정한진, 송용민, 김재현, "저궤도 위성 궤도 정보 기반 Cross-Seam에서의 핸드오버 최적화 기법," 한국통신학회논문지, accepted, 2025년 5월 13일.

• International Conference

1. J. Y. Lee, T. Y. Kim, and J. H. Kim, "Genetic Algorithm-Based Design of Cost-Effective LEO Satellite Constellations for Positioning," in Proc. Milcom 2025, resubmitted, Jun. 01, 2025.

2. M. S. Kim , J. Lee, and J. H. Kim, "Reinforcement Learning-Based Feeder Link Switchover for Handover Optimization in NTN," in Proc. Milcom 2025, accepted, May 26, 2025.

latest update date : 2025.09.30.