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2020 – today
- 2025
[c6]Tae-Yoon Kim, Yujeong Ahn, Jaeyeol Lee, Jae-Hyun Kim:
Joint Movement and User Association of UAV-BS for Indoor User Service: A Multi-Agent Deep Reinforcement Learning Approach. CCNC 2025: 1-4- [c5]Jaeyeol Lee, Won-Jae Lee, Tae-Yoon Kim, Taehan Moon, Jae-Hyun Kim:
Optimization Satellite Power Control in Integrated Non-Terrestrial Networks Using Multi-Agent Deep Reinforcement Learning. CCNC 2025: 1-6 - [c4]Junyoung Kim, Jaeyeol Lee, Jiseok Jang, Jae-Hyun Kim, Soyi Jung:
Synergistic Power Optimization in Satellite-Terrestrial Coexistence Networks Via Attention-Driven Deep Reinforcement Learning. VTC2025-Spring 2025: 1-6 - [c3]Jaeyeol Lee, Tae-Yoon Kim, Taehan Moon, Youngpo Lee, Dongwook Kim, Takki Yu, Jae-Hyun Kim:
Optimizing Beam-Hopping in LEO Constellation Systems with Random Cell Traffic Using Multi-Agent Reinforcement Learning. VTC2025-Spring 2025: 1-6 - 2023
- [c2]Tae-Yoon Kim, Jaeyeol Lee, Jae-Hyun Kim:
Deep Reinforcement Learning-Based Full-Duplex Communication UAV Base Station Trajectory Optimization in Disaster Environments. APWCS 2023: 1-5 - [c1]Jaeyeol Lee, Tae-Yoon Kim, Jae-Hyun Kim:
Performance Analysis of Multiple High Altitude Platform Stations Cellular Network Coverage. ICTC 2023: 1242-1244
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