[October 2026] W. Ko, Y. Jeong, S.-W. Hong, and S. Hong, "LyMARL: A Lyapunov-Guided Multi-Agent Reinforcement Learning Framework for Energy-Aware Radio Resource Management," IEEE Internet of Things Journal, vol. 13, no. 19, pp. 45702-45715, Oct. 2026.
[September 2026] W. Choi, Y. Tae, J. Lee, and S. Hong, "CSI-Free Positioning of Movable Antennas for IoT Networks: A Compositional Kernelized Bandit," submitted to IEEE Internet of Things Journal.
[September 2026] U. Hwang and S. Hong, "RoFEH: Robust Federated Reinforcement Learning Under Environment Heterogeneity," accepted to IEEE Transactions on Neural Networks and Learning Systems.
[September 2026] W. Choi, Y. Tae, J. Lee, and S. Hong, "Positioning a Movable Antenna Without CSI: A Kernelized Bandit Under Costly Movement," submitted to IEEE Transactions on Wireless Communications.
[September 2026] Y. Tae, J. Lee, and S. Hong, "Online Movable Antenna Repositioning Under Movement Delay and a Long-Term Energy Budget," submitted to IEEE Transactions on Communications.
[September 2026] S.-W. Hong and S. Hong, "Long-Term Sensing and Per-Slot QAM Communication in 1-Bit Massive MIMO-DFRC," submitted to IEEE Transactions on Vehicular Technology.
[September 2026] Y. Jeong, W. Ko, S.-W. Hong, and S. Hong, "Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints," submitted to IEEE Internet of Things Journal.
[September 2026] H.-G. Joo, S. Hong, and D.-J. Shin, "TierSecAgg: Tier-Stratified Secure Aggregation for SignSGD-Based Hierarchical Federated Learning in IoT Edge-Cloud Systems," submitted to IEEE Internet of Things Journal.
[September 2026] H. Joo, S. Lee, S. Hong, and D.-J. Shin, "Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning," IEEE Internet of Things Journal, vol. 13, no. 18, Sep. 2026.
[August 2026] W. Choi, J. Lee, and S. Hong, "Structure-Aware Learning for Rate-Splitting Multiple Access: Efficient Beamforming via Inverse-Free Reconstruction," submitted IEEE Globecom-Workshop.
[August 2026] Y. Jeong, W. Ko, and S. Hong, "On the Timescale of Constraint Regulation in Multi-Agent Reinforcement Learning for Finite-Horizon Wireless Resource Management," submitted to IEEE Globecom-Workshop.
[July 2026] U. Hwang and S. Hong, "Scalable and Robust Reinforcement Learning through Expectile Regression," accepted to IEEE Transactions on Neural Networks and Learning Systems.
[July 2026] W. Choi, J. Lee, and S. Hong, "Scalable Rate-Splitting Precoding via Recurrent Structure-Preserving Graph Neural Networks," submitted to IEEE Transactions on Wireless Communications.
[April 2026] J. Lee, J. Seong, S. Hong, W. Shin, M. Z. Win, "Near-Field Propagation Delay-Enabled RIS for Beam-Squint Control in Wideband LEO Satelite Communications," submitted to IEEE Transactions on Wireless Communications (Major Revision).
[March 2026] S.-W. Hong, Y. Jeong, U. Hwang, and S. Hong, "QIPPO/CA: A Quantized Communication-Efficient MARL Framework for Fully Distributed Channel Access in Next-Generation Wireless Networks," IEEE Internet of Things Journal, vol. 13, no. 5, pp. 8615-8627, Mar. 2026.
[January 2026] W. Choi, J. Lee and S. Hong, "CSIT-Free Beamforming for Multi-Group Multicast in Overloaded mmWave Systems," submitted to IEEE Transactions on Wireless Communications.