most citedDesign Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach

11 citations · 11 across the 4 of their papers we have counts for

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cs.NI2025

Vision and Causal Learning Based Channel Estimation for THz Communications

Kitae Kim, Yan Kyaw Tun, Md. Shirajum Munir +3

The use of terahertz (THz) communications with massive multiple input multiple output (MIMO) systems in 6G can potentially provide high data rates and low latency communications. H…

cs.NI2025

Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework

Yu Min Park, Yan Kyaw Tun, Eui-Nam Huh +2

Beamforming is a key technology in millimeter-wave (mmWave) communications that improves signal transmission by optimizing directionality and intensity. However, conventional chann…

cs.NI2025

Joint Beamforming and Trajectory Optimization for Multi-UAV-Assisted Integrated Sensing and Communication Systems

Yan Kyaw Tun, Nway Nway Ei, Sheikh Salman Hassan +4

In this paper, we investigate beamforming design and trajectory optimization for a multi-unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) system.…

cs.NI2024

Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning

Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3

In this paper, a novel generative adversarial imitation learning (GAIL)-powered policy learning approach is proposed for optimizing beamforming, spectrum allocation, and remote use…

cs.NI2024★ 11 cited

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach

Yu Min Park, Sheikh Salman Hassan, Yan Kyaw Tun +3

Non-orthogonal multiple access (NOMA) enables multiple users to share the same frequency band, and simultaneously transmitting and reflecting reconfigurable intelligent surface (ST…