Developing Intelligent Wireless Transmission Systems for Future Connected World
Recently published papers:
- Li, S., H.-C. Yang, and F. Hu, “Joint transmission mode selection and scheduling for AoI minimization in NOMA-capable WP-IoT networks: A deep transfer learning solution”, to appear in IEEE Transactions on Communications, Vol., no., pp., 2025.
- Yu, H., and H.-C. Yang, “Causal CSI-based trajectory design and power allocation for UAV-enabled wireless networks under average rate constraints: A constrained reinforcement learning approach”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 61, no. 1, pp. 554-567, February 2025.
- Li, S., H.-C. Yang, F. Xu, H. Hu, and F. Hu, “Energy-efficient relay transmission for WBAN: energy consumption minimizing design with hybrid supervised/reinforcement learning”, IEEE Internet of Things Journal, Vol. 11, no. 10, pp. 17770-17779, May 2024.
- Samy, R., H.-C. Yang, T. Rakia and M. -S. Alouini, “Reliable Terabits feeder link for very high-throughput satellite systems with SAG-FSO transmission,” IEEE Wireless Communications Magazine, Vol. 31, no. 2, pp. 112-116, March 2024.
- Xu, F., H.-C. Yang, and M.-S. Alouini, “Ultra-green relay transmission with wireless power transfer for advanced IoT: session-specific analysis and optimization”, IEEE Internet of Things Journals, Vol. 10, no. 17, pp. 15553-15562, September 2023.
- Xu, F., H.-C. Yang, and M.-S. Alouini, “Energy consumption minimization for data collection from wirelessly-powered IoT sensors: session-specific optimal design with DRL”, IEEE Sensors Journals, 22, no. 20, pp. 19886-19896, September 2022.
Customizing Advanced AI/ML Models for Trustworthy Solutions to Societal Challenges
Ongoing projects:
- Voice assistant for visually impaired using large language models (LLM) and vision language models (VLM)
- Network security anomaly detection with machine learning solutions
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Skin cancer detection using transfer learning: From system design to mobile deployment
Authored/Co-authoered Books
