Lanhua Li
Orcid: 0000-0002-9403-3983
According to our database1,
Lanhua Li
authored at least 24 papers
between 2017 and 2025.
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Bibliography
2025
Learning Adaptive Jamming and Beamforming for Hybrid IRS-Assisted Secure NOMA Transmissions.
IEEE Trans. Commun., November, 2025
Contextual Bandits With Non-Stationary Correlated Rewards for User Association in mmWave Vehicular Networks.
IEEE Trans. Mob. Comput., September, 2025
Lyapunov-Guided Deep Reinforcement Learning for Semantic-Aware AoI Minimization in UAV-Assisted Wireless Networks.
IEEE Trans. Wirel. Commun., August, 2025
Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications.
CoRR, July, 2025
RISs-Enabled Separation of Multi-User Collided Signals in IQ Domain Based on Two-Stage Online Optimization.
IEEE Trans. Veh. Technol., April, 2025
Exploiting NOMA Transmissions in Multi-UAV-Assisted Wireless Networks: From Aerial-RIS to Mode-Switching UAVs.
IEEE Trans. Wirel. Commun., March, 2025
Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks.
IEEE Trans. Veh. Technol., February, 2025
Semantic Pre-Extraction for Energy-Efficient AoI Minimization in UAV-Assisted Wireless Networks.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Digital Twin Enabled Simultaneous Learning and Modeling for UAV-Assisted Secure Wireless Sensing in Unknown Environment.
Proceedings of the IEEE International Conference on Communications, 2025
Optimizing Value of Information for Simultaneous Energy Replenishment and Data Collection in AUV-Assisted UWSNs.
Proceedings of the IEEE International Conference on Communications, 2025
Model-Aided Deep Reinforcement Learning for Fast RAW Parameter Adaptation in Wi-Fi Halow Networks.
Proceedings of the IEEE International Conference on Communications, 2025
2024
Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer.
Sensors, May, 2024
Meta-BackCom: Hybrid Reflect-Decode-Forward Online Relaying in Metasurface-Enhanced Backscatter Networks.
IEEE Netw., May, 2024
Contextual Bandits with Non-Stationary Correlated Rewards for User Association in MmWave Vehicular Networks.
CoRR, 2024
Lyapunov-guided Deep Reinforcement Learning for Semantic-aware AoI Minimization in UAV-assisted Wireless Networks.
CoRR, 2024
Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks.
CoRR, 2024
Delay-Tolerant Multi-Agent DRL for Trajectory Planning and Transmission Control in UAV-Assisted Wireless Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Matching-Driven Deep Reinforcement Learning for Improving Energy Efficiency in LoRa Networks.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
Modeling blockages and link dependency in millimeter wave communication networks using Matérn Hard-Core Point Process.
Phys. Commun., October, 2023
Hierarchical Multiple Access for Spectrum-Energy Opportunistic Ambient Backscatter Wireless Networks.
IEEE Trans. Mob. Comput., August, 2023
2021
Promoting Energy Efficiency and Proportional Fairness in Densely Deployed Backscatter-Aided Networks.
IEEE Internet Things J., 2021
2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017