Lanhua Li

According to our database, Lanhua Li authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Contextual Bandits With Non-Stationary Correlated Rewards for User Association in mmWave Vehicular Networks.

Xiaoyang He, Xiaoxia Huang, Lanhua Li

IEEE Trans. Mob. Comput., September, 2025

Lyapunov-Guided Deep Reinforcement Learning for Semantic-Aware AoI Minimization in UAV-Assisted Wireless Networks.

Yusi Long, Shimin Gong, Sumei Sun, Gary C. F. Lee, Lanhua Li, Dusit Niyato

IEEE Trans. Wirel. Commun., August, 2025

Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications.

Songhan Zhao, Yusi Long, Lanhua Li, Bo Gu, Shimin Gong, Zehui Xiong

CoRR, July, 2025

RISs-Enabled Separation of Multi-User Collided Signals in IQ Domain Based on Two-Stage Online Optimization.

Weiran Luo, Xiaoxia Huang, Lanhua Li

IEEE Trans. Veh. Technol., April, 2025

Exploiting NOMA Transmissions in Multi-UAV-Assisted Wireless Networks: From Aerial-RIS to Mode-Switching UAVs.

Songhan Zhao, Shimin Gong, Bo Gu, Lanhua Li, Bin Lyu, Dinh Thai Hoang, Changyan Yi

IEEE Trans. Wirel. Commun., March, 2025

Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks.

Ziqi Lin, Xu Zhang, Shimin Gong, Lanhua Li, Zhou Su, Bo Gu

IEEE Trans. Veh. Technol., February, 2025

Semantic Pre-Extraction for Energy-Efficient AoI Minimization in UAV-Assisted Wireless Networks.

Yusi Long, Gary C. F. Lee, Lanhua Li, Shimin Gong, Sumei Sun, Dusit Niyato

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024

Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer.

Xiaojun Jiang, Shimin Gong, Chengyi Deng, Lanhua Li, Bo Gu

Sensors, May, 2024

Meta-BackCom: Hybrid Reflect-Decode-Forward Online Relaying in Metasurface-Enhanced Backscatter Networks.

Lanhua Li, Guolin Chen, Xiaoxia Huang, Jinbei Zhang, Jiannong Cao

IEEE Netw., May, 2024

Lyapunov-guided Deep Reinforcement Learning for Semantic-aware AoI Minimization in UAV-assisted Wireless Networks.

Yusi Long, Shimin Gong, Sumei Sun, Gary Lee, Lanhua Li, Dusit Niyato

CoRR, 2024

Delay-Tolerant Multi-Agent DRL for Trajectory Planning and Transmission Control in UAV-Assisted Wireless Networks.

Zesong Fan, Shimin Gong, Yusi Long, Lanhua Li, Bo Gu, Nguyen Cong Luong

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers.

Defeng Zhou, Shimin Gong, Lanhua Li, Bo Gu, Mohsen Guizani

Proceedings of the International Wireless Communications and Mobile Computing, 2024

Matching-Driven Deep Reinforcement Learning for Improving Energy Efficiency in LoRa Networks.

Ziqi Lin, Xu Zhang, Hai Chen, Lanhua Li, Shimin Gong, Bo Gu

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.

Xiaoyang He, Xiaoxia Huang, Lanhua Li

Phys. Commun., October, 2023

Hierarchical Multiple Access for Spectrum-Energy Opportunistic Ambient Backscatter Wireless Networks.

Lanhua Li, Xiaoxia Huang, Yuguang Fang

IEEE Trans. Mob. Comput., August, 2023

2021

Promoting Energy Efficiency and Proportional Fairness in Densely Deployed Backscatter-Aided Networks.

Lanhua Li, Xiaoxia Huang

IEEE Internet Things J., 2021

2019

Efficient Hierarchical Multiple Access for Ambient Backscatter Wireless Networks.

Lanhua Li, Xiaoxia Huang, Xuming Fang, Yuguang Fang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2017

Robust Cooperative Routing for Ambient Backscatter Wireless Sensor Networks.

Lanhua Li, Xiaoxia Huang, Shimin Gong

Proceedings of the 2017 IEEE Global Communications Conference, 2017