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Honglin Xiang
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2020 – today
- 2024
- [j4]Jinyu Yuan, Jingyi Peng, Qing Yan, Gang He, Honglin Xiang, Zili Liu:
Deep Reinforcement Learning-Based Energy Consumption Optimization for Peer-to-Peer (P2P) Communication in Wireless Sensor Networks. Sensors 24(5): 1632 (2024) - 2023
- [j3]Yulong Bao
, Masato Shinoda, Kunpeng Yi, Xiaoman Fu, Long Sun, Elbegjargal Nasanbat
Satellite-Based Analysis of Spatiotemporal Wildfire Pattern in the Mongolian Plateau. Remote. Sens. 15(1): 190 (2023) - [j2]Lingjie Li
Deep Reinforcement Learning-Based Downlink Beamforming and Phase Optimization for RIS-Aided Communication System. IEEE Wirel. Commun. Lett. 12(12): 2263-2267 (2023) - 2022
- [j1]Honglin Xiang
Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications. IEEE Wirel. Commun. Lett. 11(8): 1659-1663 (2022) - [c3]Honglin Xiang, Jingyi Peng
Multi-Agent Power and Resource Allocation for D2D Communications: A Deep Reinforcement Learning Approach. VTC Fall 2022: 1-5 - [c2]Jingfei Huang, Jingyi Peng
Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning. WCSP 2022: 1091-1095 - 2021
- [c1]Yang Yang, Honglin Xiang, Gang He, Jingfei Huang, Qing Yan:
Optimal Spectrum Reuse of V2V Communications for Maximizing Average Throughput in Vehicular Ad Hoc Networks. ICCC 2021: 1178-1182
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