The following publications are possibly variants of this publication:
- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-Assisted NetworksArwa M. J. Jwaifel, Tien Van Do 0001. iccci 2023: 71-83 [doi]
- Joint Resource Allocation and Trajectory Optimization for UAV-Aided Relay NetworksQiyu Hu, Yunlong Cai, An Liu 0001, Guanding Yu. globecom 2019: 1-6 [doi]
- Low-Complexity Joint Resource Allocation and Trajectory Design for UAV-Aided Relay Networks With the Segmented Ray-Tracing Channel ModelQiyu Hu, Yunlong Cai, An Liu 0001, Guanding Yu, Geoffrey Ye Li. TWC, 19(9):6179-6195, 2020. [doi]
- Energy-Efficient UAV-Aided Ocean Monitoring Networks: Joint Resource Allocation and Trajectory DesignZhixin Liu 0001, Xiangyun Meng, Yi Yang, Kai Ma 0001, Xinping Guan. iotj, 9(18):17871-17884, 2022. [doi]
- Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication NetworksLinghui Ge, Xiao Liang 0005, Hua Zhang, Peihao Dong, Jianxin Liao, Jingyu Wang 0001. wcl, 13(4):994-998, April 2024. [doi]
- Trajectory Design and Resource Allocation for Multi-UAV Networks: Deep Reinforcement Learning ApproachesZheng Chang 0001, Hengwei Deng, Li You, Geyong Min, Sahil Garg, Georges Kaddoum. tnse, 10(5):2940-2951, September - October 2023. [doi]
- Deep Learning-Based Resource Allocation in UAV-RIS-Aided Cell-Free Hybrid NOMA/OMA NetworksChong Huang, Gaojie Chen, Yun Wen, Zihuai Lin, Yue Xiao 0001, Pei Xiao. globecom 2023: 5641-5646 [doi]