Energy-Efficient UAV-Enabled Wireless Power Transfer for Real-Time Charging Requirements
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5666-7_30
Reference10 articles.
1. Liu, L., Xiong, K., Cao, J., Lu, Y., Fan, P., Letaief, K.B.: Average AoI minimization in UAV-assisted data collection with RF wireless power transfer: a deep reinforcement learning scheme. IEEE Internet Things J. 9, 5216–5228 (2022)
2. Sha, C., Sun, Y., Malekian, R.: Research on cost-balanced mobile energy replenishment strategy for wireless rechargeable sensor networks. IEEE Trans. Veh. Technol. 69(3), 3135–3150 (2019)
3. Yuan, X., Jiang, H., Hu, Y., Schmeink, A.: Joint analog beamforming and trajectory planning for energy-efficient UAV-enabled nonlinear wireless power transfer. IEEE J. Sel. Areas Commun. 40(10), 2914–2929 (2022)
4. Shi, J., Zhao, L., Wang, X., Zhao, W., Hawbani, A., Huang, M.: A novel deep Q-learning-based air-assisted vehicular caching scheme for safe autonomous driving. IEEE Trans. Intell. Transp. Syst. 22(7), 4348–4358 (2021)
5. Ali, M.A., Jamalipour, A.: Dynamic aerial wireless power transfer optimization. IEEE Trans. Veh. Technol. 71(4), 4010–4022 (2022)
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