Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Cooperative Data Collection
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2757-5_11
Reference9 articles.
1. Wei, Z., Zhu, M., Zhang, N., et al.: UAV-assisted data collection for internet of things: a survey. IEEE Internet Things J. 9(17), 15460–15483 (2022)
2. Zeng, Y., Zhang, R., Lim, T.J.: Wireless communications with unmanned aerial vehicles: opportunities and challenges. IEEE Commun. Mag. 54(5), 36–42 (2016)
3. Mozaffari, M., et al.: A tutorial on UAVs for wireless networks: applications, challenges, and open problems. IEEE Commun. Surv. Tutorials 21(3), 2334–2360 (2019)
4. Han, S., Zhu, K., Zhou, M.C., et al.: Joint deployment optimization and flight trajectory planning for UAV assisted IoT data collection: a bilevel optimization approach. IEEE Trans. Intell. Transp. Syst. 23(11), 21492–21504 (2022)
5. Hua, M., Yang, L., Wu, Q., et al.: 3D UAV trajectory and communication design for simultaneous uplink and downlink transmission. IEEE Trans. Commun. 68(9), 5908–5923 (2020)
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