Machine Learning-Based Multi-UAV Deployment for Uplink Traffic Sizing and Offloading in Cellular Networks

Authors

Ahmed Fahim Mostafa, Department of Electronics and Communications Engineering, The American University in Cairo, New Cairo, Egypt
Mohamed Abdel-Kader, Department of Electronics and Communications Engineering, The American University in Cairo, New Cairo, Egypt
Yasser Gadallah, Department of Electronics and Communications Engineering, The American University in Cairo, New Cairo, Egypt
Omar Elayat, Department of Electronics and Communications Engineering, The American University in Cairo, New Cairo, Egypt

Author's Department

Electronics & Communications Engineering Department

Second Author's Department

Electronics & Communications Engineering Department

Third Author's Department

Electronics & Communications Engineering Department

Fourth Author's Department

Electronics & Communications Engineering Department

Document Type

Research Article

Publication Title

IEEE Access

Publication Date

1-1-2023

doi

10.1109/access.2023.3293148

Recommended Citation

APA Citation

Mostafa, A. Abdel-Kader, M. Gadallah, Y. & Elayat, O. (2023). Machine Learning-Based Multi-UAV Deployment for Uplink Traffic Sizing and Offloading in Cellular Networks. IEEE Access, 10.1109/access.2023.3293148
https://fount.aucegypt.edu/faculty_journal_articles/5511

MLA Citation

Mostafa, Ahmed Fahim, et al. "Machine Learning-Based Multi-UAV Deployment for Uplink Traffic Sizing and Offloading in Cellular Networks." IEEE Access, 2023,
https://fount.aucegypt.edu/faculty_journal_articles/5511