Machine Learning-Based Uplink Scheduling Approaches for Mixed Traffic in Cellular Systems

Authors

Mohamed W. Nomeir, 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
Karim G. Seddik, 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

Document Type

Research Article

Publication Title

IEEE Access

Publication Date

1-1-2023

doi

10.1109/access.2023.3240569

Recommended Citation

APA Citation

Nomeir, M. Gadallah, Y. & Seddik, K. (2023). Machine Learning-Based Uplink Scheduling Approaches for Mixed Traffic in Cellular Systems. IEEE Access, 10.1109/access.2023.3240569
https://fount.aucegypt.edu/faculty_journal_articles/5543

MLA Citation

Nomeir, Mohamed W., et al. "Machine Learning-Based Uplink Scheduling Approaches for Mixed Traffic in Cellular Systems." IEEE Access, 2023,
https://fount.aucegypt.edu/faculty_journal_articles/5543