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

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

The problem of the uplink resource allocation of mixed-traffic types in cellular networks is a challenging problem that has not been addressed sufficiently in the literature. In this paper, we consider the 5G uplink scheduling for Ultra-Reliable and Low Latency Communications and enhanced Mobile Bro...

Full description

Bibliographic Details
Main Authors: Mohamed W. Nomeir, Yasser Gadallah, Karim G. Seddik
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
GF modeling
reinforcement learning
resource allocation
supervised neural networks
uplink scheduling
URLLC
Online Access:https://ieeexplore.ieee.org/document/10029334/

Internet

https://ieeexplore.ieee.org/document/10029334/

Similar Items