Open access
2026
Scalable Reinforcement Learning-Based Environment-Aware Scheduler for Enhancing Reliability and Availability in 6G Networks
A scalable deep reinforcement learning (DRL) framework that exploits environmental-aware knowledge to optimize multi-user scheduling under limited resources, in order to enhance reliability and availability while maintaining fairness, outperforming Round Robin and Proportional Fair schedulers.
Roya Khanzadeh, Fjolla Ademaj-Berisha, Bernhard Etzlinger et al.
· IEEE Transactions on Machine... · 0 citations