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eess.SP2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda +3
In delay-sensitive industrial internet of things (IIoT) applications, the age of information (AoI) is employed to characterize the freshness of information. Meanwhile, the emerging…
eess.SP2020
DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond
Mahdi Nouri Boroujerdi, Mohammad Akbari, Roghayeh Joda +2
In this paper, we employ deep reinforcement learning to develop a novel radio resource allocation and packet scheduling scheme for different Quality of Service (QoS) requirements a…