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eess.SY2024
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach
Arian Ahmadi, Anders Høst-Madsen, Zixiang Xiong
Multi-access edge computing (MEC) is seen as a vital component of forthcoming 6G wireless networks, aiming to support emerging applications that demand high service reliability and…
eess.SY2022★ 1 cited
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
Arian Ahmadi, Omid Semiari, Mehdi Bennis +1
Multi-access edge computing (MEC) is viewed as an integral part of future wireless networks to support new applications with stringent service reliability and latency requirements.…
eess.SY2021
On Energy Optimal Speed Trajectories: The Impact of Electric Powertrain Efficiency Characteristics
Arian Ahmadi, Peter H. Bauer
This paper investigates the effect of the powertrain efficiency map on energy optimal speed trajectories, especially stop-to-stop trajectories. A variety of different efficiency ma…