1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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.…
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…
Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications
Arian Ahmadi, Omid Semiari
Communication at terahertz (THz) frequency bands is a promising solution for achieving extremely high data rates in next-generation wireless networks. While the THz communication i…