21 citations · 30 across the 7 of their papers we have counts for
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cs.LG2025
Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN
Peyman Tehrani, Anas Alsoliman
In this paper, we tackle the challenge of radio access network (RAN) slicing within an open RAN (O-RAN) architecture. Our focus centers on a network that includes multiple mobile v…
cs.LG2021★ 6 cited
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks
Peyman Tehrani, Francesco Restuccia, Marco Levorato
Next Generation (NextG) networks are expected to support demanding tactile internet applications such as augmented reality and connected autonomous vehicles. Whereas recent innovat…
cs.LG2020
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems
Peyman Tehrani, Marco Levorato
The prompt and accurate detection of faults and abnormalities in electric transmission lines is a critical challenge in smart grid systems. Existing methods mostly rely on model-ba…