21 citations · 30 across the 7 of their papers we have counts for
7 papers
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…
Energy Saving and Traffic Steering Use Case and Testing by O-RAN RIC xApp/rApp Multi-vendor Interoperability
Arda Akman, Peyman Tehrani, Pablo Oliver +3
This paper discusses the use case of energy saving and traffic steering in O-RAN, the mechanism of multi-vendor interoperability to make it work and depict its test methodology.
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…
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…
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge
Sabur Baidya, Peyman Tehrani, Marco Levorato
In this paper, we present a framework for the dynamic selection of the wireless channels used to deliver information-rich data streams to edge servers. The approach we propose is d…
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis
Peyman Tehrani, Farshad Lahouti, Michele Zorzi
Recent studies indicate the feasibility of full-duplex (FD) bidirectional wireless communications. Due to its potential to increase the capacity, analyzing the performance of a cel…
Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users
Peyman Tehrani, Farshad Lahouti, Michele Zorzi
Recent studies indicate the feasibility of in-band fullduplex (FD) wireless communications, where a wireless radio transmits and receives simultaneously in the same band. Due to it…