From the 1 of 5 linked papers with an AI index.
5 papers
Introducing Large Language Models into the Design Flow of Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +2
The paper investigates how large language models can be used to automate the design, configuration, and management of Time Sensitive Networking (TSN) systems, presenting a proof‑of…
An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems
Mohammadreza Barzegaran, Kemeng Han, Hamid Jafarkhani
This paper studies the synthesis of control policies for heterogeneous and interconnected multi-agent systems that collaborate through data exchange over a communication network to…
UAV Energy Consumption Models for Wireless Systems Research: Model Selection and Misconceptions
Mohammadreza Barzegaran, Hamid Jafarkhani
Uncrewed aerial vehicles (UAVs) are gaining increasing attention in wireless systems, providing new opportunities to expand the reach and improve the quality of wireless services.…
Towards an Optimized Multi-Cyclic Queuing and Forwarding in Time Sensitive Networking with Time Injection
Rubi Debnath, Mohammadreza Barzegaran, Sebastian Steinhorst
Cyclic Queuing and Forwarding (CQF) is a Time-Sensitive Networking (TSN) shaping mechanism that provides bounded latency and deterministic Quality of Service (QoS). However, CQF's…
CyclicSim: Comprehensive Evaluation of Cyclic Shapers in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +1
Cyclic Queuing and Forwarding (CQF) is a key Time-Sensitive Networking (TSN) shaping mechanism that ensures bounded latency using a simple gate control list (GCL). Recently, varian…