6 citations · 10 across the 8 of their papers we have counts for
8 papers
An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study
Farhad Rezazadeh, Raymond Zhao, Jiongyu Dai +3
Next-generation open radio access networks (O-RAN) continuously stream tens of key performance indicators (KPIs) together with raw in-phase/quadrature (IQ) samples, yielding ultra-…
Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data
Marcello Bullo, Amir Ashtari Gargari, Paolo Testolina +2
Autonomous driving is a major paradigm shift in transportation, with the potential to enhance safety, optimize traffic congestion, and reduce fuel consumption. Although autonomous…
Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration
Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagen +3
The move toward open Sixth-Generation (6G) networks necessitates a novel approach to full-stack simulation environments for evaluating complex technology developments before protot…
GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3
Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén +3
The move toward Sixth-Generation (6G) networks relies on open interfaces and protocols for seamless interoperability across devices, vendors, and technologies. In this context, ope…
SeBaSi system-level Integrated Access and Backhaul simulator for self-backhauling
Amir Ashtari Gargari, Matteo Pagin, Andrea Ortiz +3
millimeter wave (mmWave) and sub-terahertz (THz) communications have the potential of increasing mobile network throughput drastically. However, the challenging propagation conditi…
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks
Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin +4
Wireless backhauling at millimeter-wave frequencies (mmWave) in static scenarios is a well-established practice in cellular networks. However, highly directional and adaptive beamf…
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays
Matteo Pagin, Marco Giordani, Amir Ashtari Gargari +5
The high propagation and penetration loss experienced at millimeter wave (mmWave) frequencies requires ultra-dense deployments of 5th generation (5G) base stations, which may be in…
Full-stack Comparison of Channel Models for Networks Above 100 GHz in an Indoor Scenario
Amir Ashtari Gargari, Michele Polese, Michele Zorzi
The Sixth Generation (6G) of mobile networks is expected to use carrier frequencies in the spectrum above 100 GHz, to satisfy the demands for higher data rates and bandwidth of fut…