3 citations · 4 across the 11 of their papers we have counts for
12 papers · 1 filter
Resource-Efficient Semantic Communication for Heterogeneous Agentic Teams
Farhad Rezazadeh, Hatim Chergui, Lingjia Liu +1
Teams of autonomous agents, including large language model (LLM) agents, must coordinate over scarce and unreliable wireless links. We propose goal-oriented semantic communication…
LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G
Farhad Rezazadeh, Hatim Chergui, Amir Ashtari Gargari +4
Proactive and agentic control in Sixth-Generation (6G) Open Radio Access Networks (O-RAN) requires control-grade prediction under stringent Near-Real-Time (Near-RT) latency and com…
Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning
Farhad Rezazadeh, Amir Ashtari Gargari, Hatim Chergui +4
We argue that sixth-generation (6G) intelligence is not fluent token prediction but the capacity to imagine and choose -- to simulate future scenarios, weigh trade-offs, and act wi…
Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN
Farhad Rezazadeh, Hatim Chergui, Merouane Debbah +2
In sixth-generation (6G) Open Radio Access Networks (O-RAN), proactive control is preferable. A key open challenge is delivering control-grade predictions within Near-Real-Time (Ne…
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-…
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…
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui +5
The move toward artificial intelligence (AI)-native sixth-generation (6G) networks has put more emphasis on the importance of explainability and trustworthiness in network manageme…
A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
Farhad Rezazadeh
Algorithmic innovation can unleash the potential of the beyond 5G (B5G)/6G communication systems. Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a p…
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing
Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui +4
An adaptive standardized protocol is essential for addressing inter-slice resource contention and conflict in network slicing. Traditional protocol standardization is a cumbersome…
Decentralized Energy Marketplace via NFTs and AI-based Agents
Rasoul Nikbakht, Farhana Javed, Farhad Rezazadeh +2
The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes w…
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
Farhad Rezazadeh, Sergio Barrachina-MuNoz, Engin Zeydan +3
The rapid development of artificial intelligence (AI) techniques has triggered a revolution in beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Des…