12 citations · 15 across the 15 of their papers we have counts for
7 papers · 1 filter
LLM-Based Agentic Negotiation for 6G: Addressing Uncertainty Neglect and Tail-Event Risk
Hatim Chergui, Farhad Rezazadeh, Mehdi Bennis +2
A critical barrier to the trustworthiness of sixth-generation (6G) agentic autonomous networks is the uncertainty neglect bias; a cognitive tendency for large language model (LLM)-…
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…
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks
Hatim Chergui, Farhad Rezazadeh, Merouane Debbah +1
The path to higher network autonomy in 6G lies beyond the mere optimization of key performance indicators (KPIs), requiring systems that perceive and reason over the network enviro…
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…
Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
Hatim Chergui, Miguel Catalan Cid, Pouria Sayyad Khodashenas +2
This paper introduces a novel framework for proactive cross-domain resource orchestration in 6G RAN-Edge networks, featuring large language model (LLM)-augmented agents. The system…
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-…