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Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance
Sotiris Chatzimiltis, Mahdi Boloursaz Mashhadi, Mohammad Shojafar +2
Agentic AI systems are emerging as powerful tools for automating complex, multi-step tasks across various industries. One such industry is telecommunications, where the growing com…
Lightweight Foundation Model for Wireless Time Series Downstream Tasks on Edge Devices
Mohammad Cheraghinia, Eli De Poorter, Jaron Fontaine +3
While machine learning is widely used to optimize wireless networks, training a separate model for each task in communication and localization is becoming increasingly unsustainabl…
Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
Xiumei Deng, Zehui Xiong, Binbin Chen +3
Large language models (LLMs) are proliferating rapidly at the edge, delivering intelligent capabilities across diverse application scenarios. However, their practical deployment in…
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…
Stacked Intelligent Metasurfaces for 6G Wireless Networks: Principles, Applications, and Research Directions
Enyu Shi, Jiayi Zhang, Zhilong Liu +5
The sixth-generation (6G) wireless networks are expected to deliver ubiquitous connectivity, resilient coverage, and intelligence-driven services in highly dynamic environments. To…