1 citations · 1 across the 14 of their papers we have counts for
17 papers
From Metric to Mechanism: Designing Wireless Resilience through Finite Blocklength Dynamics
Kevin Weinberger, Aydin Sezgin, Mehdi Bennis
Next-generation wireless networks must maintain reliable operation under abrupt and severe disruptions, particularly in ultra-reliable low-latency communication (URLLC) scenarios w…
Communication-Aware and Safety-Aware UAV Control via Predictive Latent Models
Hamid Shiri, Mehdi Bennis
This article presents a communication-aware and risk-aware predictive latent control (CRPL) framework for unmanned aerial vehicle (UAV) systems operating under partial observabilit…
Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks
Farooque Hassan Kumbhar, Kapal Dev, Sunder Ali Khowaja +3
Conventional wireless networks rely on instantaneous channel state information (CSI) and react to channel variations without explicitly modeling the physical environment, limiting…
Active Inference-Enabled Agentic Closed-Loop ISAC with Long-Horizon Planning
Guangjin Pan, Zhuojun Tian, Mehdi Bennis +1
Wireless agentic systems enable agents to autonomously perceive, reason, and act. However, existing works neglect the tight coupling between sensing and control in closed-loop inte…
Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems
Charbel Bou Chaaya, Mehdi Bennis
In this paper, we study a vehicle-to-infrastructure (V2I) system where distributed base stations (BSs) acting as road-side units (RSUs) collect multimodal (wireless and visual) dat…
Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G
Hang Zou, Yuzhi Yang, Lina Bariah +15
The integration of machine learning tools into telecom networks, has led to two prevailing paradigms, namely, language-based systems, such as Large Language Models (LLMs), and phys…
Structured Latent Dynamics in Wireless CSI via Homomorphic World Models
Salmane Naoumi, Mehdi Bennis, Marwa Chafii
We introduce a self-supervised framework for learning predictive and structured representations of wireless channels by modeling the temporal evolution of channel state information…
Reasoning-Native Agentic Communication for 6G
Hyowoon Seo, Joonho Seon, Jin Young Kim +3
Future 6G networks will interconnect not only devices, but autonomous machines that continuously sense, reason, and act. In such environments, communication can no longer be unders…
Hierarchical JEPA Meets Predictive Remote Control in Beyond 5G Networks
Abanoub M. Girgis, Ibtissam Labriji, Mehdi Bennis
In wireless networked control systems, ensuring timely and reliable state updates from distributed devices to remote controllers is essential for robust control performance. Howeve…
From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management
Charbel Bou Chaaya, Abanoub M. Girgis, Mehdi Bennis
In this work, we aim to optimize the radio resource management of a communication system between a remote controller and its device, whose state is represented through image frames…
GFlowNets for Active Learning Based Resource Allocation in Next Generation Wireless Networks
Charbel Bou Chaaya, Mehdi Bennis
In this work, we consider the radio resource allocation problem in a wireless system with various integrated functionalities, such as communication, sensing and computing. We desig…
RAG-Enabled Intent Reasoning for Application-Network Interaction
Salwa Mostafa, Mohamed K. Abdel-Aziz, Mohammed S. Elbamby +1
Intent-based network (IBN) is a promising solution to automate network operation and management. IBN aims to offer human-tailored network interaction, allowing the network to commu…
Accelerated Recovery with RIS: Designing Wireless Resilience in Mission-Critical Environments
Kevin Weinberger, Robert-Jeron Reifert, Aydin Sezgin +1
As 6G and beyond redefine connectivity, wireless networks become the foundation of critical operations, making resilience more essential than ever. With this shift, wireless system…
Learning Latent Wireless Dynamics from Channel State Information
Charbel Bou Chaaya, Abanoub M. Girgis, Mehdi Bennis
In this work, we propose a novel data-driven machine learning (ML) technique to model and predict the dynamics of the wireless propagation environment in latent space. Leveraging t…
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
Abanoub M. Girgis, Alvaro Valcarce, Mehdi Bennis
In remote control systems, transmitting large data volumes (e.g., images, video frames) from wireless sensors to remote controllers is challenging when uplink capacity is limited (…
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT
Salwa Mostafa, Mateus P. Mota, Alvaro Valcarce +1
We investigate the problem of supporting Industrial Internet of Things user equipment (IIoT UEs) with intent (i.e., requested quality of service (QoS)) and random traffic arrival.…
Intent Profiling and Translation Through Emergent Communication
Salwa Mostafa, Mohammed S. Elbamby, Mohamed K. Abdel-Aziz +1
To effectively express and satisfy network application requirements, intent-based network management has emerged as a promising solution. In intent-based methods, users and applica…