5 citations · 9 across the 13 of their papers we have counts for
5 papers · 1 filter
Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks
Hatim Chergui, Carolina Fernández-Martínez, Mehdi Bennis +1
Future 6G networks will rely on Large Language Model (LLM) agents to manage the Radio Access Network (RAN). However, current architectures assume inter-agent messages convey object…
Electromagnetic Neural Network for Direction-of-Arrival Estimation
Shining Lin, Jiancheng An, Lu Gan +4
Accurate and real-time direction of arrival (DOA) estimation is crucial for beamforming in unmanned aerial vehicle (UAV) communication systems. However, the existing high-precision…
Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications
Jinbao Li, Jiancheng An, Hao Liu +4
Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over tra…
Stacked Intelligent Metasurface-Aided Wave-Domain Signal Processing: From Communications to Sensing and Computing
Jiancheng An, Chau Yuen, Marco Di Renzo +3
Artificial neural networks possess remarkable capabilities for abstract feature extraction, while electromagnetic computing leverages wave propagation to execute complex mathematic…
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…