1 citations · 1 across the 9 of their papers we have counts for
9 papers
Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization
Tomás Hüttebräucker, Simone Fiorellino, Mohamed Sana +2
In multi-user semantic communication, language mismatche poses a significant challenge when independently trained agents interact. We present a novel semantic equalization algorith…
Early Acceptance Matching Game for User-Centric Clustering in Scalable Cell-free MIMO Networks
Ala Eddine Nouali, Mohamed Sana, Jean-Paul Jamont
The canonical setup is the primary approach adopted in cell-free multiple-input multiple-output (MIMO) networks, in which all access points (APs) jointly serve every user equipment…
Soft Partitioning of Latent Space for Semantic Channel Equalization
Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
Semantic channel equalization has emerged as a solution to address language mismatch in multi-user semantic communications. This approach aims to align the latent spaces of an enco…
Latent Space Alignment for Semantic Channel Equalization
Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
We relax the constraint of a shared language between agents in a semantic and goal-oriented communication system to explore the effect of language mismatch in distributed task solv…
Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach
Emilio Calvanese Strinati, George C. Alexandropoulos, Madhusudan Giyyarpuram +14
This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications…
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach
Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore +17
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requir…