1 citations · 2 across the 13 of their papers we have counts for
13 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…
Semantic Communication Enhanced by Knowledge Graph Representation Learning
Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati
This paper investigates the advantages of representing and processing semantic knowledge extracted into graphs within the emerging paradigm of semantic communications. The proposed…
On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications
Nitisha Singh, Christo Kurisummoottil Thomas, Walid Saad +1
Semantic communication (SC) is recognized as a promising approach for enabling reliable communication with minimal data transfer while maintaining seamless connectivity for a group…
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…