6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati, Sergio Barbarossa

TL;DR
This paper advocates for integrating semantic and goal-oriented communication in 6G networks to enhance effectiveness and sustainability, emphasizing the importance of meaning and goal achievement over traditional data transmission.
Contribution
It introduces the concept of semantic and goal-oriented communication for 6G, proposing new strategies that combine knowledge reasoning with machine learning for improved network performance.
Findings
Semantic communication focuses on meaning rather than packets.
Combining knowledge reasoning with machine learning enhances interpretation.
Semantic learning at the network edge improves efficiency and sustainability.
Abstract
The goal of this paper is to promote the idea that including semantic and goal-oriented aspects in future 6G networks can produce a significant leap forward in terms of system effectiveness and sustainability. Semantic communication goes beyond the common Shannon paradigm of guaranteeing the correct reception of each single transmitted packet, irrespective of the meaning conveyed by the packet. The idea is that, whenever communication occurs to convey meaning or to accomplish a goal, what really matters is the impact that the correct reception/interpretation of a packet is going to have on the goal accomplishment. Focusing on semantic and goal-oriented aspects, and possibly combining them, helps to identify the relevant information, i.e. the information strictly necessary to recover the meaning intended by the transmitter or to accomplish a goal. Combining knowledge representation and…
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