6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications

By Emilio Calvanese Strinati, Sergio Barbarossa. Comput. Networks, 2020

548 citations recorded by the source corpus.

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 reasoning tools with machine learning algorithms paves the way to build semantic learning strategies enabling current machine learning algorithms to achieve better interpretation capabilities and contrast adversarial attacks. 6G semantic networks can bring semantic learning mechanisms at the edge of the network and, at the same time, semantic learning can help 6G networks to improve their efficiency and sustainability.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5445130cc219bcf9720f26ce18547363920acc38

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Citations in the corpus

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, unknown): “In [11], the authors state the need to integrate the semantic and effectiveness levels in traditional communications, and suggest an efficient cross-”
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022, unknown): “semantic learning mechanisms over future wireless communications were further pointed out in [13].”
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “Metaverse content dissemination services can place a massive burden on today’s data-oriented communication [137], where real-time traffic requires a channel with infinite capacity.”
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, background): “This has inspired the recent success applications for joint source-channel coding (JSCC) [18], task-oriented communication [19], [20], semantic communication [21].”
Semantic Communications: Principles and Challenges (2021, background): “[17] indicated the role of semantic communications in 6G.”