Semantic Communications: Principles and Challenges

By Zhijin Qin, Xiaoming Tao, Jianhua Lu, Geoffrey Y. Li. arXiv.org, 2021

485 citations recorded by the source corpus.

Semantic communication, regarded as the breakthrough beyond the Shannon paradigm, aims at the successful transmission of semantic information conveyed by the source rather than the accurate reception of each single symbol or bit regardless of its meaning. This article provides an overview on semantic communications. After a brief review of Shannon information theory, we discuss semantic communications with theory, framework, and system design enabled by deep learning. Different from the symbol/bit error rate used for measuring conventional communication systems, performance metrics for semantic communications are also discussed. The article concludes with several open questions in semantic communications.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/0ef8bc071e7a4c8eb1b031b156bb4728bf7ef974

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Citations in the corpus

A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G (2023, background): “…of symbols in a technical level, semantic communication considers the exchange of semantics or even the effects of semantics exchange in semantic and effectiveness levels, by exploiting novel joint source and channel coding (JSCC) designs via, e.g., emerging deep learning techniques [214,215].”
Task-Oriented Multi-User Semantic Communications (2021, background): “, resource multiplexing [5], and semantic communications [6], [7].”
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “Shannon capacity limit [138], semantic communication, one of the intelligent solutions on the physical layer, can transmit only”
Resource Allocation for Text Semantic Communications (2022, unknown): “W ITH growing wireless applications and increasing data traffic, wireless communications are facing the bottleneck of spectrum scarcity, which motivates a paradigm shift from conventional to semantic communications [1], [2].”
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, unknown): “not yet a general metric for different types of embedding [12].”
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022, unknown): “In [19], the authors discussed principles and challenges of semantic”
Toward Semantic Communications: Deep Learning-Based Image Semantic Coding (2022, background): “Recent works mainly focus on semantic communications for text/speech modalities [2], [3], [4], [5], and therefore can be categorize as text semantic communications(TSC).”