Related papers: Semantic Communications: Principles and Challenges

Semantic Communications: Principles and Challenges

URL: http://arxiv.org/abs/2201.01389v2
Date: Thu, 6 Jan 2022 10:50:24 GMT
Title: Semantic Communications: Principles and Challenges
Authors: Zhijin Qin, Xiaoming Tao, Jianhua Lu, and Geoffrey Ye Li
Abstract summary: This article provides an overview on semantic communications. After a brief review on Shannon information theory, we discuss semantic communications with theory, frameworks, and system design enabled by deep learning.
Score: 59.13318519076149
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Semantic communication, regarded as the breakthrough beyond 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 on Shannon information theory, we discuss semantic communications with theory, frameworks, and system design enabled by deep learning. Different from the symbol/bit error rate used for measuring the conventional communication systems, new performance metrics for semantic communications are also discussed. The article is concluded by several open questions.

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