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.
翻译:语义通信被视为超越香农范式的突破,其目的在于成功地传递来源传递的语义信息,而不是准确接收每一个符号或位,而不论其含义如何。本条概述了语义通信。在简要回顾香农信息理论之后,我们与深层次学习所促成的理论、框架和系统设计讨论了语义通信。与测量传统通信系统的符号/位错误率不同,还讨论了语义通信的性能衡量标准。文章最后在语义通信中提出了几个开放问题。