计算机科学
发射机
语义技术
电信
通信系统
软件部署
意义(存在)
信息和通信技术
人工智能
语义网
语义计算
频道(广播)
万维网
软件工程
心理学
心理治疗师
作者
Xuewen Luo,Hsiao‐Hwa Chen,Qing Guo
标识
DOI:10.1109/mwc.101.2100269
摘要
With the deployment of the fifth generation (5G) in many countries, people start to think about what the next-generation of wireless communications will be. The current communication technologies are already approaching the Shannon physical capacity limit with advanced encoding (decoding) and modulation techniques. On the other hand, artificial intelligence (AI) plays an increasingly important role in the evolution from traditional communication technologies to the future. Semantic communication is one of the emerging communication paradigms, which works based on its innovative “semantic-meaning passing” concept. The core of semantic communication is to extract the “meanings” of sent information at a transmitter, and with the help of a matched knowledge base (KB) between a transmitter and a receiver, the semantic information can be “interpreted” successfully at a receiver. Therefore, semantic communication essentially is a communication scheme based largely on AI. In this article, an overview of the latest deep learning (DL) and end-to-end (E2E) communication based semantic communications will be given and open issues that need to be tackled will be discussed explicitly.
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