论文标题
传统通信中的修订模块通过修订模块的无线语义传输
Wireless Semantic Transmission via Revising Modules in Conventional Communications
论文作者
论文摘要
由于其较高的频谱效率和错误校正性能，语义通信已成为流行的研究领域。一些研究使用深度学习来提取语义特征，该语义特征通常形成端到端的语义通信系统，并且很难解决不同的无线环境。因此，已经研究了基于语义的新型编码方法和性能指标，并且设计的语义系统由各种模块组成，如常规通信中，但功能改善。本文讨论了在最先进的语义通信中利用无线系统中传统模块的最新成就。我们通过两个示例证明，可以重新设计传统的混合自动重复请求和调制方法，以实现新颖的语义编码和指标，以进一步提高无线语义通信的性能。在本文结尾处，确定了一些开放问题。
Semantic communication has become a popular research area due its high spectrum efficiency and error-correction performance. Some studies use deep learning to extract semantic features, which usually form end-to-end semantic communication systems and are hard to address the varying wireless environments. Therefore, the novel semantic-based coding methods and performance metrics have been investigated and the designed semantic systems consist of various modules as in the conventional communications but with improved functions. This article discusses recent achievements in the state-of-art semantic communications exploiting the conventional modules in wireless systems. We demonstrate through two examples that the traditional hybrid automatic repeat request and modulation methods can be redesigned for novel semantic coding and metrics to further improve the performance of wireless semantic communications. At the end of this article, some open issues are identified.
