Semantic communication is regarded as the breakthrough beyond the Shannon paradigm, which transmits only semantic information to significantly improve communication efficiency. This article introduces a framework for generalized semantic communication system, which exploits the semantic information in both the multimodal source and the wireless channel environment. Subsequently, the developed deep learning enabled end-to-end semantic communication and environment semantics aided wireless communication techniques are demonstrated through two examples. The article concludes with several research challenges to boost the development of such a generalized semantic communication system.
@article{arxiv.2301.04552,
title = {A Generalized Semantic Communication System: from Sources to Channels},
author = {Zhijin Qin and Feifei Gao and Bo Lin and Xiaoming Tao and Guangyi Liu and Chengkang Pan},
journal= {arXiv preprint arXiv:2301.04552},
year = {2023}
}