Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e.g., theories, applications, metrics and implementations) in both academia and industry. In this work, we primarily aim to provide a comprehensive survey on both the background and research taxonomy, as well as a detailed technical tutorial. Specifically, we start by reviewing the literature and answering the "what" and "why" questions in semantic transmissions. Afterwards, we present the ecosystems of SemCom, including history, theories, metrics, datasets and toolkits, on top of which the taxonomy for research directions is presented. Furthermore, we propose to categorize the critical enabling techniques by explicit and implicit reasoning-based methods, and elaborate on how they evolve and contribute to modern content & channel semantics-empowered communications. Besides reviewing and summarizing the latest efforts in SemCom, we discuss the relations with other communication levels (e.g., conventional communications) from a holistic and unified viewpoint. Subsequently, in order to facilitate future developments and industrial applications, we also highlight advanced practical techniques for boosting semantic accuracy, robustness, and large-scale scalability, just to mention a few. Finally, we discuss the technical challenges that shed light on future research opportunities.
翻译:随着语义增强通信 (SemCom) 研究的兴起,学术界和工业界对这个领域的各个方面(如理论、应用、度量和实现)越来越感到兴趣。本文主要旨在提供一份全面的综述,包括相关背景和研究分类、详细的技术教程。具体而言,我们从回顾文献并回答语义传输中的“什么”和“为什么”问题开始。接着,我们介绍了 SemCom 的生态系统,包括历史、理论、度量、数据集和工具包,以及研究方向的分类法。此外,我们提出将关键的启用技术分为显式和隐式推理方法,并详细阐述它们如何发展和促进现代内容和通道语义增强通信。除了回顾和总结 SemCom 领域的最新进展,我们还从整体和统一的角度讨论了与其他通信层(如传统通信)的关系。随后,为了促进未来的发展和工业应用,我们还介绍了提高语义准确性、鲁棒性和大规模可伸缩性的先进实用技术。最后,我们讨论了技术上的挑战,为未来的研究机会指明方向。