
arXiv: 2212.08487
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.
This paper has been accepted for publication in the IEEE Communications Surveys and Tutorials
Signal Processing (eess.SP), FOS: Computer and information sciences, History, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Integrated circuits, Tutorials, Surveys, Human-Computer Interaction (cs.HC), Computer Science - Networking and Internet Architecture, semantic similarity metrics, FOS: Electrical engineering, electronic engineering, information engineering, semantic transmission and reasoning, Electrical Engineering and Systems Science - Signal Processing, challenges and opportunities, Taxonomy, Networking and Internet Architecture (cs.NI), Measurement, enabling techniques, tutorial-cum survey, Semantics, semantic information theory, Artificial Intelligence (cs.AI), Semantic communications
Signal Processing (eess.SP), FOS: Computer and information sciences, History, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Integrated circuits, Tutorials, Surveys, Human-Computer Interaction (cs.HC), Computer Science - Networking and Internet Architecture, semantic similarity metrics, FOS: Electrical engineering, electronic engineering, information engineering, semantic transmission and reasoning, Electrical Engineering and Systems Science - Signal Processing, challenges and opportunities, Taxonomy, Networking and Internet Architecture (cs.NI), Measurement, enabling techniques, tutorial-cum survey, Semantics, semantic information theory, Artificial Intelligence (cs.AI), Semantic communications
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
