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Semantics-Empowered Communications: A Tutorial-cum-Survey

  • Zhilin Lu
  • , Rongpeng Li
  • , Kun Lu
  • , Xianfu Chen
  • , Ekram Hossain
  • , Zhifeng Zhao
  • , Honggang Zhang
    • Zhejiang University
    • University of Manitoba

    Research output: Contribution to journal › Article › Scientific › peer-review

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)41-79
    Number of pages39
    JournalIEEE Communications Surveys and Tutorials
    Volume26
    Issue number1
    DOIs
    Publication statusPublished - 2024
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported in part by the Zhejiang Key Research and Development Plan under Grant 2022C01093; in part by the National Natural Science Foundation of China under Grant 62071425; and in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LR23F010005.

    Keywords

    • challenges and opportunities
    • enabling techniques
    • History
    • Integrated circuits
    • Measurement
    • Semantic communications
    • semantic information theory
    • semantic similarity metrics
    • semantic transmission and reasoning
    • Semantics
    • Surveys
    • Taxonomy
    • tutorial-cum survey
    • Tutorials

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