.png){kind=icon}
返回
Semantics-Empowered Communications: A Tutorial-Cum-Survey
.png){kind=icon}
PRE
AI
DOI：10.1109/COMST.2023.3333342.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Semantic communications
tutorial-cum survey
semantic information theory
semantic similarity metrics
semantic transmission and reasoning
enabling techniques
challenges and opportunities
期刊
I
IF:
46.7
论文数:
1.5K
被引数:
3.3W
机构
引用论文
.png){kind=icon}
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning Over Noisy Channels有效通信: 用于嘈杂通道上的多主体强化学习的联合学习和通信框架
OAAI
OAAI分享收藏
查看更多内容