mlsanityData to 7 Oct 2026

Semantics-Empowered Communication: A Tutorial-cum-Survey

arXiv 2212.08487 ↗First posted 16 Dec 2022cs.HC cs.AI cs.NIcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 108 of its 213 references that are in the map. First posted on arXiv 16 Dec 2022.

Builds on

108 of 213 references.

References · 108

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  4. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  5. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  6. 2017Graph Attention Networkscited by 8,854
  7. 2020End-to-End Object Detection with Transformerscited by 7,384
  8. 2014Explaining and Harnessing Adversarial Examplescited by 7,287
  9. 2017Inductive Representation Learning on Large Graphscited by 6,284
  10. 2017Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networkscited by 4,861
  11. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  12. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
38 more
  1. 2013Auto-Encoding Variational Bayescited by 3,980
  2. 2015Fast R-CNNcited by 2,930
  3. 2014CIDEr: Consensus-based Image Description Evaluationcited by 2,027
  4. 2018Demystifying MMD GANscited by 1,268
  5. 2016Deep Variational Information Bottleneckcited by 915
  6. 2020Deep Reinforcement Learning for Autonomous Driving: A Surveycited by 698
  7. 2018QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learningcited by 697
  8. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  9. 2018Universal Transformerscited by 613
  10. 2016Adaptive Computation Time for Recurrent Neural Networkscited by 479
  11. 2019Federated Learning in Mobile Edge Networks: A Comprehensive Surveycited by 407
  12. 2020Curriculum Learning for Reinforcement Learning Domains: A Framework and Surveycited by 350
  13. 2017Lossy Image Compression with Compressive Autoencoderscited by 289
  14. 2020Deep Learning Enabled Semantic Communication Systemscited by 282
  15. 2020CLUB: A Contrastive Log-ratio Upper Bound of Mutual Informationcited by 233
  16. 2017An Introduction to Deep Learning for the Physical Layercited by 227
  17. 2018Generative Adversarial Networks for Extreme Learned Image Compressioncited by 213
  18. 2016Full Resolution Image Compression with Recurrent Neural Networkscited by 170
  19. 2020Graph Information Bottleneckcited by 168
  20. 2017Real-Time Adaptive Image Compressioncited by 127
  21. 2015Density Modeling of Images using a Generalized Normalization Transformationcited by 123
  22. 2019Text Generation from Knowledge Graphs with Graph Transformerscited by 122
  23. 2020A Survey of Knowledge-Enhanced Text Generationcited by 119
  24. 2020Strip Pooling: Rethinking Spatial Pooling for Scene Parsingcited by 114
  25. 2016Improved Image Captioning via Policy Gradient optimization of SPIDErcited by 112
  26. 20206G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communicationscited by 108
  27. 2021Semantic Communication Systems for Speech Transmissioncited by 93
  28. 2019High Fidelity Speech Synthesis with Adversarial Networkscited by 90
  29. 2021Semantic Communications: Principles and Challengescited by 90
  30. 2017Deep Learning-Based Communication Over the Aircited by 72
  31. 2021Task-Oriented Multi-User Semantic Communicationscited by 72
  32. 2020A Lite Distributed Semantic Communication System for Internet of Thingscited by 69
  33. 2018Deep Learning for Joint Source-Channel Coding of Textcited by 68
  34. 2020Age of Information: An Introduction and Surveycited by 64
  35. 2020Semantics-Empowered Communication for Networked Intelligent Systemscited by 60
  36. 2020Wireless Image Retrieval at the Edgecited by 57
  37. 2021What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligencecited by 48
  38. 2021Task-Oriented Multi-User Semantic Communications for VQA Taskcited by 47

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Cited by year

Citing papers per year: 2023: 4; 2024: 3; 2025: 1.

8 papers.

  1. 2023Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluationcited by 8
  2. 2025RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarmscited by 7
  3. 2024Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applicationscited by 6
  4. 2023Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunitiescited by 4
  5. 2024On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networkscited by 4
  6. 2023Alternate Learning based Sparse Semantic Communications for Visual Transmissioncited by 1
  7. 2023Joint Semantic-Native Communication and Inference via Minimal Simplicial Structurescited by 0
  8. 2024Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimationcited by 0