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A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

arXiv 1902.10265 ↗First posted 26 Feb 2019cs.IT cs.NI math.ITcited by 157

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Abstract (arXiv)

The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Everything applications. These 5G drawbacks are currently spurring worldwide activities focused on defining the next-generation 6G wireless system that can truly integrate far-reaching applications ranging from autonomous systems to extended reality and haptics. Despite recent 6G initiatives1, the fundamental architectural and performance components of the system remain largely undefined. In this paper, we present a holistic, forward-looking vision that defines the tenets of a 6G system. We opine that 6G will not be a mere exploration of more spectrum at high-frequency bands, but it will rather be a convergence of upcoming technological trends driven by exciting, underlying services. In this regard, we first identify the primary drivers of 6G systems, in terms of applications and accompanying technological trends. Then, we propose a new set of service classes and expose their target 6G performance requirements. We then identify the enabling technologies for the introduced 6G services and outline a comprehensive research agenda that leverages those technologies. We conclude by providing concrete recommendations for the roadmap toward 6G. Ultimately, the intent of this article is to serve as a basis for stimulating more out-of-the-box research around 6G.

Key facts. Cited by 157 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Feb 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 19; 2022: 30; 2023: 19; 2024: 25; 2025: 34; 2026: 30.

157 papers.

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  1. 2021Distributed Learning in Wireless Networks: Recent Progress and Future Challengescited by 125
  2. 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
  3. 2025WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communicationcited by 39
  4. 2024Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6Gcited by 30
  5. 2022Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approachcited by 28
  6. 2022Federated Learning in Satellite Constellationscited by 21
  7. 2021Decentralized Inference with Graph Neural Networks in Wireless Communication Systemscited by 18
  8. 2024Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learningcited by 17
  9. 2021Towards Energy Efficient Federated Learning over 5G+ Mobile Devicescited by 16
  10. 2021Edge Federated Learning Via Unit-Modulus Over-The-Air Computationcited by 16
  11. 2022An Energy and Carbon Footprint Analysis of Distributed and Federated Learningcited by 16
  12. 2022Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Servicescited by 15
38 more
  1. 2023Holistic Network Virtualization and Pervasive Network Intelligence for 6Gcited by 14
  2. 2022Curriculum Learning for Goal-Oriented Semantic Communications with a Common Languagecited by 13
  3. 2022Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfacescited by 12
  4. 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
  5. 2021Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Designcited by 10
  6. 2023Latent Semantic Diffusion-based Channel Adaptive De-Noising SemCom for Future 6G Systemscited by 10
  7. 2023Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiencescited by 10
  8. 2022A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directionscited by 8
  9. 2022AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trendscited by 8
  10. 2022Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Networkcited by 8
  11. 2022Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directionscited by 8
  12. 2023Optimization of Image Transmission in a Cooperative Semantic Communication Networkscited by 8
  13. 2024Large Language Model-Driven Curriculum Design for Mobile Networkscited by 8
  14. 2021A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networkscited by 7
  15. 2021A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networkscited by 7
  16. 2021Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learningcited by 7
  17. 2023Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approachescited by 7
  18. 2024Synchronous Multi-modal Semantic Communication System with Packet-level Codingcited by 7
  19. 2024LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKscited by 7
  20. 2021Semantic Communications With AI Taskscited by 6
  21. 2021Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networkscited by 6
  22. 2022Federated Distillation based Indoor Localization for IoT Networkscited by 6
  23. 2023Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interferencecited by 6
  24. 2024Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMscited by 6
  25. 2026Agentic AI Empowered Intent-Based Networking for 6Gcited by 6
  26. 2021Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challengescited by 5
  27. 2022Artificial Intelligence Techniques for Next-Generation Mega Satellite Networkscited by 5
  28. 2022Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networkscited by 5
  29. 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Controlcited by 5
  30. 2022Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysiscited by 5
  31. 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systemscited by 5
  32. 2024R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Modelscited by 5
  33. 2025Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edgecited by 5
  34. 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devicescited by 5
  35. 2022AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networkscited by 4
  36. 2022CFLIT: Coexisting Federated Learning and Information Transfercited by 4
  37. 2022The Internet of Senses: Building on Semantic Communications and Edge Intelligencecited by 4
  38. 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insightscited by 4

50 most cited of 157 All 157 (JSON)