mlsanityData to 7 Oct 2026

Artificial Intelligence-Enabled Intelligent 6G Networks

arXiv 1912.05744 ↗First posted 12 Dec 2019cs.NI eess.SPcited by 27

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Abstract (arXiv)

With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projection) with colorful requirements, current networks (e.g., 4G and upcoming 5G networks) may not be able to completely meet quickly rising traffic demands. Accordingly, efforts from both industry and academia have already been put to the research on 6G networks. Recently, artificial intelligence (AI) has been utilized as a new paradigm for the design and optimization of 6G networks with a high level of intelligence. Therefore, this article proposes an AI-enabled intelligent architecture for 6G networks to realize knowledge discovery, smart resource management, automatic network adjustment and intelligent service provisioning, where the architecture is divided into four layers: intelligent sensing layer, data mining and analytics layer, intelligent control layer and smart application layer. We then review and discuss the applications of AI techniques for 6G networks and elaborate how to employ the AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. Moreover, we highlight important future research directions and potential solutions for AI-enabled intelligent 6G networks, including computation efficiency, algorithms robustness, hardware development and energy management.

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Dec 2019.

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Citing papers per year: 2021: 5; 2022: 9; 2023: 3; 2024: 6; 2025: 4.

27 papers.

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  1. 2024Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learningcited by 17
  2. 2022Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networkscited by 15
  3. 2023Holistic Network Virtualization and Pervasive Network Intelligence for 6Gcited by 14
  4. 2024Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectoriescited by 9
  5. 2021Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networkscited by 7
  6. 2023Optimization Design for Federated Learning in Heterogeneous 6G Networkscited by 7
  7. 2021Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learningcited by 5
  8. 2021Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challengescited by 5
  9. 2022AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networkscited by 4
  10. 2023Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Marketscited by 4
  11. 2024Survey of Graph Neural Network for Internet of Things and NextG Networkscited by 4
  12. 2025SQ-GAN: Semantic Image Communications Using Masked Vector Quantizationcited by 4
15 more
  1. 2022The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retrainingcited by 3
  2. 2024Learning the Optimal Path and DNN Partition for Collaborative Edge Inferencecited by 3
  3. 2022AI Empowered Net-RCA for 6Gcited by 2
  4. 2024Explainable AI for Enhancing Efficiency of DL-based Channel Estimationcited by 2
  5. 2025AURA: Adaptive Unified Reasoning and Automation with LLM-Guided MARL for NextG Cellular Networkscited by 2
  6. 2021Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approachcited by 1
  7. 2021Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systemscited by 1
  8. 2022Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Managementcited by 0
  9. 2022Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networkscited by 0
  10. 2022A Review of the Convergence of 5G/6G Architecture and Deep Learningcited by 0
  11. 2022Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computingcited by 0
  12. 2022Beyond 5G Networks: Integration of Communication, Computing, Caching, and Controlcited by 0
  13. 2024Distributed Collaborative Inference System in Next-Generation Networks and Communicationcited by 0
  14. 2025Integration of TinyML and LargeML: A Survey of 6G and Beyondcited by 0
  15. 2025Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networkscited by 0