mlsanityData to 14 Oct 2026

6G Internet of Things: A Comprehensive Survey

arXiv 2108.04973 ↗First posted 11 Aug 2021eess.SPcited by 39

Not on the map. Why?

Abstract (arXiv)

The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fully intelligent and autonomous systems. In this article, we explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT. We first shed light on some of the most fundamental 6G technologies that are expected to empower future IoT networks, including edge intelligence, reconfigurable intelligent surfaces, space-air-ground-underwater communications, Terahertz communications, massive ultra-reliable and low-latency communications, and blockchain. Particularly, compared to the other related survey papers, we provide an in-depth discussion of the roles of 6G in a wide range of prospective IoT applications via five key domains, namely Healthcare Internet of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite Internet of Things, and Industrial Internet of Things. Finally, we highlight interesting research challenges and point out potential directions to spur further research in this promising area.

Key facts. Cited by 39 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Aug 2021.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 5; 2024: 7; 2025: 11; 2026: 13.

39 papers.

Sort:

By area:

  1. 2023From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlookscited by 16
  2. 2024Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Mapscited by 14
  3. 2021Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneitycited by 12
  4. 2024Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learningcited by 5
  5. 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devicescited by 5
  6. 2024From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networkscited by 4
  7. 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classificationcited by 4
  8. 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognitioncited by 4
  9. 2023Reliable and Efficient Data Collection in UAV-based IoT Networkscited by 3
  10. 2024IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Contentcited by 3
  11. 2025Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approachcited by 3
  12. 20266GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Managementcited by 3
27 more
  1. 2026Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selectioncited by 3
  2. 2022Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Reviewcited by 2
  3. 2024DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Thingscited by 2
  4. 2025RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1textpertenthousand Spatial Samplingcited by 2
  5. 2023AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recoverycited by 1
  6. 2025Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networkscited by 1
  7. 2025Federated Learning with Differential Privacy: An Utility-Enhanced Approachcited by 1
  8. 2025Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splattingcited by 1
  9. 2025Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimizationcited by 1
  10. 2026AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigationcited by 1
  11. 2026Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensingcited by 1
  12. 2022FiFo: Fishbone Forwarding in Massive IoT Networkscited by 0
  13. 2023Multi-Power Level Q-Learning Algorithm for Random Access in NOMA mMTC Systemscited by 0
  14. 2023An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchangecited by 0
  15. 2024Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communicationcited by 0
  16. 2024SemAI: Semantic Artificial Intelligence-enhanced DNA storage for Internet-of-Thingscited by 0
  17. 2025Federated Structured Sparse PCA for Anomaly Detection in IoT Networkscited by 0
  18. 2025Optimistic Learning for Communication Networkscited by 0
  19. 2025DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Frameworkcited by 0
  20. 2025Semantic-Aware Visual Information Transmission With Key Information Extraction Over Wireless Networkscited by 0
  21. 2025Agentic Link Construction for Environment and Intent Aware 6G Communicationcited by 0
  22. 2026RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learningcited by 0
  23. 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directionscited by 0
  24. 2026Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Frameworkcited by 0
  25. 2026Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networkscited by 0
  26. 2026Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Frameworkcited by 0
  27. 2026Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networkscited by 0