mlsanityData to 14 Oct 2026

Towards 6G Networks: Use Cases and Technologies

arXiv 1903.12216 ↗First posted 28 Mar 2019cs.NIcited by 14

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Abstract (arXiv)

Reliable data connectivity is vital for the ever increasingly intelligent, automated and ubiquitous digital world. Mobile networks are the data highways and, in a fully connected, intelligent digital world, will need to connect everything, from people to vehicles, sensors, data, cloud resources and even robotic agents. Fifth generation (5G) wireless networks (that are being currently deployed) offer significant advances beyond LTE, but may be unable to meet the full connectivity demands of the future digital society. Therefore, this article discusses technologies that will evolve wireless networks towards a sixth generation (6G), and that we consider as enablers for several potential 6G use cases. We provide a full-stack, system-level perspective on 6G scenarios and requirements, and select 6G technologies that can satisfy them either by improving the 5G design, or by introducing completely new communication paradigms.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2019.

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Citing papers per year: 2021: 5; 2022: 9.

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  1. 2021AI-Native Network Slicing for 6G Networkscited by 31
  2. 2022An Energy and Carbon Footprint Analysis of Distributed and Federated Learningcited by 16
  3. 2021On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSIcited by 9
  4. 2022Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysiscited by 7
  5. 2022Goal-Oriented Quantization: Analysis, Design, and Application to Resource Allocationcited by 6
  6. 2021Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challengescited by 5
  7. 2022A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenariocited by 4
  8. 2021Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systemscited by 3
  9. 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systemscited by 3
  10. 2022The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retrainingcited by 3
  11. 2022Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3cited by 3
  12. 2022Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approachcited by 3
2 more
  1. 2022Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systemscited by 1
  2. 2022An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systemscited by 0