Key Focus Areas and Enabling Technologies for 6G
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Abstract (arXiv)
We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network protocol stack, different target deployment environments, and various perceived levels of technical maturity. We outline four areas of societal focus that will be impacted by these technologies, and overview several research directions that hold the potential to address the problems in these important focus areas.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Dec 2024.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 2.
6 papers.
- 2025Agentic TinyML for Intent-aware Handover in 6G Wireless Networkscited by 2
- 2024Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimationcited by 1
- 2025Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysiscited by 0
- 2025Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deploymentcited by 0
- 2026MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codescited by 0
- 2026AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learningcited by 0
- 2026AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning19 Sep 2026
- 2026MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes1 Sep 2026
- 2025Agentic TinyML for Intent-aware Handover in 6G Wireless Networks2 Aug 2025
- 2025Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deployment23 Jul 2025
- 2025Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis8 Apr 2025
- 2024Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation21 Dec 2024