# Key Focus Areas and Enabling Technologies for 6G

arXiv: https://arxiv.org/abs/2412.07029 · HTML: https://mlsanity.com/paper/2412.07029/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Dec 2024.

## Built on by (most cited first, 6 of 6)

- [Agentic TinyML for Intent-aware Handover in 6G Wireless Networks](https://mlsanity.com/paper/2508.09147/) (2025)
- [Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation](https://mlsanity.com/paper/2412.16779/) (2024)
- [Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis](https://mlsanity.com/paper/2504.06235/) (2025)
- [Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deployment](https://mlsanity.com/paper/2507.17850/) (2025)
- [MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes](https://mlsanity.com/paper/2609.00715/) (2026)
- [AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning](https://mlsanity.com/paper/2609.23084/) (2026)

## 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.
