# AI-Native Multi-Access Future Networks -- The REASON Architecture

arXiv: https://arxiv.org/abs/2411.06870 · HTML: https://mlsanity.com/paper/2411.06870/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 116 references that are in the map.
- First posted on arXiv 11 Nov 2024.

## Builds on (most cited first, 9 of 9)

- [The many Shapley values for model explanation](https://mlsanity.com/paper/1908.08474/) (2019)
- [Machine Learning for Synthetic Data Generation: A Review](https://mlsanity.com/paper/2302.04062/) (2023)
- [Semantic Communications: Principles and Challenges](https://mlsanity.com/paper/2201.01389/) (2021)
- [White Paper on Broadband Connectivity in 6G](https://mlsanity.com/paper/2004.14247/) (2020)
- [Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference](https://mlsanity.com/paper/2406.14328/) (2024)
- [Service Level Agreements and Security SLA: A Comprehensive Survey](https://mlsanity.com/paper/2405.00009/) (2024)
- [Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case](https://mlsanity.com/paper/2307.12903/) (2023)
- [FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments](https://mlsanity.com/paper/2410.01386/) (2024)
- [Energy-Efficient Softwarized Networks: A Survey](https://mlsanity.com/paper/2307.11301/) (2023)

## Built on by (most cited first, 2 of 2)

- [Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations](https://mlsanity.com/paper/2503.23934/) (2025)
- [TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning](https://mlsanity.com/paper/2604.02361/) (2026)

## Abstract (arXiv)

The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the direction for the key features of these networks. Some common emerging themes are the tight integration of AI, the convergence of multiple access technologies and sustainable operation, aiming to meet stringent performance and societal requirements. To that end, we are introducing REASON - Realising Enabling Architectures and Solutions for Open Networks. The REASON project aims to address technical challenges in future network deployments, such as E2E service orchestration, sustainability, security and trust management, and policy management, utilising AI-native principles, considering multiple access technologies and cloud-native solutions. This paper presents REASON's architecture and the identified requirements for future networks. The architecture is meticulously designed for modularity, interoperability, scalability, simplified troubleshooting, flexibility, and enhanced security, taking into consideration current and future standardisation efforts, and the ease of implementation and training. It is structured into four horizontal layers: Physical Infrastructure, Network Service, Knowledge, and End-User Application, complemented by two vertical layers: Management and Orchestration, and E2E Security. This layered approach ensures a robust, adaptable framework to support the diverse and evolving requirements of 6G networks, fostering innovation and facilitating seamless integration of advanced technologies.