# A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G Networks

arXiv: https://arxiv.org/abs/2510.10756 · HTML: https://mlsanity.com/paper/2510.10756/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Oct 2025.

## Built on by (most cited first, 1 of 1)

- [6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks](https://mlsanity.com/paper/2602.08675/) (2026)

## Abstract (arXiv)

In the ensuing ultra-dense and diverse environment in future ac6G communication networks, it will be critical to optimize network resources via mechanisms that recognize and cater to the diversity, density, and dynamicity of system changes. However, coping with such environments cannot be done through the current network approach of compartmentalizing data as distinct from network operations. Instead, we envision a computing continuum where the content of the transmitted data is considered as an essential element in the transmission of that data, with data sources and streams analyzed and distilled to their essential elements, based on their semantic context, and then processed and transmitted over dedicated slices of network resources. By exploiting the rich content and semantics within data for dynamic and autonomous optimization of the computing continuum, this article opens the door to integrating communication, computing, cyber-physical systems, data flow, and AI, presenting new and exciting opportunities for cross-layer design. We propose semantic slicing, a two-pronged approach that builds multiple virtual divisions within a single physical and data infrastructure, each with its own distinct characteristics and needs. We view semantic slicing as a novel shift from current static slicing techniques, extending existing slicing approaches such that it can be applied dynamically at different levels and categories of resources in the computing continuum. Further it propels the advancement of semantic communication via the proposed architectural framework.