# Optimal Slice Allocation in 5G Core Networks

arXiv: https://arxiv.org/abs/1802.04655 · HTML: https://mlsanity.com/paper/1802.04655/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Feb 2018.

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

- [Adversarial Training for Process Reward Models](https://mlsanity.com/paper/2511.22888/) (2025)
- [LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation](https://mlsanity.com/paper/2512.00039/) (2025)

## Abstract (arXiv)

5G network slicing is essential to providing flexible, scalable and on-demand solutions for the vast array of applications in 5G networks. Two key challenges of 5G network slicing are function isolation (intra-slice) and guaranteeing end-to-end delay for a slice. In this paper, we address the question of optimal allocation of a slice in 5G core networks by tackling these two challenges. We adopt and extend the work by D. Dietrich [1] to create a model that satisfies constraints on end-to-end delay as well as isolation between components of a slice for reliability.