# Joint Resource and Admission Management for Slice-enabled Networks

arXiv: https://arxiv.org/abs/1912.00192 · HTML: https://mlsanity.com/paper/1912.00192/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Nov 2019.

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

- [Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks](https://mlsanity.com/paper/2107.05991/) (2021)

## Abstract (arXiv)

Network slicing is a crucial part of the 5G networks that communication service providers (CSPs) seek to deploy. By exploiting three main enabling technologies, namely, software-defined networking (SDN), network function virtualization (NFV), and network slicing, communication services can be served to the end-users in an efficient, scalable, and flexible manner. To adopt these technologies, what is highly important is how to allocate the resources and admit the customers of the CSPs based on the predefined criteria and available resources. In this regard, we propose a novel joint resource and admission management algorithm for slice-enabled networks. In the proposed algorithm, our target is to minimize the network cost of the CSP subject to the slice requests received from the tenants corresponding to the virtual machines and virtual links constraints. Our performance evaluation of the proposed method shows its efficiency in managing CSP's resources.