University of Oulu

R. A. Addad, M. Bagaa, T. Taleb, D. L. C. Dutra and H. Flinck, "Optimization Model for Cross-Domain Network Slices in 5G Networks," in IEEE Transactions on Mobile Computing, vol. 19, no. 5, pp. 1156-1169, 1 May 2020, doi: 10.1109/TMC.2019.2905599

Optimization model for cross-domain network slices in 5g networks

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Author: Addad, Rami Akrem1; Bagaa, Miloud1; Taleb, Tarik1,2,3;
Organizations: 1Aalto University, Espoo, Finland
2Oulu University, Finland
3Sejong University, Seoul, Korea
4Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
5Nokia Bell Labs, Espoo, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 6.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-07-13


Network Slicing (NS) is a key enabler of the upcoming 5G and beyond system, leveraging on both Network Function Virtualization (NFV) and Software Defined Networking (SDN), NS will enable a flexible deployment of Network Functions (NFs) belonging to multiple Service Function Chains (SFC) over various administrative and technological domains. Our novel architecture addresses the complexities and heterogeneities of verticals targeted by 5G systems, whereby each slice consists of a set of SFCs, and each SFC handles specific traffic within the slice. In this paper, we propose and evaluate a MILP optimization model to solve the complexities that arise from this new environment. Our proposed model enables a cost-optimal deployment of network slices allowing a mobile network operator to efficiently allocate the underlying layer resources according to its users’ requirements. We also design a greedy-based heuristic to investigate the possible trade-offs between execution runtime and network slice deployment. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the use of both the VNF nodes and the physical nodes, reducing the service provider’s Operating Expenditure (OPEX).

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Series: IEEE transactions on mobile computing
ISSN: 1536-1233
ISSN-E: 1558-0660
ISSN-L: 1536-1233
Volume: 19
Issue: 5
Pages: 1156 - 1169
Article number: 8668438
DOI: 10.1109/TMC.2019.2905599
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Academy of Finland Project 6Genesis Flagship (grant no. 318927), and in part by the European Unions Horizon 2020 Research and Innovation Program through the MATILDA Project under Grant No. 761898.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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