Cost Optimization of Cloud-RAN Planning and Provisioning for 5G Networks

Osama Arouk 1 Thierry Turletti 1 Navid Nikaein 2 Katia Obraczka 3
1 DIANA - Design, Implementation and Analysis of Networking Architectures
CRISAM - Inria Sophia Antipolis - Méditerranée
2 Eurecom [Sophia Antipolis]
3 UCSC - Jack Baskin School of Engineering
Abstract : In this paper, we propose a network planning and provisioning framework that optimizes deployment cost in C-RAN based 5G networks. Our framework is based on a Mixed Integer Quadratically Constrained Programming (MIQCP) model which optimizes " virtualized " 5G service chain deployment cost while performing adequate provisioning to address user demand and performance requirements. We use two realistic scenarios to showcase that our framework can be applied to different types of deployments and discuss the computational cost and scalability of our solution.
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Osama Arouk, Thierry Turletti, Navid Nikaein, Katia Obraczka. Cost Optimization of Cloud-RAN Planning and Provisioning for 5G Networks. ICC 2018 - IEEE International Conference on Communications, May 2018, Kansa City, MO, United States. ⟨hal-01707682⟩

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