Published May 20, 2018
| Version v1
Conference paper
Cost Optimization of Cloud-RAN Planning and Provisioning for 5G Networks
- Others:
- Design, Implementation and Analysis of Networking Architectures (DIANA) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Eurecom [Sophia Antipolis]
- Jack Baskin School of Engineering (UCSC) ; University of California [Santa Cruz] (UC Santa Cruz) ; University of California (UC)-University of California (UC)
Description
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.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01707682
- URN
- urn:oai:HAL:hal-01707682v1
- Origin repository
- UNICA