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Cost Optimization of Cloud-RAN Planning and Provisioning for 5G Networks
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.
Cited literature [14 references]
https://hal.inria.fr/hal-01707682
Contributor : Thierry Turletti <>
Submitted on : Tuesday, February 13, 2018 - 8:08:52 AM
Last modification on : Tuesday, November 19, 2019 - 10:32:01 AM
Document(s) archivé(s) le : Sunday, May 6, 2018 - 9:47:11 AM
Contributor : Thierry Turletti <>
Submitted on : Tuesday, February 13, 2018 - 8:08:52 AM
Last modification on : Tuesday, November 19, 2019 - 10:32:01 AM
Document(s) archivé(s) le : Sunday, May 6, 2018 - 9:47:11 AM
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icc2018.pdf
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