F. W. Murti, J. A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Pérez and G. Iosifidis, "An Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks," in IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2251-2265, April 2021, doi: 10.1109/TWC.2020.3040791
An optimal deployment framework for multi-cloud virtualized radio access networks
|Author:||Murti, Fahri Wisnu1; Ayala-Romero, Jose A.2; Garcia-Saavedra, Andres3;|
1Center for Wireless Communications (CWC), University of Oulu, 90570 Oulu, Finland
2School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, D02 PN40 Ireland
3NEC Laboratories Europe GmbH, 69115 Heidelberg, Germany
4NEC Laboratories Europe GmbH, 69115 Heidelberg, Germany, also with the i2CAT Foundation, 08034 Barcelona, Spain
5ICREA, 08010 Barcelona, Spain
6Delft University of Technology, 2628 CD Delft, The Netherlands
|Online Access:||PDF Full Text (PDF, 5.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021062239370
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-06-22
Virtualized radio access networks (vRAN) are emerging as a key component of wireless cellular networks, and it is therefore imperative to optimize their architecture. vRANs are decentralized systems where the Base Station (BS) functions can be split between the edge Distributed Units (DUs) and Cloud computing Units (CUs); hence they have many degrees of design freedom. We propose a framework for optimizing the number and location of CUs, the function split for each BS, and the association and routing for each DU-CU pair. We combine a linearization technique with a cutting-planes method to expedite the exact problem solution. The goal is to minimize the network costs and balance them with the criterion of centralization, i.e., the number of functions placed at CUs. Using data-driven simulations we find that multi-CU vRANs achieve cost savings up to 28% and improve centralization by 77%, compared to single-CU vRANs. Interestingly, we see non-trivial trade-offs among centralization and cost, which can be aligned or conflicting based on the traffic and network parameters. Our work sheds light on the vRAN design problem from a new angle, highlights the importance of deploying multiple CUs, and offers a rigorous optimization tool for balancing costs and performance.
IEEE transactions on wireless communications
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by Science Foundation Ireland (SFI) under Grant No. 17/CDA/4760. This work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709). This publication has emanated from research supported in part by a research grant from SFI and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077.
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.