University of Oulu

J. Haavisto, M. Arif, L. Lovén, T. Leppänen and J. Riekki, "Open-source RANs in Practice: an Over-The-Air Deployment for 5G MEC," 2019 European Conference on Networks and Communications (EuCNC), Valencia, Spain, 2019, pp. 495-500. doi: 10.1109/EuCNC.2019.8801973

Open-source RANs in practice : an Over-The-Air deployment for 5G MEC

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Author: Haavisto, Juuso1; Arif, Muhammad2; Lovén, Lauri1;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Oulu, Finland
2Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082024777
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-08-20
Description:

Abstract

Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, developing and deploying edge applications, that rely on cellular networks, is burdensome. Such network infrastructures are often based on proprietary components, each with unique programming abstractions and interfaces. To facilitate straightforward deployment of edge applications, we introduce open-source software (OSS) based radio access network (RAN) on over-the-air (OTA) commercial spectrum with Development Operations (DevOps) capabilities. OSS allows software modifications and integrations of the system components, e.g., Evolved Packet Core (EPC) and edge hosts running applications, required for new data pipelines and optimizations not addressed in standardization. Such an OSS infrastructure enables further research and prototyping of novel end-user applications in an environment familiar to software engineers without telecommunications background. We evaluated the presented infrastructure with end-to-end (E2E) OTA testing, resulting in 7.5MB/s throughput and latency of 21ms, which shows that the presented infrastructure provides low latency for edge applications.

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Series: European Conference on Networks and Communications
ISSN: 2475-6490
ISSN-E: 2575-4912
ISSN-L: 2475-6490
ISBN: 978-1-7281-0546-8
ISBN Print: 978-1-7281-0547-5
Pages: 495 - 500
DOI: 10.1109/EuCNC.2019.8801973
OADOI: https://oadoi.org/10.1109/EuCNC.2019.8801973
Host publication: 2019 European Conference on Networks and Communications, EuCNC 2019. 18-21 June 2019, Valencia, Spain
Conference: European Conference on Networks and Communications
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research is financially supported by Academy of Finland 6Genesis Flagship (grant 318927) and by the AI Enhanced Mobile Edge Computing project, funded by the Future Makers program of Jane and Aatos Erkko Foundation and Technology Industries of Finland Centennial Foundation.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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