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Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network
Cloud radio access network (C-RAN) becomes a promising scenario to accommodate high-performance services with ubiquitous user coverage and real-time cloud computing in 5G area. However, the radio network, optical network and processing unit cloud have been decoupled from each other, so that their re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964600/ https://www.ncbi.nlm.nih.gov/pubmed/27465296 http://dx.doi.org/10.1038/srep30678 |
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author | Yang, Hui Zhang, Jie Ji, Yuefeng He, Yongqi Lee, Young |
author_facet | Yang, Hui Zhang, Jie Ji, Yuefeng He, Yongqi Lee, Young |
author_sort | Yang, Hui |
collection | PubMed |
description | Cloud radio access network (C-RAN) becomes a promising scenario to accommodate high-performance services with ubiquitous user coverage and real-time cloud computing in 5G area. However, the radio network, optical network and processing unit cloud have been decoupled from each other, so that their resources are controlled independently. Traditional architecture cannot implement the resource optimization and scheduling for the high-level service guarantee due to the communication obstacle among them with the growing number of mobile internet users. In this paper, we report a study on multi-dimensional resources integration (MDRI) for service provisioning in cloud radio over fiber network (C-RoFN). A resources integrated provisioning (RIP) scheme using an auxiliary graph is introduced based on the proposed architecture. The MDRI can enhance the responsiveness to dynamic end-to-end user demands and globally optimize radio frequency, optical network and processing resources effectively to maximize radio coverage. The feasibility of the proposed architecture is experimentally verified on OpenFlow-based enhanced SDN testbed. The performance of RIP scheme under heavy traffic load scenario is also quantitatively evaluated to demonstrate the efficiency of the proposal based on MDRI architecture in terms of resource utilization, path blocking probability, network cost and path provisioning latency, compared with other provisioning schemes. |
format | Online Article Text |
id | pubmed-4964600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49646002016-08-08 Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network Yang, Hui Zhang, Jie Ji, Yuefeng He, Yongqi Lee, Young Sci Rep Article Cloud radio access network (C-RAN) becomes a promising scenario to accommodate high-performance services with ubiquitous user coverage and real-time cloud computing in 5G area. However, the radio network, optical network and processing unit cloud have been decoupled from each other, so that their resources are controlled independently. Traditional architecture cannot implement the resource optimization and scheduling for the high-level service guarantee due to the communication obstacle among them with the growing number of mobile internet users. In this paper, we report a study on multi-dimensional resources integration (MDRI) for service provisioning in cloud radio over fiber network (C-RoFN). A resources integrated provisioning (RIP) scheme using an auxiliary graph is introduced based on the proposed architecture. The MDRI can enhance the responsiveness to dynamic end-to-end user demands and globally optimize radio frequency, optical network and processing resources effectively to maximize radio coverage. The feasibility of the proposed architecture is experimentally verified on OpenFlow-based enhanced SDN testbed. The performance of RIP scheme under heavy traffic load scenario is also quantitatively evaluated to demonstrate the efficiency of the proposal based on MDRI architecture in terms of resource utilization, path blocking probability, network cost and path provisioning latency, compared with other provisioning schemes. Nature Publishing Group 2016-07-28 /pmc/articles/PMC4964600/ /pubmed/27465296 http://dx.doi.org/10.1038/srep30678 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Yang, Hui Zhang, Jie Ji, Yuefeng He, Yongqi Lee, Young Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title | Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title_full | Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title_fullStr | Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title_full_unstemmed | Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title_short | Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
title_sort | experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964600/ https://www.ncbi.nlm.nih.gov/pubmed/27465296 http://dx.doi.org/10.1038/srep30678 |
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