First Experimental Demonstration of Orchestration of Optical Transport, RAN and Cloud based on SDN

Rostami, A.; Wang, Kun; Ghebretensae, Zere; Öhlen, P.; Skubic, Björn

doi:10.1364/ofc.2015.th5a.7

Cited by 21 publications

(16 citation statements)

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“…Thanks to this orchestration, it is possible to design provisioning strategies that enable a much more efficient use of the transport network infrastructure. Software-defined networking (SDN) is a control architecture that has the potential to enable the joint orchestration of radio and transport domains [7]. In a hierarchical SDN control plane, the radio and the transport network can be managed by two separate controllers, while a global orchestrator jointly allocates the radio and transport resources.…”

Section: Introductionmentioning

confidence: 99%

“…A first demonstration of this concept has been recently presented in Ref. [7], where a hierarchical SDN control plane was deployed to improve the efficiency of using transport resources. The authors assume a C-RAN based on an optical dense wavelength division multiplexing (DWDM) transport network.…”

Section: Introductionmentioning

confidence: 99%

“…However, the work in Ref. [7] considers an experimental setup with only four RBSs to show the feasibility of the concept. This paper extends the previous work with two contributions.…”

Section: Introductionmentioning

confidence: 99%

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Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

Raza

Fiorani

Rostami

et al. 2016

J. Opt. Commun. Netw.

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This is the published version of a paper published in .Citation for the original published paper (version of record):Raza, M R., Fiorani, M., Monti, P., Wosinska, L. Abstract-The next generation of mobile communication (i.e., 5G) will bring new challenges for the transport infrastructure, e.g., in terms of flexibility and capacity. The joint orchestration of radio and transport resources can help to address some of these challenges. One example is the possibility of reconfiguring the use of the transport network resources according to the spatial and temporal variations of the wireless traffic patterns. Using the concept of dynamic resource sharing, a limited pool of transport resources can be shared among a large number of radio base stations (RBSs), thus reducing considerably the overall deployment cost of the transport infrastructure. This paper proposes a provisioning strategy for a centralized radio access network with an optical transport whose wavelength resources can be dynamically shared among multiple RBSs. The proposed strategy utilizes a hierarchical software-defined networking control plane where a global orchestrator optimizes the usage of radio and transport resources. The benefits of the proposed strategy are assessed both by simulation and by experiment via an optical data plane emulator developed for this purpose. It is shown that the dynamic resource sharing can save up to 31.4% of transport resources compared to a conventional dimensioning approach, i.e., based on the overprovisioning of wavelength resources.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

Raza

Fiorani

Rostami

et al. 2016

J. Opt. Commun. Netw.

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“…Another example is the dynamic delivery of mobile access services, which involves the joint allocation of radio (e.g., baseband processing), transport (e.g., backhaul), and cloud (e.g., evolved packet core) resources [4], [5], [6].…”

mentioning

confidence: 99%

“…An efficient orchestration of radio, transport, and cloud resources can be obtained using a hierarchical software defined networking (SDN) control plane [6], [7] where different logically centralized domain controllers are responsible for managing different types of resources (see Fig. 1).…”

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Abstraction Models for Optical 5G Transport Networks

Fiorani

Rostami

Wosinska

et al. 2016

J. Opt. Commun. Netw.

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The orchestration of radio, transport, and cloud resources is a key enabler for efficient service delivery in 5G networks. Orchestration can be achieved with a hierarchical software-defined networking (SDN) control architecture in which a global orchestrator operates above the domain controllers. In such an architecture, the abstraction of resources between the controllers and the orchestrator plays a fundamental role for the system performance. In order to reduce the orchestrator complexity, the controllers should hide as much detail as possible from the orchestrator. On the other hand, the more details are available to the orchestrator the more optimal resource orchestration strategy can be obtained. In order to assess this trade-off, we recently proposed two transport abstraction models, namely big switch (BiS) and virtual link (VL), for centralized radio access networks (C-RANs) with orchestration of radio and transport resources. We observed that VL can provide a more efficient resource orchestration than BiS at the expense of an increased implementation complexity. The contribution of this paper is twofold. We extend the BiS and VL models to make them applicable to any orchestration scenario. Then, we propose a new transport abstraction model, referred to as optical transport transformation (OTT), that aims at achieving efficient resource orchestration with a reduced implementation complexity. We compare the performance of these new abstraction models in a C-RAN use case in which backhaul and fronthaul traffic are carried over a dense wavelength division multiplexing (DWDM) network. Our results prove that in a C-RAN the best choice for the transport abstraction model depends on the availability and the reachability of the radio resources. If radio resources are scarce compared to transport resources, complex transport abstraction models are not needed and a BiS abstraction is the best choice. On the other hand, if radio resources are widely available and reachable, an OTT model guarantees the best overall performance.

QC 20160829

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CRAN, H‐CRAN, and F‐RAN for 5G systems: Key capabilities and recent advances

Guizani

Hamdi

2017

Int J Network Mgmt

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Summary The world of telecommunication is witnessing a swift metamorphosis towards fifth generation cellular networks. Particularly, the rapid shift from a user centric to a device centric communication has created a tremendous impact on service complexity and network requirements. The future networks present requisite needs in ubiquitous throughput, low latency, and high reliability. They are also envisioned to provide energy efficiency, spectrum reuse, network scalability, and robustness as well as improved quality of user experience, which proves to be of ultimate importance. Accordingly, government, academic, and industrial institutions are working together to fulfill these challenging goals. Their research efforts have been extensively reported in various topics and directions, such as heterogeneous small cell networks, millimeter wave communication, massive multiple input multiple output, network function virtualization, software‐defined network, and device‐to‐device communication. More interestingly, a revolutionary network architecture based on cloud computing and centralized processing is adopted as one of the best candidates for fifth generation. It is denoted Cloud Radio Access Network (CRAN) and (H‐CRAN) in heterogeneous networks. An upgraded version, namely, Fog RAN (F‐RAN), with caching and fog computing capabilities is also presented. Environmental friendly, it ensures flexibility and scalability with reduced expenditures. This paper presents the aforementioned key technological functionalities and surveys the benefits and challenges of CRAN, H‐CRAN, and F‐RAN.

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First Experimental Demonstration of Orchestration of Optical Transport, RAN and Cloud based on SDN

Cited by 21 publications

References 2 publications

Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

Abstraction Models for Optical 5G Transport Networks

CRAN, H‐CRAN, and F‐RAN for 5G systems: Key capabilities and recent advances

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