A SDN controller architecture for Small Cell Wireless Backhaul using a LTE Control Channel

Santos, Reginaldo Bezerra dos; Kassler, Andreas

doi:10.1109/wowmom.2016.7523544

Cited by 21 publications

(14 citation statements)

References 7 publications

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“…[4], [11] 1-Role of hypervisors [4], [8], [149], [150] [8], [64] 2-Virtualization layer above infrastructure [4], [124], [151] [124], [139] 3-Virtualization services as control plane modules [11] 1-Resource sharing [39], [104], [ [130], [154], [155] 1-Traffic offloading [130] [156] 2-End2end routing [154] 3-SDN-based backhaul [155] 4-On-demand small cells [156] or simulation experiments are missing from this study to ascertain that the design is complete and adequate for 5G capacity and speeds. The controller domain idea makes the SDN control plane scalable but important details about controller placement and optimization are also not available in this paper.…”

Section: -Integration In Sdnmentioning

confidence: 99%

Will SDN Be Part of 5G?

Zaidi¹,

Friderikos

Yousaf³

et al. 2018

IEEE Commun. Surv. Tutorials

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For many, this is no longer a valid question and the case is considered settled with SDN/NFV (Software Defined Networking/Network Function Virtualization) providing the inevitable innovation enablers towards the realization of a virtualized, flexible, programmable and flexible 5G network. As SDN along with other technology enablers (including NFV) are still in the process of evolution, the first commercial deployment of 5G may take few years. However, some companies are claiming the availability of 5G solutions, but considering the monumental task of softwarization of mobile cellular networks there are genuine concerns that we may only see some point solutions involving SDN technology instead of a fully virtualized SDN-enabled 5G mobile network. In order to determine the technology readiness of SDN solutions in the context of 5G networks, this survey paper attempts to identify all important obstacles in the way, and looks at the state of the art of the relevant research. This survey is different from the previous surveys on SDN-based mobile networks as it focuses on the salient problems and discusses solutions proposed within and outside SDN literature. Our main focus is on fronthaul, backward compatibility, supposedly disruptive nature of SDN deployment, business cases and monetization of SDN related upgrades, latency of general purpose processors (GPP), and additional security vulnerabilities that softwarization brings along to the mobile network. We have also provided a summary of the architectural developments in SDN-based mobile network landscape, including deployment options for SDN within NFV framework, as not all work can be covered under the focused issues. This paper provides a comprehensive survey on the state of the art of SDNbased mobile networks and clearly points out the gaps in the technology.

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Section: -Integration In Sdnmentioning

confidence: 99%

Will SDN Be Part of 5G?

Zaidi¹,

Friderikos

Yousaf³

et al. 2018

IEEE Commun. Surv. Tutorials

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“…We assume that the SC mesh BH network is based on a SDN architecture, having the SDN controller responsible for the management of the mesh nodes' control plane, configuring their forwarding rules and respective mmWave links. We consider the usage of a SDN out-of-band control channel [17], with negligible latency between the controller and the mesh nodes. The SDN controller provides an application programming interface (API) that allows the specification of how the network should be configured, according to the model's output.…”

Section: B Sdn-based Mmwave Mesh Backhaulmentioning

confidence: 99%

Optimal Steerable mmWave Mesh Backhaul Reconfiguration

Santos

Ghazzai

Kassler

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Future 5G mobile networks will require increased backhaul (BH) capacity to connect a massive amount of high capacity small cells (SCs) to the network. Because having an optical connection to each SC might be infeasible, mmWavebased (e.g. 60 GHz) BH links are an interesting alternative due to their large available bandwidth. To cope with the increased path loss, mmWave links require directional antennas that should be able to direct their beams to different neighbors, to dynamically change the BH topology, in case new nodes are powered on/off or the traffic demand has changed. Such BH adaptation needs to be orchestrated to minimize the impact on existing traffic. This paper develops a Software-defined networking-based framework that guides the optimal reconfiguration of mesh BH networks composed by mmWave links, where antennas need to be mechanically aligned. By modelling the problem as a Mixed Integer Linear Program (MILP), its solution returns the optimal ordering of events necessary to transition between two BH network configurations. The model creates backup paths whenever it is possible, while minimizing the packet loss of ongoing flows. A numerical evaluation with different topologies and traffic demands shows that increasing the number of BH interfaces per SC from 2 to 4 can decrease the total loss by more than 50%. Moreover, when increasing the total reconfiguration time, additional backup paths can be created, consequently reducing the reconfiguration impact on existing traffic.

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“…Furthermore, the OPEX can also be reduced by introducing dynamic ON/OFF and flexible path creation in the backhaul network in accordance with the time variant and spatially non-uniform traffic distributions [55]. Such flexible control of the backhaul network is enabled by SDN technology using out-band control interface over the LTE [56], [57]. In summary, mmWave mesh backhaul with SDN comes into place as one suitable candidate for dense urban scenarios owing to its ultra-wide bandwidth and deployment flexibility with low cost.…”

Section: Scenario/use Cases and Requirementsmentioning

confidence: 99%

Where, When, and How mmWave is Used in 5G and Beyond

Sakaguchi

Haustein

Barbarossa

et al. 2017

IEICE Trans. Electron.

172

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SUMMARYWireless engineers and business planners commonly raise the question on where, when, and how millimeter-wave (mmWave) will be used in 5G and beyond. Since the next generation network is not just a new radio access standard, but also an integration of networks for vertical markets with diverse applications, answers to the question depend on scenarios and use cases to be deployed. This paper gives four 5G mmWave deployment examples and describes in chronological order the scenarios and use cases of their probable deployment, including expected system architectures and hardware prototypes. The first example is a 28 GHz outdoor backhauling for fixed wireless access and moving hotspots, which will be demonstrated at the PyeongChang Winter Olympic Games in 2018. The second deployment example is a 60 GHz unlicensed indoor access system at the Tokyo-Narita airport, which is combined with Mobile Edge Computing (MEC) to enable ultra-high speed content download with low latency. The third example is mmWave mesh network to be used as a micro Radio Access Network (µ-RAN), for cost-effective backhauling of small-cell Base Stations (BSs) in dense urban scenarios. The last example is mmWave based Vehicular-to-Vehicular (V2V) and Vehicular-to-Everything (V2X) communications system, which enables automated driving by exchanging High Definition (HD) dynamic map information between cars and Roadside Units (RSUs). For 5G and beyond, mmWave and MEC will play important roles for a diverse set of applications that require both ultra-high data rate and low latency communications. key words: millimeter wave, MEC, 28GHz, 60GHz, mesh network, V2V/V2X, automated driving, future forecast

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A SDN controller architecture for Small Cell Wireless Backhaul using a LTE Control Channel

Cited by 21 publications

References 7 publications

Will SDN Be Part of 5G?

Will SDN Be Part of 5G?

Optimal Steerable mmWave Mesh Backhaul Reconfiguration

Where, When, and How mmWave is Used in 5G and Beyond

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