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Small Cell Wireless Backhaul Reconfiguration Using Software-Defined Networking
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Computer Networking, DISCO)ORCID iD: 0000-0002-4961-5087
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Computer Networking, DISCO)ORCID iD: 0000-0002-9446-8143
2017 (English)In: Wireless Communications and Networking Conference (WCNC), 2017 IEEE, Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper, Published paper (Refereed)
Abstract [en]

In order to increase the capacity of next generation mobile networks, network densification is a key aspect to provide better coverage and increased data rates to end users. Network operators are thinking to deploy wireless backhaul solutions to cut down cabling costs for connecting the small cell nodes. Consequently, the next generation mobile network architecture may contain a massive amount of small cells that are connected through wireless backhaul links, forming mesh or tree structures towards the core network, under the umbrella coverage of eNodeB type macro cells. In this paper, we use a Software-Defined Networking (SDN) based architecture for the operation and management of such small cell backhaul networks. By extending OpenFlow, the SDN controller is able to reconfigure not only the routing, but also the wireless backhaul configuration, such as channel assignment to backhaul links. We demonstrate the effectiveness of our approach by using testbed measurements and show that, when using our SDN-based reconfiguration, the network downtime for existing traffic due to channel re-assignment is significantly reduced, when comparing to a distributed routing based approach. Moreover, by using SDN based fast-failover techniques, we can instantaneously redirect traffic to other neighbors when links fail or neighbors are powered down, without the need for controller interaction.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
Series
IEEE conference proceedings, E-ISSN 1558-2612
Keywords [en]
SDN, wireless backhaul, small cell networks, 5G
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-64532DOI: 10.1109/WCNC.2017.7925943ISI: 000403137600460ISBN: 978-1-5090-4184-8 (print)ISBN: 978-1-5090-4183-1 (electronic)OAI: oai:DiVA.org:kau-64532DiVA, id: diva2:1149148
Conference
Wireless Communications and Networking Conference (WCNC), 2017 IEEE, 19-22 March 2017, San Francisco, CA, USA
Projects
SOCRA
Funder
Knowledge Foundation, 4840Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2018-10-02Bibliographically approved
In thesis
1. 5G Backhauling with Software-defined Wireless Mesh Networks
Open this publication in new window or tab >>5G Backhauling with Software-defined Wireless Mesh Networks
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Current technological advances have caused an exponential growth of the number of mobile Internet-connected devices, along with their respective traffic demands. To cope with this increase of traffic demands, fifth generation (5G) network architectures will need to provide multi-gigabit capacity at the access base stations (BSs), through the deployment of ultra-dense small cells (SCs) operating with millimeter-wave (mmWave) frequencies, e.g. 60 GHz. To connect the BSs to the core network, a robust and high capacity backhaul infrastructure is required. As it is unfeasible to connect all the SCs through optical fiber links, a solution for the future 5G backhaul relies on the usage of mmWave frequencies to interconnect the SCs, forming multi-hop wireless mesh topologies. In this thesis, we explore the application of the Software-defined Networking (SDN) paradigm for the management of a SC wireless backhaul. With SDN, the data and control planes are separated and the network management is done by a centralized controller entity that has a global network view. To that end, we provide multiple contributions. Firstly, we provide an SDN-based architecture to manage SC backhaul networks, which include an out-of-band Long Term Evolution (LTE) control channel and where we consider aspects such as energy efficiency, resiliency and flexible backhaul operation. Secondly, we demonstrate the benefit of the wireless backhaul configuration using the SDN controller, which can be used to improve the wireless resource allocation and provide resiliency mechanisms in the network. Finally, we investigate how a SC mesh backhaul can be optimally reconfigured between different topologies, focusing on minimizing the network disruption during the reconfiguration.

Abstract [en]

The growth of mobile devices, along with their traffic demands, is expected to saturate the current mobile networks soon. To cope with such demand increase, fifth generation (5G) network architectures will need to provide multi-gigabit capacity at the access level, through the deployment of a massive amount of ultra-dense small cells (SCs). To connect the access and core networks, a robust and high capacity backhaul is required. To that end, mmWave links that operate at e.g. 60 GHz, can be used to interconnect the SCs, forming multi-hop wireless mesh topologies.

 

In this thesis, we study the application of the Software-defined Networking (SDN) paradigm for the management of a SC wireless backhaul. Firstly, we provide an SDN-based architecture to manage SC backhaul networks, which includes an out-of-band control channel and where we consider aspects such as energy efficiency, resiliency and flexible backhaul operation. Secondly, we show the benefits of the wireless backhaul configuration using the SDN controller, which can be used to improve the wireless resource allocation and provide network resiliency. Finally, we investigate how a SC mesh backhaul can be optimally reconfigured between different topologies, while minimizing the network disruption during the reconfiguration.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2018. p. 95
Series
Karlstad University Studies, ISSN 1403-8099 ; 2018:44
Keywords
SDN, wireless backhaul, heterogeneous networks, mmWave, 5G, resiliency
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-69437 (URN)978-91-7063-881-7 (ISBN)978-91-7063-976-0 (ISBN)
Presentation
2018-10-22, 09:15 (English)
Opponent
Supervisors
Available from: 2018-10-26 Created: 2018-10-02 Last updated: 2018-10-26Bibliographically approved

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Santos, Ricardo

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