Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Turning the knobs on OpenFlow-based resiliency in mmWave small cell meshed networks
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Datakommunikation)ORCID iD: 0000-0002-4961-5087
Tokyo Institute of Technology.
Tokyo Institute of Technology.
Tokyo Institute of Technology.
Show others and affiliations
2017 (English)In: Globecom Workshops (GC Wkshps), 2017 IEEE: 5G Testbed, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

As a solution to cope with the increase of wireless network traffic for future 5G networks, the IEEE 802.11ad standard enables multi-gigabit connectivity within the 60 GHz spectrum. Since these networks typically have low range, a vast number of small cells is required to form a wireless backhaul that can be easily affected by temporary failures due to blockage/interference. Software-defined Networking (SDN) is a paradigm that allows the centralization of the control plane management, which can be applied to mmWave wireless backhaul networks. Using SDN enables the possibility of having resilience mechanisms in the network, such as Fast-Failover (FF) group tables in the OpenFlow (OF) protocol. In this paper, we analyse resilient forwarding configurations upon temporary link failures. We perform our evaluation on a 4 small cell testbed with multiple IEEE 802.11ad interfaces, showing how OF-based resiliency can be applied, through FF and the Bidirectional-Forwarding Detection (BFD) protocol. Our results show how BFD can be tuned to improve the link state monitoring, and how a local reactive failover mechanism can benefit ongoing traffic in small cell meshed backhaul networks.

Place, publisher, year, edition, pages
IEEE, 2017.
National Category
Telecommunications Software Engineering Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65584DOI: 10.1109/GLOCOMW.2017.8269214ISBN: 978-1-5386-3920-7 (electronic)OAI: oai:DiVA.org:kau-65584DiVA, id: diva2:1176714
Conference
IEEE GLOBECOM 2017, Int. Workshop on 5G Test-Beds and Trials - Learnings from implementing 5G, 4-8 dec. 2017 Singapore.
Projects
SOCRA (4840)Available from: 2018-01-23 Created: 2018-01-23 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

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Santos, RicardoKassler, Andreas

Search in DiVA

By author/editor
Santos, RicardoKassler, Andreas
By organisation
Department of Mathematics and Computer Science (from 2013)Department of Computer ScienceCentre for HumanIT
TelecommunicationsSoftware EngineeringComputer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 77 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf