Integrating WMN based mobile backhaul with SDN control

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Resilient high capacity and low delay millimeter wave wireless mesh networks (WMNs) can provide suitable backhaul connections for future broadband mobile networks. The WMN solution is best suited in cases where base stations are installed in locations without optical fiber connection to transport network, e.g., small-cell deployment to hot spots in dense urban areas. Recently software defined network (SDN) concept has become popular in many networking areas including mobile networks. One of the key promises is to provide an efficient way for network operators to extend and create new services. As the whole network is controlled by a single central entity that is based on software code, it would be easy to make large scale network upgrades without need to wait that updates are available for all network elements (NEs). There is, however, a clear conflict between SDN ideas and WMN operation. The performance and reliability of the latter one is heavily depended on fast local reactions to, e.g., link degradations. Centralized control would introduce longer delays in reactions. In this paper, we are proposing a concept which solves these problems and allows for combining the best features of both WMN and SDN.
Original languageEnglish
Title of host publicationInternet of Things, IoT Infrastructures
Subtitle of host publicationIoT360 2014
PublisherSpringer
Pages222-233
ISBN (Electronic)978-3-319-19743-2
ISBN (Print)978-3-319-19742-5
DOIs
Publication statusPublished - 26 Jun 2015
MoE publication typeA4 Article in a conference publication
EventFirst International Summit, IoT360 2014 - Rome, Italy
Duration: 27 Oct 201428 Oct 2014
Conference number: 1

Publication series

SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume151
ISSN1867-8211

Other

OtherFirst International Summit, IoT360 2014
Abbreviated titleIoT360
CountryItaly
CityRome
Period27/10/1428/10/14

Fingerprint

Wireless mesh networks (WMN)
Wireless networks
Millimeter waves
Base stations
Optical fibers
Degradation

Keywords

  • Wireless mesh
  • SDN
  • Mobile backhaul
  • Network abstraction
  • Network virtualization

Cite this

Seppänen, K., Kilpi, J., & Suihko, T. (2015). Integrating WMN based mobile backhaul with SDN control. In Internet of Things, IoT Infrastructures: IoT360 2014 (pp. 222-233). Springer. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol.. 151 https://doi.org/10.1007/978-3-319-19743-2_32
Seppänen, Kari ; Kilpi, Jorma ; Suihko, Tapio. / Integrating WMN based mobile backhaul with SDN control. Internet of Things, IoT Infrastructures: IoT360 2014. Springer, 2015. pp. 222-233 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 151).
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Seppänen, K, Kilpi, J & Suihko, T 2015, Integrating WMN based mobile backhaul with SDN control. in Internet of Things, IoT Infrastructures: IoT360 2014. Springer, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 151, pp. 222-233, First International Summit, IoT360 2014, Rome, Italy, 27/10/14. https://doi.org/10.1007/978-3-319-19743-2_32

Integrating WMN based mobile backhaul with SDN control. / Seppänen, Kari; Kilpi, Jorma; Suihko, Tapio.

Internet of Things, IoT Infrastructures: IoT360 2014. Springer, 2015. p. 222-233 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 151).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Seppänen K, Kilpi J, Suihko T. Integrating WMN based mobile backhaul with SDN control. In Internet of Things, IoT Infrastructures: IoT360 2014. Springer. 2015. p. 222-233. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 151). https://doi.org/10.1007/978-3-319-19743-2_32