Integrating WMN based mobile backhaul with SDN control

    Research output: Contribution to journalArticleScientificpeer-review

    14 Citations (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
    Pages (from-to)32-39
    JournalMobile Networks and Applications
    Volume20
    Issue number1
    DOIs
    Publication statusPublished - Feb 2015
    MoE publication typeA1 Journal article-refereed
    EventInternational Conference on Software-Defined and Virtualized Future Wireless Networks, SDWN 2014 - Rome, Italy
    Duration: 27 Oct 201427 Oct 2014

    Keywords

    • wireless mesh
    • SDN
    • mobile backhaul
    • network abstraction
    • network virtualization

    Fingerprint

    Dive into the research topics of 'Integrating WMN based mobile backhaul with SDN control'. Together they form a unique fingerprint.

    Cite this