SELFNET Framework self-healing capabilities for 5G mobile networks

José Pedro Santos, Rui Alheiro, Luís Andrade, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Marco Antonio Sotelo Monge, Luis Javier García Villalba, Wei Jiang, Hans Schotten, Jose M. Alcaraz Calero, Qi Wang, Maria João Barros

    Research output: Contribution to journalArticlepeer-review

    20 Citations (Scopus)
    298 Downloads (Pure)

    Abstract

    Nowadays, mobile networks are complex sets of heterogeneous equipments that use proprietary management applications, resulting in a huge expenditure, a large effort and a time-consuming process to manage all network elements by means of currently manual or semi-automatical approaches. With the emergency of new technologies, such software-defined networking, network function virtualization, and cloud computing, the current configurable networks are capable of becoming programmable, which will facilitate advanced autonomous network management. This article presents capabilities of a novel framework proposed by the SELFNET project that enables highly autonomic management functionalities. It focuses on the proposed self-healing use case that can be applied to reactively or preventively deal with the detected or predicted network failures. The SELFNET can provide the upcoming 5G system: an autonomic management framework, which brings a remarkable reduction upon operational expenditure and a substantial improvement of quality-of-experience (QoE) in terms of reliability, availability, service continuity and security.
    Original languageEnglish
    Pages (from-to)1225-1232
    Number of pages8
    JournalTransactions on Emerging Telecommunications Technologies
    Volume27
    Issue number9
    Early online date21 Jun 2016
    DOIs
    Publication statusE-pub ahead of print - 21 Jun 2016

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