Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems

Karimzadeh, Morteza; Zhao, Zhongliang; Hendriks, Luuk; de O. Schmidt, Ricardo; la Fleur, Sebastiaan; van den Berg, Hans; Pras, Aiko; Braun, Torsten; Corici, Marius (October 2015). Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. In: IEEE International Conference on Cloud Networking (IEEE CloudNet 2015). Niagara Falls, Canada. 05.10.-07.10.2015. 10.1109/CloudNet.2015.7335295

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Recently telecommunication industry benefits from infrastructure sharing, one of the most fundamental enablers of cloud computing, leading to emergence of the Mobile Virtual Network Operator (MVNO) concept. The most momentous intents by this approach are the support of on-demand provisioning and elasticity of virtualized mobile network components, based on data traffic load. To realize it, during operation and management
procedures, the virtualized services need be triggered in order to scale-up/down or scale-out/in an instance. In this paper we propose an architecture called MOBaaS (Mobility and Bandwidth Availability Prediction as a Service), comprising two algorithms in order to predict user(s) mobility and network link bandwidth availability, that can be implemented in cloud based mobile network structure and can be used as a support service by any other virtualized mobile network services. MOBaaS can provide prediction information in order to generate required triggers for on-demand deploying, provisioning, disposing of virtualized network components. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operation, as well. Through the preliminary experiments with the prototype implementation on the OpenStack platform, we evaluated and confirmed the feasibility and the effectiveness of the prediction algorithms and the
proposed architecture.

Item Type:

Conference or Workshop Item (Paper)


08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Zhao, Zhongliang and Braun, Torsten


000 Computer science, knowledge & systems
500 Science > 510 Mathematics




Dimitrios Xenakis

Date Deposited:

08 Oct 2015 16:41

Last Modified:

01 May 2020 10:47

Publisher DOI:





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