A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks

Zhao, Zhongliang; Karimzadeh, Morteza; Braun, Torsten; Pras, Aiko (October 2015). A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. In: IEEE International Conference on Cloud Networking (IEEE CloudNet 2015). Niagara Falls, Canada. 05.10.-07.10.2015. 10.1109/CloudNet.2015.7335285

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Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services
that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.

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:

09 Oct 2015 07:54

Last Modified:

01 May 2020 10:47

Publisher DOI:






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