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.

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