Karagiannis, G.; Jamakovic, Almerima; Briggs, K.; Karimzadeh, M.; Parada, C.; Corici, M.I.; Taleb, T.; Edmonds, A.; Bohnert, T.M. (June 2014). Mobility and bandwidth prediction in virtualized LTE systems: Architecture and challenges. In: European Conference on Networks and Communications (EuCNC), 2014 (pp. 1-5). IEEE 10.1109/EuCNC.2014.6882662
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Long Term Evolution (LTE) represents the fourth generation (4G) technology which is capable of providing high data rates as well as support of high speed mobility. The EU FP7 Mobile Cloud Networking (MCN) project integrates the use of cloud computing concepts in LTE mobile networks in order to increase LTE's performance. In this way a shared distributed virtualized LTE mobile network is built that can optimize the utilization of virtualized computing, storage and network resources and minimize communication delays. Two important features that can be used in such a virtualized system to improve its performance are the user mobility and bandwidth prediction. This paper introduces the architecture and challenges that are associated with user mobility and bandwidth prediction approaches in virtualized LTE systems.
|Item Type:||Conference or Workshop Item (Paper)|
|Division/Institute:||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:||Jamakovic, Almerima|
|Subjects:||000 Computer science, knowledge & systems
500 Science > 510 Mathematics
|Submitter:||Jonnahtan Eduardo Saltarin de Arco|
|Date Deposited:||24 Oct 2014 14:15|
|Last Modified:||08 Jan 2015 11:52|
|Uncontrolled Keywords:||4G mobile communication, Long Term Evolution, cloud computing, mobile computing;mobility management (mobile radio), virtualisation, 4G technology, EU FP7 mobile cloud networking project, LTE mobile networks, Long Term Evolution, MCN, bandwidth prediction approach, cloud computing concepts, communication delay minimization, fourth generation technology, high data rates, high speed mobility, mobility prediction approach, network resources, shared distributed virtualized LTE mobile network, user mobility, virtualized LTE systems, virtualized computing, virtualized storage, Availability, Bandwidth, Long Term Evolution, Mobile communication, Mobile computing, Monitoring, Prediction algorithms, LTE, bandwdith prediction, cloud computing, user mobility prediction|