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Abstract

Smart Cities and self-organizing networking techniques for fifth-generation (5G) cellular systems has been one-sided: a Smart City relies on 5G to support massive machine-to-machine (M2M) communications, but the actual net-work is unaware of the information flowing through it. However, a greater synergy between the two would make the relation-ship mutual, since the insights provided by the massive amount of data gathered by sensors can be exploited to improve the communication performance. In this paper, we concentrate on selforganization techniques to improve handover efficiency using vehicular traffic data gathered in London. Our algorithms exploit mobility patterns between cell coverage areas and road traffic congestion levels to optimize the handover bias in heterogeneous networks and dynamically manage mobility management entity (MME) loads to reduce handover completion times.

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How to Cite
C.Hariram. (2018). Using smart city data in 5G network . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(2), 2458–2470. Retrieved from https://ijiarec.com/ijiarec/article/view/833