Big data and data analytics in 5G mobile networks

In this paper, we study the features of big data and analytics. We see how Big Data contributes to mobile networks. give a term in which generally refers large amount digital data. Also, estimate that processed by "Big Data" systems will double every two years. Hence, on networks need be analyzed in-depth according retrieve exciting useful information. provides unprecedented opportunities for internet service providers understand behavior requirements their users, turn enables real-time decision making across wide range applications. After that, mention dimensions often describe 4Vs Data. continue with about use analytics As see, new technologies managing highly scalable, cost-effective, damage-resistant manner are required. So, beyond 2020 system capacity rates must support thousands times more traffic than 2010 levels. Furthermore, end-to-end latency, massive number connections, cost, Quality Experience, Issues, finally, management. 5G. The 5G standardizing optimization crucial areas. There research areas were exploring techniques discover patterns extract knowledge from collected. can provide organizations ability profile segment customers based distinct socioeconomic characteristics increase customer satisfaction retention telecom before informed decisions. as these help Telecommunication monitor analyze various types well event messages Important information, like business intelligence, extracted momentary stored mass adoption smartphones, broadband modems, tablets, applications has been overwhelmingly wireless. Operators bend under pressure cost continuously adding improving coverage while maximizing existing components range. Advanced radio access technologies, all Internet Protocols, open network architectures evolve smoothly 4G systems. So those needs leading us make heterogeneous or else HetNet continuing challenges, curse modularity, procedure, feature engineering, non-linearity, Bonferonni's principle, category report, variance bias, locality, heterogeneity, noisy data, availability, processing, streaming, provenance, security.