Mobile Big Data Based Network Intelligence

Xiang Cheng, Luoyang Fang, Liuqing Yang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The mobile network is at a critical tipping point. On the one hand, it is heavily stressed by the explosive increase of traffic, and the steep transition from a smartphone-dominated market to one that is dazzling diverse, all subject to the same electromagnetic theory-ruled physical world. On the other hand, it is hopefully excited by the rapid development of data science, more powerful and versatile computing, and increasingly affordable hardware. It seems that we have come to the point at which in order to make the ends meet, one would need to put all the pieces together. In this paper, we aspire to establish a holistic framework for mobile big data (MBD) based network intelligence. Combining the top-down and bottom-up approaches, we put in context the recent development in the mobile network architecture, resource-based management theory, MBD orchestration, and data analytics, and establish a hierarchical network intelligence architecture fueled by MBD analytics. This architecture nurtures holistic understanding on how the multidimensional, multilateral, and multigranular MBD, together with its processing, can be plugged into the network architecture.

Original languageEnglish (US)
Article number8428408
Pages (from-to)4365-4379
Number of pages15
JournalIEEE Internet of Things Journal
Issue number6
StatePublished - Dec 2018
Externally publishedYes


  • Big data applications
  • Data analysis
  • Data collection
  • Machine learning
  • Mobile communication

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