Big data assisted CRAN enabled 5G SON architecture

Kiran Khurshid, Adnan Ahmed Khan, Haroon Siddiqui, Imran Rashid, M. Usman Hadi

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The recent development of Big Data, Internet of Things (IoT) and 5G network technology offers a plethora of opportunities to the IT industry and mobile network operators. 5G cellular technology promises to offer connectivity to massive numbers of IoT devices while meeting low-latency data transmission requirements. A deficiency of the current 4G networks is that the data from IoT devices and mobile nodes are merely passed on to the cloud and the communication infrastructure does not play a part in data analysis. Instead of only passing data on to the cloud, the system could also contribute to data analysis and decision-making. In this work, a Big Data driven self-optimized 5G network design is proposed using the knowledge of emerging technologies CRAN, NVF and SDN. Also, some technical impediments in 5G network optimization are discussed. A case study is presented to demonstrate the assistance of Big Data in solving the resource allocation problem.

Original languageEnglish
Pages (from-to)93-106
Number of pages14
JournalJournal of ICT Research and Applications
Volume13
Issue number2
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • 5G
  • Big data
  • CRAN
  • NVF
  • SDN
  • Self-optimization

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