Paper ID: 9076

Big Data Assisted CRAN Enabled 5G SON Architecture

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

Military College of Signals (MCS), National University of Science & Technology, Humayun Road, Rawalpindi, Pakistan.

Rawalpindi, Pakistan.

Army Public College of Management & Sciences (APCOMS), Khadim Hussain Road, Lalkurti, Rawalpindi, Pakistan.

Postal code 44000.

*E-mail: kiran.phd@students.mcs.edu.pk

 

 

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.

Keywords: 5G; big data; CRAN; NVF; SDN; self-optimization.


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