Big Data Assisted CRAN Enabled 5G SON Architecture

Kiran Khurshid (College of Signals (MCS), National University of Sciences & Technology, Humayun Road, Rawalpindi,)
Adnan Ahmed Khan (College of Signals (MCS), National University of Sciences & Technology, Humayun Road, Rawalpindi)
Haroon Siddiqui (College of Signals (MCS), National University of Sciences & Technology, Humayun Road, Rawalpindi)
Imran Rashid (College of Signals (MCS), National University of Sciences & Technology, Humayun Road, Rawalpindi)
M. Usman Hadi (Department of Electronic and Information Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna,)

Journal of ICT Research and Applications
Vol. 13 No. 2 (2019)

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.