Big Data Assisted CRAN Enabled 5G SON Architecture

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


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.


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

Full Text:



Holler, J., Tsiatsis, V., Mulligan, C., Karnouskos, S., Avesand, S. & Boyle, D., From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence, Elsevier, 2014.

Musolesi, M., Big Mobile Data Mining: Good or Evil? IEEE Internet Computing, 18(1), pp. 78-81, 2014.

Aiiu, C., A Survey of Self Organization in Future Cellular Networks, IEEE Commun. Surveys & Tutorials, 15(1), pp. 336-61, 1st qtr. 2013.

Ignatova, L., Khakimov, A., Mahmood, A. & Muthanna, A., Analysis of the Internet of Things Devices Integration in 5G networks, Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO), July 2017.

The ITU – International Telecommunications Union, ITU towards IMT for 2020 and Beyond – IMT-2020 Standards for 5G, Available: /default.aspx.(October 2018)

Gao, Y., Ao, H., Zhou, Q., Zhou, W., Li, Y., Cheng, S. & Li, X., Review of Wireless Big Data in 5G: From Physical Layer to Application Layer, 2nd IEEE International Conference on Computer and Communications (ICCC), 2016. DOI:10.1109/compcomm.2016.7924657.

Imran, A., Zoha, A. & Abu-Dayya, A., Challenges in 5G: How to Empower SON with Big Data for Enabling 5G, IEEE Network, 28(6), pp. 27-33, Nov. 2014.

Qadeer, W., Rosing, T., Ankcorn, J., Krishnan, V. & Micheli, G., Heterogeneous Wireless Network Management, Third international Conference on Power – Aware Computer Systems’, San Diego, CA, December 01, 2003.

Baldemiar, R., Evolving Wireless Communications: Addressing the Challenges and Expectations of the future, IEEE Veh. Technol. Mag., 8(1), pp. 24-30, 2013.

5G Berlin, Berlin, Germany. Available Online: (Accessed August, 2019).

5G Lab Germany, Dresden, Germany. Available Online: (Accessed August, 2019).

Fettweis, G., The Tactile Internet: Applications and Challenges, IEEE Vehicular Tech., 9(1), pp. 64-70, March 2014.

5G Innovation Centre, Surrey, UK. Available Online: (Accessed August, 2019).

Telecommunication Management: Study on Network Management of Virtualized Networks (V13.1.0), 3GPP Tech. Rep. TR 32.842, Dec. 2015. [Online]. Available: (Accessed August, 2019).

Vukobratovic, D., Jakovetic, D., Bajovic, V., Seddinovic, D., Kurt, G., Hollanti, C. & Fischer, I., CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT, IEEE Access: Special Section on IoT in 5G Communications, 4, pp. 3360-3377, July 2016.

Wang, R., Hu, H. & Yang, Potentials and Challenges of C-RAN Supporting Multi-RATs Toward 5G Mobile Networks, IEEE Access: Recent Advances in Cloud Radio Access Networks, 2, pp. 1187-1195, 2014.

Kiran, P., Jibukumar, M. & Premkumar C., Resource Allocation Optimization in LTE-A/5G Networks Using Big Data Analytics, International Conference on Information Networking (ICOIN), March 2016.

Ramkumar, M., Nielson, R., Stefan, A. & Prasad, N., A Joint Allocation, Assignment and Admission Control (AAA) Framework for Next Generation Networks, Wireless Personal Communications, 73(3), pp. 1245-1267, 2013.

Loong, L.Y. & Loo. J., Fair Resource Allocation with Interference Mitigation and Resource Reuse for LTE/LTE-A Femtocell Networks, IEEE Transactions on Vehicular Technology, 65(10), pp. 8203-8217, 2016.

Aliu, O.G., A Survey of Self-Organisation in Future Cellular Networks. IEEE Communications Surveys & Tutorials, 15(1), pp. 336-361, 2013.

Aldaly, H., Sulleiman, O., Muddathir, A., Ibrahim, A. & Nagar, S., A Mathematical Approach for Load Balancing in 4G LTE Networks through Wi-Fi APS and Smart Algorithm, Fifth Intl. Conf. Advances in Computing, Communication and Information Technology- CCIT, 2017.

Huang, J., Yin, Y., Zhao, Y., Duan, Q., Wang, W. & Yu, S., A Game-Theoretic Resource Allocation Approach for Intercell Device-to-Device Communications in Cellular Networks, Emerging Topics in Computing, IEEE Transactions, 99, pp. 1-1, 2014.

Hu, H., Zhang, J., Zheng, X. & Wu, Y., Self-Configuration and Self-Optimization for LTE Networks, IEEE Communications Magazine, February 2010.

Mishra, S. & Mathur, N., Load Balancing Optimization in LTE/LTE-A Cellular Networks: a review, arXiv preprint arXiv:1412.7273 (2014), 2014.

Omar, S.M.; Anjum, M; Hassan, S., Pervaiz, H. & Niv, Q., Performance Analysis of Hybrid 5G Cellular Networks Exploiting mmWave Capabilities in Suburban Areas, IEEE ICC, pp. 1-6, May 2016.

Elshaer, H., Kulkarni, M., Boccardi, F., Andrews, J. & Dohler, M., Downlink and Uplink Cell Association with Traditional Macrocells and Millimeter Wave Small Cells, IEEE Trans. Wireless Commun., 15(9), pp. 6244-6258, 2016.



  • There are currently no refbacks.

Contact Information:

ITB Journal Publisher, LPPM – ITB, 

Center for Research and Community Services (CRCS) Building Floor 7th, 
Jl. Ganesha No. 10 Bandung 40132, Indonesia,

Tel. +62-22-86010080,

Fax.: +62-22-86010051;