Muhammad Zeeshan Asghar


Title Artificial Intelligence (AI) assisted Self Organizing Networks for 5G

Faults can appear at several functional areas of a complex cellular network. However, the most critical domain from a fault management viewpoint is the Radio Access Network (RAN). The fault management of network elements is not only difficult but also imposes high costs, both in capital investment (CAPEX) and operational expenditures (OPEX). The Self-organizing network (SON) concept has emerged with the goal to foster automation and to reduce human involvement in management tasks. SH is the part of SON that refers to autonomous fault management in wireless networks, including performance monitoring, detection of faults and their causes, triggering compensation and recovery actions, and evaluating the outcome. It improves business resiliency by eliminating disruptions that are discovered, analyzed and acted upon. With the advent of 5G technologies, the management of SON becomes more challenging. The traditional SH solutions are not sufficient for the future needs of the cellular network management because of their reactive nature, i.e., they start recovering from faults after detection instead of preparing for possible faults in a preemptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. In order to address this challenge, the existing SON enabled networks need to be upgraded with additional features. This situation pushes operators to upgrade their SONs from reactive to proactive response and opens doors for further research on SON. In this presentation, we will discuss some aspects of SON solutions for 5G.


Dr. Muhammad Zeeshan Asghar is a Post-doctoral Researcher at Faculty of Information Technology, University of Jyväskylä, Finland. He received his master degree in mobile systems and doctoral degree from Department of Mathematical Information Technology at University of Jyväskylä in 2010 and 2016 respectively. He contributed results to several international conferences and journals since 2010 in the field of telecommunications as part of doctoral studies at University of Jyvaskyla, Finland. Currently, he is leading half a million euro Project on 5G Cognitive Self-organizing Networks at University Of Jyväskylä. He has one patent granted (US Patent no: 9326169) and another patent application is filed. He has global collaborative research network spanning both academia and key industry players in field of wireless communications He participated in several research projects in Nokia Solutions and Network, NSN Finland (former Nokia Siemens Networks) from 2009 till 2014. He conducted three months intensive research on 5G SON, at 5G Innovation Center (5GIC), University of Surrey, UK in year 2016. His research interests primarily focus on Self-organizing Networks, 5G, Heterogeneous small cells network, Artificial neural networks, cognitive computing, software-defined network and Internet-of-Things (IoT).