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 two patent applications are filed in the field of SON. He has global collaborative research network spanning both academia and key industry players in field of wireless communications. He participated in several research projects related to SON at Nokia Solutions and Network, NSN Finland (former Nokia Siemens Networks) from 2009 till 2014.
His research interests primarily focus on Self-organizing Networks, 5G technology, Heterogeneous small cells network, massiveMIMO, Artificial neural networks, cognitive computing, software-defined network and Internet-of-Things (IoT).
AI-assisted Cognitive Self-organizing Networks for 5G and Beyound
This talk is dedicated to the application of state-of-the art Artificial intelligence techniques in self organising networks for future wireless networks i.e, 5G/6G. As the world is gearing up to embrace fifth generation technologies and stepping towards the age of digitization, the requirement for self organised, self optimized, self managed and intelligent systems is inevitable. Artificial intelligence is the leading technology to equip the digital systems in digital environment with intelligence, cognition and self optimization. With the advent of 5G technologies, the management of SON becomes more challenging. The traditional SON 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. The AI techniques can be effectively used to self-optimize, self-configure and self-heal the cellular network. This situation pushes operators to upgrade their SONs from reactive to proactive response and opens doors for further research on AI assisted SON. In this talk, we will discuss some aspects of SON solutions to address the multidimentional challenges such as heterogeneity in layers and technologies, the rise of internet of things (IoT) and machine to machine paradigm, availability of variety of services and applications, generation of huge amount of data, quality of service (QoS) and quality of experience (QoE) requirements and additional management complexity in NFV and SDN architectures posed in the era of 5G.