Abstract: 5G wireless networks have brought about a technological transformation in modern societies by providing an ultra-reliable high-speed communications infrastructure that will serve billions of devices, machines and vehicles. These devices will contribute massive amounts of data that will need to be pipelined over future 5G networks under the umbrella of future smart cities, connected autonomous cars, and IoT applications. The complexity of 5G networks will hence be unprecedented, due to the very diverse applications, ultra-low latency requirements for critical vehicle communication, growing demand for high positioning accuracy for location-based services, and dense, heterogeneous architectures.
In this talk, we address our efforts towards developing a smart management solution suite for future 5G networks based on innovative machine learning and big data analytics techniques. In particular, we discuss data-driven radio resource management functions that are mobility- and context-aware. In this domain we discuss the design of a predictive resource allocator that leverages individual user-level mobility information to opportunistically plan data transmissions in advance. We also discuss how to autoconfigure 5G mobility management network settings of cell selection and handover. The solutions will enable networks to be self-diagnosing and self-organizing and will enhance network capacity and user service while reducing capital and operating expenditures.
Hossam Hassanein is a leading authority in the areas of broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. His record spans more than 600 publications in journals, conferences and book chapters, in addition to numerous keynotes and plenary talks in flagship venues. Dr. Hassanein has received several recognition and best paper awards at top international conferences. He is the founder and director of the Telecommunications Research Lab (TRL) at Queen's University School of Computing, with extensive international academic and industrial collaborations. He is the recipient of the 2016 IEEE Communications Society Communications Software Technical Achievement Award for outstanding contributions to routing and deployment planning algorithms in wireless sensor networks, and the 2020 IEEE IoT, Ad Hoc and Sensor Networks Technical Achievement and Recognition Award for significant contributions to technological advancement of the Internet of Things, ad hoc networks and sensing systems. Dr. Hassanein is a fellow of the IEEE, and is a former chair of the IEEE Communication Society Technical Committee on Ad hoc and Sensor Networks (TC AHSN). He is an IEEE Communications Society Distinguished Speaker (Distinguished Lecturer 2008-2010).
https://www.cs.queensu.ca/people/profile.php?fname=Hossam&lname=Hassanein
