Tut3: Internet of Vehicles: When Edge Computing and Learning Meet Intelligent Transport Systems
Instructor: Yan Zhang, University of Oslo, Norway
Abstract: Internet of Vehicles (IoV) aims to exploit the state-of-the-art ICT (Information & Communications Technologies) to achieve sustainable and secure transport systems. The tutorial will cover the state-of-the-art topics in the emerging area of Internet of Vehicles, including Mobile Edge Computing (MEC) and learning approaches in Intelligent Transport Systems enabled by a synergy among these paradigms.
In this tutorial, we will present basic concepts related to Internet of Vehicles and key enabling technologies with respect to communications, computation, machine/deep learning and cyber-physical optimization. We will first introduce the main communication and computation techniques. Then, we will provide a thorough perspective on how mobile edge computing concepts can be adapted for vehicular communication networks. This may become a very interesting research topic and a very promising application related to mobile edge computing. In this scenario, we will focus on resource allocation, models and optimization problems, and various offloading and caching techniques. Next, we will present our ideas on utilizing deep Q-learning, deep reinforcement learning for data transmission, offloading and content distribution in intelligent transport systems. The approach and the solutions in this context will result in highly efficient interconnection and synergy among various types of components in the transport sector.
Bio: Professor Yan Zhang, named 2018 and 2019 “Highly Cited Researcher” (Web of Science top 1% most cited worldwide), is Full Professor in the Department of Informatics at University of Oslo, Norway. He received a PhD degree in School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore. He is an Associate Technical Editor of IEEE Communications Magazine, an Editor of IEEE Network Magazine, an Editor of IEEE Transactions on Vehicular Technology, an Editor for IEEE Transactions on Industrial Informatics, an Editor of IEEE Transactions on Green Communications and Networking, an Editor of IEEE Communications Surveys & Tutorials, an Editor of IEEE Internet of Things journal, an Editor of IEEE Systems Journal, and an Editor of IEEE Vehicular Technology Magazine. He serves as chair positions in a number of conferences, including IEEE GLOBECOM 2017, IEEE PIMRC 2016, IEEE CCNC 2016, WICON 2016, IEEE SmartGridComm 2015, and IEEE CloudCom 2015. His current research interests include: next-generation wireless networks leading to 5G, reliable and secure cyber-physical systems (e.g., smart grid, healthcare, and transport). He is IEEE VTS (Vehicular Technology Society) Distinguished Lecturer during 2016-2020. He is also a senior member of IEEE, IEEE CS, IEEE PES, IEEE ComSoc, and IEEE VT society.