Plenary Speakers

Prof. Dr. Alexander M. Wyglinski – Worcester Polytechnic Institute

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Our first confirmed lecturer is Professor Dr. Alexander M. Wyglinski from Worcester Polytechnic Institute, Worcester, USA “On Beamforming and Bumblebees: Connecting Vehicles Together” Wireless connectivity is quickly becoming a critical element in future transportation systems, especially with respect to self-driving cars and various levels of vehicular autonomy. Given the complex and highly time-varying environments existing on busy roadways, having each vehicle possessing real-time situational awareness is essential for performing complex functions, such as autonomous lane-changing, traffic intersection management, and platooning. Although there already exists a variety of different sensors that can gather data about the vehicular environment in order to obtain real-time situation awareness, such as LIDAR, RADAR, and vision systems, these sensors can only collect this data via line-of-sight (LOS). On the other hand, wireless connectivity is not constrained to LOS data gathering and can greatly increase the real-time situational awareness of each vehicle on the road, enhancing its performance and increasing driver/passenger safety. As the number of vehicles on the road become connected to each other, this information sharing will evolve into a Vehicular Internet-of-Things (VIOT) environment. To support the VIOT ecosystem, adequate wireless spectrum is needed to enable this connectivity between vehicles in real-time as they are operating on the road in complex conditions. To achieve this, Vehicular Dynamic Spectrum Access, or VDSA, can be employed, where unoccupied wireless spectrum is temporarily accessed by non-licensed users in order to support data communications during that time interval. Compared to conventional DSA techniques, VDSA needs to be capable of handling significant spectral availability variations during a transmission. Past research has explored the use of VDSA in television white space spectral environments as well as the implementation of VDSA algorithms using machine learning techniques. However, recently a new approach to VDSA has been proposed where each vehicle performs VDSA using an algorithm based on bumblebee-inspired.

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Prof. Dr. Ali Hooshyar – University of Toronto