Enabling Accurate Ray-Tracing Predictions for 5G Communication Channels

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Planning and installation of wireless systems in private and public spaces, indoor and outdoor, has primarily relied on measurements and empirical models. However, the emergence of next-generation communication systems and the proliferation of the Internet of Things (IoT), create a wireless ecosystem of unprecedented complexity. Moreover, considering the present challenges that Canadians are facing at the time of a pandemic, it is hard to overstate the importance of intelligent design tools for wireless communication, sensing and monitoring systems in hospitals, schools, retirement homes and other public spaces. Wireless systems offer contact-less monitoring that is compatible with social distancing rules, at the cost of adding interfering signals to other systems and contributing to the radiation exposure of vulnerable groups in confined spaces. This project will produce high-fidelity and computationally efficient simulation techniques for modeling electromagnetic wave propagation in complex environments for existing, emerging and future wireless communication systems, including communication systems of fifth generation (5G) and beyond. Such techniques can predict the signal levels created by a system of transmitters in a given environment. They can be used to optimize the position of network access points, assess interference from and towards neighboring systems, evaluate user exposure to electromagnetic radiation and perform network performance studies. The project is based on a partnership between a University of Toronto research group with a long track record in propagation modeling for wireless communication systems, with iBwave, a Canadian company that is dedicated to improving in-building wireless network design.