Adaptive Intelligent Wireless Networking with Advanced Communication and Machine Learning Techniques

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With the recent arrival of 5G wireless standardization and the emerging visions of beyond-5G (B5G) technologies, we are witnessing dramatic developments in wireless services and applications. New technologies and application environments, such as industrial Internet of Things, augmented reality, mobile cloud computing, and mobile data analytics, are creating service demands that stress the capacity and flexibility of the wireless infrastructure. Optimal operation of future wireless systems requires built-in intelligence that adapts to the constantly changing interference patterns, capacity demand, latency constraints, security requirements, and network scale. In collaboration with Ericsson Canada, we propose a new research partnership to develop the needed theories and practical designs of adaptive intelligent wireless networks. Our long-term objective is to understand how the new complexity and dynamics in next-generation wireless systems impact their operation and user experience, and how to integrate artificial intelligence and autonomous adaptation into these systems to manage their complexity and dynamics. In the shorter term of this project, we focus on developing advanced communication and machine learning techniques for 5G and B5G networks.The proposed partnership will enable a unique collaborative project that brings together world-leading engineering expertise from Ericsson and substantial research capacity from the University of Toronto. We will tackle a range of challenging open problems in designing future adaptive intelligent wireless networks. This project will benefit Ericsson Canada and its technology and business partners in Canada, improving their innovation portfolio, system design, customer base, and profitability. It will also contribute to our fundamental understanding on how to build efficient and robust communication systems in Canada.