Knowlegde=Based modeling and Optimization Technology Towards Multi-Discilinary Design of High-Frequency Components and Communication Subsystems

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The quest for higher data rates and wider bandwidths in communication systems pushes operational frequencies into the radio frequency and microwave/millimeter-wave range. Here, due to electromagnetic effects, the component and system design process remains computationally challenging, even prohibitive. Recent breakthroughs in integrating available knowledge with detailed electromagnetic simulations, however, suggest ways of overcoming the electromagnetic obstacles of the next generation of design problems. The proposed research addresses the scale and critical mass necessary for the emerging technology of knowledge-based modeling and design of radio frequency, microwave and millimeter-wave components and giga-bit communication circuits. New automated algorithms will exploit modeling and design knowledge such as empirical models, equivalent circuits, semi-analytical equations, and internal electromagnetic structural information. The algorithms will embody optimized parametric and structural mappings between available knowledge and full-wave electromagnetic simulations, thereby achieving both fast and accurate design solutions. The technology will be further generalized towards multi-disciplinary design needs such as electrical/electromagnetic/ thermal/EMC design. Our comprehensive technology will serve as the engine for modeling and design optimization of the next generation high-frequency components and subsystems to help dramatically increase productivity of wireless and wireline communications systems design. Our research will elevate the state of the art in engineering modeling and optimization. By addressing high-frequency challenges, it will contribute to extending bandwidth limits and accelerating the application of new and emerging devices for communication systems. The work will be carried out in close interaction with Canadian industry, strengthening Canadian competitiveness in next generation communication networks.