The field of wireless engineering is on the cusp of a data-driven revolution, powered by measurement and powerful AI and machine learning tools such as deep learning, that will help scale wireless systems to unprecedented levels of scale, performance and reliability. While wireless communications technology and performance has advanced considerably since its invention in the 1890s, the fundamental design methodology has remained unchanged throughout its history - wireless engineers hand-tuning and designing radio systems and algorithms for specific applications using simplified analytic models and assumptions. This paradigm has seen rapidly diminishing returns over the past decade in wireless systems as expert systems struggle to tackle the complexity of optimization in the real world under high degrees of freedom.
Built on foundational research first developed and published by DeepSig principals, OmniPHY enables a new, radically different approach, where systems are learned from data consisting of wireless channel measurements and optimized directly for communications systems, real world effects, and end-to-end performance metrics. By providing a new class of wireless systems which scale to improve and exploit imperfections and degrees of freedom in the real world, OmniPHY communications systems can provide a new degree of efficiency, resilience, and adaptivity in complex high-density, non-linear, hostile, and/or unique communications environments, where previously systems were brittle or unable to cope with or adapt to real world conditions.
To learn more about our OmniPHY communications systems, please contact us!