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Wireless communications and sensing have become ubiquitous. With the proliferation of wireless technologies, however, the electromagnetic spectrum has become increasingly congested. New concepts and technologies, such as AI-assisted radio networks, full-duplex wireless, and large array beamforming, have emerged to efficiently utilize the spectrum. While these new wireless paradigms are promising, the development of interference-resilient and broadband wireless systems has become one of the biggest hurdles moving forward.
In this talk, I will demonstrate how to use radio-frequency (RF) commutated circuits to enable unique analog signal processing capabilities for future wireless transceivers. First, I will introduce a new class of reconfigurable RF filtering front-end that fuses acoustic filters into a commutated network. In a second example, I will discuss commutated-inductor-capacitor broadband delay circuits for interference cancellation and beamforming. Finally, I will briefly touch upon how a commutated circuit helps to achieve RF self-interference cancellation and analog-domain autonomous adaptation at the same time for full-duplex wireless.
Jin Zhou received the Ph.D. degree in electrical engineering from Columbia University in 2017. Since 2017, he has been with the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign as an Assistant Professor. He was a recipient of the NSF CAREER award in 2021 and is a co-founder of the IEEE Solid-State Circuits Society central Illinois chapter.