An evolution of increasingly higher levels of integration in modern SoCs, combined with the insatiable demand for more data/information across a single channel, has motivated researchers to explore methods that overlay (combine) transmit and receive functions. In-band full-duplex radio communication has emerged as a tool to increase capacity and data rates. However, simultaneously transmitting and receiving on the same carrier frequency introduces self-interference, which can degrade the radio’s overall performance.
“Chris”tophe Rudell,
University of Washington, Seattle
Beyond radio applications, self-interference is emerging across a wide range of applications, from wireless and wireline transceivers to biomedical systems (neural interfaces, imaging front-ends, etc.) and quantum electronics. Increased spectral efficiency motivates the use of radios that simultaneously transmit and receive using the same frequency band. The strong transmitter self-interference in FD radios places extreme performance demands on the corresponding receiver, including linearity, noise figure degradation, reciprocal mixing, and achieving the highest possible cancellation depth and bandwidth. Moreover, while several successful research efforts have demonstrated the feasibility of integrated self-interference cancellation techniques, these solutions require a high degree of tunability via complex, lengthy calibration algorithms, further challenging the practical use of FD radios in commercial wireless systems.
This presentation will review the challenges of self-interference across a diverse set of applications, from biomedical to wireless communication and radar sensing. This is followed by a survey of the last eight years of our laboratory research on integrated radio front-ends for FD wireless systems. Our more recent work on the use of convolutional neural networks (CNNs) for rapid adaptation of a full-duplex canceller will be highlighted toward the end of the presentation, along with our thoughts for future research on highly adaptable integrated radio front-ends. Lastly, some thoughts will be given on a new research center, based at the University of Washington, named “The Center for Intelligent Silicon”.
“Chris”tophe Rudell received degrees in electrical engineering from the University of Michigan (BS), and UC Berkeley (MS, PhD). After finishing his PhD, he worked as an RF IC designer at Berkana Wireless (now Qualcomm) and Intel Corporation. In January 2009, he joined the faculty at the University of Washington, Seattle, where he is now a professor of electrical and computer engineering. He is also a member of the Center for Neural Technology (CNT) and served as the co-director of the Center for the Design of Analog-Digital Integrated Circuits (CDADIC).