'Self Interferometry' involves learning about the environment using
wireless radios. Analyzing echo of transmission is a well-established
technique for learning about the environment. However, most wireless radios
cannot sense the environment around them, as they cannot hear the echo of
their own transmission. More specifically, the basic precept of wireless
communications is that radios cannot transmit and receive at the same time
on the same frequency. This long-held assumption has shaped several aspects
of wireless communication: from radio design, PHY, MAC, and network layer
designs for various kinds of wireless networks. The first part of this talk
will focus on invalidating this assumption. Specifically, I will describe
the evolution of our research on self-interference cancellation over the
last three years which has now shown that realizing in-band full duplex
radios is in fact practical, and discuss the impact it is beginning to have
on future wireless network.
In the second part of the talk, I will highlight the cross-disciplinary nature of my research spanning RF, DSP, PHY, and MAC, and discuss the challenges in building a practical wireless radio Self Interferometer and its applications. Applications that we shall discuss includes multi-band simultaneous transmission and reception, advanced relaying strategy which not only extends the coverage but also the overall capacity of wireless networks, a human motion tracking system using wireless radios alone, and building a high-throughput Internet-of-Things (IOT) backscatter system which works by piggybacking on WiFi signals. Beyond these, Self Interferometry provides ample possibilities for addressing problems that span several disciplines.
Dinesh Bharadia is a Ph.D. candidate in electrical engineering at Stanford. His research interests include advancing the theory and design of modern wireless systems and architecture, sensor networks and data-center networks. From 2013-15, Dinesh was the Principal Scientist for Kumu Networks, where he worked on commercializing his research on practical full-duplex systems. He received his bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Kanpur in 2010. Dinesh is a recipient of the Stanford Graduate Fellowship, as well as the gold medal at IIT Kanpur for graduating at the top of his class.