This talk will highlight recent advances in high speed wireless communications at UC Berkeley using mm-wave and sub-THz frequency bands. In particular, we will demonstrate that using mm-waves and MIMO techniques has the potential to unlock extremely high bandwidth communication, even approaching Tb/s links. The talk will begin by highlighting advances in 5G and WiFi technology and differentiate this from recent work in academia. Specifications for noise, power, phase-noise, and linearity will be reviewed from the perspective of building large arrays or massive MIMO systems. The focus will be on integrated circuits, packaging, and CMOS devices for the realization of such links.
Ali M. Niknejad received the Ph.D. degrees in electrical engineering from the University of California, Berkeley, in 2000 where he now holds the Donald O. Pederson Distinguished Professorship chair in the EECS department at UC Berkeley and he is a faculty co-director of the Berkeley Wireless Research Center (BWRC). He is also the Associate Director of the Center for Converged TeraHertz Communications and Sensing (ComSenTer). Prof. Niknejad received the 2020 SIA/SRC University Research Award, recognized “for noteworthy achievements that have advanced analog, RF, and mm-wave circuit design and modeling, which serve as the foundation of 5G+ technologies.” Prof. Niknejad is the recipient the 2017 IEEE Transactions On Circuits And Systems Darlington Best Paper Award, the 2017 Most Frequently Cited Paper Award from 2010 to 2016 of the Symposium on Very Large-Scale Integration Circuits, the CICC 2015 Best Invited Paper Award, and the 2012 ASEE Frederick Emmons Terman Award. He is also the co-recipient of the 2013 and 2010 Jack Kilby Award for Outstanding Student Paper, and the co-recipient of the Outstanding Technology Directions Paper at ISSCC 2004. His research interests lie within the area of wireless and broadband communications and biomedical imaging and sensors, integrated circuit technology (analog, RF, mixed-signal, mm-wave), device physics and compact modeling, and applied electromagnetics.