Addresses the key challenges that arise in baseband processing for the next generation mmWave/THz wireless systems, by jointly designing novel algorithms and corresponding efficient VLSI implementations.
Develops protocols and system architectures that enable mmWave hardware to be efficiently developed and integrated in communication networks, and allow for effective support of user applications.
Bridges the hardware-systems-algorithms areas for mm-Wave imaging systems.
Develops the tools to understand end-to-end THz systems.
Develops signal processing architectures and algorithms that enable massive hardware scaling in mmWave and THz communication and sensing.
Establishes THz propagation characteristics for channels that are wideband and directional by mean of detailed channel measurements over a number of representative application scenarios.
Amin Arbabian, Assistant Professor
Teams: Hardware for Compressive Imaging Systems
Dina Katabi, Professor
Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Teams: Fast Network Protocols
Upamanyu Madhow, Professor
Electrical and Computer Engineering
University of California Santa Barbara
Teams: Signal Processing for Massive MIMO and THz Sensing
Andreas Molisch, Professor
University of Southern California
Teams: THz Channel Modeling
Sundeep Rangan, Professor
New York University
Teams: mm-wave Mesh Network Design
Christoph Studer, Assistant Professor
Teams: Baseband Processing Algorithms and Architectures