IEEE Joint Aerospace & Electromagnetics Chapter
Mon, 14 May 2018 – 16:00-17:00
NYU’s Research Platform for End-To-End 5G mmWave Communications
Dr. Marco Mezzavilla
NYU Tandon School of Engineering
In this talk, Dr. Mezzavilla will provide a description of the most recent activities, awarded projects, and key finds related to mmWave communications. The focus will be on NYU’s end-to-end research platform, which comprises a channel sounder that integrates a phased-array with 12 steerable antenna elements, a mmWave channel emulator, and a customizable open source network simulator for 5G end-to-end mmWave cellular systems (whose tutorial recently appeared in IEEE COMST). This platform has been awarded a NIST grant to assess the feasibility of mmWave communications for emergency scenarios. Moreover, the same team, in collaboration with Rutgers University and Columbia University, will build the nation’s first city-based 5G wireless testbed. Dr. Mezzavilla will delve into the core of the network simulator, and present some of the most recent architectures and results.
Dr. Marco Mezzavilla (email@example.com) is a Research Scientist at NYU Tandon School of Engineering, where he leads various mmWave-related research projects, mainly focusing on 5G PHY/MAC design. He received the B.Sc. (2007) and the M.Sc. (2010) in Telecommunications Engineering from the University of Padova (Italy), and the Ph.D. (2013) in Information Engineering from the same university. He held visiting research positions at the NEC Network Laboratories in Heidelberg (Germany, 2009), at the Telematics Department at Polytechnic University of Catalonia (UPC) in Barcelona (Spain, 2010) and at Qualcomm Research in San Diego (USA, 2012). He has authored and co-authored multiple papers in conferences, journals and some patent applications. He is serving as reviewer for many IEEE and ACM conferences, journals and magazines. His research interests include design and validation of communication protocols and applications to Fourth-generation (4G) broadband wireless technologies, millimeter wave communications for 5G networks, multimedia traffic optimization, radio resource management, spectrum sharing, convex optimization, cognitive networks and experimental analysis.