题目：Millimeter-wave Wireless Networking and Sensing: A Unified Perspective
时间：6月23日下午15:00
地点：信电楼117报告厅
报告人：Prof. Xinyu Zhang, University of Wisconsin-Madison
Abstract:
World-wide availability of the 60 GHz millimeter-wave spectrum has fueled tremendous interest in high-speed millimeter-wave networks. To counteract inherent vulnerability to attenuation, 60 GHz wireless devices are expected to communicate by forming highly-directional electronically-steerable beams. However, due to lack of experimental facilities, the practical challenges/opportunities of beam steering remain as open issues.
In this talk, I will first present a cross-layer measurement of 60 GHz networks, using a first-of-its-kind software radio that our team have developed. Our measurement focuses on the effectiveness of beam steering in maintaining link performance, and its sophisticated interaction with environment dynamics (e.g., reflector position and human movement). The results reveal key challenges in establishing robust and efficient 60 GHz connections. In the second part of this talk, I will present a new principle to tackle such challenges. Specifically, I will introduce our preliminary work in leveraging 60 GHz sensing to facilitate efficient 60 GHz networking. Besides, I will briefly introduce other ongoing projects in my research group, including distributed MIMO networking, visible light networking, and novel mobile sensing technologies.
Biography:
Xinyu Zhang is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. He received the B.E. degree in 2005 from Harbin Institute of Technology, the M.S. degree in 2007 from the University of Toronto, and the Ph.D. degree in 2012 from the University of Michigan. He worked as a research intern at Microsoft Research Asia from May to Aug. 2010, and at NEC Labs American from May to Dec. 2011. His research interest lies in designing cross-layer protocols that improve wireless network performance, as well as mobile applications that enable fine-grained context sensing. His work spans the areas of wireless networking, communications engineering and mobile computing, involving both mathematical analysis and system implementation. He received ACM MobiCom Best Paper Award in 2011, and NSF CAREER award in 2014.