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Home | Seminars and Symposia | Past seminars/symposia: Wednesday, March 10, 2004

DTC Seminar Series

Cross Layer Design in Wireless Networks: Signal Processing and Optimal Protocol


Qing Zhao
Department of Electrical Engineering
Cornell University

Wednesday, March 10, 2004
11:00 am

402 Walter Library

Qing Zhao

Download slides (pdf 1.49 MB) Emerging applications of wireless networking challenge the current design methodology where the network function is divided into layers with each layer designed separately. In this talk, Qing Zhao examines cross layer design, a new paradigm aiming at providing a greater level of adaptivity to variations of wireless channels. Two types of applications are considered: multimedia wireless LAN which strives to support high data rate for a relatively small number of users and large scale sensor networks where the data rate is low but energy constraint severe.

Qing Zhao

For the application of multimedia wireless LAN, she jointly designs the physical and the MAC layers under a set of heterogeneous delay constraints. Signal processing techniques are developed to enable a multi-user physical layer. Capacity achieving MAC protocols are proposed. For large-scale low-power wireless sensor networks, Zhao develops energy efficient medium access control. She demonstrates that the network performance can be significantly enhanced when MAC design capitalizes on parameters from both the physical and the application layers.


Qing Zhao received the B.S. degree in 1994 from Sichuan University, Chengdu, China, the M.S. degree in 1997 from Fudan University, Shanghai, China, and the Ph.D. degree in 2001 from Cornell University, Ithaca, NY, all in Electrical Engineering. From August 2001 to January 2003, she was a Communication System Engineer with Aware, Inc., Bedford, MA. Currently, she is a Postdoctoral Research Associate with the School of Electrical and Computer Engineering at Cornell University. Her research interests include signal processing, communications, wireless networking, and information theory. She received the IEEE Signal Processing Society Young Author Best Paper Award.