Electrical and Computer Engineering
Center for Multimedia Communication
Department of Electrical and Computer Engineering
The Ohio State University
Characterizing the achievable throughput in wireless networks with two active RF chains
Wednesday, September 25, 2013
to 1:00 PM
3076 Duncan Hall
6100 Main St
Houston, Texas, USA
Recent breakthroughs in wireless communication show that by using new signal processing techniques, a wireless node is capable of transmitting and receiving simultaneously on the same frequency band by activating both of its RF chains, thus achieving full-duplex communication and potentially doubling the link throughput. However, with two sets of RF chains, one can build a half-duplex multi-input and multi-output (MIMO) system that achieves the same gain. While this gain is the same between a pair of nodes, the gains are unclear when multiple nodes are involved, as in a general network. The key reason is that MIMO and full-duplex have different interference patterns. A MIMO transmission blocks transmissions around its receiver and receptions around its transmitter. A full-duplex bi-directional transmission blocks any transmission around the two communicating nodes, but allows a reception on one RF chain. Thus, in a general network, the requirements for the two technologies could result in potentially different achievable throughput regions. We investigate the achievable throughput performance of MIMO, full-duplex and their variants that allow simultaneous activation of two RF chains. We precisely characterize the conditions under which these technologies outperform each other for a general network topology under a binary interference model.
Host: Ashu Sabharwal
Biography of Yang Yang:
Yang Yang received his B.S. degree in Electrical Engineering from Shanghai Jiao Tong University, China, in 2009. He is currently pursuing the Ph.D. degree in the Department of Electrical and Computer Engineering at The Ohio State University.
His research interests include wireless resource allocation and performance analysis. He is a recipient of Roberto Padovani Scholarship from Qualcomm in 2013.