"Transmission Capacity of Wireless Networks"
Professor Steven Weber, Electrical & Computer Engineering
CoRE Building Lecture Hall
Abstract: Transmission capacity (TC) is a performance metric for wireless networks that measures the spatial intensity of successful transmissions per unit area, subject to a constraint on the permissible outage probability (where outage occurs when the SINR at a receiver is below a threshold). I present a unified treatment of the TC framework that has been developed over the past decade. The mathematical framework underlying the analysis is stochastic geometry: Poisson point processes model the locations of interferers, and (stable) shot noise processes represent the aggregate interference seen at a receiver. I first present TC results (exact, asymptotic, and bounds) on a simple model in order to illustrate a key strength of the framework: analytical tractability yields explicit performance dependence upon key model parameters. I then present enhancements to this basic model --- channel fading, variable link distances, and multi-hop. Time permitting, I will discuss four network design case studies well-suited to TC: i) spectrum management, ii) interference cancellation, iii) signal threshold transmission scheduling, and iv) power control.
Steven Weber received his B.S. degree in 1996 from Marquette University in Milwaukee, WI, and his M.S. and Ph.D. degrees from The University of Texas at Austin in 1999 and 2003 respectively. He joined the Department ofElectrical and Computer Engineering at Drexel University in 2003 where he is currently an associate professor. His research interests are centered around mathematical modeling of computer and communication networks, specifically streaming multimedia and ad hoc networks.