Optimization of Communication Networks:
Challenges, Progress, and New Ideas

Speaker: Dr. Mung Chiang, Princeton University

I will start this talk by surveying some of the main challenges in the quickly evolving field of "Optimization of Communication Networks": stochastic dynamics, global coupling, and nonconvexity. Three recent works with my collaborators in the areas of wireless power control, DSL spectrum management, and Internet routing will then be summarized, with a focus on how some of the notorious difficulties have recently been resolved, and how these results are making an impact to networks in use by the public today. I will conclude the talk by highlighting a few new ideas extracted from the large and growing body of research literature in this field.


Mung Chiang is an Assistant Professor of Electrical Engineering and an affiliated faculty of Applied and Computational Mathematics at Princeton University. He received the B.S. (Honors) in Electrical Engineering and Mathematics, M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, and was a technical consultant at three telecom startup companies and a Principal Member of Technical Staff in Network Systems Engineering at SBC Communications.
Professor Chiang conducts research in the areas of nonlinear optimization of communication systems, theoretical foundation of network architectures, algorithms in broadband access networks, and stochastic models of communications. He has been awarded as a Hertz Foundation Fellow, and received Stanford University School of Engineering Terman Award, SBC Communications New Technology Introduction Contribution Award, NSF CAREER Award, and Princeton University Howard B. Wentz Junior Faculty Award. One of his papers becomes the Fast Breaking Paper in Computer Science in November 2006 according to ISI’s citation frequency. He also co-authored papers that were best paper award finalists at IEEE Infocom, Globecom, and VTC.

Presented On: Dec 1st, 2006
Video: QuickTime Streaming video