On Fundamental Limits of Information Transfer through Networks with Interference

April 12, 2013
Location: Interschool Lab (750 CEPSR)
Hosted by: Prof. Xiaodong Wang
Speaker: Dr. Bernd Bandemer , Postdoctoral Scholar (Information Theory and Applications Center, Univ. of California, San Diego)


The wireless revolution has changed the way we live and work: Today, the number of mobile phones in use worldwide is four times larger than the number of land-line phones, and three times larger than the number of personal computers. Fueled by a growing user base and new data-hungry applications, the total data volume that is transported over mobile networks is projected to grow by 78% annually in coming years.

To meet this staggering demand, the available wireless spectrum resources must be used as efficiently as possible. This goal is complicated by the nature of the wireless channel as a shared medium, through which otherwise independent simultaneous transmissions interfere with each other. To guide future wireless system design, we must understand how multiple transmissions can share the medium optimally, and how to quantify the performance impairment for one transmission caused by interference from the others.

In this talk, I will demonstrate how to make progress in this direction via a modular approach. First, we isolate the transmitter side of the problem, which gives rise to the setting of communication with disturbance constraints. Second, we consider the receiver side, and show an equivalence between the optimal but intractable decoding rule and a simpler, yet surprisingly equally efficient decoder. Finally, we consolidate the two aspects and draw conclusions for the original shared medium problem. When translated to practice, these results will enable more efficient use of the available spectrum resources, and thus, higher data rates in mobile networks.

Speaker Bio

Bernd Bandemer is a postdoctoral scholar at the Information Theory and Applications (ITA) Center of the University of California, San Diego. He received his Ph.D. degree in Electrical Engineering from Stanford University in January 2012, and his Dipl.-Ing. (MS) degree in Electrical and Computer Engineering from Ilmenau University of Technology, Germany, in 2006. In 2003/04, he visited Purdue University through a German-American Fulbright fellowship. His current research focuses on network information theory and wireless communications.

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