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Calendar 2009 Poster Sessions : How Interference Affects the Data Rate in Wireless Networks
Abstract:
As more and more devices communicate with each other wirelessly, interference becomes an increasingly dominant problem. However, even the simple case where two pairs of transmitters and receivers interfere with each other, is not fully understood information-theoretically.
Specifically, the optimal trade-off between the two competing data rates is yet unknown. Recently, this problem has been approached in the asymptotic regime where the system is interference-dominated as opposed to noise-dominated. In this poster, we show some recent results in this area, and we demonstrate how a deterministic model of the system can help us understand the original, stochastic transmission channel.
Bio:
Bernd Bandemer has been a Ph.D. student in Electrical Engineering at Stanford University since Fall 2006. He works with Professors Abbas El Gamal and Arogyaswami Paulraj on wireless communications and information theory. In particular, his work focuses on understanding the role of interference and developing new ways to manage it in future wireless networks. His experience outside Stanford includes working as a research intern at Intel Corporation (Santa Clara, California), at Nokia Research Center (Helsinki, Finland), and at the German Aerospace Center (Munich, Germany). In 2003/04, he was awarded a Fulbright scholarship to study at Purdue University, West Lafayette, Indiana.
As more and more devices communicate with each other wirelessly, interference becomes an increasingly dominant problem. However, even the simple case where two pairs of transmitters and receivers interfere with each other, is not fully understood information-theoretically.
Specifically, the optimal trade-off between the two competing data rates is yet unknown. Recently, this problem has been approached in the asymptotic regime where the system is interference-dominated as opposed to noise-dominated. In this poster, we show some recent results in this area, and we demonstrate how a deterministic model of the system can help us understand the original, stochastic transmission channel.
Bio:
Bernd Bandemer has been a Ph.D. student in Electrical Engineering at Stanford University since Fall 2006. He works with Professors Abbas El Gamal and Arogyaswami Paulraj on wireless communications and information theory. In particular, his work focuses on understanding the role of interference and developing new ways to manage it in future wireless networks. His experience outside Stanford includes working as a research intern at Intel Corporation (Santa Clara, California), at Nokia Research Center (Helsinki, Finland), and at the German Aerospace Center (Munich, Germany). In 2003/04, he was awarded a Fulbright scholarship to study at Purdue University, West Lafayette, Indiana.