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On Transmission of Correlated Gaussian Sources over Broadcast Channels with Feedback

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Abstract: This talk is motivated by practical network control problems with strict delay constraints; for example, a sensor node communicating the state of a complex system to various control units. In particular, we consider the transmission of a pair of correlated Gaussian measurements over a two-user Gaussian broadcast channel in the presence of noiseless feedback. Differently from the existing literature, which typically focuses on the infinite horizon regime, we focus on the practically relevant finite horizon problem, i.e., only a finite number of channel accesses can be used for the transmission of each measurement pair. We present three new transmission schemes and characterize their performances. While the first scheme is based on communication theoretic arguments, the second one builds upon linear quadratic Gaussian control theory, and the third applies a dynamic programming approach.

Speaker’s bio: Yonathan Murin received his B.Sc. degree in Electrical Engineering and Computer Science from Tel-Aviv University, Israel, in 2004, and his M.Sc. (magna cum laude) degree in Electrical Engineering from Ben-Gurion University, Israel, in 2011. He is currently pursuing a Ph.D. degree in Electrical Engineering at Ben-Gurion University. From 2004 to 2010 he worked as a DSP and algorithms engineer and as a team leader at Comsys Communication and Signal Processing. His research interests include network information theory, wireless communications and digital signal processing. Yonathan is a recipient of the Zin and Pratt fellowships for outstanding Ph.D. students.

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