Infotech Oulu Lecture Series: Dr. Xiaobo Zhou

Tuesday, March 11, 2014

at 10:00-11:30
Lecture Hall:
TS 127

Title: Multi-Dimensional Correlation Exploited Cooperative Wireless Communications: Theoretical Analysis and Performance Evaluation

Abstract: In this talk, we investigate cooperative wireless communications from the perspective of network information theory. The primary goal is to create theoretical bases and establish practical code frameworks for cooperative wireless communications that exploit multi-dimensional correlations, and finally achieve new paradigm shift in wireless communication system design. Particularly, we focus on two representative problems: (1) Markov source transmission over one-way single relay system, (2) correlated source transmission over multiple access relay channel. For both problems, the achievable rate region is analyzed based on Slepian-Wolf and source coding with side information theorems, respectively. The performance limits of the two problems are then derived based on the achievable rate region analysis. We also proposed practical distributed joint source-channel coding and joint source-channel-network coding techniques for the two problems to exploit the source correlation, respectively. The effectiveness of the proposed coding techniques and the accuracy of the theoretical analysis are verified through a series of simulations.

Short Bio: Dr. Xiaobo Zhou recieved the B.Sc. in Electronic Information Science and Technology from University of Science and Technology of China (USTC), Hefei, China, in 2007, the M.E. in Computer Application Technology from Graduate University of Chinese Academy of Science (GUCAS), Beijing, China, in 2010, and the Ph.D. degree from School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, in 2013. Since October 2013, he is with the School of Information Science, JAIST as a researcher. His research interests include coding techniques, joint source-channel coding ,cooperative wireless communications and network information theory.

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Last updated: 16.5.2014