Scheduling and Transmission Aspects in Distributed Storage
Index coding is often studied with the assumption that a single source has all the messages requested by receivers. This is referred to as centralized index coding. In contrast, this talk focuses on distributed index coding and addresses the following question: How does the availability of messages at distributed sources (storage nodes) affect the solutions and achievable rates of index coding? An extension to the work of Arbabjolfaei et al. in ISIT 2013 is presented when distributed sources communicate via a deterministic multiple access channel (MAC) to simultaneous receivers. A numbers of examples are discussed that show the effect of message distribution and redundancy across the network on achievable rates of index coding and motivate future research on designing practical network storage codes that offer high index coding rates.
Biography: Dr. Parastoo Sadeghi is an Associate Professor at the Research School of Engineering, Australian National University, Canberra, Australia. She received the B.E. and M.E. degrees in Electrical Engineering from Sharif University of Technology, Tehran, Iran in 1995 and 1997, respectively, and the PhD degree in Electrical Engineering from the University of New South Wales, Sydney, Australia in 2006. Parastoo has co-authored more than 130 refereed journal and conference papers and a book on Hilbert Space Methods in Signal Processing (Cambridge Univ. Press, 2013). Her research interests are mainly in the areas of network coding, wireless communications systems, and signal processing.