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Date:  Wed, November 19, 2014
Time:  1:30 pm
Location:  Holmes Hall 389
Speaker:  Dr. Emina Soljanin Distinguished Member of Technical Staff, Bell Labs

With the rapid increase in multicast download applications, we see more and more proposals for packet level, erasure-channel, coding. Raptor codes (to be deployed in LTE eMBMS) and random linear network codes are, in a certain sense, essentially optimal for multicast when all receivers require identical quality of content. This is not the case in more realistic scenarios when some of the users adjust their demands according to e.g., their screen sizes or (un)favorable channel conditions. We study serving multicast users with individual content quality (cf. distortion) requirements over statistically different erasure channels. We explore appropriate performance metrics and performance bounds, and also discuss and propose practical schemes to address this multifaceted, multi-user, lossy, source-channel coding problem.

Bio: Emina Soljanins a Bell Labs researcher working in the broad area of coding and information theory, and their applications. She has participated in a very wide range of research and business projects, including the first distance enhancing codes to be implemented in commercial magnetic storage devices, the first forward error correction for Bell Labs optical transmission systems, color space quantization and color image processing, quantum computation, and link error prediction methods for hybrid ARQ wireless network standards. Her most recent activities are in the area of network and rateless coding for data storage and transmission, and she is a co-author of two monographs on network coding, Emina has served as a mentor to many summer interns and postdocs. She is a member of the American Mathematical Society, and IEEE Fellow.