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Title Information-theoretic Results on Communication Problems with Feed-forward and Feedback.
Publication Date
Date Accessioned
Degree PhD
Discipline/Department Electrical Engineering: Systems
Degree Level doctoral
University/Publisher University of Michigan
Abstract As networked communication systems become increasingly sophisticated, understanding information flow in networks is a problem of central importance. Multi-user information theory attempts to understand various interactions in a network by studying small building blocks such as distributed compression, multiple access, broadcast etc. In this thesis, we investigate two problems in network communication from an information-theoretic perspective: feed-forward in sources and feedback in channels. The two problems are closely related in the sense that there is a dynamic aspect to either the decoder or the encoder in each of them. Feedback in channels has been extensively studied, but the problem of source coding with feed-forward is recent. In source coding with feed-forward, to reconstruct each source sample, the decoder has knowledge of some past source samples in addition to the codebook index. This extra information can presumably help the decoder produce a better reconstruction. We obtain the optimal rate-distortion function and characterize the error exponent for this problem. The relevant information quantity is directed information, which captures the causal flow of information from one random sequence to another. Directed information was recently used to characterize the capacity of channels with feedback. We provide an interpretation of directed information that helps understand why it arises in the context of feedback. This interpretation is used to obtain the feedback capacity of channels with side-information available with delay at both the encoder and decoder. It turns out that feed-forward/feedback does not improve the performance limit for memoryless sources/channels. Hence we consider general sources and channels with memory. Consequently, the rate-distortion function and capacity are multi-letter expressions that cannot be computed easily in general. We present an approach that can used to compute these expressions for a wide class of sources, channels and distortion measures. Finally, we investigate the effect of feed-forward in multiple descriptions coding. We obtain a computable `single-letter' achievable rate region. In contrast to the point-to-point case, even for i.i.d sources, the obtained rate-region is strictly better than the best known region without feed-forward.
Subjects/Keywords Information Theory; Feed-forward; Source Coding; Feedback; Electrical Engineering; Engineering
Contributors Sadanandarao, Sandeep P. (committee member); Bayraktar, Erhan (committee member); Neuhoff, David L. (committee member); Teneketzis, Demosthenis (committee member)
Language en
Rights Unrestricted
Country of Publication us
Record ID handle:2027.42/61696
Repository umich
Date Indexed 2020-09-09
Grantor University of Michigan, Horace H. Rackham School of Graduate Studies
Issued Date 2008-01-01 00:00:00
Note [thesisdegreename] Ph.D.; [thesisdegreediscipline] Electrical Engineering: Systems; [thesisdegreegrantor] University of Michigan, Horace H. Rackham School of Graduate Studies; [bitstreamurl] http://deepblue.lib.umich.edu/bitstream/2027.42/61696/1/rvenkata_1.pdf;

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…Systems) in The University of Michigan 2008 Doctoral Committee: Associate Professor Sandeep P. Sadanandarao, Chair Professor David L. Neuhoff Professor Demosthenis Teneketzis Assistant Professor Erhan Bayraktar c Ramji Venkataramanan All Rights…