On Real-Time Communication Systems with Noisy Feedback

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dc.creatorMahajan, Aditya
dc.creatorTeneketzis, Demosthenis
dc.date2007-09-23
dc.date.accessioned2026-07-07T08:31:49Z
dc.date.available2026-07-07T08:31:49Z
dc.descriptionWe consider a real-time communication system with noisy feedback consisting of a Markov source, a forward and a backward discrete memoryless channels, and a receiver with finite memory. The objective is to design an optimal communication strategy (that is, encoding, decoding, and memory update strategies) to minimize the total expected distortion over a finite horizon. We present a sequential decomposition for the problem, which results in a set of nested optimality equations to determine optimal communication strategies. This provides a systematic methodology to determine globally optimal joint source-channel encoding and decoding strategies for real-time communication systems with noisy feedback.
dc.description5 pages, 2 figures, submitted to IEEE Information Theory Workshop
dc.identifierhttps://arxiv.org/abs/0709.3753
dc.identifierhttp://arxiv.org/abs/0709.3753
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138612
dc.subjectInformation Theory
dc.subjectMultiagent Systems
dc.subjectOptimization and Control
dc.subjectProbability
dc.titleOn Real-Time Communication Systems with Noisy Feedback
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