A Decision Theoretic Framework for Real-Time Communication
| dc.creator | Mahajan, Aditya | |
| dc.creator | Teneketzis, Demosthenis | |
| dc.date | 2005-11-06 | |
| dc.date.accessioned | 2026-07-07T08:15:43Z | |
| dc.date.available | 2026-07-07T08:15:43Z | |
| dc.description | We consider a communication system in which the outputs of a Markov source are encoded and decoded in \emph{real-time} by a finite memory receiver, and the distortion measure does not tolerate delays. The objective is to choose designs, i.e. real-time encoding, decoding and memory update strategies that minimize a total expected distortion measure. This is a dynamic team problem with non-classical information structure [Witsenhausen:1971]. We use the structural results of [Teneketzis:2004] to develop a sequential decomposition for the finite and infinite horizon problems. Thus, we obtain a systematic methodology for the determination of jointly optimal encoding decoding and memory update strategies for real-time point-to-point communication systems. | |
| dc.description | 10 pages, 1 figure: Forty Third Allerton Conference of Control Communication and Computing | |
| dc.identifier | https://arxiv.org/abs/cs/0511026 | |
| dc.identifier | http://arxiv.org/abs/cs/0511026 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/133540 | |
| dc.subject | Information Theory | |
| dc.title | A Decision Theoretic Framework for Real-Time Communication | |
| dc.type | text |