DocumentCode :
2883901
Title :
Analysis of Selective Retransmission Techniques for Differentially Encoded Data
Author :
Badia, Leonardo ; Levorato, Marco ; Zorzi, Michele
Author_Institution :
IMT Lucca Inst. for Adv. Studies, Lucca, Italy
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an analytical framework for the study of hybrid ARQ techniques aimed at the transmission of multimedia content with differential encoding. We propose a Markov model of a selective repeat hybrid ARQ transmission scheme, where we assume that packets have different properties in terms of size, information content, and retransmission limit, so as to capture the differential encoding which characterizes such multimedia data. We consider a non-zero round-trip time channel modeled through a discrete-time Markov chain. We provide an analytical tool for the evaluation of two main performance metrics, namely, throughput and goodput. The model is extremely flexible and allows evaluation of several channel conditions and comparison of different types of ARQ (plain ARQ, Type I and II hybrid ARQ). Our results can be used as an effective tool to define design guidelines of multimedia transmission systems and to understand their performance trends.
Keywords :
Markov processes; automatic repeat request; encoding; multimedia communication; telecommunication channels; Markov model; differential encoding; discrete-time Markov chain; information content; multimedia content transmission; nonzero round-trip time channel; retransmission limit; selective repeat hybrid ARQ transmission; Automatic repeat request; Bandwidth; Decoding; Error analysis; Error correction; Error correction codes; Forward error correction; MPEG standards; Performance analysis; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
ISSN :
1938-1883
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2009.5198746
Filename :
5198746
Link To Document :
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