DocumentCode :
3505342
Title :
Performance Evaluation of Joint FEC and ARQ Optimization Heuristic Algorithms under Gilbert-Elliot Wireless Channel
Author :
Moid, Azfar ; Fapojuwo, Abraham O.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Calgary, AB
fYear :
2008
fDate :
11-14 May 2008
Firstpage :
1751
Lastpage :
1755
Abstract :
In this paper, we evaluate the performance of adaptive algorithms for selecting the number of redundant packets by jointly considering the forward error correction (FEC) and automatic repeat request (ARQ) mechanisms under Gilbert-Elliot (GE) wireless channel. Joint FEC and ARQ mechanisms are applied to video streaming for recovering the transmission errors. It is shown that the proposed heuristic algorithms achieve an improvement in the error recovery process under long burst of errors and in situations where error probability is high. System efficiency and gains in peak-signal-to- noise-ratio (PSNR) are compared, using NS2 based simulations. It is found that the proposed adaptive heuristic algorithms outperform other existing adaptive schemes in terms of system efficiency and PSNR gains. The results show that the proposed algorithms can perform well in wireless channels where long bursts of errors are common phenomena.
Keywords :
automatic repeat request; error statistics; forward error correction; optimisation; performance evaluation; video streaming; wireless channels; ARQ optimization heuristic algorithm; Gilbert-Elliot Wireless Channel; Gilbert-Elliot wireless channel; automatic repeat request; error probability; error recovery process; forward error correction; joint FEC; performance evaluation; AWGN channels; Adaptive algorithm; Additive white noise; Automatic repeat request; Forward error correction; Gaussian noise; Heuristic algorithms; Hidden Markov models; PSNR; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
ISSN :
1550-2252
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2008.401
Filename :
4525957
Link To Document :
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