Title :
Convolutional coding for resilient packet header compression
Author :
Suryavanshi, Vijay A. ; Nosratinia, Aria
Author_Institution :
Lab. of Multimedia Commun., Texas Univ., Dallas, TX, USA
fDate :
28 Nov.-2 Dec. 2005
Abstract :
This paper proposes a system using convolutional codes to mitigate error propagation in packet header compression. Convolutional codes are a class of forward error correction (FEC) codes, and their use is motivated because on uni-directional links loss of even one packet can render subsequent packets useless. A combination of two interleavers is used to address channel memory and increase the power of the code, and the optimum yet computationally efficient Viterbi algorithm is used for decoding at the receiver. Simulation results demonstrate the advantages of the proposed scheme.
Keywords :
Viterbi decoding; convolutional codes; data compression; forward error correction; interleaved codes; FEC codes; Viterbi algorithm; channel memory; convolutional coding; decoding; error propagation; forward error correction codes; interleavers; receiver; resilient packet header compression; Block codes; Computational modeling; Convolutional codes; Decoding; Forward error correction; Multimedia communication; Multimedia systems; Reed-Solomon codes; Resilience; Viterbi algorithm;
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Print_ISBN :
0-7803-9414-3
DOI :
10.1109/GLOCOM.2005.1577744