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Adaptive truncated HARQ aided layered video streaming relying on inter-layer FEC coding

Zhu, Chuan, Huo, Yongkai, Zhang, Bo, Zhang, Rong, El-Hajjar, Mohammed and Hanzo, Lajos (2016) Adaptive truncated HARQ aided layered video streaming relying on inter-layer FEC coding IEEE Transactions on Vehicular Technology, 65, (3), pp. 1506-1521. (doi:10.1109/TVT.2015.2413790).

Record type: Article


Interlayer forward error correction coding (ILFEC) constitutes an effective unequal error protection (UEP) scheme conceived for transmitting layered video over wireless channels. In contrast to traditional UEP schemes, it operates by embedding extra information concerning the base layer (BL) into the enhancement layers (ELs) without requiring extra transmission resources. The received EL packets assist in the decoding of the BL in order to reduce the distortion of the reconstructed video. The optimum scheduling of the IL-FEC coded layered video streaming in a truncated HARQ (THARQ) aided system is an open problem. Hence in this treatise, we conceive an adaptive THARQ (ATHARQ) algorithm for finding the most appropriate scheduling of the IL-FEC coded layered video packets for the sake of minimizing the video distortion under the constraint of a given total number of transmission time slots. Furthermore, we develop a method of on-line coding-rate optimization algorithm for our IL-ATHARQ transmission scheme, in order to find the best FEC code rate distribution among the video layers that results in the lowest possible video distortion. When using a recursive systematic convolutional (RSC) code, our simulation results show that the proposed rate-optimized IL-ATHARQ system outperforms the traditional THARQ transmission scheme by about 5.3 dB of Eb=N0 at a peak signal-to-noise ratio (PSNR) of 38.5 dB. Viewing the improvements in terms of the video quality, 2.5 dB of PSNR improvement is attained at an Eb=N0 of 15 dB.

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Accepted/In Press date: 10 March 2015
e-pub ahead of print date: 16 March 2015
Published date: March 2016
Organisations: Southampton Wireless Group


Local EPrints ID: 375608
ISSN: 0018-9545
PURE UUID: c7a9db30-8ced-4952-903d-8ea11633367a
ORCID for Mohammed El-Hajjar: ORCID iD

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Date deposited: 10 Apr 2015 14:11
Last modified: 17 Jul 2017 21:16

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Author: Chuan Zhu
Author: Yongkai Huo
Author: Bo Zhang
Author: Rong Zhang
Author: Mohammed El-Hajjar ORCID iD
Author: Lajos Hanzo

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