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Adaptive Layered Video Transmission with Channel Characteristics

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9315))

Abstract

In wireless video transmission, the layered video transmission combining with a layered video coding can gracefully accommodate the receivers’ heterogeneity. In this paper, we propose a new layered video transmission scheme based on the wireless channel characteristics of orthogonal frequency division multiplexing (OFDM) physical (PHY) layer, leading to an adaptive layered video transmission (ALAVIT). In our scheme, scalable video coding (SVC) is exploited to generate the layered video bit-streams; and the resulted base layer (BL) and enhancement layer (EL) bits are modulated differently to obtain their individual symbols. According to the estimated channel characteristics described by the H parameters of a connected wireless receiver, subcarriers with good channel quality and more power are allocated to BL symbols for the protection of these important bits. As compared to the state-of-the-art PHY layer techniques such as s-mod and MixCast, our ALAVIT scheme is able to provide a better performance.

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Acknowledgements

This work has been supported in part by National Natural Science Foundation of China (No. 61272262 and No. 61210006), International Cooperative Program of Shanxi Province (No. 2015031003-2), The Program of “One hundred Talented People” of Shanxi Province, Research Project Supported by Shanxi Scholarship Council of China (2014-056) and Program for New Century Excellent Talent in Universities (NCET-12-1037).

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Correspondence to Anhong Wang .

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© 2015 Springer International Publishing Switzerland

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Zhang, F., Wang, A., Ma, X., Zeng, B. (2015). Adaptive Layered Video Transmission with Channel Characteristics. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_38

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  • DOI: https://doi.org/10.1007/978-3-319-24078-7_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24077-0

  • Online ISBN: 978-3-319-24078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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