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Cross-Layer Adaptation-Based Video Downlink Transmission over LTE: Survey

  • Conference paper
Distributed Computer and Communication Networks (DCCN 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 279))

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Abstract

The recent technological growth in the field of video communications has caused a rise of video applications along with an emergence of new large screen mobile devices. Note that unlike the second and the third generation wireless technologies, the Long-Term Evolution (LTE) is able to support high data rate video applications based on its increased capacity. A Cross-Layer Adaptation (CLA) approach has become very popular due to its ability to achieve an acceptable video quality and satisfy delay requirements over the error-prone LTE networks. The CLA design implies the interaction between the network layers that results in adaptation of the source compression and channel coding toward an optimized video delivery. This paper presents a survey on the recent CLA advances which claim to provide considerable improvements for video communication over LTE. State-of-the-art CLA techniques are studied based on the type of adaptation, distortion estimation and optimization problem formulation and solution.

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Authors and Affiliations

  1. Department of Signal Processing, Tampere University of Technology, Korkeakoulunkatu 10, 33720, Tampere, Finland

    Tatiana Efimushkina & Moncef Gabbouj

Authors
  1. Tatiana Efimushkina
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  2. Moncef Gabbouj
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Correspondence to Tatiana Efimushkina .

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Editors and Affiliations

  1. Russian Academy of Sciences, Moscow, Russia

    Vladimir Vishnevsky , Dmitry Kozyrev  & Andrey Larionov ,  & 

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Efimushkina, T., Gabbouj, M. (2014). Cross-Layer Adaptation-Based Video Downlink Transmission over LTE: Survey. In: Vishnevsky, V., Kozyrev, D., Larionov, A. (eds) Distributed Computer and Communication Networks. DCCN 2013. Communications in Computer and Information Science, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-319-05209-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-05209-0_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05208-3

  • Online ISBN: 978-3-319-05209-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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