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Perceptual service-level QoE and network-level QoS control model for mobile video transmission

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  • Mina Malekzadeh

    (Hakim Sabzevari University)

Abstract

The cumulative effects of network transmission link imperfections and real-time limitations of video data result in multiple challenges for mobile video transmission. The challenges, together with the increasing expectations of users for well-displayed videos, further extend the complexity particularly in dense areas. To address the issues and provide efficient mobile video transmission, this work proposes a model with two phases: network-related settings (NRS) and video-related settings (VRS). The NRS is related to the mobile transmission link limits and develops four separate mobile networks, including long term evolution, 802.11 ax dual-band, and 802.11 ac. The VRS, on the other hand, is related to the video real-time constraints and covers five well-known compression algorithms used in the reference video preparation process. With comprehensibility in mind, the model comprises different factors that have a profound impact on the mobile video transmission process. The model is implemented and the results determine the video delivery efficiency in terms of the network-level quality of service and service-level quality of experience. To further validate the model, a testbed is set up and the measured experimental results are compared with those of the simulation. The results establish a baseline for efficient mobile video transmission on resource constraint devices.

Suggested Citation

  • Mina Malekzadeh, 2021. "Perceptual service-level QoE and network-level QoS control model for mobile video transmission," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(3), pages 523-541, July.
    • Handle: RePEc:spr:telsys:v:77:y:2021:i:3:d:10.1007_s11235-021-00777-y
    DOI: 10.1007/s11235-021-00777-y
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    References listed on IDEAS

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    1. João Victor Costa Carmona & Edemir Marcus Carvalho de Matos & Bruno Souza Lyra Castro & Fabrício José Brito Barros & Miércio Cardoso de Alcântara Neto & Evaldo Gonçalves Pelaes, 2019. "Video loss prediction model in wireless networks," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-19, March.
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