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Predicting Video Stream Fragments in a Reactive Mode

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2017)

Abstract

With the progress of wireless communication, people can watch streaming video programs in a moving vehicle. However, if the communication areas of two neighbor eNBs do not overlap, when a user goes through the gap between the two communication areas, the streaming video program will be interrupted. This greatly lowers the quality of video-program service. Therefore, in this study, we predict the segment which the target base station, e.g., BT, should download and play when UE stays in its communication area. The method we use is that when UE re-enters the network, it will tell NMAG the point where a streaming video has been played, and NMAG will calculate the length of the video segment during UE’s stay. After that, NMAG downloads the segment from video server. When the user is watching the streaming video program, the interrupted time will be significantly reduced, thus significantly increasing the quality of video services.

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Acknowledgement

The study was partially supported by Ministry of Science and Technology, Taiwan under the grant of MOST 105-2221-E-029 -017 -.

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Correspondence to Fang-Yie Leu .

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Kao, CH., Leu, FY. (2018). Predicting Video Stream Fragments in a Reactive Mode. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_71

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69810-6

  • Online ISBN: 978-3-319-69811-3

  • eBook Packages: EngineeringEngineering (R0)

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