MMOct 13, 2021

Impacts of Device Caching of Content Fractions on Expected Content Quality

arXiv:2110.06520v1
Originality Incremental advance
AI Analysis

This is an incremental improvement for video streaming systems that optimizes caching policies based on content fractions.

The paper tackles the problem of improving expected video quality by caching fractions of video content rather than entire files, showing that this approach increases quality especially when channel conditions allow cooperation with nearby base stations or helpers.

This paper explores caching of fractions of a video content, not caching of an entire content, to increase the expected video quality. We first show that the highest-quality content is better to be cached and propose the caching policy of video chunks having different qualities. Our caching policy utilizes the characteristics of video contents that video files can be encoded into multiple versions with different qualities, each file consists of many chunks, and chunks can have different qualities. Extensive performance evaluations are conducted to show that caching of content fractions, rather than an entire content, can improve the expected video quality especially when the channel conditions is sufficiently good to cooperate with nearby BS or helpers.

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