@inproceedings{cda99b8c40ae4c7486d39259ee6195cb,
title = "Caching policy optimization for rate adaptive video streaming",
abstract = "Femtocaching is an effective and low-cost way to address the explosively increased wireless traffic demand driven by video-on-demand (VoD) streaming. Most existing caching policies are optimized for file downloading service, which are not necessarily optimal for the quality of experience of users requesting VoD service. In this paper, the caching policy for VoD service is investigated, where the adaptation of video rate is taken into account. Simulation results demonstrate the performance gain of the proposed caching policies optimized for VoD service over that optimized for file downloading service.",
keywords = "Femtocaching, QoE, Video-on-demand",
author = "Huiting Su and Shenqian Han and Chenyang Yang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 ; Conference date: 07-12-2016 Through 09-12-2016",
year = "2017",
month = apr,
day = "19",
doi = "10.1109/GlobalSIP.2016.7905935",
language = "英语",
series = "2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "713--717",
booktitle = "2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings",
address = "美国",
}