@techreport{TD:101683,
	att_abstract={{The design of an adaptive video client for mobile users is
challenged by the frequent changes in operating conditions.
We present OSCAR, a novel adaptive streaming algorithm
whose adaptation decisions are optimized to avoid stalls
while maintaining high video quality. Our performance evaluation,
using real video and channel traces from both 3G and
4G networks, shows that OSCAR achieves the highest percentage
of stall-free sessions while maintaining a high quality
video in comparison to the state-of-the-art algorithms.}},
	att_authors={vg7777, eh679n, rj2124, rs5419},
	att_categories={C_BB.7, C_NSS.7, C_CCF.8, C_IIS.8, C_IIS.13},
	att_copyright={{ACM}},
	att_copyright_notice={{(c) ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM MoVid 2016 (Mobile Video Workshop) {{, 2016-05-10}}.}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={cellular,  video,  DASH,  adaptive},
	att_techdoc={true},
	att_techdoc_key={TD:101683},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:101683_DS1_2016-04-14T14:13:49.260Z.pdf},
	author={Vijay Gopalakrishnan and Emir Halepovic and Rittwik Jana and Rakesh Sinha and Ahmed H. Zahran and Jason J Quinlan and Cormac J. Sreenan and Darijo Raca},
	institution={{ACM MoVid 2016 (Mobile Video Workshop)}},
	month={May},
	title={{OSCAR: An Optimized Stall-Cautious Adaptive Bitrate Streaming Algorithm for Mobile Networks}},
	year=2016,
}