|Search by item||HOME > Access full text > Search by item|
JBE, vol. 23, no. 6, pp.813-823, November, 2018
Segment Scheduling Scheme for Efficient Bandwidth Utilization of UHD Contents Streaming in Wireless Environment
Heekwang Kim and Kwangsue Chung
C.A E-mail: email@example.com
UHD content is characterized by higher bandwidth requirements to provide seamless playback. The existing HTTP adaptive streaming scheme periodically requests video segment of lower quality than the available bandwidth in the steady state. In the steady state, the On-Off pattern is repeated due to the difference of the available bandwidth and the encoding rate of the content. And the repeated Off interval is causing the problem that can not efficiently use the available bandwidth. In the wireless environment where the delay and loss rate are higher with large bandwidth fluctuations, this problem is exacerbated because the available bandwidth is estimated inaccurately. Therefore, in this paper, we propose a segment scheduling scheme for efficient bandwidth utilization of UHD contents streaming in wireless environment. Proposed scheme is a group segment that simultaneously reqeusts multiple segments in one request message in order to reduce frequency of OFF interval. Through simulation, Our scheme improves bandwidth utilization.
Keyword: Dynamic Adaptive Streaming over HTTP (DASH), Segment Scheduling, Wireless Network, Video Streaming, UHD Content Streaming
 O. Oyman, and S. Singh, “Quality of Experience for HTTP Adaptive Streaming Services,” IEEE Communications Magazine, Vol.50, No.4, pp.20-27, Apr. 2012.
 Microsoft, Smooth Streaming, [Online]. Available: http://www.iis.net/ downloads/smooth-streaming/
 Apple, HTTP Live Streaming, [Online]. Available: http://developer. apple.com/rescources/http-streaming/
 Adobe, HTTP Dynamic Streaming, [Online]. Available: http://www.adobe. com/products/httpdyna-micstreaming/
 T. Stockhammer, “Dynamic Adaptive Streaming over HTTP- Standards and Design Principles,” Proceeding of the ACM Conference on Multimedia Systems, San Jose, USA, pp. 133-144, 2011.
 T. Y. Huang, N. Handigol, B. Heller, N. McKeown, and R. Johari, “Confused, Timid, and Unstable: Picking a Video Streaming Rate is Hard,” Proceeding of the ACM Conference on Multimedia Systems, Boston, USA, pp. 225-238, 2012.
 R. K. P. Mok, W. Li, and R. K. C. Chang, “IRate: Initial Video Bitrate Selection System for HTTP Streaming,” IEEE Journal on Selected Areas in Communications, Vol.34, No.6, pp.1914-1928, Apr. 2016.
 C. Liu, I. Bouazizi, and M. Gabbouj, “Rate Adaptation for Adaptive HTTP Streaming,” Proceeding of the ACM Conference on Multimedia Systems, San Jose, USA, pp. 169-174, 2011.
 ITU-R Recommendation BT.2020, “Parameter Values for UHD System for Production and International Programme Exchange,” Aug. 2012.
 J. Kua, G. Armitage, and P. Branch, “A Survey of Rate Adaptation Techniques for Dynamic Adaptive Streaming over HTTP,” IEEE Communications Surveys & Tutorials, Vol.19, No.1, pp.1842-1866, Mar. 2017.
 H. Du, Q. Zheng, W. Zhang and X. Gao, “A Bandwidth Variation Pattern-Differentiated Rate Adaptation for HTTP Adaptive Streaming Over and LTE Cellular Network,” IEEE Access, Vol.6, pp.9554-9569, Dec. 2017.
 S. Bae, D. Jang, and K. Park, “Why Is HTTP Adaptive Streaming So Hard?,” Proceeding of Asia-Pacific Workshop on Systems, Tokyo, Japan, 2015.
 Z. Li, X. Zhu, J. Gahm, R. Pan, H. Hu, A. C. Began, and D. Oran, “Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale,” IEEE Journal on Selected Areas in Communications, Vol.32, No.4, pp.719-733, Apr. 2014.
 T. Huang, R. Johari, N. McKeown, M. Trunnell, and M. Waston, “A Buffer-based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service,” Proceeding of ACM Conference on SIGCOMM, Chicago, USA, pp. 187-198, 2014.