DASH and DASH-VR Video Multicast Systems

doi:10.19729/j.cnki.1673-5188.2018.03.004

ZTE Communications ›› 2018, Vol. 16 ›› Issue (3): 15-22.DOI: 10.19729/j.cnki.1673-5188.2018.03.004

出版日期:2018-08-25 发布日期:2020-03-18

DASH and DASH-VR Video Multicast Systems

PARK Jounsup, HWANG Jenq-Neng

University of Washington, Seattle, WA 98195, USA

Online:2018-08-25 Published:2020-03-18
About author:PARK Jounsup (jsup517@uw.edu) received the B.S., and M.S. degrees in electronical engineering from Korea University, Seoul, Korea in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from the University of Washington, Seattle, USA in 2018. He is currently a postdoctoral research fellow with the Coordinated Science Lab. (CSL), University of Illinois at Urbana-Champaign, USA. From 2008 to 2012, he was with Cooperate Research Institute of Samsung Electro-Mechanics, Inc., Suwon, Korea. His research interests include multimedia networking, wireless communication, and AR/VR quality of experience.|HWANG Jenq-Neng (hwang@uw.edu) received his Ph.D. from the University of Southern California, USA in 1988. In 1989, he joined the Department of Electrical Engineering of the University of Washington, USA, becoming a full professor in 1999. He served as the Associate Chair for Research from 2003-2005 and again from 2011-2015. HWANG is currently the Associate Chair for Global Affairs and International Development. He has written more than 300 journal articles, conference papers and book chapters in the areas of multimedia signal processing and multimedia system integration and networking. He is the author of the textbook “Multimedia Networking: from Theory to Practice.” HWANG has a close working relationship with the industry on multimedia signal processing and multimedia networking.

摘要/Abstract

Abstract:

Multimedia data traffic occupies more than 70% of the Internet traffic and is still growing. On-demand video is already a major video content platform and private broadcast is getting more popular. In addition to this, virtual reality (VR) and augmented reality (AR) data traffic is increasing very fast. To provide the good quality of the multimedia service, huge amount of resource is needed because users’ service experience is usually proportional to the video rates they can receive. Moreover, the variation of the bandwidth also affects to the users’ experience, while more users want to use their mobile devices to see multimedia data by accessing the network through wireless links, such as Long Term Evolution (LTE) and Wi-Fi. Therefore, better spectral efficiency during wireless transmission and video rate adaptation to provide better quality to users are in great demand. Multicast system is one of the technologies that can improve the spectral efficiency drastically, and Dynamic Adaptive Streaming over HTTP (DASH) is one of the most popular video rate adaptation platforms. In this paper, we investigate the state-of-the-art video multicast technologies. LTE supports the multicast service through evolved Multimedia Broadcast Multicast Service (eMBMS) systems, and there are different algorithms to perform the video multicast along with adaptive video quality control. The algorithms include the procedure to decide the video rates, resource allocations, and user groupings. Moreover, we propose a novel approach to improve the quality of experience for DASH-VR video multicast systems.

Key words: VR, video multicast, LTE, eMBMS

. [J]. ZTE Communications, 2018, 16(3): 15-22.

PARK Jounsup, HWANG Jenq-Neng. DASH and DASH-VR Video Multicast Systems[J]. ZTE Communications, 2018, 16(3): 15-22.

图/表 6

参考文献 32

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CQI index	Modulation	Code rate (× 1024)	Efficiency
0	Out of range
1	QPSK	78	0.1523
2	QPSK	120	0.2344
3	QPSK	193	0.3770
4	QPSK	308	0.6016
5	QPSK	449	0.8770
6	QPSK	602	1.1758
7	16QAM	378	1.4766
8	16QAM	490	1.9141
9	16QAM	616	2.4063
10	64QAM	466	2.7305
11	64QAM	567	3.3223
12	64QAM	666	3.9023
13	64QAM	772	4.5234
14	64QAM	873	5.1152
15	64QAM	948	5.5547

CQI index	Modulation	Code rate (× 1024)	Efficiency
0	Out of range
1	QPSK	78	0.1523
2	QPSK	120	0.2344
3	QPSK	193	0.3770
4	QPSK	308	0.6016
5	QPSK	449	0.8770
6	QPSK	602	1.1758
7	16QAM	378	1.4766
8	16QAM	490	1.9141
9	16QAM	616	2.4063
10	64QAM	466	2.7305
11	64QAM	567	3.3223
12	64QAM	666	3.9023
13	64QAM	772	4.5234
14	64QAM	873	5.1152
15	64QAM	948	5.5547

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