Tiled-DASH VR Video Streaming: Design and Implementation

TY - CONF

T1 - Tiled-DASH VR Video Streaming

T2 - 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

AU - Hu, Fenghe

AU - Zhou, Hui

AU - Deng, Yansha

AU - Nallanathan, Arumugam

AU - Aghvami, Hamid

N1 - Funding Information: This work was supported by Engineering and Physical Sciences Research Council (EPSRC), UK., under Grant EP/W004348/1. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - Supporting virtual reality (VR) via cellular networks attracts increasing attention and is a promising use case in the 5G and 6G networks. to achieve this, it calls for a bandwidth-efficient video transmission protocol, where the tiled-based virtual reality video transmission with dynamic adaptive streaming over HTTP (tiled-DASH) is recommended by 3GPP. It introduces complicated system model crossing transmission and video processing subject areas. to investigate this, we build a tiled-DASH testbed with motion prediction, perform the traffic modeling, analyze the delay and bandwidth usage, and measure the performance of multiple prediction algorithms. The experimental results identify the trade-off among prediction horizontal, segment length, and bandwidth usage, which fails to be captured by literature.

AB - Supporting virtual reality (VR) via cellular networks attracts increasing attention and is a promising use case in the 5G and 6G networks. to achieve this, it calls for a bandwidth-efficient video transmission protocol, where the tiled-based virtual reality video transmission with dynamic adaptive streaming over HTTP (tiled-DASH) is recommended by 3GPP. It introduces complicated system model crossing transmission and video processing subject areas. to investigate this, we build a tiled-DASH testbed with motion prediction, perform the traffic modeling, analyze the delay and bandwidth usage, and measure the performance of multiple prediction algorithms. The experimental results identify the trade-off among prediction horizontal, segment length, and bandwidth usage, which fails to be captured by literature.

UR - http://www.scopus.com/inward/record.url?scp=85146415859&partnerID=8YFLogxK

U2 - 10.1109/ICECCME55909.2022.9988103

DO - 10.1109/ICECCME55909.2022.9988103

M3 - Paper

AN - SCOPUS:85146415859

Y2 - 16 November 2022 through 18 November 2022

ER -