TY - GEN
T1 - An Experimental Evaluation of 360-Degree ABR Video Streaming over mmWave Wireless Links
AU - Shippey, Sam
AU - Srinivasan, Suresh
AU - Dang, Huu Phuoc
AU - Aryafar, Ehsan
AU - Chakareski, Jacob
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Video streaming is a key technology for the envisioned Metaverse. Present wireless technologies have limited throughput, which limits the quality of video content (e.g., 360° video) that can be delivered to mobile clients. To address this challenge, wireless carriers have begun to deploy millimeter wave (mmWave) networks, which have high throughput potentially in the multi-gigabit per second range. However, mmWave wireless is highly sensitive to blockage and mobility that induce dramatic variations in link-level throughput. This can in turn penalize the video quality of experience delivered to clients. This adverse effect can potentially be mitigated by the use of adaptive bitrate (ABR) techniques that dynamically adjust the bitrate of the video content based on network conditions and device capabilities. However, existing studies of ABR video streaming performance over mmWave wireless links assume channels with low throughput, use simulations (with synthetic or measured traces) for performance evaluation, and/or conduct large scale experiments that mask client performance at the individual level. In this paper, we develop a testbed to experimentally assess 360° video ABR performance of three prominent methods over high capacity (high throughput) mmWave wireless links for a variety of channel conditions. We show that the fundamental tradeoff between stalls and visual quality becomes much sharper at higher throughput, and that existing ABR methods do not achieve substantial gains in one without losses in the other. For instance, we find that complex ABR strategies which outperform simpler strategies in terms of visual QoE also increase stall time from less than 0.5 seconds to nearly 4.
AB - Video streaming is a key technology for the envisioned Metaverse. Present wireless technologies have limited throughput, which limits the quality of video content (e.g., 360° video) that can be delivered to mobile clients. To address this challenge, wireless carriers have begun to deploy millimeter wave (mmWave) networks, which have high throughput potentially in the multi-gigabit per second range. However, mmWave wireless is highly sensitive to blockage and mobility that induce dramatic variations in link-level throughput. This can in turn penalize the video quality of experience delivered to clients. This adverse effect can potentially be mitigated by the use of adaptive bitrate (ABR) techniques that dynamically adjust the bitrate of the video content based on network conditions and device capabilities. However, existing studies of ABR video streaming performance over mmWave wireless links assume channels with low throughput, use simulations (with synthetic or measured traces) for performance evaluation, and/or conduct large scale experiments that mask client performance at the individual level. In this paper, we develop a testbed to experimentally assess 360° video ABR performance of three prominent methods over high capacity (high throughput) mmWave wireless links for a variety of channel conditions. We show that the fundamental tradeoff between stalls and visual quality becomes much sharper at higher throughput, and that existing ABR methods do not achieve substantial gains in one without losses in the other. For instance, we find that complex ABR strategies which outperform simpler strategies in terms of visual QoE also increase stall time from less than 0.5 seconds to nearly 4.
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U2 - 10.1109/MetaCom62920.2024.00030
DO - 10.1109/MetaCom62920.2024.00030
M3 - Conference contribution
AN - SCOPUS:85211454387
T3 - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
SP - 113
EP - 120
BT - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
Y2 - 12 August 2024 through 14 August 2024
ER -