research-article

piStream: Physical Layer Informed Adaptive Video Streaming over LTE

Authors:

Li Erran LiAuthors Info & Claims

MobiCom '15: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

Pages 413 - 425

https://doi.org/10.1145/2789168.2790118

Published: 07 September 2015 Publication History

Abstract

Adaptive HTTP video streaming over LTE has been gaining popularity due to LTE's high capacity. Quality of adaptive streaming depends highly on the accuracy of client's estimation of end-to-end network bandwidth, which is challenging due to LTE link dynamics. In this paper, we present piStream, that allows a client to efficiently monitor the LTE basestation's PHY-layer resource allocation, and then map such information to an estimation of available bandwidth. Given the PHY-informed bandwidth estimation, piStream uses a probabilistic algorithm to balance video quality and the risk of stalling, taking into account the burstiness of LTE downlink traffic loads. We conduct a real-time implementation of piStream on a software-radio tethered to an LTE smartphone. Comparison with state-of-the-art adaptive streaming protocols demonstrates that piStream can effectively utilize the LTE bandwidth, achieving high video quality with minimal stalling rate.

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Cited By

Jin SZhu RHassan AZhu XZhang XMao ZQian FZhang Z(2024)OASISProceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3647610(45-55)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3625468.3647610
Flowers BKu YBaidya SDey S(2024)Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X CommunicationsIEEE Transactions on Vehicular Technology10.1109/TVT.2023.332206873:3(4051-4066)Online publication date: Mar-2024
https://doi.org/10.1109/TVT.2023.3322068
Lv GWu QTan QWang WLi ZXie G(2024)Accurate Throughput Prediction for Improving QoE in Mobile Adaptive StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2023.3313592(1-18)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3313592
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Index Terms

piStream: Physical Layer Informed Adaptive Video Streaming over LTE
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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cover image ACM Conferences

MobiCom '15: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

September 2015

638 pages

ISBN:9781450336192

DOI:10.1145/2789168

General Chairs:
Serge Fdida
UPMC/LIP6, France
,
Giovanni Pau
UPMC/LIP6, France
,
Program Chairs:
Sneha Kumar Kasera
University of Utah, USA
,
Heather Zheng
University of California, Santa Barbara, USA

Copyright © 2015 ACM.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Published: 07 September 2015

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MobiCom'15

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MobiCom'15: The 21th Annual International Conference on Mobile Computing and Networking

September 7 - 11, 2015

Paris, France

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MobiCom '15 Paper Acceptance Rate 38 of 207 submissions, 18%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

Jin SZhu RHassan AZhu XZhang XMao ZQian FZhang Z(2024)OASISProceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3647610(45-55)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3625468.3647610
Flowers BKu YBaidya SDey S(2024)Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X CommunicationsIEEE Transactions on Vehicular Technology10.1109/TVT.2023.332206873:3(4051-4066)Online publication date: Mar-2024
https://doi.org/10.1109/TVT.2023.3322068
Lv GWu QTan QWang WLi ZXie G(2024)Accurate Throughput Prediction for Improving QoE in Mobile Adaptive StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2023.3313592(1-18)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3313592
Li WLi XXu YYang YLu S(2024)MetaABR: A Meta-Learning Approach on Adaptative Bitrate Selection for Video StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2023.326008623:3(2422-2437)Online publication date: Mar-2024
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E JHe LZhao ZWang YChen GChen W(2024)AggDeliv: Aggregating Multiple Wireless Links for Efficient Mobile Live Video DeliveryIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621184(1173-1180)Online publication date: 20-May-2024
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