QoE-Based MEC-Assisted Predictive Adaptive Video Streaming for On-Road Driving Scenarios

被引：4

作者：

Yang, Wanting ^{[1
]}

Chi, Xuefen ^{[1
]}

Zhao, Linlin ^{[1
]}

Xiong, Zehui ^{[2
]}

机构：

[1] Jilin Univ, Dept Commun Engn, Changchun 130012, Peoples R China

[2] Singapore Univ Technol & Design, Pillar Informat Syst Technol & Design, Singapore 487372, Singapore

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Streaming media; Quality of experience; Video recording; Quality assessment; Servers; Measurement; Wireless sensor networks; Adaptive video streaming; PDS-DQN; QoE; mobility-aware; MEC;

D O I：

10.1109/LWC.2021.3106945

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter studies a multi-access edge computing assisted predictive adaptive video streaming scheme for on-road driving scenarios based on deep reinforcement learning (DRL). By judiciously designing the state and the reward, the user movement awareness is integrated into our scheme, which enables it to make proactive decisions that can maximize the long-term quality of experience. To enhance the learning efficiency, we introduce the post-decision state into DRL. The effectiveness of the scheme has been validated by simulation results.

引用

页码：2552 / 2556

页数：5

共 9 条

[1] Robust Long-Term Predictive Adaptive Video Streaming Under Wireless Network Uncertainties [J].

Atawia, Ramy ;

Hassanein, Hossam S. ;

Noureldin, Aboelmagd .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (02) :1374-1388

[2] Distributed and Autonomous Resource and Power Allocation for Wireless Networks [J].

Burchardt, Harald ;

Sinanovic, Sinan ;

Bharucha, Zubin ;

Haas, Harald .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (07) :2758-2771

[3] Measurement of Quality of Experience of Video-on-Demand Services: A Survey [J].

Juluri, Parikshit ;

Tamarapalli, Venkatesh ;

Medhi, Deep .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (01) :401-418

[4] Energy-Efficient Proactive Caching for Adaptive Video Streaming via Data-Driven Optimization [J].

Li, Liang ;

Shi, Dian ;

Hou, Ronghui ;

Chen, Rui ;

Lin, Bin ;

Pan, Miao .

IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (06) :5549-5561

[5] Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming [J].

Liu, Dong ;

Zhao, Jianyu ;

Yang, Chenyang ;

Hanzo, Lajos .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (06) :3734-3748

[6] Adaptive Video Streaming With Edge Caching and Video Transcoding Over Software-Defined Mobile Networks: A Deep Reinforcement Learning Approach [J].

Luo, Jia ;

Yu, F. Richard ;

Chen, Qianbin ;

Tang, Lun .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (03) :1577-1592

[7] Edge Computing Assisted Adaptive Mobile Video Streaming [J].

Mehrabi, Abbas ;

Siekkinen, Matti ;

Yla-Jaaski, Antti .

IEEE TRANSACTIONS ON MOBILE COMPUTING, 2019, 18 (04) :787-800

[8] Edge Computing Assisted Joint Quality Adaptation for Mobile Video Streaming [J].

Rahman, Waqas Ur ;

Hong, Choong Seon ;

Huh, Eui-Nam .

IEEE ACCESS, 2019, 7 :129082-129094

[9]

Zhai CT, 2019, INT CONF MANIP MANU, P1, DOI [10.1109/3m-nano46308.2019.8947388, 10.1109/3M-NANO46308.2019.8947388]

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