Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design

Fuente: arXiv
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Auteurs principaux: Gao, Lin, Tang, Ming, Pang, Haitian, Huang, Jianwei, Sun, Lifeng
Format: Preprint
Publié: 2018
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author Gao, Lin
Tang, Ming
Pang, Haitian
Huang, Jianwei
Sun, Lifeng
author_facet Gao, Lin
Tang, Ming
Pang, Haitian
Huang, Jianwei
Sun, Lifeng
contents Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a multi-user wireless scenario, however, existing single-user based bitrate adaptation methods may fail to provide the desirable QoE, due to lack of consideration of multi-user interactions (such as the multi-user interferences and network congestion). In this work, we propose a novel user cooperation framework based on user-provided networking for multi-user mobile video streaming over wireless cellular networks. The framework enables nearby mobile video users to crowdsource their cellular links and resources for cooperative video streaming. We first analyze the social welfare performance bound of the proposed cooperative streaming system by introducing a virtual time-slotted system. Then, we design a low complexity Lyapunov-based online algorithm, which can be implemented in an online and distributed manner without the complete future and global network information. Numerical results show that the proposed online algorithm achieves an average 97% of the theoretical maximum social welfare. We further conduct experiments with real data traces, to compare our proposed online algorithm with the existing online algorithms in the literature. Experiment results show that our algorithm outperforms the existing algorithms in terms of both the achievable bitrate (with an average gain of 20% - 30%) and social welfare (with an average gain of 10% - 50%).
format Preprint
id arxiv_https___arxiv_org_abs_1805_09249
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design
Gao, Lin
Tang, Ming
Pang, Haitian
Huang, Jianwei
Sun, Lifeng
Networking and Internet Architecture
Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a multi-user wireless scenario, however, existing single-user based bitrate adaptation methods may fail to provide the desirable QoE, due to lack of consideration of multi-user interactions (such as the multi-user interferences and network congestion). In this work, we propose a novel user cooperation framework based on user-provided networking for multi-user mobile video streaming over wireless cellular networks. The framework enables nearby mobile video users to crowdsource their cellular links and resources for cooperative video streaming. We first analyze the social welfare performance bound of the proposed cooperative streaming system by introducing a virtual time-slotted system. Then, we design a low complexity Lyapunov-based online algorithm, which can be implemented in an online and distributed manner without the complete future and global network information. Numerical results show that the proposed online algorithm achieves an average 97% of the theoretical maximum social welfare. We further conduct experiments with real data traces, to compare our proposed online algorithm with the existing online algorithms in the literature. Experiment results show that our algorithm outperforms the existing algorithms in terms of both the achievable bitrate (with an average gain of 20% - 30%) and social welfare (with an average gain of 10% - 50%).
title Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design
topic Networking and Internet Architecture
url https://arxiv.org/abs/1805.09249