Adaptive low-delay video streaming in heterogeneous wireless networks using MPRTP
| Autor: | Adam Wolisz, Ekaterina Pakulova, Konstantin Miller |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science Wireless network Network packet Real-time computing Heterogeneous wireless network 020206 networking & telecommunications 02 engineering and technology Network interface Video quality Scalable Video Coding Video tracking Bit rate 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality of experience business Computer network |
| Zdroj: | IWCMC |
| DOI: | 10.1109/iwcmc.2017.7986255 |
| Popis: | As computationally powerful mobile devices with high-resolution screens have become ubiquitous, network operators are facing the problem of coping with the huge traffic load caused by various video streaming applications. One approach to mitigate the problem is to dynamically offload parts of the traffic to Wi-Fi networks that offer higher data rates at lower costs. Offloading can be performed in the most seamless way by deploying multi-path transport protocols that incorporate mechanisms to distribute the load over the available network interfaces. In the present work, we develop such mechanisms that allow to efficiently transmit a low-delay live video stream over multiple paths. We propose a cross-layer solution that operates on the transport and application layers. It consists of two components. The Sender-Side Path Scheduling component allows to use multiple network interfaces for concurrent transmission of video data in order to achieve bandwidth aggregation, and packets loss reduction. The Sender-Side Video Adaptation component dynamically adapts the video bit rate to the network conditions. The joint operation of these two components allows to increase the Quality of Experience of the user by providing a smooth playback at the best possible video quality level with a minimum of playback interruptions and corrupted video frames. In order to efficiently adapt the video quality to the network conditions, our proposed solution leverages Scalable Video Coding. We prototyped the proposed solution using the Multipath Real-Time Transport Protocol, and evaluated it w.r.t. the achieved Quality of Experience. We observed that it allows to reduce the amount of playback interruptions by up to 50%, as compared to two baseline approaches. |
| Databáze: | OpenAIRE |
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