QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE

Essaili, Ali El; Schroeder, Damien; Steinbach, Eckehard; Staehle, Dirk; Shehada, Mohammed

doi:10.1109/tcsvt.2014.2367355

Cited by 98 publications

(78 citation statements)

References 41 publications

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“…• QTRMA in [15]: It investigated QoE optimization approaches for adapting the adaptive HTTP video delivery. They considered the client buffer status and proposed a novel playback buffer-dependent approach that determines for each client the streaming rate for future video segments according to its buffer time and the achievable QoE under current radio conditions.…”

Section: Resultsmentioning

confidence: 99%

“…Considering both current channel conditions and the packet delay makes MLWDF more appropriate for real-time applications. The authors in [12][13][14][15][16][17] paid their attention to DASH service optimization by determining the segment adaptation and resource allocation scheme. The authors in [13] presented a system framework description of DASH service and mentioned many key factors that we should consider in DASH service optimization.…”

Section: Related Workmentioning

confidence: 99%

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Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

2017

J Image Video Proc.

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With the development of the video encoding and wireless communication technologies, DASH (Dynamic Adaptive Streaming over HTTP) services have an increasing and great share of all the mobile services. However, we find some problems which still need to be addressed for DASH service optimization: (1) the limitation of the video segment representations cannot keep pace with the change of wireless channel states; (2) the characteristics of the video transmission have been not fully utilized in current DASH services; and (3) long interruption time will yield poor QoE (Quality of Experience). To solve these problems, we build a new transmission architecture by modifying the traditional TCP transmission flow. We first add a TCP (Transmission Control Protocol) proxy responsible for discarding the expiry packets automatically before putting them into the TCP sending window and then build a "ACK (acknowledgement) reconstruction module" to reconstruct the received ACK for concealing the packets discarded by the packet scheduler. Based on the new framework, we explore the interdependence among all the packets from the encoder to indicate the importance of each packet and update the interdependence relationship of every scheduling period based on the feedback ACK information. At MAC (Media Access Control) layer, a buffer status estimation module is employed to estimate the client buffer and playback information, which can be used to calculate the packet urgency. Then, a cross-layer design, which consists of an application layer of media server and client, TCP layer, MAC layer, and physical layer, is formulated and the packet scheduling and resource allocation can be jointly optimized. At client, through the analysis of the status of client buffer and MAC queue, an adaptive segment request scheme is developed to determine how and when to send the segment request. Simulation results show that the proposed algorithms can efficiently improve the received video quality as well as the playback continuity compared with other existing algorithms.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

2017

J Image Video Proc.

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“…However, efforts for improving users' multimedia streaming experience are focused on the content distribution and the client side (e.g., adaptation logics). Despite the growing interest in studying the provider's side of the problem [15,2,21,5], only few works [15,16] consider the impact of different representation sets used. Remaining works usually consider one pre-encoded recommended representation set for their evaluations.…”

Section: Related Workmentioning

confidence: 99%

A comparative study of DASH representation sets using real user characteristics

Kreuzberger

Rainer

Hellwagner

et al. 2016

Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video

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Adaptive streaming strategies over HTTP allow to serve heterogeneous video users with varying demands. By providing different encoded versions (representations) of each video sequence on the server, clients have the freedom to select a representation that best fits their needs. While the topic of selecting a representation based on a pre-defined set is covered very well in the literature, the problem of how to properly select the representation set stored at the main server is usually an overlooked challenge. In this work, we provide an analysis on how the choice of representations on the server impacts the clients' quality. This is achieved by conducting NS-3 based simulations with a total of 10k users and up to 300 concurrent DASH clients for several recommended sets (e.g., Netflix, YouTube, and Apple), and measuring the experienced quality over a timespan of 24 hours. The results show that under heavy load (at peak hours) there is still room for improvement.

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“…The works in the first category, e.g., see [4], typically rely on elements that monitor the client requests and the network link usage, and transmit information to the client controllers in order to guarantee fairness among the users. In the second category, the authors of [5] for example propose to have network elements performing a rate allocation among the video flows and reserving a defined bandwidth to each client. When the client controller estimates the download bandwidth, the estimation then matches the value of the reserved bandwidth, which eventually leads to a consistent bitrate selection.…”

Section: Introductionmentioning

confidence: 99%

“…Some proposals use a policy that takes into account the perceived video quality of the different videos, e.g., [5,6], while other works are content agnostic and ignore video quality metrics, e.g., [4]. The latter methods are in general easier to implement, since they do not require any information about the video content, i.e., all videos have the same priority.…”

Section: Introductionmentioning

confidence: 99%

Price-Based Controller for Utility-Aware HTTP Adaptive Streaming

2017

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HTTP Adaptive Streaming (HAS) permits to efficiently deliver video to multiple heterogenous users in a fully distributed way. This might however lead to unfair bandwidth utilization among HAS users. Therefore, network-assisted HAS systems have been proposed where network elements operate alongside with the clients adaptation logic for improving users satisfaction. However, current solutions rely on the assumption that network elements have full knowledge of the network status, which is not always realistic. In this work, we rather propose a practical network-assisted HAS system where the network elements infer the network link congestion using measurements collected from the client endpoints, the congestion level signal is then used by the clients to optimize their video data requests. Our novel controller maximizes the overall users satisfaction and the clients share the available bandwidth fairly from a utility perspective, as demonstrated by simulation results obtained on a network simulator.keywords-HTTP adaptive streaming, Pricing and resource allocation

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QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE

Cited by 98 publications

References 41 publications

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

A comparative study of DASH representation sets using real user characteristics

Price-Based Controller for Utility-Aware HTTP Adaptive Streaming

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