Joint Quality and Rate Adaptation Scheme for Wireless Video Streaming

Lee, Sunhun; Chung, Kwangsue

doi:10.1109/aina.2008.93

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…Khan et al (2008) proposed a CLD framework for rate adaptation in 802.11 networks. This rate adaptation approach is different from the other approaches reported in the literature (Choudhury & Gibson, 2007;Lee & Chung, 2008;Xia, Jin, & Hamdi, 2007). In Khan's solution, the rate is adapted to the changing channel state, application preferences and underlying MAC sublayer timing constraints.…”

Section: A Review Of Literaturementioning

confidence: 99%

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

Sarkar

2013

International Journal of Business Data Communications and Networking

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This paper reports on the design and evaluation of a class of cross-layer design (CLD) framework for improving the performance of 802.11-based wireless local area networks (WLANs). While various CLD approaches have been proposed for improving the performance of WLANs in recent years, the problem of efficient channel utilization, higher throughput, lower packet delay, and fairness has not been fully solved yet. To overcome the performance problems of 802.11, we propose a CLD framework which is based on a cross-layer medium access control (MAC) protocol called the channel-aware buffer unit multiple access (C-BUMA). In the framework, the radio propagation (i.e. physical layer) is combined with the MAC sub-layer to develop a robust cross-layer communication. By sharing channel information with the MAC protocol, the approach reduced unnecessary packet transmissions, and hence reduced bandwidth wastage and significantly improved the system performance. The proposed CLD method is evaluated by extensive simulation experiments. A comparison with 802.11 standards is provided. Results obtained show that the network achieves up to 13.5% higher throughput, 56% lower packet delay, 40% better fairness, and 38% lower packet dropping with the proposed CLD. We also found that the proposed CLD outperforms Pham’s CLD with respect to network throughput and packet dropping. The analysis and empirical results reported in this paper provide some insights into the design and evaluation of a CLD framework for improving data rate of 802.11 networks which may help researchers in this field to overcome the remaining design issues and challenges.

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Section: A Review Of Literaturementioning

confidence: 99%

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

Sarkar

2013

International Journal of Business Data Communications and Networking

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“…To this end, some works have investigated the cross-layer optimisation frameworks in which the AL-FEC redundancy is adjusted depending on the selected physical layer modulation and coding schemes (MCSs) in order to provide reliable video streaming applications over unreliable wireless channels (Haratcherev et al, 2006;Van der Shaar and Turaga, 2007;Lee and Chung, 2008;Choi et al, 2014). However, multicast streaming of video to multiple users have additional challenges since each multicast user has unique channel condition.…”

Section: Introductionmentioning

confidence: 99%

Reliable Video Multicasting over WLANs

Bulut¹

2020

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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As is known reliable multicast transmission is not addressed in WLANs. Multicast packets are sent over wireless channels without using medium access control (MAC) layer automatic repeat request (ARQ) mechanism. Therefore, packet error rates will be very high. This paper investigates reliable video multicasting, which became a very popular application, over WLANs. To this end, application layer forward error correction (AL-FEC) codes based on Raptor Q can be used as a means to provide reliable delivery of the multicast video encoded with the H.264/Advanced video coding (AVC) codec. Since video streaming applications have very stringent Quality of Service requirements (low delay and error free transmission of packets), the Raptor Q and the H.264/AVC parameters have to be determined depending on the QoS of the video. Therefore, in this work an advanced cross-layer simulator was developed to analyse the performance of the end-to-end system. Simulation results show that using AL-FEC significantly improve the received video quality, i.e., the mean peak signal to noise ratio (PSNR) is improved over 34 dB. Further that it is shown that frequently inserting intra-frame results in poor video quality. Therefore, it is suggested to send intra frame at longer intervals.

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“…Traditional adaptation schemes are based on network quality of service (QoS) parameters such as delay, jitter and packet loss, to select the most suitable transmission rate which matches the channel conditions [1,2]. A new crosslayer design for video streaming over wireless networks is proposed in [3], which jointly considers the application and the lower layers without taking QoE into account and just adapts its rate according to the channel conditions of the sender. In [4] the authors propose a bitrate control scheme based on congestion over the Internet.…”

Section: Introductionmentioning

confidence: 99%

A QoE-based sender bit rate adaptation scheme for real-time video transmission in wireless networks

Qian

Wang²,

Zhu

2013

2013 6th International Congress on Image and Signal Processing (CISP)

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Adaptive video transmission schemes are important for real-time video services in wireless networks due to dynamic and volatile wireless environment. Traditional adaptation schemes always take network status of the sender or perceived quality of receiver into consideration, which are rather significant for endto-end video transmission. This paper proposes a novel Quality of Experience (QoE) based end-to-end adaptation scheme for wireless video transmission, which allows the sender to intelligently adapt sender bit rate (SBR) to the dynamic network conditions and perceived quality, as well as the content type. Also it is implemented and tested in an open Android-based test platform. Experimental results show that the proposed scheme can adapt to the dynamic wireless environment to provide the video streaming service with better QoE for users.

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Joint Quality and Rate Adaptation Scheme for Wireless Video Streaming

Cited by 12 publications

References 9 publications

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

Reliable Video Multicasting over WLANs

A QoE-based sender bit rate adaptation scheme for real-time video transmission in wireless networks

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