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Bandwidth constraint is a real challenge for achieving and sustaining high quality mobile video streaming services. Diverse multipath transmission techniques are being investigated as possible solutions, since recent developments have enabled mobile devices users to receive video data simultaneously over multiple interfaces (e.g., LTE and WiFi). While some multipath protocols have been recently standardized for this purpose (e.g., MPTCP, SCTP), being network layer protocols they cannot properly handle challenging transmission scenarios subject to packet losses and congestion, such as lossy wireless channels. It is important to note that, usually, users just want to have easy access to high quality video content without being necessarily aware of the multipath delivery channels.In this thesis, we adopt the MPEG Media Transport (MMT) protocol to propose an improvement for multipath wireless video streaming solutions. MMT is an application layer protocol with inherent hybrid media delivery properties. We propose a novel Content-Aware and Path-Aware (CAPA) scheduling strategy for MMT, using full cooperation between network metrics and video content features. Our strategy aims to select the best channel for transmitting each video packet and provides better models to adaptively cope with unstable communication channel conditions and to improve the final user quality of experience (QoE).For the experimental evaluation, we used ns-3 DCE to simulate different realistic multipath network scenarios, which include channel error models and background traffic. We evaluate CAPA performance over heterogeneous wireless networks under congested network and wireless lossy network conditions, which are common network situations with big adverse effect on video quality. Our approach yields significant video quality improvement in both scenarios compared to Path-Aware strategy (PA) and a simple scheduling strategy for the traditional multipath MMT (ES). For congested network scenario, CAPA could increase PSNR, respectively, by up to 4.25 dB (12.97%), and 7.22 dB (20.58%) compared to PA and ES. It could also improve SSIM, respectively, by up to 0.033 (3.78%), and 0.102 (12.54%) compared to PA and ES. For wireless lossy network scenario, CAPA could increase PSNR, respectively, by up to 6.84 dB (20.30%), and 9.43 dB (30.32%) compared to PA and ES. Our proposed strategy could also reach improvement of SSIM, respectively, by up to 0.100 (12.72%), and 0.113 (14.23%) compared to PA and ES.We also evaluate videos with different bit rates in our environment under congested network condition to check the behaviour of our proposed strategy, and how it handles streaming of videos with different bit rates to provide sufficient perceived video quality. Furthermore, we have a basic validation of fairness for CAPA to confirm fair access to the available resources in all paths.
Bandwidth constraint is a real challenge for achieving and sustaining high quality mobile video streaming services. Diverse multipath transmission techniques are being investigated as possible solutions, since recent developments have enabled mobile devices users to receive video data simultaneously over multiple interfaces (e.g., LTE and WiFi). While some multipath protocols have been recently standardized for this purpose (e.g., MPTCP, SCTP), being network layer protocols they cannot properly handle challenging transmission scenarios subject to packet losses and congestion, such as lossy wireless channels. It is important to note that, usually, users just want to have easy access to high quality video content without being necessarily aware of the multipath delivery channels.In this thesis, we adopt the MPEG Media Transport (MMT) protocol to propose an improvement for multipath wireless video streaming solutions. MMT is an application layer protocol with inherent hybrid media delivery properties. We propose a novel Content-Aware and Path-Aware (CAPA) scheduling strategy for MMT, using full cooperation between network metrics and video content features. Our strategy aims to select the best channel for transmitting each video packet and provides better models to adaptively cope with unstable communication channel conditions and to improve the final user quality of experience (QoE).For the experimental evaluation, we used ns-3 DCE to simulate different realistic multipath network scenarios, which include channel error models and background traffic. We evaluate CAPA performance over heterogeneous wireless networks under congested network and wireless lossy network conditions, which are common network situations with big adverse effect on video quality. Our approach yields significant video quality improvement in both scenarios compared to Path-Aware strategy (PA) and a simple scheduling strategy for the traditional multipath MMT (ES). For congested network scenario, CAPA could increase PSNR, respectively, by up to 4.25 dB (12.97%), and 7.22 dB (20.58%) compared to PA and ES. It could also improve SSIM, respectively, by up to 0.033 (3.78%), and 0.102 (12.54%) compared to PA and ES. For wireless lossy network scenario, CAPA could increase PSNR, respectively, by up to 6.84 dB (20.30%), and 9.43 dB (30.32%) compared to PA and ES. Our proposed strategy could also reach improvement of SSIM, respectively, by up to 0.100 (12.72%), and 0.113 (14.23%) compared to PA and ES.We also evaluate videos with different bit rates in our environment under congested network condition to check the behaviour of our proposed strategy, and how it handles streaming of videos with different bit rates to provide sufficient perceived video quality. Furthermore, we have a basic validation of fairness for CAPA to confirm fair access to the available resources in all paths.
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