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QoS-based active dropping mechanism for NGN video streaming optimization

Published online by Cambridge University Press:  03 October 2014

Chi-Yuan Chen ,
Tin-Yu Wu ,
Wei-Tsong Lee ,
Han-Chieh Chao  and
Jen-Chun Chiang
Chi-Yuan Chen
Affiliation:
Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan, ROC e-mail: [email protected]
Tin-Yu Wu
Affiliation:
Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan, ROC e-mail: [email protected], [email protected]
Wei-Tsong Lee
Affiliation:
Department of Electrical Engineering, Tamkang University, Taipei, Taiwan, ROC e-mail: [email protected], [email protected]
Han-Chieh Chao
Affiliation:
Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan, ROC e-mail: [email protected], [email protected]
Jen-Chun Chiang
Affiliation:
Department of Electrical Engineering, Tamkang University, Taipei, Taiwan, ROC e-mail: [email protected], [email protected]
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Abstract

Video streaming over mobile wireless networks is getting popular in recent years. High video quality relies on large bandwidth provisioning, however, it decreases the number of supported users in wireless networks. Thus, effective bandwidth utilization becomes a crucial issue in wireless network as the bandwidth resource in wireless environment is precious and limited. The NGN quality of service mechanisms should be designed to reduce the impact of traffic burstiness on buffer management. For this reason, we propose an active dropping mechanism to deal with the effective bandwidth utilization in this paper. We use scalable video coding extension of H.264/AVC standard to provide different video quality for users of different levels. In the proposed dropping mechanism, when the network loading exceeds the threshold, the dropping mechanism starts to drop data of the enhancement layers for users of low service level. The dropping probability alters according to the change in network loading. With the dropping mechanism, the base station increases the system capability and users are able to obtain better service quality when the system is under heavy loading. We also design several methods to adjust the threshold value dynamically. By using the proposed mechanism, better quality can be provided when the network is in congestion.

Type
Articles
Information
The Knowledge Engineering Review , Volume 29 , Issue 4: Trends in high-performance computing and communications for ubiquitous computing , September 2014 , pp. 484 - 495
Copyright
© Cambridge University Press, 2014 

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References

Bajic, I. V., Tickoo, O., Balan, A., Kalyanaraman, S. & Woods, J. W. 2003. Integrated end-to-end buffer management and congestion control for scalable video communications. In Proceedings of 2003 International Conference on Image Processing (ICIP 2003), 3, 257–260.Google Scholar
Chakchai, S., Jain, R. & Tamimi, A. K. 2009. Scheduling in IEEE 802.16e mobile WiMAX networks: key issues and a survey. IEEE Journal on Selected Areas in Communications 27(2), 156–171.Google Scholar
Chang, K. D., Chen, C. Y., Chen, J. L. & Chao, H. C. 2010. Challenges to next generation services in IP multimedia subsystem. Journal of Information Processing Systems 6(2), 129–146.Google Scholar
Chen, C. Y., Wu, T. Y., Huang, Y. M. & Chao, H. C. 2008. An efficient end-to-end security mechanism for IP multimedia subsystem. Computer Communications 31(18), 4259–4268.Google Scholar
Cheng, S. T., Hsieh, M. T. & Chen, B. F. 2010. Fairness-based scheduling algorithm for time division duplex mode IEEE 802.16 broadband wireless access systems. IET Communications 4(9), 1065–1072.Google Scholar
Chuang, H. C., Huang, C. Y. & Chiang, T. 2004. On the buffer dynamics of scalable video streaming over wireless network. In Proceedings of IEEE 60th Vehicular Technology Conference (VTC2004-Fall) 4, 2582–2586.Google Scholar
Cicconetti, C., Lenzini, L., Mingozzi, E. & Eklund, C. 2006. Quality of service support in IEEE 802.16 networks. IEEE Network 20(2), 50–55.CrossRefGoogle Scholar
Deng, D. J., Chang, L. W., Wu, T. Y. & Hu, C. C. 2008. Guaranteed QoS provision scheduling mechanism for CBR traffic in IEEE 802.16 BWA systems. Journal of Internet Technology 9(4), 403–409.Google Scholar
Huang, C., Juan, H. H., Lin, M. S. & Chang, C. J. 2007. Radio resource management of heterogeneous services in mobile WiMAX systems. IEEE Wireless Communications 14(1), 20–26.Google Scholar
IEEE 802.16-2004 2004. IEEE standard for local and metropolitan area networks part 16: air interface for fixed broadband wireless access systems. In IEEE.Google Scholar
IEEE 802.16e-2005 2005. IEEE standard for local and metropolitan area networks part 16: air interface for fixed and mobile broadband wireless access systems, amendment 2: physical and medium access control layers for combined fixed and mobile operation in licensed bands and corrigendum 1. In IEEE.Google Scholar
ITU-T 2006. Functional requirements and architecture for resource and admission control in next generation networks. In ITU-T Recommendation Y.2111.Google Scholar
Kim, T. & Lim, J. T. 2010. Quality of service supporting downlink scheduling scheme in worldwide interoperability for microwave access wireless access systems. IET Communications 4(1), 32–38.Google Scholar
Mai, Y. T., Yang, C. C. & Lin, Y. H. 2007. Cross-layer QoS framework in the IEEE 802.16 Network. In Proceedings of The 9th International Conference on Advanced Communication Technology 3, 2090–2095.Google Scholar
Markopoulou, A. & Han, S. 2001. Transmitting scalable video over a DiffServ network. http://www.stanford.edu/class/ee368c/Projects/project06/index.html.Google Scholar
Reichel, J., Schwarz, H. & Wien, M. 2006. Joint scalable video model JSVM-5. In Doc. JVTR202.Google Scholar
Schierl, T., Hellge, C., Mirta, S., Gruneberg, K. & Wiegand, T. 2007. Using H.264/AVC-based scalable video coding (SVC) for real time streaming in wireless IP networks. In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2007), 3455–3458.Google Scholar
Schwarz, H., Marpe, D. & Wiegand, T. 2007. Overview of the scalable video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 17(9), 1103–1120.Google Scholar
She, J., Hou, F. & Ho, P. H. 2007. An application-driven MAC-layer buffer management with active dropping for real-time video streaming in 802.16 networks. In Proceedings of 21st International Conference on Advanced Information Networking and Applications (AINA '07), 451–458.Google Scholar
Wiegand, T., Sullivan, G. J., Reichel, J., Schwarz, H. & Wien, M. 2006. Joint draft 5: scalable video coding. In Doc. JVTR201.Google Scholar
Wiegand, T., Sullivan, G. J., Reichel, J., Schwarz, H. & Wien, M. 2007. Joint draft 9 of SVC amendment (revision 2). In Doc. JVTV201.Google Scholar
Zhang, Y., Huangfu, W., Xu, J., Li, K. & Xu, C. 2007. Integrated rate control and buffer management for scalable video streaming. In IEEE International Conference on Multimedia & Expo (ICME), China.CrossRefGoogle Scholar
Zhou, L., Geller, B., Wang, X., Wei, A., Zheng, B. & Chao, H. C. 2009. Multi-user video streaming over multiple heterogeneous wireless networks: a distributed, cross-layer design paradigm. Journal of Internet Technology 10(1), 1–12.Google Scholar