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QoE Model Based Optimization for Streaming Media Service Considering Equipment and Environment Factors

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Abstract

With the development of smart phones, one of the hot research topics for wireless personal communication technologies has begun to transit from reaching higher communication capabilities to better Quality of Experiences (QoE). However, for streaming services, such as online music or online video, which is one of the mainstream services in the future wireless network, there is still no breakthrough optimization beyond the Quality of Service (QoS) hence the optimization results are not satisfactory. Based on our study, this problem could be relieved by altering the criterion of wireless resource allocation from enhancing users’ QoS to enhancing their QoE, which specifically means that the scope of the research is extended from the so-called last mile between the network and the user equipment to the last few inches between the user equipment and the user himself. Unfortunately, it seems that all current QoE researches are still not jointly considering the users’ environment and user equipments’ performance, both of which are paramount factors of the last inches that will influence users’ QoE directly and profoundly. Hence, in this paper, we propose a QoE model involving the environment and equipment factors, and then we use this model to guide the wireless resource allocation. Simulation results show that this resource allocation method will increase the effectiveness of network resource utilization as well as improve the average of satisfaction of users.

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References

  1. TR-NGN. (2005). QoS-general aspects of quality of service and networkperformance in the next generation networks: FGNGN-OD-00129[EB/OL], Geneva: ITUFGNGN [2006-02-04]. http://www.Itu.int/ITU2T/ngn/fgngn/.

  2. Piamrat, K., Ksentini, A., Bonnin, J.-M., & Viho, C. (2009). Q-DRAM: QoE based dynamic rate adaptation mechanism for multicast in wireless networks. In: Proceedings of the IEEE global telecommunications conference, pp. 1–6.

  3. Wang, B., Wen, X., Yong, S., & Wei, Z. (2009). A new approach measuring user’s QoE in the IPTV. In: Proceedings of the IEEE Pacific-Asia conference on circus, communications and systems, pp. 453–456.

  4. Gao, F., Gao, Z., Wen, L., Zhang, B., Tang, D., & Hsu, D. (2009). A research on key performance indicator of measurable QoE of EDGE network. In: Proceedings of the IEEE international conference on information engineering and computer science, pp. 1–4.

  5. Kim, H. J., Lee, D. H., Lee, J. M., Lee, K. H., Lyu, W., & Choi, S. G. (2008). The QoE evaluation method through the QoS-QoE correlation model. In: Proceedings of the IEEE fourth international conference on networked computing and advanced information management, pp. 719–725

  6. Kilkki K. (2008) Quality of experience in communications ecosystem. Journal of universal computer science 14(5): 615–624

    Google Scholar 

  7. Geerts, D., DeMoor, K., Ketyó, I., Jacobs, A., Vanden Bergh, J., Joseph, W., Martens, L., & Marez, L. (2010). Linking an integrated framework with appropriate methods for measuring QoE. In: Proceedings of the IEEE second international workshop on quality of multimedia experience, pp. 158–163.

  8. Du, Y., Zhou, W., Chen, B., & Song, J. (2009). A QoE based evaluation of service quality in wireless communication network. In: Proceedings of the IEEE international conference on new trends in information and service science, pp. 552–557.

  9. Volk, M., Sterle, J., Sedlar, U., & Kos A. (2010). An approach to modeling and control of QoE in next generation networks. IEEE Communications Magazine, 48(8), 126–135.

    Google Scholar 

  10. Venkataraman, M., Chatterjee, M., & Chattopadhyay, S. (2009). Evaluating quality of experience for streaming video in real time. In: Proceedings of the IEEE global telecommunications conference, pp. 1–6.

  11. Gong, Y., Yang, F., Huang, L., & Su, S. (2009). Evaluating quality of experience for streaming video in real time. In: Proceedings of the IEEE first international conference on emerging network intelligence, pp. 29–32.

  12. De Pessemier, T., De Moor, K., Juan, A., Joseph, W., DeMarez, L. & Martens L. (2011). Quantifying QoE of mobile video consumption in a real-life setting drawing on objective and subjective parameters. In: Proceedings of the IEEE international symposium on broadband multimedia systems and broadcasting, pp. 1–6.

  13. Brooks P., Hestnes B. (2010) User measures of quality of experience: Why being objective and quantitative is important. IEEE Network 24(2): 8–13

    Article  Google Scholar 

  14. István, D.M., Katrien, Ketykó , Wout, J., Luc, M., Lieven, D.M. (2010). Performing QoE-measurements in an actual 3G network. In: Proceedings of the IEEE international symposium on broadband multimedia systems and broadcasting, pp. 1–6.

  15. Perkis, A., Munkeby, S., & Hillestad, O.I. (2006). A model for measuring quality of experience. In: Proceedings of the IEEE 7th nordic signal processing symposium, pp. 198–201.

  16. Zhang J., Ansari N. (2011) On assuring end-to-end QoE in next generation networks:challenges and a possible solution. IEEE Communications Magazine 49(7): 185–191

    Article  Google Scholar 

  17. Menkovski, V., Exarchakos, G., Liotta, A., & Sanchez, A.C. (2010). Estimations and remedies for quality of experience in multimedia streaming. In: Proceedings of the IEEE third international conference on advances in human-oriented and personalized mechanisms, technologies and services, pp. 11–15.

  18. Wu, W.W., Wu, M.U., & Wu, B.U. (2009). QoE/QoS improvement in wireless internet. In: Proceedings of the IEEE first international conference on evolving internet, pp. 125–132.

  19. Soldani, D. (2006). Means and methods for collecting and analyzing QoE measurements in wireless networks. In: Proceedings of the IEEE international symposium on world of wireless, mobile and multimedia networks, pp. 531–535.

  20. Elkotob, M., Grandlund, D., Andersson, K., & Ahlund, C. (2010). Multimedia QoE optimized management using prediction and statistical learning. In: Proceedings of the IEEE 35th conference on local computer networks, pp. 324–327.

  21. Reis, A.B., Chakareski, J., Kassler, A., & Sargento, S. (2010). uality of experience optimized scheduling in multi-service wireless mesh networks. In: Proceedings of the IEEE 17th international conference on image processing, pp. 3233–3236.

  22. Amram, N., Fu, B., Kunzmann, G., Melia, T., Munaretto, D., Sabine Randriamasy, B.S., Widmer, J., & Michele, Z. (2011). QoE-based transport optimization for video delivery over next generation cellular networks. In: Proceedings of IEEE symposium on computer and communication, pp. 19–24.

  23. Gao Y., Zhang X., Yang D., Jiang Y. (2009) Unified simulation evaluation for mobile broadband technologies. IEEE Communications Magazine 47(3): 142–149

    Article  Google Scholar 

  24. Bender P., Black P., Grob M., Padovani R., Sindhushayana N., Viterbi A. (2000) CDMA/HDR: A bandwidth effcient high speed data service for nomadic users. IEEE Communication Magazine 38(7): 70–78

    Article  Google Scholar 

  25. Jalali, A., Padovani, R., Pankaj, R. (2000). Data throughput of CDMA-HDR: A high effciency-high data rate personal communication wireless system. In:Proceedings of IEEE vehicular technology conference, pp. 1854–1858.

  26. Shreedhar M., Varghese G. (1996) Efficient fair queueing using deficit round-robin. IEEE/ACM Transactions on Networking 4(3): 375–385

    Article  Google Scholar 

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Authors and Affiliations

  1. Wireless Theory and Technology Lab, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Bingjun Han, Xin Zhang, Yifei Qi, Yuehong Gao & Dacheng Yang

Authors
  1. Bingjun Han
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  2. Xin Zhang
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  3. Yifei Qi
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  4. Yuehong Gao
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  5. Dacheng Yang
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Correspondence to Bingjun Han.

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Han, B., Zhang, X., Qi, Y. et al. QoE Model Based Optimization for Streaming Media Service Considering Equipment and Environment Factors. Wireless Pers Commun 66, 595–612 (2012). https://doi.org/10.1007/s11277-012-0739-7

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