Abstract
With quality of experience (QoE) taking a center stage in the evaluation of wireless telecommunication system, optimizing the performance of heterogeneous wireless networks (HWNs) is in need of taking service QoE into consideration. End to end QoE of video services in HWN is determined by not only the network but also the video characteristics. In this paper, a metric termed as QoE coverage is proposed to evaluate the coverage performance of HWNs for video services. First, subjective quality test is performed to improve the existing video quality prediction model, and the expression of QoE coverage is derived by combining video and network parameters. Second, two QoE provisioning schemes, i.e., homogeneous and heterogeneous quality thresholds of HWN are analyzed to show the mathematic properties. Third, a Monte Carlo simulation is performed to show its differences to SINR coverage. Compared with state-of-the-art SINR coverage, QoE coverage takes both physical layer and application layer parameters into consideration and provides more realistic user satisfactory. Results show that QoE coverage can be well maintained by adjusting target QoE thresholds, modulation and coding schemes with different videos.
Similar content being viewed by others
References
Andrews, J. G., Baccelli, F., & Ganti., R. K. (2011). A tractable approach to coverage and rate in cellular networks. IEEE Transactions on Communications, 59(11), 3122–3134. doi:10.1109/TCOMM.2011.100411.100541.
Chen, X., Hwang, J. N., Lee, C. N., & Chen, S. I. (2015). A near optimal qoe-driven power allocation scheme for scalable video transmissions over mimo systems. IEEE Journal of Selected Topics in Signal Processing, 9(1), 76–88. doi:10.1109/JSTSP.2014.2336603.
Dhillon, H., & Ganti, R. (2012). Modeling and analysis of k-tier downlink heterogeneous cellular networks. IEEE Journal on Selected Areas in Communications, 30(3), 550–560. doi:10.1109/JSAC.2012.120405.
Di Renzo, M., & Guan, P. (2014). Stochastic geometry modeling of coverage and rate of cellular networks using the Gil-Pelaez inversion theorem. IEEE Communications Letters, 18(9), 1575–1578. doi:10.1109/LCOMM.2014.2341251.
ITU-T. (2003). BT-500-11: Methodology for subjective assessment of the quality of television picture.
Jailton, J., Carvalho, T., & Valente, (2013). A quality of experience handover architecture for heterogeneous mobile wireless multimedia networks. IEEE Communications Magazine, 51(6), 152–159. doi:10.1109/MCOM.2013.6525609.
Jo, H. S., Sang, Y. J., Xia, P., & Andrews, J. (2012). Heterogeneous cellular networks with flexible cell association: A comprehensive downlink SINR analysis. IEEE Transactions on Wireless Communications, 11(10), 3484–3495. doi:10.1109/TWC.2012.081612.111361.
Khan, A., Sun, L., & Ifeachor, E. (2009). Content clustering based video quality prediction model for MPEG4 video streaming over wireless networks. In IEEE international conference on communications (pp. 1–5). doi:10.1109/ICC.2009.5198850.
Khan, A., Sun, L., Jammeh, E., & Ifeachor, E. (2010). Quality of experience-driven adaptation scheme for video applications over wireless networks. IET Communications, 4(11), 1337–1347. doi:10.1049/iet-com.2009.0422.
Khan, A., Sun, L., & Ifeachor, E. (2012). Qoe prediction model and its application in video quality adaptation over UMTS networks. IEEE Transactions on Multimedia, 14(2), 431–442. doi:10.1109/TMM.2011.2176324.
Klaue, J., Rathke, B., & Wolisz, A. (2003). Evalvid - A framework for video transmission and quality evaluation. In P. Kemper & W. H. Sanders (Eds.), Computer performance evaluation. Modelling techniques and tools (pp. 255–272). Berlin: Springer.
Lu, Z., Wen, X., Zheng, W., Ju, Y., & Ling, D. (2011). Gradient projection based qos driven cross-layer scheduling for video applications. In 2011 IEEE international conference on multimedia and expo (ICME) (pp 1–6). doi:10.1109/ICME.2011.6012022
Peng, J., Hong, P., & Xue, K. (2015). Energy-aware cellular deployment strategy under coverage performance constraints. IEEE Transactions on Wireless Communications, 14(1), 69–80. doi:10.1109/TWC.2014.2329858.
Rosário, D., Cerqueira, E., Neto, A., Riker, A., Immich, R., & Curado, M. (2013). A qoe handover architecture for converged heterogeneous wireless networks. Wireless Networks, 19(8), 2005–2020.
Sadr, S., & Adve, R. (2015). Handoff rate and coverage analysis in multi-tier heterogeneous networks. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2015.2390224.
Seshadrinathan, K., Soundararajan, R., Bovik, A., & Cormack, L. (2010). Study of subjective and objective quality assessment of video. IEEE Transactions on Image Processsing, 19(6), 1427–1441. doi:10.1109/TIP.2010.2042111.
Tirouvengadam, B., Radhakrishnan, R., & Nayak, A. (2012). CAAHR: Content aware adaptive HARQ retransmission scheme for 4g/lte network. In 2012 fourth international conference on ubiquitous and future networks (ICUFN) (pp 456–461). IEEE.
Vranješ, M., Rimac-Drlje, S., & Grgić, K. (2013). Review of objective video quality metrics and performance comparison using different databases. Signal Processing: Image Communication, 28(1), 1–19.
Zhang, J., & Ansari, N. (2011). On assuring end-to-end QoE in next generation networks: Challenges and a possible solution. IEEE Commun Mag, 49(7), 185–191. doi:10.1109/MCOM.2011.5936172.
Zheng, K., Zhang, X., Zheng, Q., Xiang, W., & Hanzo, L. (2015). Quality-of-experience assessment and its application to video services in LTE networks. IEEE Wireless Communications, 22(1), 70–78. doi:10.1109/MWC.2015.7054721.
Acknowledgments
This work is supported by National Natural Science Foundation of China (61271179), Beijing Municipal Science and technology Commission research fund project No. D151100000115002, Broadband China Rural demonstration project and National Natural Science Foundation of China (61471025).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Shao, H., Lu, Z., Wen, X. et al. Content-Aware Video QoE Coverage Analysis in Heterogeneous Wireless Networks. Wireless Pers Commun 90, 487–502 (2016). https://doi.org/10.1007/s11277-015-3073-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-015-3073-z