Abstract
The moments-matching method is employed to provide an approximate distribution of the amount of data that can be transmitted over a wireless channel during any arbitrary interval of time. This distribution is then used to propose a novel closed-form expression for the probability of starvation at the playback buffer in a video streaming scenario. Monte–Carlo simulations are carried out to assess the accuracy of the proposed distribution as well as the probability of starvation expression and study the interactions of various system parameters.
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Note that when solving for \(\xi (t)\), the solution should have the same sign as \(\kappa _3(t)\).
References
Cisco Visual Networking Index (2013). Global mobile data traffic forecast update 2012–2017.
Xu, Y., Elayoubi, S. E., Altman, E., El-Azouzi, R., & Yu, Y. (2016). Flow-level QoE of video streaming in wireless networks. IEEE Transactions on Mobile Computing, 15, 2762–2780.
Hassan, M., & Krunz, M. (2005). A playback-adaptive approach for video streaming over wireless networks. In GLOBECOM ’05. IEEE global telecommunications conference, 6, 5–3691.
Anttonen, A., & MÄmmelÄ, A. (2014). Interruption probability of wireless video streaming with limited video lengths. IEEE Transactions on Multimedia, 16(4), 1176–1180.
Hassan, M., Atzori, L., & Krunz, M. (2004). Video transport over wireless channels: A cycle-based approach for rate control. In ACM multimedia 2004–proceedings of the 12th ACM international conference on multimedia (pp. 916–923).
Xu, Y., Altman, E., El-Azouzi, R., Haddad, M., Elayoubi, S., & Jimenez, T. (2014). Analysis of buffer starvation with application to objective QoE optimization of streaming services. IEEE Transactions on Multimedia, 16, 813–827.
Xu, Y., Xiao, Z., Feng, H., Yang, T., Hu, B., & Zhou, Y. (2017). Modeling buffer starvations of video streaming in cellular networks with large-scale measurement of user behavior. IEEE Transactions on Mobile Computing, 16, 2228–2245.
Hassan, M., & Krunz, M. (2007). Video streaming over wireless packet networks: An occupancy-based rate adaptation perspective. IEEE Transactions on Circuits and Systems for Video Technology, 17, 1017–1027.
Mukhtar, H., Hassan, M., & Landolsi, T. (2011). An occupancy-based and channel-aware multi-level adaptive scheme for video communications over wireless channels. EURASIP Journal on Wireless Communications and Networking, 2011, 199.
Zorzi, M., & Rao, R. R. (1997). On the statistics of block errors in bursty channels. IEEE Transactions on Communications, 45, 660–667.
Zorzi, M., Rao, R. R., & Milstein, L. B. (1997). ARQ error control for fading mobile radio channels. IEEE Transactions on Vehicular Technology, 46, 445–455.
Zorzi, M., Rao, R. R., & Milstein, L. B. (Nov 1995). On the accuracy of a first-order markov model for data transmission on fading channels. In 1995 Fourth IEEE international conference on universal personal communications, 1995. Record (pp. 211–215).
Wang, H. S. (Sep 1994). On verifying the first-order Markovian assumption for a rayleigh fading channel model. In Proceedings of 1994 3rd IEEE international conference on universal personal communications (pp. 160–164).
Bowman, K. O., & Shenton, L. R. (2004). Estimation: Method of moments. Encyclopedia of Statistical Sciences. American Cancer Society. https://doi.org/10.1002/0471667196.ess1618.
Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian Journal of Statistics, 12(2), 171–178.
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This work is supported by the American University of Sharjah through a Faculty Research Grant No. FRG16-R-23.
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Abo Rahama, Y., Hassan, M.S. & Ismail, M.H. A novel closed-form expression for the probability of starvation in video streaming over wireless networks. Telecommun Syst 71, 577–584 (2019). https://doi.org/10.1007/s11235-018-0533-2
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DOI: https://doi.org/10.1007/s11235-018-0533-2