QoE estimation for different adaptive streaming techniques in mobile networks


Autores/as

DOI:

https://doi.org/10.22517/23447214.24746

Palabras clave:

Adaptive Transmission, LTE, MOS, QoE, Video

Resumen

El servicio de video es cada vez más popular por parte de los usuarios de redes móviles, además exige mayores recursos y prestaciones por parte de los proveedores de servicios de telecomunicaciones. Para satisfacer la calidad de la experiencia del servicio suministrado a los usuarios - QoE y mejorar el rendimiento de las redes, los operadores utilizan diferentes técnicas de transmisión adaptativa, las cuales presentan inconvenientes de interoperabilidad entre ellas.  En este artículo se presenta una comparación de las técnicas de streaming DASH (dynamic adaptive streaming over HTTP), HDS (HTTP dynamic streaming), HLS (HTTP2 live streaming) and HSS (HTTP smooth streaming) empleadas en la reproducción de vídeo en vivo por parte de un usuario en diferentes escenarios de prueba, en una red LTE emulada. La comparación de desempeño se realiza mediante la métrica de la MOS calculada a partir de la Recomendación ITU-T P.1203. Se presenta para los diferentes escenarios bajo prueba, la técnica de streaming que mejor desempeño obtiene.

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Biografía del autor/a

Héctor Fabio Bermúdez Orozco, Universidad del Quindio. Universidad del Cauca.

Citas

[1] Ericsson, “Mobile Network Evolution-4G to 5G|Mobility Report,” Ericsson.com, Sep. 07, 2020. https://www.ericsson.com/en/mobility-report (accessed Feb. 16, 2021).
[2] O. B. Maia, H. C. Yehia, and L. de Errico, “A concise review of the quality of experience assessment for video streaming,” Computer Communications, vol. 57, pp. 1–12, Feb. 2015, doi: 10.1016/j.comcom.2014.11.005.
[3] D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, 2005.
[4] L. Guo and Y. Meng, “What is wrong and right with MSE?,” 2006, pp. 212–215.
[5] H.-F. Bermudez, “Modelado de tráfico para el servicio de streaming de video en vivo -LVS en redes móviles LTE con calidad de la experiencia,” Tesis Doctoral, Universidad del Cauca, Popayán - Colombia, 2020.
[6] D. Ghadiyaram, J. Pan, and A. C. Bovik, “A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 1, pp. 183–197, Jan. 2019, doi: 10.1109/TCSVT.2017.2768542.
[7] ISO, “ISO/IEC 23009-1:2014(E). Information technology — Dynamic adaptive streaming over HTTP (DASH).” 2014.
[8] Jbocharov, “Smooth Streaming Transport Protocol,” 2008. https://docs.microsoft.com/en-us/iis/media/smooth-streaming/smooth-streaming-transport-protocol (accessed Jun. 03, 2020).
[9] Apple, “HTTP Live Streaming (HLS) - Apple Developer,” 2014. https://developer.apple.com/streaming/ (accessed Jun. 03, 2018).
[10] Adobe, “Adobe HTTP Dynamic Streaming (HDS) Technology Center | Adobe Developer Connection,” 2014. https://www.adobe.com/devnet/hds.html?origref=https%3A%2F%2Fwww.google.es%2F (accessed Jun. 03, 2020).
[11] ISO/IEC, “MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH),” 2010. https://mpeg.chiariglione.org/standards/mpeg-dash (accessed Jun. 03, 2018).
[12] T. Stockhammer, “Dynamic adaptive streaming over HTTP --: standards and design principles,” Munich, Germany, Feb. 2011, pp. 133–144. doi: 10.1145/1943552.1943572.
[13] H. F. Bermúdez, J. L. Arciniegas, and E. Astaiza, “State of the art of QoE assessment methods, and emulation environments for the video service in LTE networks,” Entre Ciencia e Ingeniería, vol. 10, no. 20, pp. 66–75, Dec. 2016, Accessed: May 27, 2017. [Online]. Available: http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S1909-83672016000200010&lng=en&nrm=iso&tlng=es
[14] ITU-T, “P.911: Subjective audiovisual quality assessment methods for multimedia applications,” Dec. 1998. https://www.itu.int/rec/T-REC-P.911-199812-I/en (accessed Apr. 12, 2018).
[15] ITU-T, “P.910: Subjective video quality assessment methods for multimedia applications,” Apr. 1999. https://www.itu.int/rec/T-REC-P.910-200804-I/en (accessed Apr. 12, 2020).
[16] ITU-T, “P.1201.2 : Parametric non-intrusive assessment of audiovisual media streaming quality - Higher resolution application area,” 50 2013. https://www.itu.int/rec/T-REC-P.1201.2 (accessed Apr. 12, 2018).
[17] ITU-T, “P.1203.3 : Parametric bitstream-based quality assessment of progressive download and adaptive audiovisual streaming services over reliable transport - Quality integration module,” Jan. 2019. http://www.itu.int/rec/T-REC-P.1203.3-201710-I (accessed Dec. 02, 2020).
[18] A. Aloman, A. I. Ispas, P. Ciotirnae, R. Sanchez-Iborra, and M. D. Cano, “Performance Evaluation of Video Streaming Using MPEG DASH, RTSP, and RTMP in Mobile Networks,” in 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC), Oct. 2015, pp. 144–151. doi: 10.1109/WMNC.2015.12.
[19] V. Mata G., “Análisis y Comparativa de los Protocolos de Transmisión de vídeo Adaptativo por Internet,” Tesis, Carlos III de Madrid, Leganés España, 2014.
[20] Albedo, “Net.Time clock,” PTP clocks, 10GbE testers, C37.94 test, 2019. http://www.albedotelecom.com/ (accessed Jun. 05, 2020).
[21] E. Intriago A., “Análisis de Tecnologías de Streaming: Evaluación de Protocolos y Diseño de un Caso de Estudio,” Trabajo fin de Máster, Universidad Politécnica de Madrid, Madrid, 2016.
[22] M. Taha, “A Novel CDN Testbed for Fast Deploying HTTP Adaptive Video Streaming,” Jun. 2016, pp. 65–71. Accessed: Jun. 07, 2018. [Online]. Available: http://dl.acm.org/citation.cfm?id=3021385.3021399
[23] M. Taha, J. Lloret, A. Canovas, and L. Garcia, “Survey of Transportation of Adaptive Multimedia Streaming service in Internet,” Network Protocols and Algorithms, vol. 9, no. 1–2, pp. 85–125, Jun. 2017, doi: 10.5296/npa.v9i1-2.12412.
[24] M. Taha, J. Lloret, A. Ali, and L. Garcia, “Adaptive video streaming testbed design for performance study and assessment of QoE,” International Journal of Communication Systems, vol. 31, no. 9, Mar. 2018, doi: 10.1002/dac.3551.
[25] F. Abdurrahman et al., “Real Time Video Streaming over NS3 based Emulated LTE Networks,” 2014, vol. 4, pp. 659–663.
[26] H.-F. Bermudez, R. Sanchez-Iborra, J. L. Arciniegas, W. Y. Campo, and M.- Cano, “Performance validation of NS3-LTE emulation for live video streaming under QoS parameters,” in 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, Oct. 2017, pp. 300–307. doi: 10.1109/WiMOB.2017.8115836.
[27] H.-F. Bermudez, R. Sanchez-Iborra, J. L. Arciniegas, W. Y. Campo, and M.-D. Cano, “Statistical validation of an LTE emulation tool using live video streaming over reliable transport protocols,” Telecommun Syst, vol. 71, no. 3, pp. 491–504, Jul. 2019, doi: 10.1007/s11235-018-0521-6.
[28] Blender, “Big Buck Bunny » Download,” 2008. https://peach.blender.org/download/ (accessed Sep. 09, 2020).
[29] ITU-T, “Y.1541 : Objetivos de calidad de funcionamiento de red para servicios basados en el protocolo Internet,” Dec. 2011. https://www.itu.int/rec/T-REC-Y.1541-201112-I/es (accessed Nov. 08, 2020).

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Publicado

2021-12-03

Cómo citar

Bermúdez Orozco, H. F., Campo Muñoz, W. Y., & Astaiza Hoyos, E. (2021). QoE estimation for different adaptive streaming techniques in mobile networks. Scientia Et Technica, 26(04), 434–441. https://doi.org/10.22517/23447214.24746