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ALGORITMO AAASH PARA EL SERVICIO DE VIDEOSTREAMING SOBRE REDES MÓVILES

Authors

Wilmar Yesid Campo Muñoz Universidad del Quindío https://orcid.org/0000-0001-8585-706X
Juan Carlos Imbachi Paz Universidad del Quindío https://orcid.org/0000-0002-0612-7315
Andrés Felipe Escobar Zapata Universidad del Quindío https://orcid.org/0000-0001-7351-3884

DOI:

https://doi.org/10.24054/rcta.v1i41.2413

Keywords:

AAASH, mobile networks, QoS, video streaming

Abstract

The services supported by video streaming technology are the ones that generate the most traffic on mobile networks. One of the ways to deal with this situation is through the use of adaptive protocols, which allow the service traffic to be adapted to the network conditions in order to maintain quality conditions. So the Dynamic Adaptive Streaming over HTTP (DASH) arises. We in this paper applies Adaptation Algorithm for Adaptive Streaming over HTTP (AAASH) in clients of a cellular mobile network. The conditions of the experimental scenario are presented and the algorithm is executed in different scenarios increasing the number of users who consume video through DASH simultaneously. AAASH shows to be adequate, since quality of service parameters are obtained which satisfy the requirements.

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References

-1:2012, I. (2012). ISO - ISO/IEC 23009-1:2012 - Information technology — Dynamic adaptive streaming over HTTP (DASH) — Part 1: Media presentation description and segment formats. Retrieved August 3, 2022, from https://www.iso.org/standard/57623.html

Agusti, R., Bernardo, F., Casadevall, F., Ferrús, R., Pérez-Romero, J., & Sallent, O. (2010). LTE: NUEVAS TENDENCIAS EN COMUNICACIONES MÓVILES AUTORES.

Atehortua, J., Yesid Campo, W., & Elías Chanchí, G. (2022). Proposal of a tool for the automatic estimation of quality of experience in MPEG-DASH scenarios. Przeglad Elektrotechniczny. https://doi.org/10.15199/48.2022.08.26

Campo-Muñoz, W. Y., Andrés, Escobar-Zapata, F., Juan, & Imbachi-Paz, C. (2019). Análisis del servicio de video streaming basado en el algoritmo FDASH sobre LTE. Ciencia e Ingeniería Neogranadina, 29(1), 67–80. https://doi.org/10.18359/RCIN.3122

Cisco. (2017). Video Quality of Service (QOS) Tutorial - Cisco. Retrieved April 1, 2023, from https://www.cisco.com/c/en/us/support/docs/quality-of-service-qos/qos-video/212134-Video-Quality-of-Service-QOS-Tutorial.html

Colonnese, S., Conti, F., Scarano, G., Rubin, I., & Cuomo, F. (2022). Premium quality or guaranteed fluidity? Client-transparent DASH-aware bandwidth allocation at the radio access network. Journal of Communications and Networks, 24(1), 59–67. https://doi.org/10.23919/JCN.2021.000046

Concolato, C., Le Feuvre, J., Denoual, F., Mazé, F., Nassor, E., Ouedraogo, N., & Taquet, J. (2018). Adaptive Streaming of HEVC Tiled Videos Using MPEG-DASH. IEEE Transactions on Circuits and Systems for Video Technology, 28(8), 1981–1992. https://doi.org/10.1109/TCSVT.2017.2688491

Ericsson. (2022). Past and present reports - Mobility Report - Ericsson. Retrieved April 1, 2023, from https://www.ericsson.com/en/reports-and-papers/mobility-report/reports

Gadaleta, M., Chiariotti, F., Rossi, M., & Zanella, A. (2017). D-DASH: A Deep Q-Learning Framework for DASH Video Streaming. IEEE Transactions on Cognitive Communications and Networking, 3(4), 703–718. https://doi.org/10.1109/TCCN.2017.2755007

Handbook, C. Q. (2020). Cisco QoS Handbook 2nd Edition.

Malinverno, M., Mangues-Bafalluy, J., Casetti, C. E., Chiasserini, C. F., Requena-Esteso, M., & Baranda, J. (2020). An edge-based framework for enhanced road safety of connected cars. IEEE Access, 8, 58018–58031. https://doi.org/10.1109/ACCESS.2020.2980902

Miller, K., Quacchio, E., Gennari, G., & Wolisz, A. (2012). Adaptation algorithm for adaptive streaming over HTTP. 2012 19th International Packet Video Workshop, PV 2012, 173–178. https://doi.org/10.1109/PV.2012.6229732

NS-3 Project. (2023). ns-3: src/lte/examples/lena-simple-epc.cc Source File. Retrieved April 1, 2023, from https://www.nsnam.org/docs/release/3.19/doxygen/lena-simple-epc_8cc_source.html

Orozco, H. F. B., Muñoz, W. Y. C., & Hoyos, E. A. (2021). Revista Ingeniería. Ingeniería, 26(3), 381–400. https://doi.org/10.14483/23448393.17960

Sabbah, A., Jarwan, A., Issa, O., & Ibnkahla, M. (2018). Enabling LTE emulation by integrating CORE emulator and LTE-EPC Network (LENA) Simulator. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2017-October, 1–6. https://doi.org/10.1109/PIMRC.2017.8292642

Solano-Hurtado, L. R., & Soto-Cordova, M. M. (2021). A Study on Video Streaming Quality of DASH Scheme in Multimedia Services. 2021 7th Congreso Internacional de Innovacion y Tendencias En Ingenieria, CONIITI 2021 - Conference Proceedings. https://doi.org/10.1109/CONIITI53815.2021.9619720

Tian, G., & Liu, Y. (2016). Towards Agile and Smooth Video Adaptation in HTTP Adaptive Streaming. IEEE/ACM Transactions on Networking, 24(4), 2386–2399. https://doi.org/10.1109/TNET.2015.2464700

Van Der Hooft, J., Petrangeli, S., Wauters, T., Huysegems, R., Alface, P. R., Bostoen, T., & De Turck, F. (2016). HTTP/2-Based Adaptive Streaming of HEVC Video over 4G/LTE Networks. IEEE Communications Letters, 20(11), 2177–2180. https://doi.org/10.1109/LCOMM.2016.2601087

Vergados, D. J., Michalas, A., Sgora, A., & Vergados, D. D. (2014). A fuzzy controller for rate adaptation in MPEG-DASH clients. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2014-June, 2008–2012. https://doi.org/10.1109/PIMRC.2014.7136501

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Published

2023-07-28 — Updated on 2023-05-07

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How to Cite

Campo Muñoz, W. Y., Imbachi Paz, J. C., & Escobar Zapata , A. F. (2023). ALGORITMO AAASH PARA EL SERVICIO DE VIDEOSTREAMING SOBRE REDES MÓVILES. COLOMBIAN JOURNAL OF ADVANCED TECHNOLOGIES, 1(41), 12–19. https://doi.org/10.24054/rcta.v1i41.2413 (Original work published July 28, 2023)