QD4G: QoE for Video on D2D/4G Networks with Machine Learning
Abstract
Device-to-Device (D2D) communication is one of the mechanisms for releasing 4G networks via data offloading to other networks. D2D/4G hybrid networks have as a challenge the efficient multiplexing of communication interfaces, which can directly impact users Quality of Experience (QoE). This paper introduces QD4G, a Machine Learning platform to control when customers using the Dynamic Adaptive Streaming over HTTP (DASH) standard should employ a 4G network or a D2D network. The goal is to improve QoE by providing video streaming at higher resolution. Tests were performed with real devices and the results showed that prediction allows to achieve up to 87% accuracy, with an increase in average video resolution between users via D2D of up to 150% while at the same time relieving 4G network data traffic. up to 80% in the scenarios evaluated.
Keywords:
Video Streaming, Quality of Experience, Machine Learning
References
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Liu, J., Kato, N., Ma, J., and Kadowaki, N. (2015). Device-to-Device Communication in LTE-Advanced Networks: A Survey. IEEE Communications Surveys Tutorials, 17(4):1923–1940.
Mi, X., Tian, Z., Xu, X., Zhao, M., andWang, J. (2014). NO stack: A SDNBased Framework for Future Cellular Networks. In Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on, pages 497–502.
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Pyattaev, A., Johnsson, K., Andreev, S., and Koucheryavy, Y. (2013). 3GPP LTE traffic offloading ontoWiFi Direct. In 2013 IEEEWireless Communications and Networking Conference Workshops (WCNCW), pages 135–140.
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Thrimurthulu, V. and Sarma, N. M. (2017). Device-todevice Communications in Long Term Evaluation-Advanced Network. In Intelligent Computing and Control Systems (ICICCS), 2017 International Conference on, pages 818–823. IEEE.
Ullah, S. and Hong, C. S. (2016). Outband D2D Communication for Layered Video Delivery in ICN Enabled Cellular Network. Proceedings of the Korean Information Science Society, pages 1370–1372.
Xu, Y., Jiang, S., and Wu, J. (2018). Towards Energy Efficient Device-to- Device Content Dissemination in Cellular Networks. IEEE Access, 6:25816–25828.
Zhou, H., Wang, H., Li, X., and Leung, V. C. M. (2018). A Survey on Mobile Data Offloading Technologies. IEEE Access, 6:5101–5111.
Bradai, A., Singh, K., Ahmed, T., and Rasheed, T. (2015). Cellular Software Defined Networking: a Framework. Communications Magazine, IEEE, 53(6):36– 43.
Camps-Mur, D., Garcia-Saavedra, A., and Serrano, P. (2013). Device-to-Device Communications with Wi-Fi Direct: Overview and Experimentation. IEEE Wireless Communications, 20(3):96–104.
Chai, X., Liu, T., Xing, C., Xiao, H., and Zhang, Z. (2016). Throughput improvement in cellular networks via full-duplex based device-to-device communications. IEEE Access, 4:7645–7657.
Doppler, K., Rinne, M., Wijting, C., Ribeiro, C. B., and Hugl, K. (2009). Device-to-Device Communication as an Underlay to LTE-Advanced Networks. IEEE Communications Magazine, 47(12).
Essaili, A. E., Schroeder, D., Steinbach, E., Staehle, D., and Shehada, M. (2015). QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE. IEEE Transactions on Circuits and Systems for Video Technology, 25(6):988–1001.
Haldar, K. L., Li, H., and Agrawal, D. P. (2013). A Cluster-Aware Soft Frequency Reuse Scheme for Inter-Cell Interference Mitigation in LTE Based Femtocell Networks. In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a, pages 1–6. IEEE.
Kua, J., Armitage, G., and Branch, P. (2017). A survey of rate adaptation techniques for dynamic adaptive streaming over http. IEEE Communications Surveys Tutorials, 19(3):1842–1866.
Liu, J., Kato, N., Ma, J., and Kadowaki, N. (2015). Device-to-Device Communication in LTE-Advanced Networks: A Survey. IEEE Communications Surveys Tutorials, 17(4):1923–1940.
Mi, X., Tian, Z., Xu, X., Zhao, M., andWang, J. (2014). NO stack: A SDNBased Framework for Future Cellular Networks. In Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on, pages 497–502.
Mota, V. F. S., Macedo, D. F., Ghamri-Doudane, Y., and Nogueira, J. M. S. (2013). On the Feasibility of WiFi Offloading in Urban Areas: The Paris Case Study. In IFIP Wireless Days conference.
Pyattaev, A., Johnsson, K., Andreev, S., and Koucheryavy, Y. (2013). 3GPP LTE traffic offloading ontoWiFi Direct. In 2013 IEEEWireless Communications and Networking Conference Workshops (WCNCW), pages 135–140.
Sesia, S., Toufik, I., and Baker, M. (2009). LTE, The UMTS Long Term Evolution: From Theory to Practice. Wiley Publishing.
Stockhammer, T. (2011). Dynamic Adaptive Streaming over HTTP–: Standards and Design Principles. In Proceedings of the Second Annual ACM Conference on Multimedia Systems, pages 133–144. ACM.
Thrimurthulu, V. and Sarma, N. M. (2017). Device-todevice Communications in Long Term Evaluation-Advanced Network. In Intelligent Computing and Control Systems (ICICCS), 2017 International Conference on, pages 818–823. IEEE.
Ullah, S. and Hong, C. S. (2016). Outband D2D Communication for Layered Video Delivery in ICN Enabled Cellular Network. Proceedings of the Korean Information Science Society, pages 1370–1372.
Xu, Y., Jiang, S., and Wu, J. (2018). Towards Energy Efficient Device-to- Device Content Dissemination in Cellular Networks. IEEE Access, 6:25816–25828.
Zhou, H., Wang, H., Li, X., and Leung, V. C. M. (2018). A Survey on Mobile Data Offloading Technologies. IEEE Access, 6:5101–5111.
Published
2019-05-06
How to Cite
CARVALHO, Marcos; DE BRITTO E SILVA, Erik; SILVA, Vinicius F.; MACEDO, Daniel F..
QD4G: QoE for Video on D2D/4G Networks with Machine Learning. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 37. , 2019, Gramado.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 183-196.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc.2019.7359.
