In: Proceedings of ACM SIGCOMM (2014) Google Scholar 19.Huang, T.Y., Johari, R., McKeown, N., Trunnell, M., Watson, M.: A buffer-based approach to rate adaptation: evidence from a large video streaming service.In: Proceedings of ACM MobiSys (2018) Google Scholar 18.He, J., Qureshi, M., Qiu, L., Li, J., Li, F., Han, L.: Rubiks: practical 360-degree streaming for smartphones.In: Proceedings of IEEE EWC (2014) Google Scholar 17.Bui, N., Michelinakis, F., Widmer, J.: A model for throughput prediction for mobile users.In: Proceedings of ACM MobiCom (2019) Google Scholar 16.Baig, G., et al.: Jigsaw: robust live 4K video streaming.In: Proceedings of ACM SIGCOMM (2018) Google Scholar 15.Akhtar, Z., et al.: Oboe: auto-tuning video abr algorithms to network conditions.13.nuttcp - Network Performance Measurement Tool.10.JPMML-Evaluator - Java Evaluator API for Predictive Model Markup Language (PMML).6.ASUS Republic of Gamers (ROG) Phone II.5.ASUS Republic of Gamers (ROG) Phone.We further identify the most important features that affect the neural network prediction accuracy to be past throughput and MCS. We show that, with carefully designed neural networks, we can predict the throughput of the 60 GHz link with good accuracy at varying timescales, from 10 ms (suitable for VR) up to 2 s (suitable for ABR streaming). In this paper, we perform an extensive measurement study of the predictability of the network throughput of an 802.11ad WLAN in downloading data to an 802.11ad-enabled mobile device under varying mobility patterns and orientations of the mobile device. Hence, the problem of predicting throughput becomes quite challenging. At 60 GHz, due to the much higher frequency, the throughput can vary sharply due to blockage and mobility. A key component of quality adaptation is throughput prediction. To maintain QoE, applications need to adapt to the ever changing network conditions by performing quality adaptation. IEEE 802.11ad, which standardizes the 14 GHz of unlicensed spectrum around 60 GHz, is a prime candidate to fulfil these demands wirelessly. In the near future, high quality VR and video streaming at 4K/8K resolutions will require Gigabit throughput to maintain a high user quality of experience (QoE).

Cinetics lynx to dragonframe software