Kajita, S., Yamaguchi, H., Higashino, T., Urayama, H., Yamada, M., Takai, M.: Throughput and delay estimator for 2.4GHz WiFi APs: a machine learning-based approach. Jiang, J., Sekar, V., Zhang, H.: Improving fairness, efficiency, and stability in http-based adaptive video streaming with festive. IEEE 802.11 Working Group: IEEE 802.11ad, Amendment 3: Enhancements for Very High Throughput in the 60 GHz Band (2012) 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. He, J., Qureshi, M., Qiu, L., Li, J., Li, F., Han, L.: Rubiks: practical 360-degree streaming for smartphones. In: Proceedings of ACM MobiCom (2019)īui, N., Michelinakis, F., Widmer, J.: A model for throughput prediction for mobile users. In: Proceedings of ACM SIGCOMM (2018)īaig, G., et al.: Jigsaw: robust live 4K video streaming. Īkhtar, Z., et al.: Oboe: auto-tuning video abr algorithms to network conditions. Nuttcp - Network Performance Measurement Tool. JPMML-Evaluator - Java Evaluator API for Predictive Model Markup Language (PMML). 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).
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