Large-scale mobile traffic analysis: a survey

D Naboulsi, M Fiore, S Ribot… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

Opprentice: Towards practical and automatic anomaly detection through machine learning

D Liu, Y Zhao, H Xu, Y Sun, D Pei, J Luo… - Proceedings of the …, 2015 - dl.acm.org
Closely monitoring service performance and detecting anomalies are critical for Internet-
based services. However, even though dozens of anomaly detectors have been proposed …

Leveraging ambient lte traffic for ubiquitous passive communication

Z Chi, X Liu, W Wang, Y Yao, T Zhu - … of the Annual conference of the …, 2020 - dl.acm.org
To support ubiquitous computing for various applications (such as smart health, smart
homes, and smart cities), the communication system requires to be ubiquitously available …

Survey of research on Quality of Experience modelling for web browsing

S Baraković, L Skorin-Kapov - Quality and User Experience, 2017 - Springer
A significant amount of research has been published to date studying various measures and
influence factors related to the user experience when browsing Web content on different …

Predicting QoE in cellular networks using machine learning and in-smartphone measurements

P Casas, A D'Alconzo, F Wamser… - … on Quality of …, 2017 - ieeexplore.ieee.org
Monitoring the Quality of Experience (QoE) undergone by cellular network customers has
become paramount for cellular ISPs, who need to ensure high quality levels to limit customer …

Characterizing and improving wifi latency in large-scale operational networks

K Sui, M Zhou, D Liu, M Ma, D Pei, Y Zhao, Z Li… - Proceedings of the 14th …, 2016 - dl.acm.org
WiFi latency is a key factor impacting the user experience of modern mobile applications, but
it has not been well studied at large scale. In this paper, we design and deploy WiFiSeer, a …

A study on application-aware scheduling in wireless networks

X Zheng, Z Cai, J Li, H Gao - IEEE Transactions on Mobile …, 2016 - ieeexplore.ieee.org
The past decade witnessed the dramatic evolution from Quality of Service (QoS) to Quality of
Experience (QoE) in the design of wireless networks, especially on the aspect of link …

Multi-task hierarchical adversarial inverse reinforcement learning

J Chen, D Tamboli, T Lan… - … Conference on Machine …, 2023 - proceedings.mlr.press
Abstract Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a
distribution of tasks based on multi-task expert demonstrations, which is essential for …

Next to you: Monitoring quality of experience in cellular networks from the end-devices

P Casas, M Seufert, F Wamser, B Gardlo… - … on Network and …, 2016 - ieeexplore.ieee.org
A quarter of the world population will be using smartphones to access the Internet in the
near future. In this context, understanding the quality of experience (QoE) of popular apps in …

WiFi can be the weakest link of round trip network latency in the wild

C Pei, Y Zhao, G Chen, R Tang, Y Meng… - … INFOCOM 2016-The …, 2016 - ieeexplore.ieee.org
As mobile Internet is now indispensable in our daily lives, WiFi's latency performance has
become critical to mobile applications' quality of experience. Unfortunately, WiFi hop latency …