A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …
as much as possible. This paradigm made modern solutions, such as recommendation …
Transfer learning for channel quality prediction
The ability to predict the quality of a wireless channel is essential for enabling anticipatory
networking tasks. Traditional channel quality prediction problems encompass predicting …
networking tasks. Traditional channel quality prediction problems encompass predicting …
Classifying flows and buffer state for YouTube's HTTP adaptive streaming service in mobile networks
Accurate cross-layer information is very useful to optimize mobile networks for specific
applications. However, providing application-layer information to lower protocol layers has …
applications. However, providing application-layer information to lower protocol layers has …
A public dataset for youtube's mobile streaming client
T Karagkioules, D Tsilimantos… - 2018 Network Traffic …, 2018 - ieeexplore.ieee.org
Datasets are a valuable resource to analyze, model and optimize network traffic. This paper
describes a new public dataset for YouTube's popular video streaming client on mobile …
describes a new public dataset for YouTube's popular video streaming client on mobile …
A machine-learning-based handover prediction for anticipatory techniques in wi-fi networks
M Feltrin, S Tomasin - 2018 Tenth International Conference on …, 2018 - ieeexplore.ieee.org
Handover and blind spots in Wi-Fi networks generate temporary interruptions of connection
between the devices and the access point, with major quality degradation, for example to …
between the devices and the access point, with major quality degradation, for example to …
Traffic profiling for mobile video streaming
D Tsilimantos, T Karagkioules… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
This paper describes a novel system that provides key parameters of HTTP Adaptive
Streaming (HAS) sessions to the lower layers of the protocol stack. A non-intrusive traffic …
Streaming (HAS) sessions to the lower layers of the protocol stack. A non-intrusive traffic …
Accelerating deep reinforcement learning with the aid of partial model: Energy-efficient predictive video streaming
Predictive power allocation is conceived for energy-efficient video streaming over mobile
networks using deep reinforcement learning. The goal is to minimize the accumulated …
networks using deep reinforcement learning. The goal is to minimize the accumulated …
Energy efficient resource allocation for hybrid services with future channel gains
C She, C Yang - IEEE Transactions on Green Communications …, 2019 - ieeexplore.ieee.org
In this paper, we propose a framework to maximize energy efficiency (EE) of a system
supporting real-time (RT) and non-real-time services by exploiting future average channel …
supporting real-time (RT) and non-real-time services by exploiting future average channel …
Channel quality prediction in 5G LTE small cell mobile network using deep learning
Prior knowledge of wireless channel quality with high accuracy is essential to enable
anticipated networking tasks. Traditional channel quality prediction problems rely on past …
anticipated networking tasks. Traditional channel quality prediction problems rely on past …
Energy-saving predictive video streaming with deep reinforcement learning
D Liu, J Zhao, C Yang - 2019 IEEE Global Communications …, 2019 - ieeexplore.ieee.org
In this paper, we propose a policy to optimize predictive power allocation for video streaming
over mobile networks with deep reinforcement learning. The objective is to minimize the …
over mobile networks with deep reinforcement learning. The objective is to minimize the …