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 …
[HTML][HTML] Forecasting short-term data center network traffic load with convolutional neural networks
Efficient resource management in data centers is of central importance to content service
providers as 90 percent of the network traffic is expected to go through them in the coming …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Patient-centric cellular networks optimization using big data analytics
MS Hadi, AQ Lawey, TEH El-Gorashi… - IEEE …, 2019 - ieeexplore.ieee.org
Big data analytics is one of the state-of-the-art tools to optimize networks and transform them
from merely being a blind tube that conveys data, into a cognitive, conscious, and self …
from merely being a blind tube that conveys data, into a cognitive, conscious, and self …
Data-driven evaluation of anticipatory networking in LTE networks
Anticipatory networking is a recent branch of network optimization based on prediction of the
system state. Our work specifically tackles prediction-driven resource allocation for mobile …
system state. Our work specifically tackles prediction-driven resource allocation for mobile …
Environment-aware link quality prediction for millimeter-wave wireless lans
Millimeter-wave (mmWave) communications have been regarded as one of the most
promising solutions to deliver ultra-high data rates in wireless local-area networks. A …
promising solutions to deliver ultra-high data rates in wireless local-area networks. A …
Energy-saving predictive resource planning and allocation
C Yao, C Yang, Z Xiong - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Predictive resource allocation is an emerging approach to improve the performance of
mobile systems as human behavior is reported predictable by leveraging big data analytics …
mobile systems as human behavior is reported predictable by leveraging big data analytics …
Human-behavior and QoE-aware dynamic channel allocation for 5G networks: A latent contextual bandit learning approach
With the rapid advance of smart wireless technologies, a plethora of human behavioral data
are generated in 5G networks, which is reported capable to improve network performance …
are generated in 5G networks, which is reported capable to improve network performance …
Lightweight mobile bandwidth availability measurement
F Michelinakis, N Bui, G Fioravantti… - 2015 IFIP …, 2015 - ieeexplore.ieee.org
Mobile data traffic is increasing rapidly and wireless spectrum is becoming a more and more
scarce resource. This makes it highly important to operate the mobile network efficiently. In …
scarce resource. This makes it highly important to operate the mobile network efficiently. In …
Data-driven resource allocation with traffic load prediction
C Yao, C Yang, I Chih-Lin - Journal of Communications and …, 2017 - ieeexplore.ieee.org
Wireless big data is attracting extensive attention from operators, vendors and academia,
which provides new freedoms in improving the performance from various levels of wireless …
which provides new freedoms in improving the performance from various levels of wireless …
Switching in the rain: predictive wireless x-haul network reconfiguration
4G, 5G, and smart city networks often rely on microwave and millimeter-wave x-haul links. A
major challenge associated with these high frequency links is their susceptibility to weather …
major challenge associated with these high frequency links is their susceptibility to weather …