Energy-efficient base-stations sleep-mode techniques in green cellular networks: A survey
J Wu, Y Zhang, M Zukerman… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
Due to global climate change as well as economic concern of network operators, energy
consumption of the infrastructure of cellular networks, or “Green Cellular Networking,” has …
consumption of the infrastructure of cellular networks, or “Green Cellular Networking,” has …
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 …
their network infrastructure. This is a recently emerged research field, and, apart from a few …
Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data
Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …
indispensable part for future big data-driven intelligent cellular networks, since it can help …
Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
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 …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
Mobile data offloading: How much can WiFi deliver?
This paper presents a quantitative study on the performance of 3G mobile data offloading
through WiFi networks. We recruited 97 iPhone users from metropolitan areas and collected …
through WiFi networks. We recruited 97 iPhone users from metropolitan areas and collected …
Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis
This paper uses big data technologies to study base stations' behaviors and activities and
their predictability in mobile cellular networks. With new technologies quickly appearing …
their predictability in mobile cellular networks. With new technologies quickly appearing …
CAD-model recognition and 6DOF pose estimation using 3D cues
This paper focuses on developing a fast and accurate 3D feature for use in object
recognition and pose estimation for rigid objects. More specifically, given a set of CAD …
recognition and pose estimation for rigid objects. More specifically, given a set of CAD …
A first look at cellular machine-to-machine traffic: large scale measurement and characterization
Cellular network based Machine-to-Machine (M2M) communication is fast becoming a
market-changing force for a wide spectrum of businesses and applications such as …
market-changing force for a wide spectrum of businesses and applications such as …