Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Unsupervised machine learning for networking: Techniques, applications and research challenges
While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …
research, the bulk of such works has focused on supervised learning. Recently, there has …
Five years at the edge: Watching internet from the isp network
The Internet and the way people use it are constantly changing. Knowing traffic is crucial for
operating the network, understanding users' need, and ultimately improving applications …
operating the network, understanding users' need, and ultimately improving applications …
DeepCog: Optimizing resource provisioning in network slicing with AI-based capacity forecasting
The dynamic management of network resources is both a critical and challenging task in
upcoming multi-tenant mobile networks, which requires allocating capacity to individual …
upcoming multi-tenant mobile networks, which requires allocating capacity to individual …
Planning 5G networks under EMF constraints: State of the art and vision
The deployment of 5G networks will necessarily involve the installation of new base station
(BS) equipment to support the requirements of next-generation mobile services. In a …
(BS) equipment to support the requirements of next-generation mobile services. In a …
How should I slice my network? A multi-service empirical evaluation of resource sharing efficiency
By providing especially tailored instances of a virtual network, network slicing allows for a
strong specialization of the offered services on the same shared infrastructure. Network …
strong specialization of the offered services on the same shared infrastructure. Network …
Overbooking network slices through yield-driven end-to-end orchestration
Network slicing allows mobile operators to offer, via proper abstractions, mobile
infrastructure (radio, networking, computing) to vertical sectors traditionally alien to the telco …
infrastructure (radio, networking, computing) to vertical sectors traditionally alien to the telco …
The netmob23 dataset: A high-resolution multi-region service-level mobile data traffic cartography
Digital sources have been enabling unprecedented data-driven and large-scale
investigations across a wide range of domains, including demography, sociology …
investigations across a wide range of domains, including demography, sociology …
Resource sharing efficiency in network slicing
The economic sustainability of future mobile networks will largely depend on the strong
specialization of its offered services. Network operators will need to provide added value to …
specialization of its offered services. Network operators will need to provide added value to …
Spectragan: Spectrum based generation of city scale spatiotemporal mobile network traffic data
City-scale spatiotemporal mobile network traffic data can support numerous applications in
and beyond networking. However, operators are very reluctant to share their data, which is …
and beyond networking. However, operators are very reluctant to share their data, which is …