Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Unsupervised machine learning for networking: Techniques, applications and research challenges

M Usama, J Qadir, A Raza, H Arif, KLA Yau… - IEEE …, 2019 - ieeexplore.ieee.org
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 …

Five years at the edge: Watching internet from the isp network

M Trevisan, D Giordano, I Drago, M Mellia… - Proceedings of the 14th …, 2018 - dl.acm.org
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 …

DeepCog: Optimizing resource provisioning in network slicing with AI-based capacity forecasting

D Bega, M Gramaglia, M Fiore… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
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 …

Planning 5G networks under EMF constraints: State of the art and vision

L Chiaraviglio, AS Cacciapuoti, G Di Martino… - Ieee …, 2018 - ieeexplore.ieee.org
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 …

How should I slice my network? A multi-service empirical evaluation of resource sharing efficiency

C Marquez, M Gramaglia, M Fiore, A Banchs… - Proceedings of the 24th …, 2018 - dl.acm.org
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 …

Overbooking network slices through yield-driven end-to-end orchestration

JX Salvat, L Zanzi, A Garcia-Saavedra… - Proceedings of the 14th …, 2018 - dl.acm.org
Network slicing allows mobile operators to offer, via proper abstractions, mobile
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

OE Martínez-Durive, S Mishra, C Ziemlicki… - arXiv preprint arXiv …, 2023 - arxiv.org
Digital sources have been enabling unprecedented data-driven and large-scale
investigations across a wide range of domains, including demography, sociology …

Resource sharing efficiency in network slicing

C Marquez, M Gramaglia, M Fiore… - … on Network and …, 2019 - ieeexplore.ieee.org
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 …

Spectragan: Spectrum based generation of city scale spatiotemporal mobile network traffic data

K Xu, R Singh, M Fiore, MK Marina, H Bilen… - Proceedings of the 17th …, 2021 - dl.acm.org
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 …