10 citations · 12 across the 2 of their papers we have counts for
4 papers
Examining Machine Learning for 5G and Beyond through an Adversarial Lens
Muhammad Usama, Rupendra Nath Mitra, Inaam Ilahi +2
Spurred by the recent advances in deep learning to harness rich information hidden in large volumes of data and to tackle problems that are hard to model/solve (e.g., resource allo…
Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks
G. Patounas, X. Foukas, A. Elmokashfi +1
This study is a first attempt to experimentally explore the range of performance bottlenecks that 5G mobile networks can experience. To this end, we leverage a wide range of measur…
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale
Rajkarn Singh, Marco Fiore, Mahesh K. Marina +2
We investigate spatial patterns in mobile service consumption that emerge at national scale. Our investigation focuses on a representative case study, i.e., France, where we find t…
Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells
Xenofon Foukas, Mahesh K. Marina, Kimon Kontovasilis
We consider indoor mobile access, a vital use case for current and future mobile networks. For this key use case, we outline a vision that combines a neutral-host based shared smal…