28 citations · 53 across the 5 of their papers we have counts for
6 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…
Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands
Ursula Challita, Mahesh K. Marina
Due to the dramatic growth in mobile data traffic on one hand and the scarcity of the licensed spectrum on the other hand, mobile operators are considering the use of unlicensed ba…
Auctioning based Coordinated TV White Space Spectrum Sharing for Home Networks
Saravana Manickam, Mahesh K. Marina, Sofia Pediaditaki +1
The idea of having the geolocation database monitor the secondary use of TV white space (TVWS) spectrum and assist in coordinating the secondary usage is gaining ground. Considerin…