35 citations · 139 across the 23 of their papers we have counts for
3 papers · 1 filter
Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
Fabio Saggese, Marco Moretti, Petar Popovski
5G technology allows heterogeneous services to share the wireless spectrum within the same radio access network. In this context, spectrum slicing of the shared radio resources is…
NOMA Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
Fabio Saggese, Marco Moretti, Petar Popovski
Spectrum slicing of the shared radio resources is a critical task in 5G networks with heterogeneous services, through which each service gets performance guarantees. In this paper,…
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
Fabio Saggese, Luca Pasqualini, Marco Moretti +1
With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very relevant research issue is how to manage the coexistence of different types of traffic, each…