51 citations · 94 across the 23 of their papers we have counts for
6 papers · 1 filter
Learning Semantics: An Opportunity for Effective 6G Communications
Mohamed Sana, Emilio Calvanese Strinati
Recently, semantic communications are envisioned as a key enabler of future 6G networks. Back to Shannon's information theory, the goal of communication has long been to guarantee…
Reconfigurable, Intelligent, and SustainableWireless Environments for 6G Smart Connectivity
Emilio Calvanese Strinati, George C. Alexandropoulos, Henk Wymeersch +7
Various visions on the forthcoming sixth Generation (6G) networks point towards flexible connect-and-compute technologies to support future innovative services and the correspondin…
Toward 6G: From New Hardware Design to Wireless Semantic and Goal-Oriented Communication Paradigms
Emilio Calvanese Strinati, Didier Belot, Alexis Falempin +1
Several speculative visions are conjecturing on what 6G services will be able to offer at the horizon of 2030. Nevertheless, the 6G design process is at its preliminary stages. The…
Transferable and Distributed User Association Policies for 5G and Beyond Networks
Mohamed Sana, Nicola di Pietro, Emilio Calvanese Strinati
We study the problem of user association, namely finding the optimal assignment of user equipment to base stations to achieve a targeted network performance. In this paper, we focu…
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective
Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore +15
The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 203…
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
Mohamed Sana, Mattia Merluzzi, Nicola di Pietro +1
In this work, we study the problem of energy-efficient computation offloading enabled by edge computing. In the considered scenario, multiple users simultaneously compete for limit…