activity
20202022
collaborators

5 papers

cs.NI2022

Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G Aerial Mobile Access Points

Esteban Catté, Mohamed Sana, Mickael Maman

6G networks require a flexible infrastructure to dynamically provide ubiquitous network coverage. Mobile Access Points (MAP) deployment is a promising solution. In this paper, we f…

cs.IT2021

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…

cs.LG2021

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…

cs.LG2021

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…

eess.SP2020

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

Mohamed Sana, Antonio De Domenico, Wei Yu +2

Network densification and millimeter-wave technologies are key enablers to fulfill the capacity and data rate requirements of the fifth generation (5G) of mobile networks. In this…