720 citations · 2.3k across the 59 of their papers we have counts for
13 papers · 1 filter
User Association and Load Balancing for Massive MIMO through Deep Learning
Alessio Zappone, Luca Sanguinetti, Merouane Debbah
This work investigates the use of deep learning to perform user cell association for sum-rate maximization in Massive MIMO networks. It is shown how a deep neural network can be tr…
A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks
Bho Matthiesen, Alessio Zappone, Karl-L. Besser +2
This work develops a novel power control framework for energy-efficient power control in wireless networks. The proposed method is a new branch-and-bound procedure based on problem…
Deep Learning Power Allocation in Massive MIMO
Luca Sanguinetti, Alessio Zappone, Merouane Debbah
This work advocates the use of deep learning to perform max-min and max-prod power allocation in the downlink of Massive MIMO networks. More precisely, a deep neural network is tra…
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
Chongwen Huang, Alessio Zappone, George C. Alexandropoulos +2
The adoption of a Reconfigurable Intelligent Surface (RIS) for downlink multi-user communication from a multi-antenna base station is investigated in this paper. We develop energy-…
Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces
Chongwen Huang, George C. Alexandropoulos, Alessio Zappone +2
We consider a multi-user Multiple-Input Single-Output (MISO) communication system comprising of a multi-antenna base station communicating in the downlink simultaneously with multi…
Keldysh field theory of a driven dissipative Mott insulator: nonequilibrium response and phase transitions
Sarath Sankar, Vikram Tripathi
Understanding strongly correlated systems driven out of equilibrium is a challenging task necessitating the simultaneous treatment of quantum mechanics,dynamical constraints and st…