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7 papers · 2 filters
Learning to run a power network challenge for training topology controllers
Antoine Marot, Benjamin Donnot, Camilo Romero +4
For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and pot…
Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis
Hang Zou, Chao Zhang, Samson Lasaulce +2
In this paper, an energy efficiency (EE) game in a MIMO multiple access channel (MAC) communication system is considered. The existence and the uniqueness of the Nash Equilibrium (…
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Wankai Tang, Ming Zheng Chen, Xiangyu Chen +7
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagneti…
Real-Time Privacy-Preserving Data Release for Smart Meters
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Smart Meters (SMs) are able to share the power consumption of users with utility providers almost in real-time. These fine-grained signals carry sensitive information about users,…
Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave
Mario Alonzo, Stefano Buzzi, Alessio Zappone +1
In a cell-free massive MIMO architecture a very large number of distributed access points simultaneously and jointly serves a much smaller number of mobile stations; a variant of t…
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
Mohit K Sharma, Alessio Zappone, Merouane Debbah +1
In this paper, we propose a deep learning based approach to design online power control policies for large EH networks, which are often intractable stochastic control problems. In…