1.7k citations · 3.7k across the 150 of their papers we have counts for
12 papers · 1 filter
Analysis of the Delay Distribution in Cellular Networks by Using Stochastic Geometry
Fadil Habibi Danufane, Marco Di Renzo
In this paper, with the aid of the mathematical tool of stochastic geometry, we introduce analytical and computational frameworks for the distribution of three different definition…
Reconfigurable Intelligent Surfaces: Performance Assessment Through a System-Level Simulator
Bjorn Sihlbom, Marios I. Poulakis, Marco Di Renzo
Reconfigurable intelligent surfaces (RISs) are considered a promising technology for boosting the coverage and for enhancing the spectral efficiency of wireless systems, as well as…
Smart Radio Environments
Gabriele Gradoni, Marco Di Renzo, Ana Diaz-Rubio +27
This Roadmap takes the reader on a journey through the research in electromagnetic wave propagation control via reconfigurable intelligent surfaces. Meta-surface modelling and desi…
Communication Models for Reconfigurable Intelligent Surfaces: From Surface Electromagnetics to Wireless Networks Optimization
Marco Di Renzo, Fadil H. Danufane, Sergei Tretyakov
A reconfigurable intelligent surface (RIS) is a planar structure that is engineered to dynamically control the electromagnetic waves. In wireless communications, RISs have recently…
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted Internet-of-Things (IoT) system in a sophisticated three-dimensional (3D) environment, where the UAV's traje…
Reradiation and Scattering from a Reconfigurable Intelligent Surface: A General Macroscopic Model
V. Degli-Esposti, E. M. Vitucci, M. Di Renzo +1
Reconfigurable Intelligent Surfaces (RISs) have attracted major attention in the last few years, thanks to their useful characteristics. An RIS is a nearly passive thin surface tha…
Learning to Estimate RIS-Aided mmWave Channels
Jiguang He, Henk Wymeersch, Marco Di Renzo +1
Inspired by the remarkable learning and prediction performance of deep neural networks (DNNs), we apply one special type of DNN framework, known as model-driven deep unfolding neur…
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Xisuo Ma, Zhen Gao, Feifei Gao +1
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-ou…
K-Means Clustering-Aided Non-Coherent Detection for Molecular Communications
Xuewen Qian, Marco Di Renzo, Andrew W. Eckford
In this paper, we consider non-coherent detection for molecular communication systems in the presence of inter-symbol-interference. In particular, we study non-coherent detectors b…
Intelligent Omni-Surfaces for Full-Dimensional Wireless Communications: Principle, Technology, and Implementation
Hongliang Zhang, Shuhao Zeng, Boya Di +6
The recent development of metasurfaces has motivated their potential use for improving the performance of wireless communication networks by manipulating the propagation environmen…
Reconfigurable Intelligent Surface-Assisted Cell-Free Massive MIMO Systems Over Spatially-Correlated Channels
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas +2
Cell-Free Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for application to beyond-5G networks. This pape…
Energy Efficiency Optimization of Reconfigurable Intelligent Surfaces with Electromagnetic Field Exposure Constraints
Alessio Zappone, Marco Di Renzo
This work considers the problem of energy efficiency maximization in a RIS-based communication link, subject to not only the conventional maximum power constraints, but also additi…