595 citations · 3.6k across the 131 of their papers we have counts for
9 papers · 2 filters
Data Augmentation for Deep Receivers
Tomer Raviv, Nir Shlezinger
Deep neural networks (DNNs) allow digital receivers to learn to operate in complex environments. To do so, DNNs should preferably be trained using large labeled data sets with a si…
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
Thien Van Luong, Nir Shlezinger, Chao Xu +3
Non-orthogonal communications are expected to play a key role in future wireless systems. In downlink transmissions, the data symbols are broadcast from a base station to different…
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces
Haiyang Zhang, Nir Shlezinger, George C Alexandropoulos +3
Reconfigurable Intelligent Surfaces (RISs) are envisioned to play a key role in future wireless communications, enabling programmable radio propagation environments. They are usual…
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization
Konstantinos D. Katsanos, Nir Shlezinger, Mohammadreza F. Imani +1
Reconfigurable Intelligent Surfaces (RISs) are an emerging technology for future wireless communication systems, enabling improved coverage in an energy efficient manner. RISs are…
Online Meta-Learning For Hybrid Model-Based Deep Receivers
Tomer Raviv, Sangwoo Park, Osvaldo Simeone +2
Recent years have witnessed growing interest in the application of deep neural networks (DNNs) for receiver design, which can potentially be applied in complex environments without…
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments
Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne +1
The integration of Reconfigurable Intelligent Surfaces (RISs) into wireless environments endows channels with programmability, and is expected to play a key role in future communic…
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading
Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos +3
Programmable radio environments parametrized by reconfigurable intelligent surfaces (RISs) are emerging as a new wireless communications paradigm, but currently used channel models…
Anomaly Search over Composite Hypotheses in Hierarchical Statistical Models
Benjamin Wolff, Tomer Gafni, Guy Revach +2
Detection of anomalies among a large number of processes is a fundamental task that has been studied in multiple research areas, with diverse applications spanning from spectrum ac…
On the Acquisition of Stationary Signals Using Uniform ADCs
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus +2
In this work, we consider the acquisition of stationary signals using uniform analog-to-digital converters (ADCs), i.e., employing uniform sampling and scalar uniform quantization.…