595 citations · 3.6k across the 131 of their papers we have counts for
6 papers · 2 filters
Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
Nhan Thanh Nguyen, Ly V. Nguyen, Nir Shlezinger +3
In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expre…
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
Mengyuan Ma, Tianyu Fang, Nir Shlezinger +3
Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target…
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
Itai Nuri, Nir Shlezinger
A leading family of algorithms for state estimation in dynamic systems with multiple sub-states is based on particle filters (PFs). PFs often struggle when operating under complex…
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming
Ohad Levy, Nir Shlezinger
Multiple-input multiple-output (MIMO) systems play a key role in wireless communication technologies. A widely considered approach to realize scalable MIMO systems involves archite…
Beam Focusing for Near-Field Multi-User Localization
Qianyu Yang, Anna Guerra, Francesco Guidi +5
Extremely large-scale antenna arrays are poised to play a pivotal role in sixth-generation (6G) networks. Utilizing such arrays often results in a near-field spherical wave transmi…
A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV
Gianluca Fontanesi, Anna Guerra, Francesco Guidi +7
In this paper, we consider a scenario with one UAV equipped with a ULA, which sends combined information and sensing signals to communicate with multiple GBS and, at the same time,…