Yonina C. Eldar

research

∙ 09/12/2023

Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding

Solving linear inverse problems plays a crucial role in numerous applica...

0 Shaik Basheeruddin Shah, et al. ∙

research

∙ 08/30/2023

Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound Analysis and Estimator Design

This paper studies a near-field multiple-input multiple-output (MIMO) ra...

0 Haocheng Hua, et al. ∙

research

∙ 08/29/2023

Robust Transceiver Design for Covert Integrated Sensing and Communications With Imperfect CSI

We propose a robust transceiver design for a covert integrated sensing a...

0 Yuchen Zhang, et al. ∙

research

∙ 08/17/2023

Unfolding for Joint Channel Estimation and Symbol Detection in MIMO Communication Systems

This paper proposes a Joint Channel Estimation and Symbol Detection (JED...

0 Swati Bhattacharya, et al. ∙

research

∙ 07/18/2023

RIS-Aided Index Modulation with Greedy Detection over Rician Fading Channels

Index modulation schemes for reconfigurable intelligent surfaces (RIS)-a...

0 Aritra Basu, et al. ∙

research

∙ 07/11/2023

Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks

Maneuvering target tracking will be an important service of future wirel...

0 Lei Xie, et al. ∙

research

∙ 07/10/2023

Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding

Joint communications and sensing (JCAS) is envisioned as a key feature i...

0 Nhan Thanh Nguyen, et al. ∙

research

∙ 05/12/2023

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels

Artificial intelligence (AI) is envisioned to play a key role in future ...

0 Tomer Raviv, et al. ∙

research

∙ 05/10/2023

Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference

Federated Learning (FL) is a widely embraced paradigm for distilling art...

0 Zhanwei Wang, et al. ∙

research

∙ 04/19/2023

Generalization and Estimation Error Bounds for Model-based Neural Networks

Model-based neural networks provide unparalleled performance for various...

0 Avner Shultzman, et al. ∙

research

∙ 04/05/2023

25 Years of Signal Processing Advances for Multiantenna Communications

Wireless communication technology has progressed dramatically over the p...

0 Emil Björnson, et al. ∙

research

∙ 03/03/2023

AI-Empowered Hybrid MIMO Beamforming

Hybrid multiple-input multiple-output (MIMO) is an attractive technology...

0 Nir Shlezinger, et al. ∙

research

∙ 02/23/2023

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems

Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) m...

0 Nhan Thanh Nguyen, et al. ∙

research

∙ 02/19/2023

Integrated sensing and full-duplex communication: Joint transceiver beamforming and power allocation

Beamforming design has been widely investigated for integrated sensing a...

0 Zhenyao He, et al. ∙

research

∙ 01/27/2023

Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding

As an effective way to enhance the physical layer security (PLS) for the...

0 Xin Zhang, et al. ∙

research

∙ 11/13/2022

Towards a performance bound on MIMO DFRC systems

It is a fundamental problem to analyse the performance bound of multiple...

0 Ziheng Zheng, et al. ∙

research

∙ 11/09/2022

Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning

Choosing the values of hyper-parameters in sparse Bayesian learning (SBL...

0 Dawei Gao, et al. ∙

research

∙ 11/01/2022

Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization

Beamforming design has been widely investigated for integrated sensing a...

0 Zhenyao He, et al. ∙

research

∙ 10/31/2022

Compressed IF-TEM: Time Encoding Analog-To-Digital Compression

An integrate-and-fire time-encoding-machine (IF-TEM) is an energy-effici...

0 Saar Tarnopolsky, et al. ∙

research

∙ 10/18/2022

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM

Simultaneous localization and mapping (SLAM) is a method that constructs...

0 Geon Choi, et al. ∙

research

∙ 10/14/2022

FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning

One of the key challenges in federated learning (FL) is local data distr...

0 Rui Ye, et al. ∙

research

∙ 10/08/2022

Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks

In this paper, we investigate signal detection in multiple-input-multipl...

0 Dawei Gao, et al. ∙

research

∙ 10/01/2022

RDA: An Accelerated Collision-free Motion Planner for Autonomous Navigation in Cluttered Environments

Motion planning is challenging for autonomous systems in multi-obstacle ...

0 Ruihua Han, et al. ∙

research

∙ 09/28/2022

Learning Filter-Based Compressed Blind-Deconvolution

The problem of sparse multichannel blind deconvolution (S-MBD) arises fr...

1 Bahareh Tolooshams, et al. ∙

research

∙ 07/31/2022

Unitary Approximate Message Passing for Matrix Factorization

We consider matrix factorization (MF) with certain constraints, which fi...

10 Zhengdao Yuan, et al. ∙

research

∙ 07/29/2022

Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink

Non-orthogonal communications are expected to play a key role in future ...

0 Thien Van Luong, et al. ∙

research

∙ 07/26/2022

Physics Embedded Machine Learning for Electromagnetic Data Imaging

Electromagnetic (EM) imaging is widely applied in sensing for security, ...

4 Rui Guo, et al. ∙

research

∙ 07/19/2022

Neural Greedy Pursuit for Feature Selection

We propose a greedy algorithm to select N important features among P inp...

0 Sandipan Das, et al. ∙

research

∙ 07/12/2022

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization

This paper investigates intelligent reflecting surface (IRS) enabled non...

0 Xianxin Song, et al. ∙

research

∙ 07/04/2022

BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation

Neural network quantization aims to transform high-precision weights and...

8 Geon Park, et al. ∙

research

∙ 07/03/2022

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

This paper studies a new multi-device edge artificial-intelligent (AI) s...

0 Dingzhu Wen, et al. ∙

research

∙ 06/29/2022

Theoretical Perspectives on Deep Learning Methods in Inverse Problems

In recent years, there have been significant advances in the use of deep...

0 Jonathan Scarlett, et al. ∙

research

∙ 06/15/2022

Beamforming in Integrated Sensing and Communication Systems with Reconfigurable Intelligent Surfaces

We consider transmit beamforming and reflection pattern design in reconf...

0 R. S. Prasobh Sankar, et al. ∙

research

∙ 06/08/2022

Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces

Reconfigurable Intelligent Surfaces (RISs) are envisioned to play a key ...

0 Haiyang Zhang, et al. ∙

research

∙ 06/08/2022

Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming

In massive multiple-input multiple-output (MIMO) systems, hybrid analog-...

0 Kai Kang, et al. ∙

research

∙ 06/03/2022

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Realizing human-like perception is a challenge in open driving scenarios...

0 Shuai Wang, et al. ∙

research

∙ 06/01/2022

Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

To process and transfer large amounts of data in emerging wireless servi...

0 Wei Xu, et al. ∙

research

∙ 05/31/2022

Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges

With the development of innovative applications that demand accurate env...

0 Lei Xie, et al. ∙

research

∙ 05/05/2022

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

Decision making algorithms are used in a multitude of different applicat...

0 Nir Shlezinger, et al. ∙

research

∙ 04/23/2022

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound Optimization

This paper investigates intelligent reflecting surface (IRS) enabled non...

0 Xianxin Song, et al. ∙

research

∙ 04/09/2022

Ultrasound Signal Processing: From Models to Deep Learning

Medical ultrasound imaging relies heavily on high-quality signal process...

1 Ben Luijten, et al. ∙

research

∙ 04/08/2022

Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promis...

0 Neil Irwin Bernardo, et al. ∙

research

∙ 03/27/2022

Online Meta-Learning For Hybrid Model-Based Deep Receivers

Recent years have witnessed growing interest in the application of deep ...

0 Tomer Raviv, et al. ∙

research

∙ 02/10/2022

On the Acquisition of Stationary Signals Using Uniform ADCs

In this work, we consider the acquisition of stationary signals using un...

0 Peter Neuhaus, et al. ∙

research

∙ 12/03/2021

MIMO Networks with One-Bit ADCs: Receiver Design and Communication Strategies

High resolution analog to digital converters (ADCs) are conventionally u...

0 Abbas Khalili, et al. ∙

research

∙ 10/24/2021

Learning to Estimate Without Bias

We consider the use of deep learning for parameter estimation. We propos...

0 Tzvi Diskin, et al. ∙

research

∙ 10/22/2021

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding

In this paper, we propose an end-to-end deep learning-based joint transc...

0 Qiyu Hu, et al. ∙

research

∙ 10/20/2021

Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover

In this paper, we consider deep neural networks for solving inverse prob...

0 Wei Pu, et al. ∙

research

∙ 10/18/2021

Unsupervised Learned Kalman Filtering

In this paper we adapt KalmanNet, which is a recently pro-posed deep neu...

0 Guy Revach, et al. ∙

research

∙ 10/10/2021

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models

Providing a metric of uncertainty alongside a state estimate is often cr...

0 Itzik Klein, et al. ∙

Yonina C. Eldar

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