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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...
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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...
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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...
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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...
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07/18/2023
RIS-Aided Index Modulation with Greedy Detection over Rician Fading Channels
Index modulation schemes for reconfigurable intelligent surfaces (RIS)-a...
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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...
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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...
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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 ...
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05/10/2023
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
Federated Learning (FL) is a widely embraced paradigm for distilling art...
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04/19/2023
Generalization and Estimation Error Bounds for Model-based Neural Networks
Model-based neural networks provide unparalleled performance for various...
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04/05/2023
25 Years of Signal Processing Advances for Multiantenna Communications
Wireless communication technology has progressed dramatically over the p...
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03/03/2023
AI-Empowered Hybrid MIMO Beamforming
Hybrid multiple-input multiple-output (MIMO) is an attractive technology...
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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...
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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...
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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...
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11/13/2022
Towards a performance bound on MIMO DFRC systems
It is a fundamental problem to analyse the performance bound of multiple...
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11/09/2022
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Choosing the values of hyper-parameters in sparse Bayesian learning (SBL...
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11/01/2022
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization
Beamforming design has been widely investigated for integrated sensing a...
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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...
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10/18/2022
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM
Simultaneous localization and mapping (SLAM) is a method that constructs...
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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...
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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...
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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 ...
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09/28/2022
Learning Filter-Based Compressed Blind-Deconvolution
The problem of sparse multichannel blind deconvolution (S-MBD) arises fr...
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07/31/2022
Unitary Approximate Message Passing for Matrix Factorization
We consider matrix factorization (MF) with certain constraints, which fi...
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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 ...
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07/26/2022
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Electromagnetic (EM) imaging is widely applied in sensing for security, ...
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07/19/2022
Neural Greedy Pursuit for Feature Selection
We propose a greedy algorithm to select N important features among P inp...
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07/12/2022
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization
This paper investigates intelligent reflecting surface (IRS) enabled non...
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07/04/2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Neural network quantization aims to transform high-precision weights and...
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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...
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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...
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06/15/2022
Beamforming in Integrated Sensing and Communication Systems with Reconfigurable Intelligent Surfaces
We consider transmit beamforming and reflection pattern design in reconf...
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06/08/2022
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces
Reconfigurable Intelligent Surfaces (RISs) are envisioned to play a key ...
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06/08/2022
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-...
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06/03/2022
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Realizing human-like perception is a challenge in open driving scenarios...
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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...
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05/31/2022
Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges
With the development of innovative applications that demand accurate env...
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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...
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04/23/2022
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound Optimization
This paper investigates intelligent reflecting surface (IRS) enabled non...
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04/09/2022
Ultrasound Signal Processing: From Models to Deep Learning
Medical ultrasound imaging relies heavily on high-quality signal process...
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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...
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03/27/2022
Online Meta-Learning For Hybrid Model-Based Deep Receivers
Recent years have witnessed growing interest in the application of deep ...
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02/10/2022
On the Acquisition of Stationary Signals Using Uniform ADCs
In this work, we consider the acquisition of stationary signals using un...
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12/03/2021
MIMO Networks with One-Bit ADCs: Receiver Design and Communication Strategies
High resolution analog to digital converters (ADCs) are conventionally u...
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10/24/2021
Learning to Estimate Without Bias
We consider the use of deep learning for parameter estimation. We propos...
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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...
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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...
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10/18/2021
Unsupervised Learned Kalman Filtering
In this paper we adapt KalmanNet, which is a recently pro-posed deep neu...
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10/10/2021