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Sparse Representation for Wireless Communications: A Compressive Sensing Approach

https://doi.org/10.1109/msp.2018.2789521

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The restricted isometry property and its implications for compressed sensing

inferredcites →https://doi.org/10.1049/el.2015.0488openalex-snapshot

Compressive sensing‐based differential channel feedback for massive MIMO

inferredcites →https://doi.org/10.1049/iet-wss.2011.0009openalex-snapshot

Energy-efficient signal acquisition in wireless sensor networks: a compressive sensing framework

inferredcites →https://doi.org/10.1088/0266-5611/23/3/008openalex-snapshot

Sparsity and incoherence in compressive sampling

inferredcites →https://doi.org/10.1088/0266-5611/24/3/035020openalex-snapshot

Restricted isometry properties and nonconvex compressive sensing

inferredcites →https://doi.org/10.1109/78.738251openalex-snapshot

An affine scaling methodology for best basis selection

inferredcites →https://doi.org/10.1109/access.2014.2362860openalex-snapshot

Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access Network

inferredcites →https://doi.org/10.1109/comst.2016.2524443openalex-snapshot

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

inferredcites →https://doi.org/10.1109/comst.2017.2664421openalex-snapshot

Compressed Sensing for Wireless Communications: Useful Tips and Tricks

inferredcites →https://doi.org/10.1109/eusipco.2015.7362907openalex-snapshot

An overview of robust compressive sensing of sparse signals in impulsive noise

inferredcites →https://doi.org/10.1109/icassp.2007.367330openalex-snapshot

Compressed Sensing for Wideband Cognitive Radios

inferredcites →https://doi.org/10.1109/icassp.2008.4518498openalex-snapshot

Iteratively reweighted algorithms for compressive sensing

inferredcites →https://doi.org/10.1109/icassp.2009.4960089openalex-snapshot

Compressive wide-band spectrum sensing

inferredcites →https://doi.org/10.1109/icassp.2011.5947200openalex-snapshot

Compressive power spectral density estimation

inferredcites →https://doi.org/10.1109/icc.2015.7248738openalex-snapshot

Active user detection and channel estimation in uplink CRAN systems

inferredcites →https://doi.org/10.1109/icc.2017.7996917openalex-snapshot

Low complexity channel estimation based on DFT for short range communication

inferredcites →https://doi.org/10.1109/icip.2009.5414426openalex-snapshot

Informative sensing of natural images

inferredcites →https://doi.org/10.1109/jcn.2016.000012openalex-snapshot

Compressed channel feedback for correlated massive MIMO systems

inferredcites →https://doi.org/10.1109/jproc.2010.2044470openalex-snapshot

Sparse Representation for Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/jstsp.2010.2055037openalex-snapshot

Distributed Compressive Spectrum Sensing in Cooperative Multihop Cognitive Networks

inferredcites →https://doi.org/10.1109/jstsp.2014.2317671openalex-snapshot

An Overview of Massive MIMO: Benefits and Challenges

inferredcites →https://doi.org/10.1109/jstsp.2014.2334278openalex-snapshot

Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

inferredcites →https://doi.org/10.1109/jstsp.2016.2520899openalex-snapshot

Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells

inferredcites →https://doi.org/10.1109/lcomm.2012.092812.121648openalex-snapshot

Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios

inferredcites →https://doi.org/10.1109/lcomm.2017.2655514openalex-snapshot

Hybrid Precoding via Successive Refinement for Millimeter Wave MIMO Communication Systems

inferredcites →https://doi.org/10.1109/lsp.2007.898300openalex-snapshot

Exact Reconstruction of Sparse Signals via Nonconvex Minimization

inferredcites →https://doi.org/10.1109/lsp.2011.2158604openalex-snapshot

Power Spectrum Blind Sampling

inferredcites →https://doi.org/10.1109/lsp.2017.2697970openalex-snapshot

Efficient Compressed Sensing for Wireless Neural Recording: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/lwc.2015.2414933openalex-snapshot

Efficient Downlink Channel Estimation Scheme Based on Block-Structured Compressive Sensing for TDD Massive MU-MIMO Systems

inferredcites →https://doi.org/10.1109/lwc.2017.2686854openalex-snapshot

Optimality of Frequency Flat Precoding in Frequency Selective Millimeter Wave Channels

inferredcites →https://doi.org/10.1109/mcom.2010.5621984openalex-snapshot

Application of compressive sensing to sparse channel estimation

inferredcites →https://doi.org/10.1109/mcom.2016.7588229openalex-snapshot

Embracing big data with compressive sensing: a green approach in industrial wireless networks

inferredcites →https://doi.org/10.1109/msp.2007.4286571openalex-snapshot

Compressive Sensing [Lecture Notes]

inferredcites →https://doi.org/10.1109/msp.2007.914731openalex-snapshot

An Introduction To Compressive Sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition]

inferredcites →https://doi.org/10.1109/msp.2010.936023openalex-snapshot

L1-L2 Optimization in Signal and Image Processing

inferredcites →https://doi.org/10.1109/msp.2015.2486805openalex-snapshot

Compressive Covariance Sensing: Structure-based compressive sensing beyond sparsity

inferredcites →https://doi.org/10.1109/mwc.2013.6507397openalex-snapshot

Wideband spectrum sensing for cognitive radio networks: a survey

inferredcites →https://doi.org/10.1109/tcomm.2016.2520945openalex-snapshot

Enhanced Compressive Downlink CSI Recovery for FDD Massive MIMO Systems Using Weighted Block ${\ell _1}$-Minimization

inferredcites →https://doi.org/10.1109/tcomm.2016.2623606openalex-snapshot

Wireless Powered Cognitive Radio Networks With Compressive Sensing and Matrix Completion

inferredcites →https://doi.org/10.1109/tcomm.2017.2665497openalex-snapshot

Common Codebook Millimeter Wave Beam Design: Designing Beams for Both Sounding and Communication With Uniform Planar Arrays

inferredcites →https://doi.org/10.1109/tcomm.2017.2691700openalex-snapshot

Compressed Sensing-Aided Downlink Channel Training for FDD Massive MIMO Systems

inferredcites →https://doi.org/10.1109/tii.2011.2173500openalex-snapshot

Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/tit.2005.862083openalex-snapshot

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

inferredcites →https://doi.org/10.1109/tit.2007.909108openalex-snapshot

Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

inferredcites →https://doi.org/10.1109/tit.2009.2034811openalex-snapshot

Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

inferredcites →https://doi.org/10.1109/tsp.2010.2044837openalex-snapshot

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

inferredcites →https://doi.org/10.1109/tsp.2010.2047721openalex-snapshot

Decentralized Sparse Signal Recovery for Compressive Sleeping Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/tsp.2012.2201149openalex-snapshot

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range

inferredcites →https://doi.org/10.1109/tsp.2012.2201153openalex-snapshot

Compressive Wideband Power Spectrum Estimation

inferredcites →https://doi.org/10.1109/tsp.2013.2283473openalex-snapshot

Wideband Spectrum Sensing From Compressed Measurements Using Spectral Prior Information

inferredcites →https://doi.org/10.1109/tsp.2014.2331613openalex-snapshot

Sub-Nyquist Sampling for Power Spectrum Sensing in Cognitive Radios: A Unified Approach

inferredcites →https://doi.org/10.1109/tsp.2015.2446444openalex-snapshot

Compressive Sensing With Prior Support Quality Information and Application to Massive MIMO Channel Estimation With Temporal Correlation

inferredcites →https://doi.org/10.1109/tsp.2015.2512562openalex-snapshot

Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes

inferredcites →https://doi.org/10.1109/tsp.2016.2515070openalex-snapshot

Closed-Loop Compressive CSIT Estimation in FDD Massive MIMO Systems With 1 Bit Feedback

inferredcites →https://doi.org/10.1109/tsp.2016.2521608openalex-snapshot

Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/tsp.2016.2616326openalex-snapshot

Closed-Loop Autonomous Pilot and Compressive CSIT Feedback Resource Adaptation in Multi-User FDD Massive MIMO Systems

inferredcites →https://doi.org/10.1109/tsp.2017.2759082openalex-snapshot

Malicious User Detection Based on Low-Rank Matrix Completion in Wideband Spectrum Sensing

inferredcites →https://doi.org/10.1109/tvt.2015.2400635openalex-snapshot

Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/tvt.2015.2501460openalex-snapshot

Compressive-Sensing-Based Multiuser Detector for the Large-Scale SM-MIMO Uplink

inferredcites →https://doi.org/10.1109/tvt.2015.2508033openalex-snapshot

Joint Channel Training and Feedback for FDD Massive MIMO Systems

inferredcites →https://doi.org/10.1109/twc.2008.060869openalex-snapshot

Sensing-Throughput Tradeoff for Cognitive Radio Networks

inferredcites →https://doi.org/10.1109/twc.2010.092810.091092openalex-snapshot

Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas

inferredcites →https://doi.org/10.1109/twc.2012.050112.110505openalex-snapshot

Sparsity Order Estimation and its Application in Compressive Spectrum Sensing for Cognitive Radios

inferredcites →https://doi.org/10.1109/twc.2014.040214.131770openalex-snapshot

Group Sparse Beamforming for Green Cloud-RAN

inferredcites →https://doi.org/10.1109/twc.2015.2485992openalex-snapshot

Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rate

inferredcites →https://doi.org/10.1109/twc.2016.2547861openalex-snapshot

Rate-Adaptive Feedback with Bayesian Compressive Sensing in Multiuser MIMO Beamforming Systems

inferredcites →https://doi.org/10.1109/vtcfall.2016.7881039openalex-snapshot

Implementation of Compressive Sensing with Real-Time Signals over TV White Space Spectrum in Cognitive Radio

inferredcites →https://doi.org/10.1109/wcnc.2012.6214417openalex-snapshot

Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays

inferredcites →https://doi.org/10.1137/060657704openalex-snapshot

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

inferredcites →https://doi.org/10.1137/100788884openalex-snapshot

Improved Bounds on Restricted Isometry Constants for Gaussian Matrices

inferredcites →https://doi.org/10.1186/1687-6180-2012-177openalex-snapshot

Enhanced compressive wideband frequency spectrum sensing for dynamic spectrum access

inferredcites →https://doi.org/10.21236/ada521228openalex-snapshot

Distributed Compressive Sensing

inferredcites →https://doi.org/10.4171/022-3/69openalex-snapshot

Compressive sampling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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On the Application of SWIPT in NOMA Networks

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User‐Centric Decentralized Federated Learning for Autoencoder‐Based CSI Feedback

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Filter proportionate normalized least mean square algorithm for a sparse system

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Data Compression Using Optimized Compressive Sensing in Cognitive Radio Network

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Sparse Representation in Wireless Networks

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Compatibility in NOMA

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Delay Minimization in Multi-UAV Assisted Wireless Networks: A Reinforcement Learning Approach

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Spectrum Recovery Improvement in Cognitive Radio Using Grey Wolf Optimizer

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Introduction

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Wavelet Transform for Signal Compression in Sparse Algorithms

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An Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT Networks

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Evaluation of Compressed Sensing and Recovery of Sound Signals Using Sparse Bayesian Learning Methods

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Sufficient Conditions Based on RIC for the PHT Algorithm

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A low-overhead compressed sensing-driven multi-party secret image sharing scheme

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Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods

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Underdetermined mixing matrix estimation based on artificial bee colony optimization and single-source-point detection

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Underdetermined mixing matrix estimation based on joint density-based clustering algorithms

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Compressive sensing-based energy consumption model for data gathering techniques in wireless sensor networks

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Combining Gradient-Based and Thresholding Methods for Improved Signal Reconstruction Performance

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Gradient-based adaptive modeling for IoT data transmission reduction

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Design of an adaptive framework with compressive sensing for spatial data in wireless sensor networks

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Energy Efficient Distributed Volterra Modeling Approach with ADMM-Based Sparse Signal Recovery

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Variational AutoEncoder Based CSI Feedback for Massive MIMO Systems

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Cooperative localisation for multi-RSU vehicular networks based on predictive beamforming

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DSCNN-AttNet: A low complexity deep learning framework for CSI feedback in mmWave massive MIMO systems

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Detection of security vulnerabilities in cryptographic ICs against fault injection attacks based on compressed sensing and basis pursuit

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Compressed sensing

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Deep Data Hiding-based CSI Feedback Overhead Elimination: An Initial Investigation

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UAV Millimeter-Wave Beam Training Based on Adaptive Sensing

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An Efficient Attention Mechanism Based Neural Network for CSI Feedback in Massive MIMO System

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Image Recovery from Incomplete Walsh Measurements Based on Orthogonal Matching Pursuit

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Swin Transformer-Based CSI Feedback for Massive MIMO

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Sparse Signal Processing for Massive Device Connectivity via Deep Learning

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Event-Triggered Offloading: Enabling Communication-Efficient Cooperative Edge AI

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Sparsity Domain Smoothing Based Thresholding Recovery Method for OFDM Sparse Channel Estimation

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Performance Analysis of Distributed Compressed Sensing Schemes for Data Aggregation in Low-Power Wireless Sensor Networks

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Pilot Compression Analysis for Feedback Based Channel Estimation Model in FDD Massive MIMO

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Deployment and Evaluation of LoRa Network Configuration Based on Random Forest

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Reconstruction Effect Analysis of Pipeline Water Leakage Signal Based on Compressed Sensing

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Deep Neural Network aided Sparse Bayesian Learning for Wireless Access Channel Estimation in mm-Wave Massive MIMO Cloud Radio Access Network Systems

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Distributed Compressive Sensing Augmented Wideband Spectrum Sharing for Cognitive IoT

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Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff

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Learning-Based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks

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Combine Data Collecting and Task Computing: Progressive Computing in Internet of Things

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A Scalable Deep-Learning-Based Active User Detection Approach for SEU-Assisted Cell-Free Massive MIMO Systems

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Pilot Precoding and CSI Feedback Compression for FDD Near-Field XL-MIMO Communications

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SMO-ISTA-Net: A Synergistic Multistage Optimization Deep-Unfolding JADCE Framework for GFRA in LEO Satellite-Based IoT Systems

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A Lightweight Multiattention Network With Denoising Block Designed for Massive MIMO CSI Feedback

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Sub-Nyquist Ultra-Wideband Sparse Signal Reception via Variable Frequency Comb

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Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

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Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems

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Eliminating CSI Feedback Overhead via Deep Learning-Based Data Hiding

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Indoor Object Sensing Using Radio-Frequency Identification With Inverse Methods

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Quantifying Sparsity of Underwater Acoustic Channel: Field Measurement and Analysis

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Adaptive Compressive Sensing Based on Sparsity Order Estimation for Wireless Image Sensor Networks

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An Effective Multimodel Fusion Method for SAR and Optical Remote Sensing Images

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User-Centric Online Gossip Training for Autoencoder-Based CSI Feedback

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MuSpel-Fi: Multipath Subspace Projection and ELM-Based Fingerprint Localization

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Improved Sufficient Conditions Based on RIC of Order 2s for IHT and HTP Algorithms

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Momentum-Based Iterative Hard Thresholding Algorithm for Sparse Signal Recovery

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Compressive Sensing in Wireless Powered Network: Regarding Transmission as Measurement

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IALNet: An Integration Attention Lightweight Neural Network for Massive MIMO CSI Feedback

inferred← citeshttps://doi.org/10.1109/lwc.2023.3347573openalex-snapshot

Low-Complexity Deep Learning Framework for CSI Feedback in Massive MIMO System

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Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems With Time Correlation

inferred← citeshttps://doi.org/10.1109/lwc.2024.3415633openalex-snapshot

Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems

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Deep Learning-Based CSI Feedback for XL-MIMO Systems in the Near-Field Domain

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CovNet: Covariance Information-Assisted CSI Feedback for FDD Massive MIMO Systems

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StarCANet: A Compact and Efficient Neural Network for Massive MIMO CSI Feedback

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A Shifted Window Attention-Based Lightweight Model for Massive MIMO CSI Feedback

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Low-Complexity Direction Finding Method for MIMO Radar Based on Compressive Sensing

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Low Complexity CSI Feedback Technique for FDD Massive MIMO Systems

inferred← citeshttps://doi.org/10.1109/msp.2018.2876858openalex-snapshot

2018 Index IEEE Signal Processing Magazine Vol. 35

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Taking Compressive Sensing to the Hardware Level: Breaking Fundamental Radio-Frequency Hardware Performance Tradeoffs

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Pathway to Intelligent Radio

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Deep Learning in Physical Layer Communications

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Secondary User Access Control (SUAC) via Quadratic Programming in Massive MIMO Cognitive Radio Networks

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Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation

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The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey

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Compressive Sensing in Massive MIMO Array Testing: A Practical Guide

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Physics-Informed Signal Processing for Time Series Data From Accelerating Sensors

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Interplay Between NOMA and Other Emerging Technologies: A Survey

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20 Years of Evolution From Cognitive to Intelligent Communications

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Measuring Sparsity of Wireless Channels

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Fully Convolutional Neural Network-Based CSI Limited Feedback for FDD Massive MIMO Systems

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A Unified Framework for Non-Orthogonal Multiple Access

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Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

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Clustered Millimeter-Wave Networks With Non-Orthogonal Multiple Access

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Communicating or Computing Over the MAC: Function-Centric Wireless Networks

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Exploiting NOMA for UAV Communications in Large-Scale Cellular Networks

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Sparse Bayesian Learning-Aided Joint Sparse Channel Estimation and ML Sequence Detection in Space-Time Trellis Coded MIMO-OFDM Systems

inferred← citeshttps://doi.org/10.1109/tcomm.2020.2974457openalex-snapshot

Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

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Learning Automata Based Q-Learning for Content Placement in Cooperative Caching

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Compressive Subspace Learning With Antenna Cross-Correlations for Wideband Spectrum Sensing

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Toward Optimal Rate-Delay Tradeoff for Computation Over Multiple Access Channel

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CAnet: Uplink-Aided Downlink Channel Acquisition in FDD Massive MIMO Using Deep Learning

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Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems

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Near-Field Channel Estimation in Mixed LoS/NLoS Environments for Extremely Large-Scale MIMO Systems

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Deep CSI Compression for Dual-Polarized Massive MIMO Channels With Disentangled Representation Learning

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Deep Learning-Based CSI Feedback for Wi-Fi Systems With Temporal Correlation

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Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading

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CSI Feedback Based on Bi-Directional Channel Reciprocity Using Magnitude and Phase Separation

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Sparse Learning of Higher-Order Statistics for Communications and Sensing

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UAV-Enabled Non-Orthogonal Multiple Access Networks for Ground-Air-Ground Communications

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Scalable Active User Detection Based on Federated Learning in Cell-Free Massive MIMO System

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A Low-Overhead, Confidentiality-Assured, and Authenticated Data Acquisition Framework for IoT

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Temporal Correlation Enhanced Multiuser Detection for Uplink Grant-Free NOMA

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Space-Based Multi-Dimensional Spectrum Situation Awareness: A Robust Streaming Tensor Subspace Tracking Approach

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Beyond the Limit: A Transformer-Based Approach to Analyze Wide and Non-Sparse Wireless Signals

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FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction

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Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems

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Uniform RIP Conditions for Recovery of Sparse Signals by $\ell _p\,(0< p\leq 1)$ Minimization

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Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization

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Recovery Guarantee Analyses of Joint Sparse Recovery via Tail $ \ell _{2,1}$ Minimization

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Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks

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Analyses of Successful Sparse Signal Recovery via Tail-$\ell_{2}$ Minimization

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Theory and Practice of Light-Weight Sequential SBL Algorithm: An Alternative to OMP

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A General Matched Filter Design for Reciprocity Calibration in Multiuser Massive MIMO Systems

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Fast Video Frame Correlation Analysis for Vehicular Networks by Using CVS–CNN

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Performance Analysis of Clustered LoRa Networks

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Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design

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Deep Learning and Compressive Sensing-Based CSI Feedback in FDD Massive MIMO Systems

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Beamforming Optimization for Intelligent Reflecting Surface Assisted MISO: A Deep Transfer Learning Approach

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Localization Based on Improved Sparse Bayesian Learning in mmWave MIMO Systems

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Joint CS Measurement Through Coherent MAC: Exploiting Joint Sparsity of Multiple Phenomena

inferred← citeshttps://doi.org/10.1109/tvt.2022.3176290openalex-snapshot

A Compressive Sensing and Deep Learning-Based Time-Varying Channel Estimation for FDD Massive MIMO Systems

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Lightweight Differential Frameworks for CSI Feedback in Time-Varying Massive MIMO Systems

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Channel Sparsity Variation and Model-Based Analysis on 6, 26, and 105 GHz Measurements

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Adaptive Sparse Channel Estimation for RIS-Assisted mmWave Massive MIMO Systems

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Optimal Compression and Transmission Rate Control for Node-Lifetime Maximization

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Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

inferred← citeshttps://doi.org/10.1109/twc.2021.3100500openalex-snapshot

Algorithm Unrolling for Massive Access via Deep Neural Networks With Theoretical Guarantee

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Deep Learning-Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems

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Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices

inferred← citeshttps://doi.org/10.1109/twc.2023.3297995openalex-snapshot

Joint UL/DL Dictionary Learning and Channel Estimation via Two-Timescale Optimization in Massive MIMO Systems

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Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

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Learning-Based Integrated CSI Feedback and Localization in Massive MIMO

inferred← citeshttps://doi.org/10.1109/twc.2024.3440275openalex-snapshot

A CSI-Based Data-Driven Localization Framework Using Small-Scale Training Datasets in Single-Site MIMO Systems

inferred← citeshttps://doi.org/10.1109/twc.2024.3485128openalex-snapshot

Machine-Learning-Aided TDD Massive MIMO Downlink Transmission for High-Mobility Multi-Antenna Users With Partial Uplink Channel State Information

inferred← citeshttps://doi.org/10.1109/twc.2024.3490600openalex-snapshot

Performance Monitoring-Enabled Reliable AI-Based CSI Feedback

inferred← citeshttps://doi.org/10.1109/twc.2026.3686493openalex-snapshot

Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems

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End-to-End Learning for Joint CSI Feedback and Prediction in FDD MIMO–OFDM Systems

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