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Low-Complexity Joint Channel Estimation for Multi-User mmWave Massive MIMO Systems

https://doi.org/10.3390/electronics9020301

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What this work says

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

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Comparingparameter choice methods for regularization of ill-posed problems

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Fundamentals of Wireless Communication

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Surface Wave Reduction in Antenna Arrays Using Metasurface Inclusion for MIMO and SAR Systems

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Isolation enhancement of densely packed array antennas with periodic MTM-photonic bandgap for SAR and MIMO systems

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Isolation enhancement of densely packed array antennas with periodic MTM‐photonic bandgap for SAR and MIMO systems

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Performance enhancement using multiple‐input multiple‐output (MIMO) electronic relay in massive MIMO cellular networks

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Optimization Transfer Using Surrogate Objective Functions

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An Overview of Low-Rank Channel Estimation for Massive MIMO Systems

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2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding

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Optimal Hybrid Beamforming Design for Millimeter-Wave Massive Multi-User MIMO Relay Systems

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A practical SDMA protocol for 60 GHz millimeter wave communications

inferredcites →https://doi.org/10.1109/icc.2014.6884026openalex-snapshot

Antenna grouping based feedback reduction for FDD-based massive MIMO systems

inferredcites →https://doi.org/10.1109/iciea.2019.8834032openalex-snapshot

Overlapped Sub-Array Based Hybrid Precoding for mmWave Massive MIMO System with Lens Arrays

inferredcites →https://doi.org/10.1109/itnec.2019.8729049openalex-snapshot

Implementation of Matrix SVD Decomposition Module for Subspace Channel Estimation

inferredcites →https://doi.org/10.1109/jsac.2013.130205openalex-snapshot

Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?

inferredcites →https://doi.org/10.1109/jsac.2017.2719924openalex-snapshot

Millimeter Wave Communications for Future Mobile Networks

inferredcites →https://doi.org/10.1109/jstsp.2014.2324534openalex-snapshot

Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means

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.2018.2819130openalex-snapshot

Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems

inferredcites →https://doi.org/10.1109/jstsp.2019.2934931openalex-snapshot

An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques

inferredcites →https://doi.org/10.1109/lcomm.2005.06006openalex-snapshot

An iterative singular vectors estimation scheme for beamforming transmission and detection in MIMO systems

inferredcites →https://doi.org/10.1109/lcomm.2015.2492960openalex-snapshot

Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems

inferredcites →https://doi.org/10.1109/lcomm.2016.2555299openalex-snapshot

Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels

inferredcites →https://doi.org/10.1109/lcomm.2017.2769657openalex-snapshot

Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments

inferredcites →https://doi.org/10.1109/lcomm.2019.2897995openalex-snapshot

Massive MIMO Channel Estimation Over the mmWave Systems Through Parameters Learning

inferredcites →https://doi.org/10.1109/lsp.2013.2285579openalex-snapshot

Exact Reconstruction Analysis of Log-Sum Minimization for Compressed Sensing

inferredcites →https://doi.org/10.1109/lwc.2019.2906168openalex-snapshot

Blind Multiuser Detection in Massive MIMO Channels With Clustered Sparsity

inferredcites →https://doi.org/10.1109/mcom.2014.6894453openalex-snapshot

Millimeter-wave massive MIMO: the next wireless revolution?

inferredcites →https://doi.org/10.1109/tcomm.2015.2434384openalex-snapshot

Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design

inferredcites →https://doi.org/10.1109/tcomm.2017.2761384openalex-snapshot

Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity

inferredcites →https://doi.org/10.1109/tcomm.2019.2892719openalex-snapshot

Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation With Laplacian Prior

inferredcites →https://doi.org/10.1109/tsp.2013.2278512openalex-snapshot

Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems

inferredcites →https://doi.org/10.1109/tsp.2016.2572041openalex-snapshot

Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach

inferredcites →https://doi.org/10.1109/tsp.2019.2956677openalex-snapshot

A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint

inferredcites →https://doi.org/10.1109/tsp.2019.2959250openalex-snapshot

Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems With Quantized Phase Shifters

inferredcites →https://doi.org/10.1109/tvt.2018.2842724openalex-snapshot

Super-Resolution Channel Estimation for MmWave Massive MIMO With Hybrid Precoding

inferredcites →https://doi.org/10.1109/tvt.2018.2854735openalex-snapshot

Time-Varying Channel Estimation for Millimeter Wave Multiuser MIMO Systems

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.2014.011714.130846openalex-snapshot

Spatially Sparse Precoding in Millimeter Wave MIMO Systems

inferredcites →https://doi.org/10.1109/twc.2018.2874640openalex-snapshot

Angle Domain Channel Estimation in Hybrid Millimeter Wave Massive MIMO Systems

What points at this work

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

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Accurate Channel Estimation and Hybrid Beamforming Using Artificial Intelligence for Massive Mimo 5g Systems

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Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies

inferred← citeshttps://doi.org/10.1007/s11276-021-02546-wopenalex-snapshot

Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands

inferred← citeshttps://doi.org/10.1016/j.aeue.2023.154971openalex-snapshot

Accurate channel estimation and hybrid beamforming using Artificial Intelligence for massive MIMO 5G systems

inferred← citeshttps://doi.org/10.1109/pimrc59610.2024.10817299openalex-snapshot

Sparsity-based Channel Estimation for RIS-aided MIMO mmWave Communication Systems

inferred← citeshttps://doi.org/10.1109/tvt.2020.3045301openalex-snapshot

Fast Beam Training for FDD Multi-User Massive MIMO Systems With Finite Phase Shifter Resolution

inferred← citeshttps://doi.org/10.22266/ijies2020.1031.36openalex-snapshot

Multi-User Massive MIMO Systems Based on Hybrid Analog-Digital Beamforming for Millimeter-wave Communications

inferred← citeshttps://doi.org/10.3390/app10124397openalex-snapshot

Precise Channel Estimation Approach for a mmWave MIMO System

inferred← citeshttps://doi.org/10.3390/electronics12092102openalex-snapshot

Robust Channel Estimation Scheme for Multi-UAV MmWave MIMO Communication with Jittering

inferred← citeshttps://doi.org/10.5121/ijcnc.2022.14106openalex-snapshot

Adaptive Random Spatial based Channel Estimation (ARSCE) for Millimeter Wave MIMO System

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