Cargando…

Low-Complexity Soft-Output Signal Detection Based on Improved Kaczmarz Iteration Algorithm for Uplink Massive MIMO System

For multi-user uplink massive multiple input multiple output (MIMO) systems, minimum mean square error (MMSE) criterion-based linear signal detection algorithm achieves nearly optimal performance, on condition that the number of antennas at the base station is asymptotically large. However, it invol...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Hebiao, Shen, Bin, Zhao, Shufeng, Gong, Peng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146272/ https://www.ncbi.nlm.nih.gov/pubmed/32168889 http://dx.doi.org/10.3390/s20061564

Ejemplares similares

Kaczmarz Iterative Projection and Nonuniform Sampling with Complexity Estimates
por: Wallace, Tim, et al.
Publicado: (2014)

Spectral and Energy Efficient Low-Overhead Uplink and Downlink Channel Estimation for 5G Massive MIMO Systems
por: Khan, Imran, et al.
Publicado: (2018)

Uplink Sparse Channel Estimation for Hybrid Millimeter Wave Massive MIMO Systems by UTAMP-SBL
por: Hou, Shuai, et al.
Publicado: (2021)

Mitigation pilot contamination based on matching technique for uplink cell-free massive MIMO systems
por: Al Ayidh, Abdulrahman, et al.
Publicado: (2022)

Uplink NOMA-MIMO Systems with Rayleigh Power Distribution
por: Bakulin, Mikhail, et al.
Publicado: (2022)

Spectral Efficiency Augmentation in Uplink Massive MIMO Systems by Increasing Transmit Power and Uniform Linear Array Gain
por: Arshad, Jehangir, et al.
Publicado: (2020)

Remarks on Kaczmarz Algorithm for Solving Consistent and Inconsistent System of Linear Equations
por: Huang, Xinyin, et al.
Publicado: (2020)

Gibbs Sampling Detection for Large MIMO and MTC Uplinks with Adaptive Modulation
por: Rosário, Francisco, et al.
Publicado: (2022)

Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
por: Zhang, Yinhao, et al.
Publicado: (2022)

Uplink Assisted MIMO Channel Feedback Method Based on Deep Learning
por: Liu, Qingli, et al.
Publicado: (2023)

Persistent Periodic Uplink Scheduling Algorithm for Massive NB-IoT Devices
por: Wu, Tin-Yu, et al.
Publicado: (2022)

PCQNet: A Trainable Feedback Scheme of Precoder for the Uplink Multi-User MIMO Systems
por: Bao, Xiuwen, et al.
Publicado: (2022)

Massive MIMO detection algorithm and VLSI architecture
por: Liu, Leibo, et al.
Publicado: (2019)

A Low Complexity Near-Optimal Iterative Linear Detector for Massive MIMO in Realistic Radio Channels of 5G Communication Systems
por: Albreem, Mahmoud A., et al.
Publicado: (2020)

Iterative Analog–Digital Multi-User Equalizer for Wideband Millimeter Wave Massive MIMO Systems
por: Magueta, Roberto, et al.
Publicado: (2020)

A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography
por: Chen, Duofan, et al.
Publicado: (2016)

Uplink Scheduling of Navigation Constellation Based on Immune Genetic Algorithm
por: Tang, Yinyin, et al.
Publicado: (2016)

Some power allocation algorithms for cognitive uplink satellite systems
por: Louchart, Arthur, et al.
Publicado: (2023)

A Method of Implementing a 4 × 4 Correlation Matrix for Evaluating the Uplink Channel Properties of MIMO Over-the-Air Apparatus
por: Honda, Kazuhiro
Publicado: (2021)

Low Complexity MIMO Detection
por: Bai, Lin, et al.
Publicado: (2012)

Low complexity MIMO receivers
por: Bai, Lin, et al.
Publicado: (2014)

5G Massive MIMO Signal Detection Algorithm Based on Deep Learning
por: Yan, Lichao, et al.
Publicado: (2022)

Massive MIMO in 5G networks
por: Zhao, Long, et al.
Publicado: (2017)

LDPC Coded Massive MIMO Systems
por: Hwang, Inho, et al.
Publicado: (2019)

Exploring the physical layer frontiers of cellular uplink: The Vienna LTE-A Uplink Simulator
por: Zöchmann, Erich, et al.
Publicado: (2016)

Linear precoding based on polynomial expansion: reducing complexity in massive MIMO
por: Mueller, Axel, et al.
Publicado: (2016)

Retracted: 5G Massive MIMO Signal Detection Algorithm Based on Deep Learning
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Low Complexity Hybrid Precoding Designs for Multiuser mmWave/THz Ultra Massive MIMO Systems
por: Pavia, João Pedro, et al.
Publicado: (2021)

Hybrid massive MIMO precoding in cloud-RAN
por: Le-Ngoc, Tho, et al.
Publicado: (2018)

Low-Bit Rate Feedback Strategies for Iterative IA-Precoded MIMO-OFDM-Based Systems
por: Teodoro, Sara, et al.
Publicado: (2014)

Energy Efficiency Optimization in Massive MIMO Secure Multicast Transmission
por: Jiang, Bin, et al.
Publicado: (2020)

Performance evaluation of frequency division duplex (FDD) massive multiple input multiple output (MIMO) under different correlation models
por: Abdul-Hadi, Alaa M., et al.
Publicado: (2022)

A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems
por: Lee, Ki-Hun, et al.
Publicado: (2022)

Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
por: Junior, Milembolo Miantezila, et al.
Publicado: (2021)

Complex-Valued Phase Transmittance RBF Neural Networks for Massive MIMO-OFDM Receivers
por: Soares, Jonathan Aguiar, et al.
Publicado: (2021)

Massive MIMO meets small cell: backhaul and cooperation
por: Yang, Howard H, et al.
Publicado: (2017)

Efficient Massive MIMO Detection for M-QAM Symbols
por: Quan, Zhi, et al.
Publicado: (2023)

Technology Trends for Massive MIMO towards 6G
por: Huo, Yiming, et al.
Publicado: (2023)

A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems
por: Kim, Tae-Kyoung, et al.
Publicado: (2022)

Joint iterative channel and data estimation in high mobility MIMO-OFDM systems
por: Sand, Stephan
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_2sebb7c4qovvlar5o0jrtj0ncf