Cargando…

Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems

The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the most promising 5G wireless communication systems...

Descripción completa

Detalles Bibliográficos
Autores principales:	Naeem, Muddasar, De Pietro, Giuseppe, Coronato, Antonio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749942/ https://www.ncbi.nlm.nih.gov/pubmed/35009848 http://dx.doi.org/10.3390/s22010309

Ejemplares similares

Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning
por: Naeem, Muddasar, et al.
Publicado: (2022)

Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks
por: Cho, Sunghyun, et al.
Publicado: (2013)

Cluster Content Caching: A Deep Reinforcement Learning Approach to Improve Energy Efficiency in Cell-Free Massive Multiple-Input Multiple-Output Networks
por: Tan, Fangqing, et al.
Publicado: (2023)

Design and Imaging of Ground-Based Multiple-Input Multiple-Output Synthetic Aperture Radar (MIMO SAR) with Non-Collinear Arrays
por: Hu, Cheng, et al.
Publicado: (2017)

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)

Antenna selection for multiple-input multiple-output systems based on deep convolutional neural networks
por: Cai, Jia-xin, et al.
Publicado: (2019)

High-Performance Anti-Retransmission Deception Jamming Utilizing Range Direction Multiple Input and Multiple Output (MIMO) Synthetic Aperture Radar (SAR)
por: Wang, Ruijia, et al.
Publicado: (2017)

Reinforcement Learning-Aided Channel Estimator in Time-Varying MIMO Systems
por: Kim, Tae-Kyoung, et al.
Publicado: (2023)

Deep reinforcement learning with significant multiplications inference
por: Ivanov, Dmitry A., et al.
Publicado: (2023)

Multiple-input multiple-output causal strategies for gene selection
por: Bontempi, Gianluca, et al.
Publicado: (2011)

Multiple-input multiple-output channel models: theory and practice
por: Costa, Nelson, et al.
Publicado: (2010)

Deep Reinforcement Learning-Based Coordinated Beamforming for mmWave Massive MIMO Vehicular Networks
por: Tarafder, Pulok, et al.
Publicado: (2023)

The Capacity Gain of Orbital Angular Momentum Based Multiple-Input-Multiple-Output System
por: Zhang, Zhuofan, et al.
Publicado: (2016)

Deep Learning Based Antenna Selection for MIMO SDR System †
por: Zhong, Shida, et al.
Publicado: (2020)

Design and Development of a Triple-Band Multiple-Input–Multiple-Output Antenna for Sensing Applications
por: Raheja, Dinesh Kumar, et al.
Publicado: (2022)

General Signal Model for Multiple-Input Multiple-Output GMTI Radar
por: Li, Fuyou, et al.
Publicado: (2018)

Reinforcement Learning-Based Joint User Pairing and Power Allocation in MIMO-NOMA Systems
por: Lee, Jaehee, et al.
Publicado: (2020)

Analysis of millimetre-wave polarization diverse multiple-input multiple-output capacity
por: Lawrence, Nicholas P., et al.
Publicado: (2015)

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction
por: He, Dan, et al.
Publicado: (2016)

DLSMR: Deep Learning-Based Secure Multicast Routing Protocol against Wormhole Attack in Flying Ad Hoc Networks with Cell-Free Massive Multiple-Input Multiple-Output †
por: Pramitarini, Yushintia, 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)

A Multiple-Input Multiple-Output Reservoir Computing System Subject to Optoelectronic Feedbacks and Mutual Coupling
por: Bao, Xiurong, et al.
Publicado: (2020)

Control of neural systems at multiple scales using model-free, deep reinforcement learning
por: Mitchell, B. A., et al.
Publicado: (2018)

A Compact Ultra-Thin 4 × 4 Multiple-Input Multiple-Output Antenna
por: Zhang, Chuanba, et al.
Publicado: (2022)

Deep Learning for Joint Pilot Design and Channel Estimation in MIMO-OFDM Systems
por: Kang, Xiao-Fei, et al.
Publicado: (2022)

Passive Beamforming Design of IRS-Assisted MIMO Systems Based on Deep Learning
por: Zhang, Hui, et al.
Publicado: (2023)

The state of the art in beyond 5G distributed massive multiple-input multiple-output communication system solutions
por: Meyer, E., et al.
Publicado: (2022)

Cooperative Search Method for Multiple UAVs Based on Deep Reinforcement Learning
por: Gao, Mingsheng, et al.
Publicado: (2022)

Deep Learning for Massive MIMO Channel State Acquisition and Feedback
por: Boloursaz Mashhadi, Mahdi, et al.
Publicado: (2020)

Development of 60-GHz millimeter wave, electromagnetic bandgap ground planes for multiple-input multiple-output antenna applications
por: Ullah, Sana, et al.
Publicado: (2020)

Antenna Placement Optimization for Distributed MIMO Radar Based on a Reinforcement Learning Algorithm
por: Zhu, Jin, et al.
Publicado: (2023)

Design and Implementation of a 2D MIMO OCC System Based on Deep Learning
por: Sitanggang, Ones Sanjerico, et al.
Publicado: (2023)

Modification of Simple Antenna Pattern Models for Inter-Beam Interference Assessment in Massive Multiple-Input–Multiple-Output Systems †
por: Wojtuń, Jarosław, et al.
Publicado: (2023)

3D cephalometric landmark detection by multiple stage deep reinforcement learning
por: Kang, Sung Ho, et al.
Publicado: (2021)

A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection
por: Lin, Chuan, et al.
Publicado: (2019)

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

Control of randomly scattered surface plasmon polaritons for multiple-input and multiple-output plasmonic switching devices
por: Choi, Wonjun, et al.
Publicado: (2017)

A Compact Planar Dual-Band Multiple-Input and Multiple-Output Antenna with High Isolation for 5G and 4G Applications
por: Yang, Rong, et al.
Publicado: (2021)

Deep-Learning-Based Adaptive Symbol Decision for Visual MIMO System with Variable Channel Modeling
por: Kim, Jai-Eun, et al.
Publicado: (2022)

Intelligent Reflecting Surface-Assisted Physical Layer Key Generation with Deep Learning in MIMO Systems
por: Liu, Shengjie, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_gojgmlc2vnubgmfgphqr0f4dvg