Throughput Based Adaptive Beamforming in 5G Millimeter Wave Massive MIMO Cellular Networks via Machine Learning-Reference-Cited by-同舟云学术

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Throughput Based Adaptive Beamforming in 5G Millimeter Wave Massive MIMO Cellular Networks via Machine Learning

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
language:
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Author:

Lavdas Spyros¹,Gkonis Panagiotis²,Zinonos Zinon¹,Trakadas Panagiotis³,Sarakis Lambros²

Affiliation:

1. Neapolis University,Department of Computer Science,Paphos,Cyprus,8042

2. National and Kapodistrian University of Athens, Dirfies Messapies,Department of Digital Industry Technologies,Greece

3. National and Kapodistrian University of Athens, Dirfies Messapies,Department of Port Management and Shipping,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860566.pdf?arnumber=9860566

Reference18 articles.

1. Multi-Label Learning Based Antenna Selection in Massive MIMO Systems

2. Machine Learning Aided Hybrid Beamforming in Massive-MIMO Millimeter Wave Systems

3. Deep Neural Hybrid Beamforming for Multi-User mmWave Massive MIMO System

4. Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding

5. Study on channel model for frequencies from 0.5 to 100 GHz;3rd Generation Partnership Project (3GPP) Tech Rep,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Massive MIMO based beamforming by optical multi-hop communication with energy efficiency for smart grid IoT 5G application;Optical and Quantum Electronics;2023-12-08

2. A Machine Learning Adaptive Beamforming Framework for 5G Millimeter Wave Massive MIMO Multicellular Networks;IEEE Access;2022

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