Machine Learning Inspired Hybrid Precoding for Wideband Millimeter-Wave Massive MIMO Systems

Machine Learning Inspired Hybrid Precoding for Wideband Millimeter-Wave Massive MIMO Systems

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) has already been considered as a promising solution to meet the requirement of the higher data rate for the future Internet of Things (IoTs). Hybrid precoding is an effective solution for the mmWave massive MIMO systems to signif...

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Bibliographic Details
Main Authors: Talha Mir, Muhammed Zain Siddiqi, Usama Mir, Richard Mackenzie, Mo Hao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Millimeter-wave
massive MIMO
hybrid precoding
energy efficiency
machine learning
Online Access:https://ieeexplore.ieee.org/document/8715347/

Internet

https://ieeexplore.ieee.org/document/8715347/

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