Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

This paper proposes a procedure of predicting channel characteristics based on a well-known machine learning (ML) algorithm and convolutional neural network (CNN), for three-dimensional (3D) millimetre wave (mmWave) massive multiple-input multiple-output (MIMO) indoor channels. The channel parameter...

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Bibliographic Details
Main Authors: Lu Bai, Cheng-Xiang Wang, Jie Huang, Qian Xu, Yuqian Yang, George Goussetis, Jian Sun, Wensheng Zhang
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2018/9783863

Internet

http://dx.doi.org/10.1155/2018/9783863

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