Deep Learning Enabled Beam Tracking for Non-Line of Sight Millimeter Wave Communications
To solve the complex beam alignment issue in non-line-of-sight (NLOS) millimeter wave communications, this paper presents a deep neural network (DNN) based procedure to predict the angle of arrival (AOA) and angle of departure (AOD) both in terms of azimuth and elevation, i.e., AAOA/AAOD and EAOA/EA...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Open Journal of the Communications Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9478921/ |