Multi-User Hybrid Beamforming Relying on Learning-Aided Link-Adaptation for mmWave Systems

Multi-User Hybrid Beamforming Relying on Learning-Aided Link-Adaptation for mmWave Systems

Hybrid beamforming (HBF) relying on a large antenna array is conceived for millimeter wave (mmWave) systems, where the beamforming (BF) gain compensates for the propagation loss experienced. The BF gain required for a successful transmission depends on the user's distance from the base station...

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Bibliographic Details
Main Authors: K. Satyanarayana, Mohammed El-Hajjar, Alain A. M. Mourad, Lajos Hanzo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Millimeter wave
MIMO
beamforming
machine learning
Online Access:https://ieeexplore.ieee.org/document/8643353/

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