Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction

Millimeter Wave (mmWave) technology coupled with full duplex (FD) communication has the potential of increasing the spectral efficiency. However, the self-interference (SI) encountered in the FD mode and the ubiquitous multi-user interference (MI) contaminates the signal. Furthermore, the system per...

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Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 66068 - 66083
Main Authors:	Satyanarayana, K., El-Hajjar, Mohammed, Mourad, Alain A. M., Hanzo, Lajos
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Aging Array signal processing Beamforming Channel estimation full duplex hybrid precoding Interference Learning machine learning Millimeter wave Millimeter waves MIMO MIMO communication Neural networks OFDM Orthogonal Frequency Division Multiplexing Radio frequency Transceivers Transmitters
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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