2019
DOI: 10.1109/access.2019.2916799
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Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction

Abstract: 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 multiuser interference (MI) contaminates the signal. Furthermore, the system performance may also be limited by channel aging that arises because of the time-varying nature of the channel. Therefore, in this paper, we conceive FD hybrid beamforming (HBF) for K-user multipleinput multiple-output … Show more

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Cited by 18 publications
(31 citation statements)
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“…Data-driven channel estimation is one of the applications that has attracted immense research attention. An artificial neural networks (ANN) channel prediction scheme was proposed in [8]. This scheme was combined with hybrid beamforming (HBF) techniques to improve the performance of a full-duplex (FD) Millimeter Wave (mmWave) system that communicates with K multiple-input multiple-output (MIMO) users.…”
Section: A Related Workmentioning
confidence: 99%
“…Data-driven channel estimation is one of the applications that has attracted immense research attention. An artificial neural networks (ANN) channel prediction scheme was proposed in [8]. This scheme was combined with hybrid beamforming (HBF) techniques to improve the performance of a full-duplex (FD) Millimeter Wave (mmWave) system that communicates with K multiple-input multiple-output (MIMO) users.…”
Section: A Related Workmentioning
confidence: 99%
“…Other relevant research directions are focused on the areas of mmWave channel modeling [43]- [47], transceiver design [48]- [52] and antenna design [53]- [58]. The core research directions in mmWave wireless systems are summarized in Table 3.…”
Section: ) Millimeter-wave Communicationsmentioning
confidence: 99%
“…Unlike SISO systems, MIMO systems can use extra spatial dimensions, and many received signals for self-interference cancellation. A precoding scheme [40], [48]- [50] has been developed to optimize the receiver weight matrix and transmitter precoder matrix for reducing self-interference. In [41], it was mentioned that, on a massive MIMO system, the selfinterference can be reduced by a zero-forcing receiver with a large number of transmitting and receiving antennas.…”
Section: B Review Of Previous Research: Digital Approachmentioning
confidence: 99%