Advances in machine learning have widened the range of its applications in many fields. In
particular, deep learning has attracted much interest for its ability to provide solutions where …

In this paper, we study 5G Channel State Information feedback reporting. We show that a
Deep Learning approach based on Convolutional Neural Networks can be used to learn …

In this work, we propose a joint adaptive codebook construction and feedback generation
scheme in frequency divi-sion duplex (FDD) systems. Both unsupervised and supervised …

Deep learning (DL)-based channel state information (CSI) feedback provides satisfactory
reconstruction accuracy of downlink CSI for the base station in massive multiple-input …

Knowledge of the channel state information (CSI) at the transmitter side is one of the primary
sources of information that can be used for the efficient allocation of wireless resources …

Acquisition of accurate channel state information (CSI) is critical in multiple-input and
multiple-output (MIMO) systems to achieve efficient link adaptation. As CSI is typically …

In wireless communication, to fully utilize the spectrum and energy efficiency of the system, it
is necessary to obtain the channel state information (CSI) of the link. However, in Frequency …

In this work, we develop a joint denoising and feedback strategy for channel state
information in frequency division duplex systems. In such systems, the biggest challenge is …

Deep learning has been introduced to improve implicit channel state information (CSI)
feedback, and it significantly outperforms codebook-based feedback methods used in …

This paper studies the applications of Deep Learning (branch of Machine Learning) in 5G
wireless communication systems. Deep Learning requires having large sets of data for …