For frequency division duplex (FDD) systems, downlink channel state information (CSI)
feedback is essential. Deep learning-based auto-encoder (AE) structures have shown …

Deep learning based channel state information (CSI) acquisition and feedback in frequency
division duplex systems have drawn much attention in the beyond fifth-generation (B5G) …

Deep learning based channel state information (CSI) feedback in frequency division duplex
systems has drawn much attention in both academia and industry. In this paper, we focus on …

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 …

In multiple-input multiple-output (MIMO) systems, the high-resolution channel information
(CSI) is required at the base station (BS) to ensure optimal performance, especially in the …

Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output systems. Recently, deep learning (DL) has been …

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 …

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

Deep learning (DL)-based channel state information (CSI) feedback improves the capacity
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …

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 …